SYSTEMS AND METHODS FOR GENOME-WIDE ANNOTATION OF GENE REGULATORY ELEMENTS LINKED TO CELL FITNESS

Abstract
Disclosed herein are compositions and methods for targeting a novel regulatory element of a gene. The compositions may be used in methods of modifying growth of a cell, decreasing cell fitness, increasing cell fitness, and/or treating cancer such as leukemia.
Description
REFERENCE TO AN ELECTRONIC SEQUENCE LISTING

The contents of the electronic sequence listing (028193-9363-US04 Sequence Listing.xml, 509,861 bytes, and created on Jul. 25, 2023) is herein incorporated by reference in its entirety.


FIELD

This disclosure relates to targeting gene regulatory elements that affect cell fitness. The disclosure further relates to compositions and methods for treating leukemia.


INTRODUCTION

Human gene regulatory elements control gene expression and orchestrate many biological processes including cell differentiation, proliferation, and environmental responses. Genetic and epigenetic variation that alters gene regulatory element function is a primary contributor to human traits and susceptibility to common disease. Studies of chromatin state and transcription factor occupancy have identified millions of putative human gene regulatory elements. The biological importance and large number of putative human gene regulatory elements have motivated the development of high-throughput technologies to measure regulatory element activity genome-wide. Examples include genome-wide assays that measure putative regulatory element activity on reporter gene expression, and targeted CRISPR-based methods to measure the effects of genetic or epigenetic perturbation of up to thousands of regulatory elements in their native chromosomal context.


One measure of gene or regulatory element function is its contribution to overall cell fitness, comprising the balance of cell survival and proliferation. Genome-wide technologies, such as RNAi and CRISPR-based screens, have identified genes involved in diverse cellular processes. CRISPR-based genetic or epigenetic perturbation of noncoding regulatory elements within specific genomic loci have identified target genes and downstream effects on cell phenotypes. However, these perturbation screens of distal regulatory elements have generally been limited to small regions of the genome or loci encoding oncogenes. Consequently, functional understanding of the millions of predicted human gene regulatory elements remains sparse, making it difficult to routinely establish gene regulatory contributions to human traits and disease.


SUMMARY

In an aspect, the disclosure relates to a composition for treating leukemia. The composition may include a Cas9 protein or a fusion protein, wherein the fusion protein comprises two heterologous polypeptide domains, wherein the first polypeptide domain comprises a Cas9 protein and the second polypeptide domain has an activity selected from the group consisting of transcription activation activity, transcription repression activity, transcription release factor activity, histone modification activity, nuclease activity, nucleic acid association activity, methylase activity, and demethylase activity; and at least one guide RNA (gRNA) that targets the Cas9 protein to a regulatory element of a target gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, IGBP1, FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR.


In some embodiments, the gRNA targets the Cas9 protein to a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 339-479. In some embodiments, the gRNA is encoded by a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 57-197 or comprises a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 198-338. In some embodiments, the composition inhibits cell viability. In some embodiments, the target gene is selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1. In some embodiments, the gRNA targets the Cas9 protein to a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 339-473. In some embodiments, the gRNA is encoded by a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 57-191 or comprises a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 198-332. In some embodiments, the composition increases cell viability. In some embodiments, the target gene is selected from FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR. In some embodiments, the gRNA targets the Cas9 protein to a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 474-479. In some embodiments, the gRNA is encoded by a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 192-197 or comprises a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 333-338. In some embodiments, the Cas protein comprises a Streptococcus pyogenes Cas9 protein, a Staphylococcus aureus Cas9 protein, or any fragment thereof. In some embodiments, the Cas9 protein comprises an amino acid sequence having at least 90% or greater identity to a sequence selected from SEQ ID NOs: 20-23, or any fragment thereof, or is encoded by a polynucleotide comprising a sequence having at least 90% or greater identity to a sequence selected from SEQ ID NOs: 24-26, or any fragment thereof. In some embodiments, the Cas9 protein comprises an amino acid sequence having one, two, three, four, five or more changes selected from amino acid substitutions, insertions, or deletions, relative to a sequence selected from SEQ ID NOs: 20-23, or any fragment thereof, or is encoded by a polynucleotide comprising a sequence having one, two, three, four, five or more changes selected from nucleotide substitutions, insertions, or deletions, relative to a sequence selected from SEQ ID NOs: 24-26, or any fragment thereof. In some embodiments, the Cas9 protein comprises the amino acid sequence of SEQ ID NO: 20 or 21 or 22 or 23, or any fragment thereof, or is encoded by a polynucleotide comprising a sequence selected from SEQ ID NOs: 24 or 25 or 26. In some embodiments, the second polypeptide domain comprises a polypeptide selected from VP16, VP64, p65, TET1, VPR, VPH, Rta, p300, p300 core, KRAB, MECP2, EED, ERD, Mad mSIN3 interaction domain (SID), or Mad-SID repressor domain, SID4X repressor, Mxil repressor, SUV39H1, SUV39H2, G9A, ESET/SETBD1, Cir4, Su(var)3-9, Pr-SET7/8, SUV4-20H1, PR-set7, Suv4-20, Set9, EZH2, RIZ1, JMJD2A/JHDM3A, JMJD2B, JMJ2D2C/GASC1, JMJD2D, Rph1, JARID1A/RBP2, JARID1B/PLU-1, JARID1C/SMCX, JARID1D/SMCY, Lid, Jhn2, Jmj2, HDAC1, HDAC2, HDAC3, HDAC8, Rpd3, Hos1, Cir6, HDAC4, HDAC5, HDAC7, HDAC9, Hda1, Cir3, SIRT1, SIRT2, Sir2, Hst1, Hst2, Hst3, Hst4, HDAC11, DNMT1, DNMT3a/3b, DNMT3A-3L, MET1, DRM3, ZMET2, CMT1, CMT2, Laminin A, Laminin B, CTCF, a domain having TATA box binding protein activity, ERF1, and ERF3. In some embodiments, the second polypeptide domain has transcription repression activity. In some embodiments, the second polypeptide domain comprises KRAB. In some embodiments, KRAB comprises an amino acid sequence having at least 90% or greater identity to SEQ ID NO: 55, or any fragment thereof. In some embodiments, KRAB comprises an amino acid sequence having one, two, three, four, five or more changes selected from amino acid substitutions, insertions, or deletions, relative to SEQ ID NO: 55, or any fragment thereof. In some embodiments, KRAB comprises the amino acid sequence of SEQ ID NO: 55, or any fragment thereof. In some embodiments, fusion protein comprises an amino acid sequence having at least 90% or greater identity to SEQ ID NO: 40 or 42, or any fragment thereof. In some embodiments, fusion protein comprises an amino acid sequence having one, two, three, four, five or more changes selected from amino acid substitutions, insertions, or deletions, relative to SEQ ID NO: 40 or 42, or any fragment thereof. In some embodiments, fusion protein comprises the amino acid sequence of SEQ ID NO: 40 or 42, or any fragment thereof. In some embodiments, the leukemia is chronic myeloid leukemia (CML). In some embodiments, the leukemia is acute myeloid leukemia (AML).


In a further aspect, the disclosure relates to an isolated polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 57-338. In a further aspect, the disclosure relates to an isolated polynucleotide sequence encoding a composition as detailed herein. In a further aspect, the disclosure relates to a vector comprising an isolated polynucleotide sequence as detailed herein. In a further aspect, the disclosure relates to a vector encoding a composition as detailed herein. In a further aspect, the disclosure relates to a cell comprising a composition as detailed herein, an isolated polynucleotide sequence as detailed herein, or a vector as detailed herein, or a combination thereof. In a further aspect, the disclosure relates to a pharmaceutical composition comprising a composition as detailed herein, an isolated polynucleotide sequence as detailed herein, a vector as detailed herein, or a cell as detailed herein, or a combination thereof.


Another aspect of the disclosure provides method of treating leukemia in a subject. The method may include targeting a regulatory element of, or modifying the expression of, a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 in the subject. In some embodiments, modifying the expression of the gene comprises reducing expression of the gene. In some embodiments, the method includes administering to the subject a composition as detailed herein, an isolated polynucleotide sequence as detailed herein, a vector as detailed herein, a cell as detailed herein, or a pharmaceutical composition as detailed herein, or a combination thereof. In some embodiments, the leukemia is chronic myeloid leukemia (CML). In some embodiments, the leukemia is acute myeloid leukemia (AML).


Another aspect of the disclosure provides a method of modifying growth of a cell. The method may include targeting a regulatory element of, or modifying the expression of, a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, IGBP1, FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR in the cell. In some embodiments, the method includes administering to the cell a composition as detailed herein, an isolated polynucleotide sequence as detailed herein, or a vector as detailed herein, or a combination thereof.


Another aspect of the disclosure provides a method of decreasing cell fitness. The method may include targeting a regulatory element of, or modifying the expression of, a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, ILI ORB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 in the cell. In some embodiments, the targeting includes administering to a cell a composition as detailed herein, an isolated polynucleotide sequence as detailed herein, or a vector as detailed herein, or a combination thereof. In some embodiments, decreasing cell fitness comprises decreasing cell growth rate, decreasing cell growth duration, decreasing cell size, increasing cell death, or a combination thereof.


Another aspect of the disclosure provides a method of increasing cell fitness. The method may include targeting a regulatory element of, or modifying the expression of, a gene selected from FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR in the cell. In some embodiments, the targeting comprises administering to a cell a composition as detailed herein, an isolated polynucleotide sequence as detailed herein, or a vector as detailed herein, or a combination thereof. In some embodiments, increasing cell fitness comprises increasing cell growth rate, increasing cell growth duration, increasing cell size, or a combination thereof.


Another aspect of the disclosure provides all that is disclosed in any of TABLES S1-S17, 18A, 18B, 19A, and 19B of Klann et al. 2021, “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety. Another aspect of the disclosure provides any and all methods, and/or processes, and/or devices, and/or systems, and/or devices, and/or kits, and/or products, and/or materials, and/or compositions, and/or uses shown and/or described expressly or by implication in the information provided herewith, including but not limited to features that may be apparent and/or understood by those of skill in the art.


The disclosure provides for other aspects and embodiments that will be apparent in light of the following detailed description and accompanying figures.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1A is an overall schematic of (i) discovery wgCERES screen, (ii) secondary validation screen of regulatory elements, (iii) cell-type specificity, and (iv) single-cell (scCERES) readout to connect cell fitness-associated regulatory elements to target genes. FIG. 1B is a schematic of wgCERES approach. gRNAs are designed to all DHSs in the K562 cell line and synthesized as a pool for lentiviral delivery. K562 cells either constitutively expressing or not expressing dCas9KRAB are treated with the lentiviral gRNA library at a low MOI and cultured for 14 population doublings. Genomic DNA is then harvested and the gRNA abundance is quantified by Illumina sequencing. FIG. 1C is a schematic describing four levels of gRNA grouping analyses, including individual gRNA, sliding windows of 2 or 3 gRNAs, and averaging all gRNAs within a DHS. FIG. 1D is a summary of DHS hits identified by significant changes to individual gRNAs or grouped gRNAs. FIG. 1E is a volcano plot of significance of gRNA changes relative to log 2 (fold-change). FIG. 1F is a distribution of significant gRNAs relative to transcriptional start sites of nearest genes. FIG. 1G shows representative examples of significant distal DHS hits (blue boxes) that also have a significant DHS hit at a TSS of the nearest gene. ChromHMM tracks indicate promoters (red), putative enhancers (yellow), and polycomb repressed regions (gray). FIG. 1H shows a UMAP dimensionality reduction plot showing different ChromHMM chromatin state informed classes of significant (FDR<0.1) DHS hits. Histone modifications as well as several epigenetic modifying proteins were included as input for dimensionality reduction. FIG. 1I shows relative abundances of significantly depleted or enriched gRNAs relative to ChromHMM classes of genome annotations.



FIG. 2A is a volcano plot showing 9,833 significantly depleted or enriched gRNAs. Depleted gRNAs were more abundant and show larger effect size than enriched gRNAs. FIG. 2B shows a comparison of log 2 (fold-change) between the first wgCERES screen and the second sub-library screen. Only gRNAs that overlap both studies are represented (N=50,021 common gRNAs). FIG. 2C shows a distribution of number of significant gRNAs per DHS between the first wgCERES screen and the second sub-library screen. Inset shows combined counts for more than 1 gRNA per DHS. FIG. 2D is screenshot examples of DHS hits (blue boxes) that displayed a smaller number significant gRNA hits (red lines) in the wgCERES discovery screen, and additional significant gRNAs in the more densely tiled distal sub-library validation screen.



FIG. 3A shows individual gRNAs that were tested in K562 cells constitutively expressing dCas9KRAB, and mRNA changes were detected through qRT-PCR. Dark gray and light gray bars indicate validation gRNAs that were depleted or enriched, respectively, in the screen. Black bars indicate non-targeting gRNA control. Bars with diagonal lines indicate cells only expressing dCas9KRAB, without gRNA transduction. Significance was determined by one-way analysis of variance followed by Dunnett's test (n=3 biological replicates, mean±s.e.m.): ****P<0.0001, ***P<0.001, **P<0.01, *P<0.05 versus dCas9KRAB only control. All fold enrichments are relative to the transduction of a control gRNA and normalized to TBP. FIG. 3B shows validation of a gRNA by RNA-seq shows that the largest effect is the nearest gene (GALM) and the “ABC linked gene” indicates GALM as the predicted target gene. FIG. 3C shows validation of a gRNA by RNA-seq that shows the nearest gene (COMMD8) is not differentially expressed, and therefore is not the likely target gene. FIG. 3D shows validation of a gRNA that has no predicted ABC target gene, but displays many differentially expressed genes. Genes with significant differences in gene expression are shown in dark gray (padj≤0.05). Gene ontologies show top 10 enriched categories for each RNA-seq analysis.



FIG. 4A shows individual gRNAs that were delivered to cells in a GFP expressing vector and co-seeded with equal numbers of cells transduced with a non-targeting gRNA in an mCherry expressing vector. Proportion of cells were assayed at day 1 post-seeding, and day 7 or day 14 post-seeding to determine the fold-change in the proportion of GFP vs mCherry positive cells. FIG. 4B shows individual validations for gRNAs that were depleted in the second sub-library screen. FIG. 4C shows individual validations for gRNAs that were enriched in the sub-library screen (n=3 biological replicates, mean±s.e.m.). Gene names represent putative target genes identified for each gRNA hit by ABC method (Fulco et al., Science. 2016, 354, 769-773, which is incorporated herein by reference in its entirety; Fulco et al., Nature Genetics. 2019, 51, 1664-1669, which is incorporated herein by reference in its entirety). Statistics indicate significance by two-way ANOVA with Dunnett's multiple comparisons test relative to non-targeting gRNA at day 7 or day 14: *P<0.05, ***P<0.001, ****P<0.0001.



FIG. 5A shows the characterization of promoter and distal DHS hits relative to chromatin accessibility from 53 diverse cell types. Specificity index of 1 indicates DHS that is unique to K562, while specificity index of 0 represents ubiquitous DHS site across all cell types. All DHS sites identified in K562 cells are shown as a comparison. FIG. 5B is a volcano plot showing 31,193 significant gRNAs either depleted or enriched following 14 population doublings of OCI-AML2 cells. Depleted gRNAs were more abundant and show larger effect size than enriched gRNAs. Dark gray points indicate significant gRNAs (FDR<0.1), mid-gray points indicate non-targeting control gRNAs, and light gray points indicate non-significant gRNAs. FIG. 5C is a comparison of the sub-library screen in K562 cells versus OCI-AML2 cells. Log 2 (fold-change) is plotted for every gRNA in each screen. Black points indicate gRNAs significant in both cell types. Dark gray points indicate gRNAs significant only in the OCI-AML2 cells, while light gray points indicate gRNAs only significant in K562 cells. Midgray points indicate gRNAs not significant in either cell type. Legend shows the number of gRNAs that are significant in either direction. FIG. 5D is a representative example of gRNA hits that are significantly depleted in both K562 and OCI-AML2 cell types. Blue box highlights the region of interest and red gRNAs indicate significant depletion. Note this region is marked by open chromatin in both cell types. FIG. 5E is a representative example of gRNAs that are significantly depleted in K562 cells, but not significant (black gRNAs, note Y-axis difference) in OCI-AML2 cells. Blue boxes highlight regions of interest, and the left region represents a DHS that is uniquely accessible in K562 cells.



FIG. 6A shows the relationship between distance of regulatory element-gene link and significance. Perturbations closer to the transcriptional start site of genes tend to be more significant overall. FIG. 6B shows the number of regulatory elements per individual gene detected. FIG. 6C shows the number of genes affected by individual regulatory elements. FIG. 6D shows DHS hit with seven gene connections listed in FIG. 6C. Blue box represents DHS targeted for silencing, as well as gRNA log 2 (fold-change) depletion through CERES, and chromatin accessibility. The seven target genes are shown as yellow connectors. Inset shows this DHS hit directly overlaps a CTCF binding site (also marked by CTCF ChromHMM chromatin state). FIG. 6E shows genome browser tracks of the LMO2 locus including links of enhancers to genes, and CERES depletion of three downstream regions listed at Target 1, 2, and 3. FIG. 6F is a single cell expression analysis showing significant depletion of LMO2 expression in cells containing gRNAs for Target 1 and Target 2, but not Target 3. Asterisks indicate empirical p-values <0.01. FIG. 6G shows LMO2 mRNA fold-change by qRT-PCR in response to individual gRNA perturbations for LMO2 Target 1, 2, and 3. ****p-value <0.0001 versus control, one-way analysis of variance followed by Dunnett's test (n=3 biological replicates; mean±s.e.m.).



FIG. 7 is an overview of gRNA design for discovery wgCERES screen, validation screen, and single cell scCERES screen. Shown are the number of gRNAs that are used for each screen, the number of DHS sites that are detected as significant, and the ones that were included in subsequent screens.



FIGS. 8A-8B shows significant DHS hits identified by using different gRNA groupings. “UpSet” plots showing the different sets of significant DHSs hits identified by each of the four gRNA grouping analyses shown in FIGS. 1C-1D. Significance was determined by assessing changes in abundance of single gRNAs (gRNA) or changes in averaged abundance of clusters of 2 adjacent gRNAs (Bin2), clusters of 3 adjacent gRNAs (Bin3), or all gRNAs within the entire DHS (DHS). FIG. 8A shows significant DHS hits that were depleted in the wgCERES screen by one or more of the four analyses. FIG. 8B shows significant DHS hits that were enriched in the wgCERES screen. FIG. 8C shows significant DHS hits that contained enriched and depleted gRNAs in the wgCERES screen.



FIG. 9 shows analysis of gRNA attributes in the screen. Various numerical features were collected for individually significant gRNAs and their means were plotted stratified by significance (FDR=0.05, plotted mean±s.e.m.). “True” represents gRNAs that were significantly changed in abundance (depleted or enriched) in the wgCERES screen (FDR<0.05). “False” represents gRNAs that were not significantly changed (FDR≥0.05). Statistics indicate significance by Wilcoxon tests: ***P<0.001.



FIGS. 10A-10B are representative screenshots of significant DHS hits that are distant from a TSS. Light blue boxes represent significant DHS hits from the wgCERES screen. wgCERES plots show enrichment or depletion of gRNAs (significant gRNAs are red, and nonsignificant gRNAs are gray). DNase-seq shows regions of chromatin accessibility. ChromHMM shows predicted chromatin state based on histone modifications, including promoter (red), putative enhancer (yellow), and polycomb repressed regions (gray). FIG. 10A shows three DHSs˜75 kb upstream of the LMO2 oncogene had significant depletion of gRNAs. Note that while the majority of DHS sites around LMO2 show a depletion in the assay, consistent with its well-characterized oncogenic potential, there is one intronic DHS site that shows enrichment, and is possibly indicative of a repressor for LMO2. FIG. 10B shows a representative example of significant DHS sites at the promoter and ˜20 kb upstream of the RPL39 gene. FIG. 10C shows a representative example of significant DHS sites at the promoter, immediately downstream, and ˜25 kb downstream of the CEBPB gene.



FIG. 11 is a UMAP dimensionality reduction with input factor distributions. Each panel shows UMAP dimensionality reduction overlaid with counts per million (CPM) enrichment for different histone modifications, CTCF, POL2, and p300 binding. Darker grays indicate more enriched signal for each ChIP-seq factor. In the last two panels, the composite wgCERES top3 score is overlaid. Darker grays for depleted DHSs indicate more negative values while darker grays for enriched scores indicate more positive values.



FIGS. 12A-12B are representative screenshots of DHS hits in polycomb-repressed regions. Shown are a number of significant DHS hits that are depleted in the wgCERES screen (red bars in wgCERES track). H3K27me3 ChIP-seq and ChromHMM track indicates polycomb repressed regions (gray). FIG. 12A is data from single-cell CERES (scCERES) screen and shows that perturbing the DHS hit highlighted in blue box impacts gene expression for both GPER and ZFAND2A genes. FIG. 12B is data from scCERES that shows that perturbing the DHS hit in blue box significantly impacts gene expression of both ADARB1 and LSS genes.



FIG. 13A shows a dark gray line that represents distances between significant promoter DHS hits (<3 kb from TSS) and the nearest significant DHS hit. To assess if these distances are different than chance, non-significant DHSs were randomly sampled 1,000 times. Each permutation had the same number of non-significant DHS sites as the total number of significant promoter DHSs hits. Light gray line represents distances between significant promoter DHS hits to permuted non-significant DHS. FIG. 13B is the same as FIG. 13A but for significant distal DHS hits (>3 kb from TSSs). Light gray line represents distances between significant distal DHS hits to permuted non-significant DHS. FIG. 13C shows deciles of equal sized bins for FIG. 13A showing box plots of distances for significant DHS hits vs. permuted data. Significant differences were determined by t-test. FIG. 13D is the same as FIG. 13C but for significant distal DHS hits. ****P 0.0001, *P 0.05, ns=not significant. FIG. 13E is a representative example of clustered hits that had 7 significant DHS hits in close proximity around the HDAC7/VDR locus.



FIGS. 14A-14B show a comparison of promoter wgCERES DHS hits to other published essentiality studies. Three previous studies have performed essentiality studies in K562 cells, including one study that performed CRISPRi targeting promoters (Horlbeck et al., eLife. 2016, 5, doi:10.7554/elife.19760, which is incorporated herein by reference in its entirety) and 2 studies using CRISPR/Cas9 targeting exons (Lenoir et al., Nucleic Acids Res. 2018, 46, D776-D780, which is incorporated herein by reference in its entirety; Wang et al., Cell. 2017, 168, 890-903.e15, which is incorporated herein by reference in its entirety). FIG. 14A is a scatter plot of effect sizes for promoters identified by wgCERES (Y-axis) vs. effect size for promoters targeted by CRISPRi (X-axis). Note that there is general correspondence between assays. FIG. 14B is an “UpSet” plot showing overlap of significant promoter/gene hits identified by all 4 studies. Note that in addition to these comparisons, the majority of regions identified and characterized herein were in distal non-promoter regulatory elements that were not identified in previous studies.



FIGS. 15A-15H show a distribution of hits across analyses in K562 distal sub screen. “UpSet” plots showing distribution statistically significant DHSs across each analysis type in the K562 distal sub-library. Distribution of DHSs that were statistically significant in both the K562 validation library and the first wgCERES discovery screen from the (FIG. 15A) gRNA-level, (FIG. 15B) bins of 2 gRNAs, (FIG. 15C) bins of 3 gRNAs, and (FIG. 15D) DHS-level analysis. Distributions of gRNAs present in both the K562 distal sub-library and only found in the first K562 wgCERES (FIG. 15E) gRNA-level analysis, (FIG. 15F) bins of 2 gRNAs, (FIG. 15G) bins of 3 gRNAs, and (FIG. 15H) DHS-level analyses. Targeting DHSs significant only in the grouped analyses from the discovery screen yielded significant DHSs (across multiple analysis types) in the validation screen, demonstrating the utility of these grouped analyses. Also, tiling DHSs more densely with gRNAs yields more DHSs that are significant across multiple analyses.



FIG. 16 is individual gRNA validations on mRNA abundance for predicted gene interactions. Individual gRNAs were tested in K562 cells constitutively expressing dCas9KRAB. mRNA changes were detected through qRT-PCR. Black bars indicate validation gRNAs that were depleted in the screen. Checkered bars indicate gRNAs that were enriched in the screen. Bars with diagonal lines indicate non-targeting gRNA control. Gray bars indicate cells only expressing dCas9KRAB, without gRNA transduction. Statistics indicate significance by one-way analysis of variance followed by Dunnett's test (n=3 biological replicates, mean±s.e.m.): ****P<0.0001, **P<0.01, *P<0.05 versus dCas9KRAB only control. All fold enrichments are relative to the transduction of a control gRNA and normalized to TBP.



FIGS. 17A-17E show validation of DHS hits around SLC4A1 locus with individual gRNA perturbation. For significant DHS hits identified in the wgCERES discovery screen, a subset of individual gRNAs were tested in a separate validation experiment. After transducing a single gRNA into K562 cells that express dCas9KRAB cells were expanded for ˜14 doublings and then harvested for RNA-seq. As a control, K562 cells not expressing dCas9KRAB were transduced with the same gRNAs. FIG. 17A is a screenshot of a region around SLC4A1 that was targeted with 4 individual gRNAs (highlighted with blue boxes). FIG. 17B-17E are volcano plots and gene ontology enrichments for each of the 4 regions targeted, as shown in FIG. 17A. Genes with significant differences in gene expression are shown in dark gray (padj 0.05). Note that the SLC4A1 gene was the most depleted gene for each experiment.



FIGS. 18A-180 show validation of DHS hits around GMPR locus with individual gRNA perturbation. For significant DHS hits identified in wgCERES screen, a subset of individual gRNAs were tested in a separate validation experiment. After transducing a single gRNA into K562 cells that express dCas9KRAB, cells were expanded for ˜14 doublings and then harvested for RNA-seq. As a control, K562 cells not expressing dCas9KRAB were transduced with the same gRNAs. FIG. 18A is a screenshot of a region in the GMPR gene that was targeted with 2 individual gRNAs (highlighted with blue boxes). FIG. 18B-18C are volcano plots and gene ontology enrichments for each of the 4 regions targeted, as shown in FIG. 18A. Genes with significant differences in gene expression are shown in dark gray (padj 0.05). Note that the GMPR gene did not show any significant changes in gene expression. However, a number of histone genes were differentially expressed 8 Mb away in both experiments. FIG. 18D is a zoomed out screenshot of this region (blue highlight=GMPR, orange highlight=histones cluster 8 Mb away).



FIGS. 19A-19I show validation of DHS hits with individual gRNA perturbation. For significant DHS hits identified in wgCERES screen, a subset of individual gRNAs were tested in a separate validation experiment. After transducing a single gRNA into K562 cells that express dCas9KRAB, cells were expanded for ˜14 doublings and then harvested for RNA-seq. As a control, K562 cells not expressing dCas9KRAB were transduced with the same gRNAs. FIGS. 19A-19I show volcano plots and gene ontology enrichments for each region targeted. Genes with significant differences in gene expression are shown in dark gray (padj≤0.05).



FIGS. 20A-20C show a single cell CERES-seq gRNA distribution and analysis schematic. Cells constitutively expressing dCas9KRAB were transduced with a lentiviral library of 3,201 gRNAs targeting 3,051 DNase-I hypersensitive sites and 150 non-targeting gRNAs. 56,882 cells were barcoded for single-cell RNA-seq at 5 days post-transduction. FIG. 20A is a distribution of the number of gRNAs per cell. Blue dashed line indicates the mean number of eight gRNAs per cell. FIG. 20B is a distribution of the number of cells containing each gRNA in the library. The dashed line indicates the mean number of 111 cells containing each individual gRNA. FIG. 20C is a schematic of scCERES analysis pipeline.





DETAILED DESCRIPTION

As detailed herein, thousands of human gene regulatory elements were identified that functionally contribute to cell fitness, using a genome-wide CRISPR-based epigenome editing screen that individually targeted each of the >100,000 putative gene regulatory elements defined by open chromatin sites in human K562 leukemia cells for their role in regulating essential cellular processes. In an initial screen containing more than 1 million gRNAs, 12,000 regulatory elements with evidence of impact on cell fitness were discovered. The properties, distribution, cell-type specificity, and target genes of the identified regulatory elements were further characterized, including evaluating cell-type specificity in a second cancer cell line and identifying target genes of the regulatory elements using CERES perturbations combined with single cell RNA-seq. The identified regulatory elements and target genes confirmed and complemented results from gene-based screens and indicated new pathways and molecular processes that contribute to cell fitness. The comprehensive and quantitative genome-wide map of essential regulatory elements and function detailed herein represents a framework for extensive characterization of noncoding regulatory elements and variants that drive complex cell phenotypes and contribute to human traits, diseases, and disease risk. Further detailed herein are compositions and methods for targeting newly discovered gene regulatory elements affecting cell fitness to treat diseases such as leukemia.


1. DEFINITIONS

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art. In case of conflict, the present document, including definitions, will control. Preferred methods and materials are described below, although methods and materials similar or equivalent to those described herein can be used in practice or testing of the present invention. All publications, patent applications, patents and other references mentioned herein are incorporated by reference in their entirety. The materials, methods, and examples disclosed herein are illustrative only and not intended to be limiting.


The terms “comprise(s),” “include(s),” “having,” “has,” “can,” “contain(s),” and variants thereof, as used herein, are intended to be open-ended transitional phrases, terms, or words that do not preclude the possibility of additional acts or structures. The singular forms “a,” “and,” and “the” include plural references unless the context clearly dictates otherwise. The present disclosure also contemplates other embodiments “comprising,” “consisting of,” and “consisting essentially of,” the embodiments or elements presented herein, whether explicitly set forth or not.


For the recitation of numeric ranges herein, each intervening number there between with the same degree of precision is explicitly contemplated. For example, for the range of 6-9, the numbers 7 and 8 are contemplated in addition to 6 and 9, and for the range 6.0-7.0, the number 6.0, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, and 7.0 are explicitly contemplated.


The term “about” or “approximately” as used herein as applied to one or more values of interest, refers to a value that is similar to a stated reference value, or within an acceptable error range for the particular value as determined by one of ordinary skill in the art, which will depend in part on how the value is measured or determined, such as the limitations of the measurement system. In certain aspects, the term “about” refers to a range of values that fall within 20%, 19%, 18%, 17%, 16%, 15%, 14%, 13%, 12%, 11%, 10%, 9%, 8%, 7%, 6%, 5%, 4%, 3%, 2%, 1%, or less in either direction (greater than or less than) of the stated reference value unless otherwise stated or otherwise evident from the context (except where such number would exceed 100% of a possible value). Alternatively, “about” can mean within 3 or more than 3 standard deviations, per the practice in the art. Alternatively, such as with respect to biological systems or processes, the term “about” can mean within an order of magnitude, preferably within 5-fold, and more preferably within 2-fold, of a value.


“Adeno-associated virus” or “AAV” as used interchangeably herein refers to a small virus belonging to the genus Dependovirus of the Parvoviridae family that infects humans and some other primate species. AAV is not currently known to cause disease and consequently the virus causes a very mild immune response.


“Amino acid” as used herein refers to naturally occurring and non-natural synthetic amino acids, as well as amino acid analogs and amino acid mimetics that function in a manner similar to the naturally occurring amino acids. Naturally occurring amino acids are those encoded by the genetic code. Amino acids can be referred to herein by either their commonly known three-letter symbols or by the one-letter symbols recommended by the IUPAC-IUB Biochemical Nomenclature Commission. Amino acids include the side chain and polypeptide backbone portions.


“Autologous” refers to any material derived from a subject and re-introduced to the same subject.


“Binding region” as used herein refers to the region within a target region that is recognized and bound by the CRISPR/Cas-based gene editing system.


The terms “cancer”, “cancer cell”, “tumor”, and “tumor cell” are used interchangeably herein and refer generally to a group of diseases characterized by uncontrolled, abnormal growth of cells (e.g., a neoplasioa). In some forms of cancer, the cancer cells can spread locally or through the bloodstream and lymphatic system to other parts of the body (“metastatic cancer”). “Cancer” refers to all types of cancer or neoplasm or malignant tumors found in animals, including carcinoma, adenoma, melanoma, sarcoma, lymphoma, leukemia, blastoma, glioma, astrocytoma, mesothelioma, or a germ cell tumor. Cancer may include cancer of, for example, the colon, rectum, stomach, bladder, cervix, uterus, skin, epithelium, muscle, kidney, liver, lymph, bone, blood, ovary, prostate, lung, brain, head and neck, and/or breast. Cancer may include medullablastoma, non-small cell lung cancer, and/or meothioma. In embodiments detailed herein, the cancer includes leukemia. The term “leukemia” refers to broadly progressive, malignant diseases of the hematopoietic organs/systems and is generally characterized by a distorted proliferation and development of leukocytes and their precursors in the blood and bone marrow. Leukemia diseases include, for example, acute nonlymphocytic leukemia, chronic lymphocytic leukemia, acute granulocytic leukemia, chronic granulocytic leukemia, acute promyelocytic leukemia, adult T-cell leukemia, aleukemic leukemia, a leukocythemic leukemia, basophilic leukemia, blast cell leukemia, bovine leukemia, chronic myelocytic leukemia, leukemia cutis, embryonal leukemia, eosinophilic leukemia, Gross' leukemia, Rieder cell leukemia, Schilling's leukemia, stem cell leukemia, subleukemic leukemia, undifferentiated cell leukemia, hairy-cell leukemia, hemoblastic leukemia, hemocytoblastic leukemia, histiocytic leukemia, stem cell leukemia, acute monocytic leukemia, leukopenic leukemia, lymphatic leukemia, lymphoblastic leukemia, lymphocytic leukemia, lymphogenous leukemia, lymphoid leukemia, lymphosarcoma cell leukemia, mast cell leukemia, megakaryocytic leukemia, micromyeloblastic leukemia, monocytic leukemia, myeloblastic leukemia, myelocytic leukemia, myeloid leukemia, myeloid granulocytic leukemia, myelomonocytic leukemia, Naegeli leukemia, plasma cell leukemia, plasmacytic leukemia, and promyelocytic leukemia. In some embodiments, the leukemia is chronic myeloid leukemia (CML). In some embodiments, the leukemia is acute myeloid leukemia (AML).


“Clustered Regularly Interspaced Short Palindromic Repeats” and “CRISPRs”, as used interchangeably herein, refers to loci containing multiple short direct repeats that are found in the genomes of approximately 40% of sequenced bacteria and 90% of sequenced archaea.


“Coding sequence” or “encoding nucleic acid” as used herein means the nucleic acids (RNA or DNA molecule) that comprise a nucleotide sequence which encodes a protein. The coding sequence can further include initiation and termination signals operably linked to regulatory elements including a promoter and polyadenylation signal capable of directing expression in the cells of an individual or mammal to which the nucleic acid is administered. The regulatory elements may include, for example, a promoter, an enhancer, an initiation codon, a stop codon, or a polyadenylation signal. The coding sequence may be codon optimized.


“Complement” or “complementary” as used herein means a nucleic acid can mean Watson-Crick (e.g., A-T/U and C-G) or Hoogsteen base pairing between nucleotides or nucleotide analogs of nucleic acid molecules. “Complementarity” refers to a property shared between two nucleic acid sequences, such that when they are aligned antiparallel to each other, the nucleotide bases at each position will be complementary.


The terms “control,” “reference level,” and “reference” are used herein interchangeably. The reference level may be a predetermined value or range, which is employed as a benchmark against which to assess the measured result. “Control group” as used herein refers to a group of control subjects. The predetermined level may be a cutoff value from a control group. The predetermined level may be an average from a control group. Cutoff values (or predetermined cutoff values) may be determined by Adaptive Index Model (AIM) methodology. Cutoff values (or predetermined cutoff values) may be determined by a receiver operating curve (ROC) analysis from biological samples of the patient group. ROC analysis, as generally known in the biological arts, is a determination of the ability of a test to discriminate one condition from another, e.g., to determine the performance of each marker in identifying a patient having CRC. A description of ROC analysis is provided in P. J. Heagerty et al. (Biometrics 2000, 56, 337-44), the disclosure of which is hereby incorporated by reference in its entirety. Alternatively, cutoff values may be determined by a quartile analysis of biological samples of a patient group. For example, a cutoff value may be determined by selecting a value that corresponds to any value in the 25th-75th percentile range, preferably a value that corresponds to the 25th percentile, the 50th percentile or the 75th percentile, and more preferably the 75th percentile. Such statistical analyses may be performed using any method known in the art and can be implemented through any number of commercially available software packages (e.g., from Analyse-it Software Ltd., Leeds, UK; StataCorp LP, College Station, TX; SAS Institute Inc., Cary, NC.). The healthy or normal levels or ranges for a target or for a protein activity may be defined in accordance with standard practice. A control may be a subject or cell without a composition as detailed herein. A control may be a subject, or a sample therefrom, whose disease state is known. The subject, or sample therefrom, may be healthy, diseased, diseased prior to treatment, diseased during treatment, or diseased after treatment, or a combination thereof.


“Correcting”, “gene editing,” and “restoring” as used herein refers to changing a mutant gene that encodes a dysfunctional protein or truncated protein or no protein at all, such that a full-length functional or partially full-length functional protein expression is obtained. Correcting or restoring a mutant gene may include replacing the region of the gene that has the mutation or replacing the entire mutant gene with a copy of the gene that does not have the mutation with a repair mechanism such as homology-directed repair (HDR). Correcting or restoring a mutant gene may also include repairing a frameshift mutation that causes a premature stop codon, an aberrant splice acceptor site or an aberrant splice donor site, by generating a double stranded break in the gene that is then repaired using non-homologous end joining (NHEJ). NHEJ may add or delete at least one base pair during repair which may restore the proper reading frame and eliminate the premature stop codon. Correcting or restoring a mutant gene may also include disrupting an aberrant splice acceptor site or splice donor sequence. Correcting or restoring a mutant gene may also include deleting a non-essential gene segment by the simultaneous action of two nucleases on the same DNA strand in order to restore the proper reading frame by removing the DNA between the two nuclease target sites and repairing the DNA break by NHEJ.


“Donor DNA”, “donor template,” and “repair template” as used interchangeably herein refers to a double-stranded DNA fragment or molecule that includes at least a portion of the gene of interest. The donor DNA may encode a full-functional protein or a partially functional protein.


“Enhancer” as used herein refers to non-coding DNA sequences containing multiple activator and repressor binding sites. Enhancers range from 200 bp to 1 kb in length and may be either proximal, 5′ upstream to the promoter or within the first intron of the regulated gene, or distal, in introns of neighboring genes or intergenic regions far away from the locus. Through DNA looping, active enhancers contact the promoter dependently of the core DNA binding motif promoter specificity. 4 to 5 enhancers may interact with a promoter. Similarly, enhancers may regulate more than one gene without linkage restriction and may “skip” neighboring genes to regulate more distant ones. Transcriptional regulation may involve elements located in a chromosome different to one where the promoter resides. Proximal enhancers or promoters of neighboring genes may serve as platforms to recruit more distal elements.


“Frameshift” or “frameshift mutation” as used interchangeably herein refers to a type of gene mutation wherein the addition or deletion of one or more nucleotides causes a shift in the reading frame of the codons in the mRNA. The shift in reading frame may lead to the alteration in the amino acid sequence at protein translation, such as a missense mutation or a premature stop codon.


“Functional” and “full-functional” as used herein describes protein that has biological activity. A “functional gene” refers to a gene transcribed to mRNA, which is translated to a functional protein.


“Fusion protein” as used herein refers to a chimeric protein created through the joining of two or more genes that originally coded for separate proteins. The translation of the fusion gene results in a single polypeptide with functional properties derived from each of the original proteins.


“Genetic construct” as used herein refers to the DNA or RNA molecules that comprise a polynucleotide that encodes a protein. The coding sequence includes initiation and termination signals operably linked to regulatory elements including a promoter and polyadenylation signal capable of directing expression in the cells of the individual to whom the nucleic acid molecule is administered. As used herein, the term “expressible form” refers to gene constructs that contain the necessary regulatory elements operable linked to a coding sequence that encodes a protein such that when present in the cell of the individual, the coding sequence will be expressed. The regulatory elements may include, for example, a promoter, an enhancer, an initiation codon, a stop codon, or a polyadenylation signal.


“Genome editing” or “gene editing” as used herein refers to changing the DNA sequence of a gene. Genome editing may include correcting or restoring a mutant gene or adding additional mutations. Genome editing may include knocking out a gene, such as a mutant gene or a normal gene. Genome editing may be used to treat disease or, for example, enhance muscle repair, by changing the gene of interest. In some embodiments, the compositions and methods detailed herein are for use in somatic cells and not germ line cells.


The term “heterologous” as used herein refers to nucleic acid comprising two or more subsequences that are not found in the same relationship to each other in nature. For instance, a nucleic acid that is recombinantly produced typically has two or more sequences from unrelated genes synthetically arranged to make a new functional nucleic acid, for example, a promoter from one source and a coding region from another source. The two nucleic acids are thus heterologous to each other in this context. When added to a cell, the recombinant nucleic acids would also be heterologous to the endogenous genes of the cell. Thus, in a chromosome, a heterologous nucleic acid would include a non-native (non-naturally occurring) nucleic acid that has integrated into the chromosome, or a non-native (non-naturally occurring) extrachromosomal nucleic acid. Similarly, a heterologous protein indicates that the protein comprises two or more subsequences that are not found in the same relationship to each other in nature (for example, a “fusion protein,” where the two subsequences are encoded by a single nucleic acid sequence).


“Homology-directed repair” or “HDR” as used interchangeably herein refers to a mechanism in cells to repair double strand DNA lesions when a homologous piece of DNA is present in the nucleus, mostly in G2 and S phase of the cell cycle. HDR uses a donor DNA template to guide repair and may be used to create specific sequence changes to the genome, including the targeted addition of whole genes. If a donor template is provided along with the CRISPR/Cas9-based gene editing system, then the cellular machinery will repair the break by homologous recombination, which is enhanced several orders of magnitude in the presence of DNA cleavage. When the homologous DNA piece is absent, non-homologous end joining may take place instead.


“Identical” or “identity” as used herein in the context of two or more polynucleotide or polypeptide sequences means that the sequences have a specified percentage of residues that are the same over a specified region. The percentage may be calculated by optimally aligning the two sequences, comparing the two sequences over the specified region, determining the number of positions at which the identical residue occurs in both sequences to yield the number of matched positions, dividing the number of matched positions by the total number of positions in the specified region, and multiplying the result by 100 to yield the percentage of sequence identity. In cases where the two sequences are of different lengths or the alignment produces one or more staggered ends and the specified region of comparison includes only a single sequence, the residues of single sequence are included in the denominator but not the numerator of the calculation. When comparing DNA and RNA, thymine (T) and uracil (U) may be considered equivalent. Identity may be performed manually or by using a computer sequence algorithm such as BLAST or BLAST 2.0.


“Mutant gene” or “mutated gene” as used interchangeably herein refers to a gene that has undergone a detectable mutation. A mutant gene has undergone a change, such as the loss, gain, or exchange of genetic material, which affects the normal transmission and expression of the gene. A “disrupted gene” as used herein refers to a mutant gene that has a mutation that causes a premature stop codon. The disrupted gene product is truncated relative to a full-length undisrupted gene product.


“Non-homologous end joining (NHEJ) pathway” as used herein refers to a pathway that repairs double-strand breaks in DNA by directly ligating the break ends without the need for a homologous template. The template-independent re-ligation of DNA ends by NHEJ is a stochastic, error-prone repair process that introduces random micro-insertions and micro-deletions (indels) at the DNA breakpoint. This method may be used to intentionally disrupt, delete, or alter the reading frame of targeted gene sequences. NHEJ typically uses short homologous DNA sequences called microhomologies to guide repair. These microhomologies are often present in single-stranded overhangs on the end of double-strand breaks. When the overhangs are perfectly compatible, NHEJ usually repairs the break accurately, yet imprecise repair leading to loss of nucleotides may also occur, but is much more common when the overhangs are not compatible. “Nuclease mediated NHEJ” as used herein refers to NHEJ that is initiated after a nuclease cuts double stranded DNA.


“Normal gene” as used herein refers to a gene that has not undergone a change, such as a loss, gain, or exchange of genetic material. The normal gene undergoes normal gene transmission and gene expression. For example, a normal gene may be a wild-type gene.


“Nucleic acid” or “oligonucleotide” or “polynucleotide” as used herein means at least two nucleotides covalently linked together. The depiction of a single strand also defines the sequence of the complementary strand. Thus, a polynucleotide also encompasses the complementary strand of a depicted single strand. Many variants of a polynucleotide may be used for the same purpose as a given polynucleotide. Thus, a polynucleotide also encompasses substantially identical polynucleotides and complements thereof. A single strand provides a probe that may hybridize to a target sequence under stringent hybridization conditions. Thus, a polynucleotide also encompasses a probe that hybridizes under stringent hybridization conditions. Polynucleotides may be single stranded or double stranded or may contain portions of both double stranded and single stranded sequence. The polynucleotide can be nucleic acid, natural or synthetic, DNA, genomic DNA, cDNA, RNA, or a hybrid, where the polynucleotide can contain combinations of deoxyribo- and ribo-nucleotides, and combinations of bases including, for example, uracil, adenine, thymine, cytosine, guanine, inosine, xanthine hypoxanthine, isocytosine, and isoguanine. Polynucleotides can be obtained by chemical synthesis methods or by recombinant methods.


“Open reading frame” refers to a stretch of codons that begins with a start codon and ends at a stop codon. In eukaryotic genes with multiple exons, introns are removed, and exons are then joined together after transcription to yield the final mRNA for protein translation. An open reading frame may be a continuous stretch of codons. In some embodiments, the open reading frame only applies to spliced mRNAs, not genomic DNA, for expression of a protein.


“Operably linked” as used herein means that expression of a gene is under the control of a promoter with which it is spatially connected. A promoter may be positioned 5′ (upstream) or 3′ (downstream) of a gene under its control. The distance between the promoter and a gene may be approximately the same as the distance between that promoter and the gene it controls in the gene from which the promoter is derived. As is known in the art, variation in this distance may be accommodated without loss of promoter function. Nucleic acid or amino acid sequences are “operably linked” (or “operatively linked”) when placed into a functional relationship with one another. For instance, a promoter or enhancer is operably linked to a coding sequence if it regulates, or contributes to the modulation of, the transcription of the coding sequence. Operably linked DNA sequences are typically contiguous, and operably linked amino acid sequences are typically contiguous and in the same reading frame. However, since enhancers generally function when separated from the promoter by up to several kilobases or more and intronic sequences may be of variable lengths, some polynucleotide elements may be operably linked but not contiguous. Similarly, certain amino acid sequences that are non-contiguous in a primary polypeptide sequence may nonetheless be operably linked due to, for example folding of a polypeptide chain. With respect to fusion polypeptides, the terms “operatively linked” and “operably linked” can refer to the fact that each of the components performs the same function in linkage to the other component as it would if it were not so linked.


“Partially-functional” as used herein describes a protein that is encoded by a mutant gene and has less biological activity than a functional protein but more than a non-functional protein.


A “peptide” or “polypeptide” is a linked sequence of two or more amino acids linked by peptide bonds. The polypeptide can be natural, synthetic, or a modification or combination of natural and synthetic. Peptides and polypeptides include proteins such as binding proteins, receptors, and antibodies. The terms “polypeptide”, “protein,” and “peptide” are used interchangeably herein. “Primary structure” refers to the amino acid sequence of a particular peptide. “Secondary structure” refers to locally ordered, three dimensional structures within a polypeptide. These structures are commonly known as domains, for example, enzymatic domains, extracellular domains, transmembrane domains, pore domains, and cytoplasmic tail domains. “Domains” are portions of a polypeptide that form a compact unit of the polypeptide and are typically 15 to 350 amino acids long. Exemplary domains include domains with enzymatic activity or ligand binding activity. Typical domains are made up of sections of lesser organization such as stretches of beta-sheet and alpha-helices. “Tertiary structure” refers to the complete three-dimensional structure of a polypeptide monomer. “Quaternary structure” refers to the three-dimensional structure formed by the noncovalent association of independent tertiary units. A “motif” is a portion of a polypeptide sequence and includes at least two amino acids. A motif may be 2 to 20, 2 to 15, or 2 to 10 amino acids in length. In some embodiments, a motif includes 3, 4, 5, 6, or 7 sequential amino acids. A domain may be comprised of a series of the same type of motif.


“Premature stop codon” or “out-of-frame stop codon” as used interchangeably herein refers to nonsense mutation in a sequence of DNA, which results in a stop codon at location not normally found in the wild-type gene. A premature stop codon may cause a protein to be truncated or shorter compared to the full-length version of the protein.


“Promoter” as used herein means a synthetic or naturally derived molecule which is capable of conferring, activating or enhancing expression of a nucleic acid in a cell. A promoter may comprise one or more specific transcriptional regulatory sequences to further enhance expression and/or to alter the spatial expression and/or temporal expression of same. A promoter may also comprise distal enhancer or repressor elements, which may be located as much as several thousand base pairs from the start site of transcription. A promoter may be derived from sources including viral, bacterial, fungal, plants, insects, and animals. A promoter may regulate the expression of a gene component constitutively, or differentially with respect to cell, the tissue or organ in which expression occurs or, with respect to the developmental stage at which expression occurs, or in response to external stimuli such as physiological stresses, pathogens, metal ions, or inducing agents. Representative examples of promoters include the bacteriophage T7 promoter, bacteriophage T3 promoter, SP6 promoter, lac operator-promoter, tac promoter, SV40 late promoter, SV40 early promoter, RSV-LTR promoter, CMV IE promoter, SV40 early promoter or SV40 late promoter, human U6 (hU6) promoter, and CMV IE promoter. Promoters that target muscle-specific stem cells may include the CK8 promoter, the Spc5-12 promoter, and the MHCK7 promoter.


The term “recombinant” when used with reference to, for example, a cell, nucleic acid, protein, or vector, indicates that the cell, nucleic acid, protein, or vector, has been modified by the introduction of a heterologous nucleic acid or protein or the alteration of a native nucleic acid or protein, or that the cell is derived from a cell so modified. Thus, for example, recombinant cells express genes that are not found within the native (naturally occurring) form of the cell or express a second copy of a native gene that is otherwise normally or abnormally expressed, under expressed, or not expressed at all.


“Sample” or “test sample” as used herein can mean any sample in which the presence and/or level of a target is to be detected or determined or any sample comprising a DNA targeting or gene editing system or component thereof as detailed herein. Samples may include liquids, solutions, emulsions, or suspensions. Samples may include a medical sample. Samples may include any biological fluid or tissue, such as blood, whole blood, fractions of blood such as plasma and serum, muscle, interstitial fluid, sweat, saliva, urine, tears, synovial fluid, bone marrow, cerebrospinal fluid, nasal secretions, sputum, amniotic fluid, bronchoalveolar lavage fluid, gastric lavage, emesis, fecal matter, lung tissue, peripheral blood mononuclear cells, total white blood cells, lymph node cells, spleen cells, tonsil cells, cancer cells, tumor cells, bile, digestive fluid, skin, or combinations thereof. In some embodiments, the sample comprises an aliquot. In other embodiments, the sample comprises a biological fluid. Samples can be obtained by any means known in the art. The sample can be used directly as obtained from a patient or can be pre-treated, such as by filtration, distillation, extraction, concentration, centrifugation, inactivation of interfering components, addition of reagents, and the like, to modify the character of the sample in some manner as discussed herein or otherwise as is known in the art.


“Subject” and “patient” as used herein interchangeably refers to any vertebrate, including, but not limited to, a mammal that wants or is in need of the herein described compositions or methods. The subject may be a human or a non-human. The subject may be a vertebrate. The subject may be a mammal. The mammal may be a primate or a non-primate. The mammal can be a non-primate such as, for example, cow, pig, camel, llama, hedgehog, anteater, platypus, elephant, alpaca, horse, goat, rabbit, sheep, hamster, guinea pig, cat, dog, rat, and mouse. The mammal can be a primate such as a human. The mammal can be a non-human primate such as, for example, monkey, cynomolgous monkey, rhesus monkey, chimpanzee, gorilla, orangutan, and gibbon. The subject may be of any age or stage of development, such as, for example, an adult, an adolescent, a child, such as age 0-2, 2-4, 2-6, or 6-12 years, or an infant, such as age 0-1 years. The subject may be male. The subject may be female. In some embodiments, the subject has a specific genetic marker. The subject may be undergoing other forms of treatment.


“Substantially identical” can mean that a first and second amino acid or polynucleotide sequence are at least 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 96%, 97%, 98%, or 99% over a region of 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100 amino acids or nucleotides, respectively.


“Target gene” as used herein refers to any nucleotide sequence encoding a known or putative gene product. The target gene may be a mutated gene involved in a genetic disease. The target gene may encode a known or putative gene product that is intended to be corrected or for which its expression is intended to be modulated.


“Target region” as used herein refers to the region of the target gene to which the CRISPR/Cas9-based gene editing or targeting system is designed to bind.


“Transcriptional regulatory elements” or “regulatory elements” refers to a genetic element which can control the expression of nucleic acid sequences, such as activate, enhancer, or decrease expression, or alter the spatial and/or temporal expression of a nucleic acid sequence. Examples of regulatory elements include, for example, promoters, enhancers, splicing signals, polyadenylation signals, and termination signals. A regulatory element can be “endogenous,” “exogenous,” or “heterologous” with respect to the gene to which it is operably linked. An “endogenous” regulatory element is one which is naturally linked with a given gene in the genome. An “exogenous” or “heterologous” regulatory element is one which is not normally linked with a given gene but is placed in operable linkage with a gene by genetic manipulation.


“Treatment” or “treating” or “therapy” when referring to protection of a subject from a disease, means suppressing, repressing, reversing, alleviating, ameliorating, or inhibiting the progress of disease, or completely eliminating a disease. A treatment may be either performed in an acute or chronic way. The term also refers to reducing the severity of a disease or symptoms associated with such disease prior to affliction with the disease. Treatment may result in a reduction in the incidence, frequency, severity, and/or duration of symptoms of the disease. Preventing the disease involves administering a composition of the present invention to a subject prior to onset of the disease. Suppressing the disease involves administering a composition of the present invention to a subject after induction of the disease but before its clinical appearance. Repressing or ameliorating the disease involves administering a composition of the present invention to a subject after clinical appearance of the disease.


As used herein, the term “gene therapy” refers to a method of treating a patient wherein polypeptides or nucleic acid sequences are transferred into cells of a patient such that activity and/or the expression of a particular gene is modulated. In certain embodiments, the expression of the gene is suppressed. In certain embodiments, the expression of the gene is enhanced. In certain embodiments, the temporal or spatial pattern of the expression of the gene is modulated.


“Variant” used herein with respect to a polynucleotide means (i) a portion or fragment of a referenced nucleotide sequence; (ii) the complement of a referenced nucleotide sequence or portion thereof; (iii) a nucleic acid that is substantially identical to a referenced nucleic acid or the complement thereof; or (iv) a nucleic acid that hybridizes under stringent conditions to the referenced nucleic acid, complement thereof, or a sequences substantially identical thereto.


“Variant” with respect to a peptide or polypeptide that differs in amino acid sequence by the insertion, deletion, or conservative substitution of amino acids, but retain at least one biological activity. Variant may also mean a protein with an amino acid sequence that is substantially identical to a referenced protein with an amino acid sequence that retains at least one biological activity. Representative examples of “biological activity” include the ability to be bound by a specific antibody or polypeptide or to promote an immune response. Variant can mean a functional fragment thereof. Variant can also mean multiple copies of a polypeptide. The multiple copies can be in tandem or separated by a linker. A conservative substitution of an amino acid, for example, replacing an amino acid with a different amino acid of similar properties (for example, hydrophilicity, degree and distribution of charged regions) is recognized in the art as typically involving a minor change. These minor changes may be identified, in part, by considering the hydropathic index of amino acids, as understood in the art (Kyte et al., J. Mol. Biol. 1982, 157, 105-132, which is incorporated herein by reference in its entirety). The hydropathic index of an amino acid is based on a consideration of its hydrophobicity and charge. It is known in the art that amino acids of similar hydropathic indexes may be substituted and still retain protein function. In one aspect, amino acids having hydropathic indexes of ±2 are substituted. The hydrophilicity of amino acids may also be used to reveal substitutions that would result in proteins retaining biological function. A consideration of the hydrophilicity of amino acids in the context of a peptide permits calculation of the greatest local average hydrophilicity of that peptide. Substitutions may be performed with amino acids having hydrophilicity values within ±2 of each other. Both the hydrophobicity index and the hydrophilicity value of amino acids are influenced by the particular side chain of that amino acid. Consistent with that observation, amino acid substitutions that are compatible with biological function are understood to depend on the relative similarity of the amino acids, and particularly the side chains of those amino acids, as revealed by the hydrophobicity, hydrophilicity, charge, size, and other properties.


“Vector” as used herein means a nucleic acid sequence containing an origin of replication. A vector may be capable of directing the delivery or transfer of a polynucleotide sequence to target cells, where it can be replicated or expressed. A vector may contain an origin of replication, one or more regulatory elements, and/or one or more coding sequences. A vector may be a viral vector, bacteriophage, bacterial artificial chromosome, plasmid, cosmid, or yeast artificial chromosome. A vector may be a DNA or RNA vector. A vector may be a self-replicating extrachromosomal vector. Viral vectors include, but are not limited to, adenovirus vector, adeno-associated virus (AAV) vector, retrovirus vector, or lentivirus vector. A vector may be an adeno-associated virus (AAV) vector. The vector may encode a Cas9 protein and at least one gRNA molecule.


Unless otherwise defined herein, scientific and technical terms used in connection with the present disclosure shall have the meanings that are commonly understood by those of ordinary skill in the art. For example, any nomenclatures used in connection with, and techniques of, cell and tissue culture, molecular biology, immunology, microbiology, genetics, and protein and nucleic acid chemistry and hybridization described herein are those that are well known and commonly used in the art. The meaning and scope of the terms should be clear; in the event however of any latent ambiguity, definitions provided herein take precedent over any dictionary or extrinsic definition. Further, unless otherwise required by context, singular terms shall include pluralities and plural terms shall include the singular.


2. AGENTS TO MODIFY CELLULAR FITNESS

The compositions and methods detailed herein may be used, for example, to modify or modulate cellular fitness and/or treat disease. Modifying or modulating may include increasing or decreasing, for example. In some embodiments, the compositions and methods comprise an agent that modifies or modulates cellular fitness. The agent may comprise, for example, a polynucleotide, a polypeptide, a small molecule, a lipid, a carbohydrate, or a combination thereof. In some embodiments, the agent comprises a protein. In some embodiments, the agent comprises an antibody. In some embodiments, the agent comprises siRNA. In some embodiments, the agent comprises a DNA targeting composition as detailed herein or at least one component thereof.


The agent, or the composition or the method comprising the agent, may target a gene or a regulatory element thereof. Regulatory elements include, for example, promoters and enhancers. Regulatory elements may be within 1000 base pairs of the transcription start site. Regulatory elements may be within 600 base pairs of the transcription start site. The agent, or the composition or the method comprising the agent, may modify the expression of a gene. For example, the agent, or the composition or the method comprising the agent, may reduce, inhibit, increase, or enhance the expression of a gene. The agent, or the composition or the method comprising the agent, may directly or indirectly modulate the activity of the gene's protein product. For example, the agent, or the composition or the method comprising the agent, may increase or decrease the binding or enzymatic activity of the gene's protein product, inhibit the binding of the gene's protein product to another molecule or ligand, increase the binding of the gene's protein product to another molecule or ligand, increase or decrease the degradation of the gene's protein product, or a combination thereof. The gene, or a regulatory element thereof, or a region thereof, may be as listed in any one of TABLES 18A, 18B, 19A, and/or 19B. The gene, or a regulatory element thereof, or a region thereof, may be as listed in any one of TABLES S1-S17. TABLES S1-S17 are as in Klann et al. 2021, “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety, and which is referred to herein as “Klann et al.” TABLE S1 of Klann et al. is incorporated herein by reference in its entirety. TABLE S2 of Klann et al. is incorporated herein by reference in its entirety. TABLE S3 of Klann et al. is incorporated herein by reference in its entirety. TABLE S4 of Klann et al. is incorporated herein by reference in its entirety. TABLE S5 of Klann et al. is incorporated herein by reference in its entirety. TABLE S6 of Klann et al. is incorporated herein by reference in its entirety. TABLE S7 of Klann et al. is incorporated herein by reference in its entirety. TABLE S8 of Klann et al. is incorporated herein by reference in its entirety. TABLE S9 of Klann et al. is incorporated herein by reference in its entirety. TABLE S10 of Klann et al. is incorporated herein by reference in its entirety. TABLE S11 of Klann et al. is incorporated herein by reference in its entirety. TABLE S12 of Klann et al. is incorporated herein by reference in its entirety. TABLE S13 of Klann et al. is incorporated herein by reference in its entirety. TABLE S14 of Klann et al. is incorporated herein by reference in its entirety. TABLE S15 of Klann et al. is incorporated herein by reference in its entirety. TABLE S16 of Klann et al. is incorporated herein by reference in its entirety. TABLE S17 of Klann et al. is incorporated herein by reference in its entirety.


3. DNA TARGETING SYSTEMS

A “DNA Targeting System” as used herein is a system capable of specifically targeting a particular region of DNA and modulating gene expression by binding to that region. Non-limiting examples of these systems are CRISPR-Cas-based systems, zinc finger (ZF)-based systems, and/or transcription activator-like effector (TALE)-based systems. The DNA Targeting System may be a nuclease system that acts through mutating or editing the target region (such as by insertion, deletion or substitution) or it may be a system that delivers a functional second polypeptide domain, such as an activator or repressor, to the target region.


Each of these systems comprises a DNA-binding portion or domain, such as a guide RNA, a ZF, or a TALE, that specifically recognizes and binds to a particular target region of a target DNA. The DNA-binding portion (for example, Cas protein, ZF, or TALE) can be linked to a second protein domain, such as a polypeptide with transcription activation activity, transcription repression activity, transcription release factor activity, histone modification activity, nuclease activity, nucleic acid association activity, methylase activity, demethylase activity, acetylation activity, or deacetylation activity, to form a fusion protein. Exemplary second polypeptide domains are detailed further below (see “Cas Fusion Protein”). For example, the DNA-binding portion can be linked to an activator and thus guide the activator to a specific target region of the target DNA. Similarly, the DNA-binding portion can be linked to a repressor and thus guide the repressor to a specific target region of the target DNA.


In some embodiments, the DNA-binding portion comprises a Cas protein, such as a Cas9 protein. Some CRISPR-Cas-based systems can operate to activate or repress expression using the Cas protein alone, not linked to an activator or repressor. For example, a nuclease-null Cas9 can act as a repressor on its own, or a nuclease-active Cas9 can act as an activator when paired with an inactive (dead) guide RNA. In addition, RNA or DNA that hybridizes to a particular target region of the target DNA can be directly linked (covalently or non-covalently) to an activator or repressor. Some CRISPR-Cas-based systems can operate to activate or repress expression using the Cas protein linked to a second protein domain, such as, for example, an activator or repressor.


4. CRISPR/CAS-BASED GENE EDITING SYSTEM

Provided herein are CRISPR/Cas9-based gene editing systems. The CRISPR/Cas-based gene editing system may be used to modulate cellular fitness. The CRISPR/Cas-based gene editing system may include a Cas protein or a fusion protein, and at least one gRNA, and may also be referred to as a “CRISPR-Cas system.”


“Clustered Regularly Interspaced Short Palindromic Repeats” and “CRISPRs”, as used interchangeably herein, refers to loci containing multiple short direct repeats that are found in the genomes of approximately 40% of sequenced bacteria and 90% of sequenced archaea. The CRISPR system is a microbial nuclease system involved in defense against invading phages and plasmids that provides a form of acquired immunity. The CRISPR loci in microbial hosts contain a combination of CRISPR-associated (Cas) genes as well as non-coding RNA elements capable of programming the specificity of the CRISPR-mediated nucleic acid cleavage. Short segments of foreign DNA, called spacers, are incorporated into the genome between CRISPR repeats, and serve as a “memory” of past exposures. Cas proteins include, for example, Cas12a, Cas9, and Cascade proteins. Cas12a may also be referred to as “Cpf1.” Cas12a causes a staggered cut in double stranded DNA, while Cas9 produces a blunt cut. In some embodiments, the Cas protein comprises Cas12a. In some embodiments, the Cas protein comprises Cas9. Cas9 forms a complex with the 3′ end of the sgRNA (which may be referred interchangeably herein as “gRNA”), and the protein-RNA pair recognizes its genomic target by complementary base pairing between the 5′ end of the gRNA sequence and a predefined 20 bp DNA sequence, known as the protospacer. This complex is directed to homologous loci of pathogen DNA via regions encoded within the crRNA, i.e., the protospacers, and protospacer-adjacent motifs (PAMs) within the pathogen genome. The non-coding CRISPR array is transcribed and cleaved within direct repeats into short crRNAs containing individual spacer sequences, which direct Cas nucleases to the target site (protospacer). By simply exchanging the 20 bp recognition sequence of the expressed gRNA, the Cas9 nuclease can be directed to new genomic targets. CRISPR spacers are used to recognize and silence exogenous genetic elements in a manner analogous to RNAi in eukaryotic organisms.


Three classes of CRISPR systems (Types I, II, and III effector systems) are known. The Type II effector system carries out targeted DNA double-strand break in four sequential steps, using a single effector enzyme, Cas9, to cleave dsDNA. Compared to the Type I and Type III effector systems, which require multiple distinct effectors acting as a complex, the Type II effector system may function in alternative contexts such as eukaryotic cells. The Type II effector system consists of a long pre-crRNA, which is transcribed from the spacer-containing CRISPR locus, the Cas9 protein, and a tracrRNA, which is involved in pre-crRNA processing. The tracrRNAs hybridize to the repeat regions separating the spacers of the pre-crRNA, thus initiating dsRNA cleavage by endogenous RNase III. This cleavage is followed by a second cleavage event within each spacer by Cas9, producing mature crRNAs that remain associated with the tracrRNA and Cas9, forming a Cas9:crRNA-tracrRNA complex. Cas12a systems include crRNA for successful targeting, whereas Cas9 systems include both crRNA and tracrRNA.


The Cas9:crRNA-tracrRNA complex unwinds the DNA duplex and searches for sequences matching the crRNA to cleave. Target recognition occurs upon detection of complementarity between a “protospacer” sequence in the target DNA and the remaining spacer sequence in the crRNA. Cas9 mediates cleavage of target DNA if a correct protospacer-adjacent motif (PAM) is also present at the 3′ end of the protospacer. For protospacer targeting, the sequence must be immediately followed by the protospacer-adjacent motif (PAM), a short sequence recognized by the Cas9 nuclease that is required for DNA cleavage. Different Cas and Cas Type II systems have differing PAM requirements. For example, Cas12a may function with PAM sequences rich in thymine “T.”


An engineered form of the Type II effector system of S. pyogenes was shown to function in human cells for genome engineering. In this system, the Cas9 protein was directed to genomic target sites by a synthetically reconstituted “guide RNA” (“gRNA”, also used interchangeably herein as a chimeric single guide RNA (“sgRNA”)), which is a crRNA-tracrRNA fusion that obviates the need for RNase III and crRNA processing in general. Provided herein are CRISPR/Cas9-based engineered systems for use in gene editing and treating genetic diseases. The CRISPR/Cas9-based engineered systems can be designed to target any gene, including genes involved in, for example, a genetic disease, aging, tissue regeneration, or wound healing. The CRISPR/Cas9-based gene editing system can include a Cas9 protein or a Cas9 fusion protein.


a. Cas9 Protein


Cas9 protein is an endonuclease that cleaves nucleic acid and is encoded by the CRISPR loci and is involved in the Type II CRISPR system. The Cas9 protein can be from any bacterial or archaea species, including, but not limited to, Streptococcus pyogenes, Staphylococcus aureus (S. aureus), Acidovorax avenae, Actinobacillus pleuropneumoniae, Actinobacillus succinogenes, Actinobacillus suis, Actinomyces sp., cycliphilus denitrificans, Aminomonas paucivorans, Bacillus cereus, Bacillus smithii, Bacillus thuringiensis, Bacteroides sp., Blastopirellula marina, Bradyrhizobium sp., Brevibacillus laterosporus, Campylobacter coli, Campylobacter jejuni, Campylobacter lari, Candidatus Puniceispirillum, Clostridium cellulolyticum, Clostridium perfringens, Corynebacterium accolens, Corynebacterium diphtheria, Corynebacterium matruchotii, Dinoroseobacter shibae, Eubacterium dolichum, Gamma proteobacterium, Gluconacetobacter diazotrophicus, Haemophilus parainfluenzae, Haemophilus sputorum, Helicobacter canadensis, Helicobacter cinaedi, Helicobacter mustelae, Ilyobacter polytropus, Kingella kingae, Lactobacillus crispatus, Listeria ivanovii, Listeria monocytogenes, Listeriaceae bacterium, Methylocystis sp., Methylosinus trichosporium, Mobiluncus mulieris, Neisseria bacilliformis, Neisseria cinerea, Neisseria flavescens, Neisseria lactamica, Neisseria sp., Neisseria wadsworthii, Nitrosomonas sp., Parvibaculum lavamentivorans, Pasteurella multocida, Phascolarctobacterium succinatutens, Ralstonia syzygii, Rhodopseudomonas palustris, Rhodovulum sp., Simonsiella muelleri, Sphingomonas sp., Sporolactobacillus vineae, Staphylococcus lugdunensis, Streptococcus sp., Subdoligranulum sp., Tistrella mobilis, Treponema sp., or Verminephrobacter eiseniae. In certain embodiments, the Cas9 molecule is a Streptococcus pyogenes Cas9 molecule (also referred herein as “SpCas9”). SpCas9 may comprise an amino acid sequence of SEQ ID NO: 20. In certain embodiments, the Cas9 molecule is a Staphylococcus aureus Cas9 molecule (also referred herein as “SaCas9”). SaCas9 may comprise an amino acid sequence of SEQ ID NO: 21. The Cas9 protein may comprise an amino acid sequence having at least 75%, 80%, 85%, 90%, 95%, 97%, 98%, 99% or greater identity to SEQ ID NO: 20 or 21, or any fragment thereof. The Cas9 protein may comprise an amino acid sequence having one, two, three, four, five or more changes selected from amino acid substitutions, insertions, or deletions, relative to SEQ ID NO: 20 or 21, or any fragment thereof.


A Cas9 molecule or a Cas9 fusion protein can interact with one or more gRNA molecule(s) and, in concert with the gRNA molecule(s), can localize to a site which comprises a target domain, and in certain embodiments, a PAM sequence. The Cas9 protein forms a complex with the 3′ end of a gRNA. The ability of a Cas9 molecule or a Cas9 fusion protein to recognize a PAM sequence can be determined, for example, by using a transformation assay as known in the art.


The specificity of the CRISPR-based system may depend on two factors: the target sequence and the protospacer-adjacent motif (PAM). The target sequence is located on the 5′ end of the gRNA and is designed to bond with base pairs on the host DNA at the correct DNA sequence known as the protospacer. By simply exchanging the recognition sequence of the gRNA, the Cas9 protein can be directed to new genomic targets. The PAM sequence is located on the DNA to be altered and is recognized by a Cas9 protein. PAM recognition sequences of the Cas9 protein can be species specific.


In certain embodiments, the ability of a Cas9 molecule or a Cas9 fusion protein to interact with and cleave a target nucleic acid is PAM sequence dependent. A PAM sequence is a sequence in the target nucleic acid. In certain embodiments, cleavage of the target nucleic acid occurs upstream from the PAM sequence. Cas9 molecules from different bacterial species can recognize different sequence motifs (for example, PAM sequences). A Cas9 molecule of S. pyogenes may recognize the PAM sequence of NRG (5′-NRG-3′, where R is any nucleotide residue, and in some embodiments, R is either A or G, SEQ ID NO: 1). In certain embodiments, a Cas9 molecule of S. pyogenes may naturally prefer and recognize the sequence motif NGG (SEQ ID NO: 2) and directs cleavage of a target nucleic acid sequence 1 to 10, for example, 3 to 5, bp upstream from that sequence. In some embodiments, a Cas9 molecule of S. pyogenes accepts other PAM sequences, such as NAG (SEQ ID NO: 3) in engineered systems (Hsu et al., Nature Biotechnology 2013 doi:10.1038/nbt.2647, which is incorporated herein by reference in its entirety). In certain embodiments, a Cas9 molecule of S. thermophilus recognizes the sequence motif NGGNG (SEQ ID NO: 4) and/or NNAGAAW (W=A or T) (SEQ ID NO: 5) and directs cleavage of a target nucleic acid sequence 1 to 10, for example, 3 to 5, bp upstream from these sequences. In certain embodiments, a Cas9 molecule of S. mutans recognizes the sequence motif NGG (SEQ ID NO: 2) and/or NAAR (R=A or G) (SEQ ID NO: 6) and directs cleavage of a target nucleic acid sequence 1 to 10, for example, 3 to 5 bp, upstream from this sequence. In certain embodiments, a Cas9 molecule of S. aureus recognizes the sequence motif NNGRR (R=A or G) (SEQ ID NO: 7) and directs cleavage of a target nucleic acid sequence 1 to 10, for example, 3 to 5, bp upstream from that sequence. In certain embodiments, a Cas9 molecule of S. aureus recognizes the sequence motif NNGRRN (R=A or G) (SEQ ID NO: 8) and directs cleavage of a target nucleic acid sequence 1 to 10, for example, 3 to 5, bp upstream from that sequence. In certain embodiments, a Cas9 molecule of S. aureus recognizes the sequence motif NNGRRT (R=A or G) (SEQ ID NO: 9) and directs cleavage of a target nucleic acid sequence 1 to 10, for example, 3 to 5, bp upstream from that sequence. In certain embodiments, a Cas9 molecule of S. aureus recognizes the sequence motif NNGRRV (R=A or G; V=A or C or G) (SEQ ID NO: 10) and directs cleavage of a target nucleic acid sequence 1 to 10, for example, 3 to 5, bp upstream from that sequence. A Cas9 molecule derived from Neisseria meningitidis (NmCas9) normally has a native PAM of NNNNGATT (SEQ ID NO: 11), but may have activity across a variety of PAMs, including a highly degenerate NNNNGNNN PAM (SEQ ID NO: 12) (Esvelt et al. Nature Methods 2013 doi:10.1038/nmeth.2681, which is incorporated herein by reference in its entirety). In the aforementioned embodiments, N can be any nucleotide residue, for example, any of A, G, C, or T. Cas9 molecules can be engineered to alter the PAM specificity of the Cas9 molecule.


In some embodiments, the Cas9 protein recognizes a PAM sequence NGG (SEQ ID NO: 2) or NGA (SEQ ID NO: 13) or NNNRRT (R=A or G) (SEQ ID NO: 14) or ATTCCT (SEQ ID NO: 15) or NGAN (SEQ ID NO: 16) or NGNG (SEQ ID NO: 17). In some embodiments, the Cas9 protein is a Cas9 protein of S. aureus and recognizes the sequence motif NNGRR (R=A or G) (SEQ ID NO: 7), NNGRRN (R=A or G) (SEQ ID NO: 8), NNGRRT (R=A or G) (SEQ ID NO: 9), or NNGRRV (R=A or G; V=A or C or G) (SEQ ID NO: 10). In the aforementioned embodiments, N can be any nucleotide residue, for example, any of A, G, C, or T.


Additionally or alternatively, a nucleic acid encoding a Cas9 molecule or Cas9 polypeptide may comprise a nuclear localization sequence (NLS). Nuclear localization sequences are known in the art, for example, SV40 NLS (Pro-Lys-Lys-Lys-Arg-Lys-Val; SEQ ID NO: 49).


In some embodiments, the at least one Cas9 molecule is a mutant Cas9 molecule. The Cas9 protein can be mutated so that the nuclease activity is inactivated. An inactivated Cas9 protein (“iCas9”, also referred to as “dCas9”) with no endonuclease activity has been targeted to genes in bacteria, yeast, and human cells by gRNAs to silence gene expression through steric hindrance. Exemplary mutations with reference to the S. pyogenes Cas9 sequence to inactivate the nuclease activity include: D10A, E762A, H840A, N854A, N863A and/or D986A. A S. pyogenes Cas9 protein with the D10A mutation may comprise an amino acid sequence of SEQ ID NO: 22. A S. pyogenes Cas9 protein with D10A and H849A mutations may comprise an amino acid sequence of SEQ ID NO: 23. The Cas9 protein may comprise an amino acid sequence having at least 75%, 80%, 85%, 90%, 95%, 97%, 98%, 99% or greater identity to SEQ ID NO: 22 or 23, or any fragment thereof. The Cas9 protein may comprise an amino acid sequence having one, two, three, four, five or more changes selected from amino acid substitutions, insertions, or deletions, relative to SEQ ID NO: 22 or 23, or any fragment thereof. Exemplary mutations with reference to the S. aureus Cas9 sequence to inactivate the nuclease activity include D10A and N580A. In certain embodiments, the mutant S. aureus Cas9 molecule comprises a D10A mutation. The nucleotide sequence encoding this mutant S. aureus Cas9 is set forth in SEQ ID NO: 24. In certain embodiments, the mutant S. aureus Cas9 molecule comprises a N580A mutation. The nucleotide sequence encoding this mutant S. aureus Cas9 molecule is set forth in SEQ ID NO: 25. The Cas9 protein may be encoded by a polynucleotide comprising a sequence having at least 75%, 80%, 85%, 90%, 95%, 97%, 98%, 99% or greater identity to SEQ ID NO: 24 or 25, or any fragment thereof. The Cas9 protein may be encoded by a polynucleotide comprising a sequence having one, two, three, four, five or more changes selected from nucleotide substitutions, insertions, or deletions, relative to SEQ ID NO: 24 or 25, or any fragment thereof.


In some embodiments, the Cas9 protein is a VQR variant. The VQR variant of Cas9 is a mutant with a different PAM recognition, as detailed in Kleinstiver, et al. (Nature 2015, 523, 481-485, which is incorporated herein by reference in its entirety).


A polynucleotide encoding a Cas9 molecule can be a synthetic polynucleotide. For example, the synthetic polynucleotide can be chemically modified. The synthetic polynucleotide can be codon optimized, for example, at least one non-common codon or less-common codon has been replaced by a common codon. For example, the synthetic polynucleotide can direct the synthesis of an optimized messenger mRNA, for example, optimized for expression in a mammalian expression system, as described herein. An exemplary codon optimized nucleic acid sequence encoding a Cas9 molecule of S. pyogenes is set forth in SEQ ID NO: 26. Exemplary codon optimized nucleic acid sequences encoding a Cas9 molecule of S. aureus, and optionally containing nuclear localization sequences (NLSs), are set forth in SEQ ID NOs: 27-33. Another exemplary codon optimized nucleic acid sequence encoding a Cas9 molecule of S. aureus comprises the nucleotides 1293-4451 of SEQ ID NO: 34.


b. Cas Fusion Protein


Alternatively or additionally, the CRISPR/Cas-based gene editing system can include a fusion protein. The fusion protein can comprise two heterologous polypeptide domains. The first polypeptide domain comprises a Cas protein or a mutated Cas protein. The first polypeptide domain is fused to at least one second polypeptide domain. The second polypeptide domain has a different activity that what is endogenous to Cas protein. For example, the second polypeptide domain may have an activity such as transcription activation activity, transcription repression activity, transcription release factor activity, histone modification activity, nuclease activity, nucleic acid association activity, histone methylase activity, DNA methylase activity, histone demethylase activity, DNA demethylase activity, acetylation activity, and/or deacetylation activity. The activity of the second polypeptide domain may be direct or indirect. The second polypeptide domain may have this activity itself (direct), or it may recruit and/or interact with a polypeptide domain that has this activity (indirect). In some embodiments, the second polypeptide domain has transcription activation activity. In some embodiments, the second polypeptide domain has transcription repression activity. In some embodiments, the second polypeptide domain comprises a synthetic transcription factor. The second polypeptide domain may be at the C-terminal end of the first polypeptide domain, or at the N-terminal end of the first polypeptide domain, or a combination thereof. The fusion protein may include one second polypeptide domain. The fusion protein may include two of the second polypeptide domains. For example, the fusion protein may include a second polypeptide domain at the N-terminal end of the first polypeptide domain as well as a second polypeptide domain at the C-terminal end of the first polypeptide domain. In other embodiments, the fusion protein may include a single first polypeptide domain and more than one (for example, two or three) second polypeptide domains in tandem.


The linkage from the first polypeptide domain to the second polypeptide domain can be through reversible or irreversible covalent linkage or through a non-covalent linkage, as long as the linker does not interfere with the function of the second polypeptide domain. For example, a Cas polypeptide can be linked to a second polypeptide domain as part of a fusion protein. As another example, they can be linked through reversible non-covalent interactions such as avidin (or streptavidin)-biotin interaction, histidine-divalent metal ion interaction (such as, Ni, Co, Cu, Fe), interactions between multimerization (such as, dimerization) domains, or glutathione S-transferase (GST)-glutathione interaction. As yet another example, they can be linked covalently but reversibly with linkers such as dibromomaleimide (DBM) or amino-thiol conjugation.


In some embodiments, the fusion protein includes at least one linker. A linker may be included anywhere in the polypeptide sequence of the fusion protein, for example, between the first and second polypeptide domains. A linker may be of any length and design to promote or restrict the mobility of components in the fusion protein. A linker may comprise any amino acid sequence of about 2 to about 100, about 5 to about 80, about 10 to about 60, or about 20 to about 50 amino acids. A linker may comprise an amino acid sequence of at least about 2, 3, 4, 5, 10, 15, 20, 25, or 30 amino acids. A linker may comprise an amino acid sequence of less than about 100, 90, 80, 70, 60, 50, or 40 amino acids. A linker may include sequential or tandem repeats of an amino acid sequence that is 2 to 20 amino acids in length. Linkers may include, for example, a GS linker (Gly-Gly-Gly-Gly-Ser)n, wherein n is an integer between 0 and 10 (SEQ ID NO: 50). In a GS linker, n can be adjusted to optimize the linker length and achieve appropriate separation of the functional domains. Other examples of linkers may include, for example, Gly-Gly-Gly-Gly-Gly (SEQ ID NO: 51), Gly-Gly-Ala-Gly-Gly (SEQ ID NO: 52), Gly/Ser rich linkers such as Gly-Gly-Gly-Gly-Ser-Ser-Ser (SEQ ID NO: 53), or Gly/Ala rich linkers such as Gly-Gly-Gly-Gly-Ala-Ala-Ala (SEQ ID NO: 54).


In some embodiments, the Cas protein and/or the Cas fusion protein and/or gRNAs detailed herein may be used in compositions and methods for modulating expression of gene. Modulating may include, for example, increasing or enhancing expression of the gene, or reducing or inhibiting expression of the gene. The expression of the gene may be modulated by at least about 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 1.5-fold, 2-fold, 3-fold, 4-fold, 5-fold, 6-fold, 7-fold, 8-fold, 9-fold, or 10-fold, relative to a control. The expression of the gene may be modulated by less than about 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 1.5-fold, 2-fold, 3-fold, 4-fold, 5-fold, 6-fold, 7-fold, 8-fold, 9-fold, or 10-fold, relative to a control. The expression of the gene may be modulated by about 5-95%, 10-90%, 15-85%, 20-80%, or 1.5-fold to 10-fold, relative to a control. The expression of the gene may be reduced by at least about 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 1.5-fold, 2-fold, 3-fold, 4-fold, 5-fold, 6-fold, 7-fold, 8-fold, 9-fold, or 10-fold, relative to a control. The expression of the gene may be reduced by less than about 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 1.5-fold, 2-fold, 3-fold, 4-fold, 5-fold, 6-fold, 7-fold, 8-fold, 9-fold, or 10-fold, relative to a control. The expression of the gene may be reduced by about 5-95%, 10-90%, 15-85%, 20-80%, or 1.5-fold to 10-fold, relative to a control. The expression of the gene may be increased by at least about 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 1.5-fold, 2-fold, 3-fold, 4-fold, 5-fold, 6-fold, 7-fold, 8-fold, 9-fold, or 10-fold, relative to a control. The expression of the gene may be increased by less than about 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 75%, 80%, 85%, 90%, 95%, 1.5-fold, 2-fold, 3-fold, 4-fold, 5-fold, 6-fold, 7-fold, 8-fold, 9-fold, or 10-fold, relative to a control. The expression of the gene may be increased by about 5-95%, 10-90%, 15-85%, 20-80%, or 1.5-fold to 10-fold, relative to a control.


i) Transcription Activation Activity


The second polypeptide domain can have transcription activation activity, for example, a transactivation domain. For example, gene expression of endogenous mammalian genes, such as human genes, can be achieved by targeting a fusion protein of a first polypeptide domain, such as dCas9, and a transactivation domain to mammalian promoters via combinations of gRNAs. The transactivation domain can include a VP16 protein, multiple VP16 proteins, such as a VP48 domain or VP64 domain, p65 domain of NF kappa B transcription activator activity, TET1, VPR, VPH, Rta, and/or p300. For example, the fusion protein may comprise dCas9-p300. In some embodiments, p300 comprises a polypeptide having the amino acid sequence of SEQ ID NO: 35 or SEQ ID NO: 36. In other embodiments, the fusion protein comprises dCas9-VP64. In other embodiments, the fusion protein comprises VP64-dCas9-VP64. VP64-dCas9-VP64 may comprise a polypeptide having the amino acid sequence of SEQ ID NO: 37, encoded by the polynucleotide of SEQ ID NO: 38. VPH may comprise a polypeptide having the amino acid sequence of SEQ ID NO: 45, encoded by the polynucleotide of SEQ ID NO: 46. VPR may comprise a polypeptide having the amino acid sequence of SEQ ID NO: 47, encoded by the polynucleotide of SEQ ID NO: 48.


ii) Transcription Repression Activity


The second polypeptide domain can have transcription repression activity. Non-limiting examples of repressors include Kruppel associated box activity such as a KRAB domain or KRAB, MECP2, EED, ERF repressor domain (ERD), Mad mSIN3 interaction domain (SID) or Mad-SID repressor domain, SID4X repressor domain, Mxil repressor domain, SUV39H1, SUV39H2, G9A, ESET/SETBD1, Cir4, Su(var)3-9, Pr-SET7/8, SUV4-20H1, PR-set7, Suv4-20, Set9, EZH2, RIZ1, JMJD2A/JHDM3A, JMJD2B, JMJ2D2C/GASC1, JMJD2D, Rph1, JARID1A/RBP2, JARID1B/PLU-1, JARID1C/SMCX, JARID1D/SMCY, Lid, Jhn2, Jmj2, HDAC1, HDAC2, HDAC3, HDAC8, Rpd3, Hos1, Cir6, HDAC4, HDAC5, HDAC7, HDAC9, Hda1, Cir3, SIRT1, SIRT2, Sir2, Hst1, Hst2, Hst3, Hst4, HDAC11, DNMT1, DNMT3a/3b, DNMT3A-3L, MET1, DRM3, ZMET2, CMT1, CMT2, Laminin A, Laminin B, CTCF, and/or a domain having TATA box binding protein activity, or a combination thereof. In some embodiments, the second polypeptide domain has a KRAB domain activity, ERF repressor domain activity, Mxil repressor domain activity, SID4X repressor domain activity, Mad-SID repressor domain activity, DNMT3A or DNMT3L or fusion thereof activity, LSD1 histone demethylase activity, or TATA box binding protein activity. In some embodiments, the polypeptide domain comprises KRAB. KRAB may comprise a polypeptide having an amino acid sequence of SEQ ID NO: 55, encoded by a polynucleotide comprising the sequence of SEQ ID NO: 56. For example, the fusion protein may be S. pyogenes dCas9-KRAB (polynucleotide sequence SEQ ID NO: 39; protein sequence SEQ ID NO: 40). The fusion protein may be S. aureus dCas9-KRAB (polynucleotide sequence SEQ ID NO: 41; protein sequence SEQ ID NO: 42).


iii) Transcription Release Factor Activity


The second polypeptide domain can have transcription release factor activity. The second polypeptide domain can have eukaryotic release factor 1 (ERF1) activity or eukaryotic release factor 3 (ERF3) activity.


iv) Histone Modification Activity


The second polypeptide domain can have histone modification activity. The second polypeptide domain can have histone deacetylase, histone acetyltransferase, histone demethylase, or histone methyltransferase activity. The histone acetyltransferase may be p300 or CREB-binding protein (CBP) protein, or fragments thereof. For example, the fusion protein may be dCas9-p300. In some embodiments, p300 comprises a polypeptide of SEQ ID NO: 35 or SEQ ID NO: 36.


v) Nuclease Activity


The second polypeptide domain can have nuclease activity that is different from the nuclease activity of the Cas9 protein. A nuclease, or a protein having nuclease activity, is an enzyme capable of cleaving the phosphodiester bonds between the nucleotide subunits of nucleic acids. Nucleases are usually further divided into endonucleases and exonucleases, although some of the enzymes may fall in both categories. Well known nucleases include deoxyribonuclease and ribonuclease.


vi) Nucleic Acid Association Activity


The second polypeptide domain can have nucleic acid association activity or nucleic acid binding protein-DNA-binding domain (DBD). A DBD is an independently folded protein domain that contains at least one motif that recognizes double- or single-stranded DNA. A DBD can recognize a specific DNA sequence (a recognition sequence) or have a general affinity to DNA. A nucleic acid association region may be selected from helix-turn-helix region, leucine zipper region, winged helix region, winged helix-turn-helix region, helix-loop-helix region, immunoglobulin fold, B3 domain, Zinc finger, HMG-box, Wor3 domain, and TAL effector DNA-binding domain.


vii) Methylase Activity


The second polypeptide domain can have methylase activity, which involves transferring a methyl group to DNA, RNA, protein, small molecule, cytosine, or adenine. In some embodiments, the second polypeptide domain includes a DNA methyltransferase.


viii) Demethylase Activity


The second polypeptide domain can have demethylase activity. The second polypeptide domain can include an enzyme that removes methyl (CH3-) groups from nucleic acids, proteins (in particular histones), and other molecules. Alternatively, the second polypeptide can convert the methyl group to hydroxymethylcytosine in a mechanism for demethylating DNA. The second polypeptide can catalyze this reaction. For example, the second polypeptide that catalyzes this reaction can be Teti, also known as Teti CD (Ten-eleven translocation methylcytosine dioxygenase 1; polynucleotide sequence SEQ ID NO: 43; amino acid sequence SEQ ID NO: 44). In some embodiments, the second polypeptide domain has histone demethylase activity. In some embodiments, the second polypeptide domain has DNA demethylase activity.


c. Guide RNA (gRNA)


The CRISPR/Cas-based gene editing system includes at least one gRNA molecule. For example, the CRISPR/Cas-based gene editing system may include two gRNA molecules. The at least one gRNA molecule can bind and recognize a target region. The gRNA is the part of the CRISPR-Cas system that provides DNA targeting specificity to the CRISPR/Cas-based gene editing system. The gRNA is a fusion of two noncoding RNAs: a crRNA and a tracrRNA. gRNA mimics the naturally occurring crRNA:tracrRNA duplex involved in the Type II Effector system. This duplex, which may include, for example, a 42-nucleotide crRNA and a 75-nucleotide tracrRNA, acts as a guide for the Cas9 to bind, and in some cases, cleave the target nucleic acid. The gRNA may target any desired DNA sequence by exchanging the sequence encoding a 20 bp protospacer which confers targeting specificity through complementary base pairing with the desired DNA target. The “target region” or “target sequence” or “protospacer” refers to the region of the target gene to which the CRISPR/Cas9-based gene editing system targets and binds. The portion of the gRNA that targets the target sequence in the genome may be referred to as the “targeting sequence” or “targeting portion” or “targeting domain.” “Protospacer” or “gRNA spacer” may refer to the region of the target gene to which the CRISPR/Cas9-based gene editing system targets and binds; “protospacer” or “gRNA spacer” may also refer to the portion of the gRNA that is complementary to the targeted sequence in the genome. The gRNA may include a gRNA scaffold. A gRNA scaffold facilitates Cas9 binding to the gRNA and may facilitate endonuclease activity. The gRNA scaffold is a polynucleotide sequence that follows the portion of the gRNA corresponding to sequence that the gRNA targets. Together, the gRNA targeting portion and gRNA scaffold form one polynucleotide. The constant region of the gRNA may include the sequence of SEQ ID NO: 19 (RNA), which is encoded by a sequence comprising SEQ ID NO: 18 (DNA). The CRISPR/Cas9-based gene editing system may include at least one gRNA, wherein the gRNAs target different DNA sequences. The target DNA sequences may be overlapping. The gRNA may comprise at its 5′ end the targeting domain that is sufficiently complementary to the target region to be able to hybridize to, for example, about 10 to about 20 nucleotides of the target region of the target gene, when it is followed by an appropriate Protospacer Adjacent Motif (PAM). The target region or protospacer is followed by a PAM sequence at the 3′ end of the protospacer in the genome. Different Type II systems have differing PAM requirements, as detailed above.


The targeting domain of the gRNA does not need to be perfectly complementary to the target region of the target DNA. In some embodiments, the targeting domain of the gRNA is at least 80%, 85%, 90%, 95%, 96%, 97%, 98%, or at least 99% complementary to (or has 1, 2 or 3 mismatches compared to) the target region over a length of, such as, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, or 20 nucleotides. For example, the DNA-targeting domain of the gRNA may be at least 80% complementary over at least 18 nucleotides of the target region. The target region may be on either strand of the target DNA.


The gRNA may target a gene, or a regulatory element thereof, or a region thereof, as listed in any one of TABLES 18A, 18B, 19A, and/or 19B. The gRNA may comprise a sequence, and/or be encoded by a sequence, and/or target a sequence, and/or correspond to a gene region, and/or bind to a gene region listed in any one of TABLES 18A, 18B, 19A, and/or 19B. The gRNA may target a gene, or a regulatory element thereof, or a region thereof, as listed in any one of TABLES S1-S17. The gRNA may comprise a sequence, and/or be encoded by a sequence, and/or target a sequence, and/or correspond to a gene region, and/or bind to a gene region listed in any one of TABLES S1-S17. TABLES S1-S17 are as in Klann et al. 2021, “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety, and which is referred to herein as “Klann et al.” TABLE S1 of Klann et al. is incorporated herein by reference in its entirety. TABLE S2 of Klann et al. is incorporated herein by reference in its entirety. TABLE S3 of Klann et al. is incorporated herein by reference in its entirety. TABLE S4 of Klann et al. is incorporated herein by reference in its entirety. TABLE S5 of Klann et al. is incorporated herein by reference in its entirety. TABLE S6 of Klann et al. is incorporated herein by reference in its entirety. TABLE S7 of Klann et al. is incorporated herein by reference in its entirety. TABLE S8 of Klann et al. is incorporated herein by reference in its entirety. TABLE S9 of Klann et al. is incorporated herein by reference in its entirety. TABLE S10 of Klann et al. is incorporated herein by reference in its entirety. TABLE S11 of Klann et al. is incorporated herein by reference in its entirety. TABLE S12 of Klann et al. is incorporated herein by reference in its entirety. TABLE S13 of Klann et al. is incorporated herein by reference in its entirety. TABLE S14 of Klann et al. is incorporated herein by reference in its entirety. TABLE S15 of Klann et al. is incorporated herein by reference in its entirety. TABLE S16 of Klann et al. is incorporated herein by reference in its entirety. TABLE S17 of Klann et al. is incorporated herein by reference in its entirety.


The gRNA may target a gene regulatory element. The gRNA may target a regulatory element of a gene selected from those listed in TABLE 18A or TABLE 19A. The gRNA may target a regulatory element of a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, IGBP1, FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR. In some embodiments, the gRNA targets a regulatory element of a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 and may be used to decrease cell fitness. In some embodiments, the gRNA targets a regulatory element of a gene selected from FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR and may be used to increase cell fitness.


The gRNA may be selected from the gRNAs listed in TABLE 18A or TABLE 19A. The gRNA may comprise a polynucleotide sequence comprising at least one of SEQ ID NOs: 198-338, or a complement thereof, or a variant thereof, or a truncation thereof. The gRNA may be encoded by a polynucleotide sequence comprising at least one of SEQ ID NOs: 57-197, or a complement thereof, or a variant thereof, or a truncation thereof. The gRNA may bind and target a polynucleotide sequence comprising at least one of SEQ ID NOs: 339-479, or a complement thereof, or a variant thereof, or a truncation thereof. A truncation may be 1, 2, 3, 4, 5, 6, 7, 8, or 9 nucleotides shorter than the reference sequence.


In some embodiments, the gRNA targets a regulatory element and may be used to decrease cell fitness. For example, the gRNA may target a regulatory element associated with a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1. In some embodiments, the gRNA is selected from the gRNAs listed in TABLE 18A. The gRNA may comprise a polynucleotide sequence comprising at least one of SEQ ID NOs: 198-332, or a complement thereof, or a variant thereof, or a truncation thereof. The gRNA may be encoded by a polynucleotide sequence comprising at least one of SEQ ID NOs: 57-191, or a complement thereof, or a variant thereof, or a truncation thereof. The gRNA may bind and target a polynucleotide sequence comprising at least one of SEQ ID NOs: 339-473, or a complement thereof, or a variant thereof, or a truncation thereof. A truncation may be 1, 2, 3, 4, 5, 6, 7, 8, or 9 nucleotides shorter than the reference sequence. Decreasing cell fitness may include, for example, decreasing cell growth, decreasing cell growth rate, decreasing cell growth duration, decreasing cell size, increasing cell death, or a combination thereof.


In some embodiments, the gRNA targets a regulatory element and may be used to increase cell fitness. For example, the gRNA may target a regulatory element associated with a gene selected from FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR. In some embodiments, the gRNA is selected from the gRNAs listed in TABLE 19A. The gRNA may comprise a polynucleotide sequence comprising at least one of SEQ ID NOs: 333-338, or a complement thereof, or a variant thereof, or a truncation thereof. The gRNA may be encoded by a polynucleotide sequence comprising at least one of SEQ ID NOs: 192-197, or a complement thereof, or a variant thereof, or a truncation thereof. The gRNA may bind and target a polynucleotide sequence comprising at least one of SEQ ID NOs: 474-479, or a complement thereof, or a variant thereof, or a truncation thereof. A truncation may be 1, 2, 3, 4, 5, 6, 7, 8, or 9 nucleotides shorter than the reference sequence. Increasing cell fitness may include, for example, increasing cell growth, increasing cell growth rate, increasing cell growth duration, increasing cell size, or a combination thereof.









TABLE 18A







gRNAs for use in decreasing cell fitness.

















log2Fold


#
DNA encoding gRNA
gRNA
Target
Gene
Change















1
CTCAAGGGAGAAGGTTAAT
CUCAAGGGAGAAGGUUAA
CCACTCAAGGGAGAAGGTTA
SCD
−1.499927588



T (SEQ ID NO: 57)
UU (SEQ ID NO: 198)
ATT (SEQ ID NO: 339)







2
GGCCTACCAGATAACCAGT
GGCCUACCAGAUAACCAG
GGCCTACCAGATAACCAGTTG
LDB1
−1.773061245



T (SEQ ID NO: 58)
UU (SEQ ID NO: 199)
GG (SEQ ID NO: 340)







3
GGCCTACCAGATAACCAGT
GGCCUACCAGAUAACCAG
GGCCTACCAGATAACCAGTTG
NOLC1
−1.773061245



T (SEQ ID NO: 59)
UU (SEQ ID NO: 200)
GG (SEQ ID NO: 341)







4
TGCGTCACATGAGAGGAA
UGCGUCACAUGAGAGGAA
TGCGTCACATGAGAGGAAGTT
CASP7
−1.710885183



GT (SEQ ID NO:60)
GU (SEQ ID NO: 201)
GG (SEQ ID NO: 342)







5
AGTGACAGTGGATGCCATA
AGUGACAGUGGAUGCCAU
AGTGACAGTGGATGCCATAAC
EIF3A
−2.269982229



A (SEQ ID NO: 61)
AA (SEQ ID NO: 202)
GG (SEQ ID NO: 343)







6
AGTGACAGTGGATGCCATA
AGUGACAGUGGAUGCCAU
AGTGACAGTGGATGCCATAAC
FAM45A
−2.269982229



A (SEQ ID NO: 62)
AA (SEQ ID NO: 203)
GG (SEQ ID NO: 344)







7
GAGGGGGAGCGGGGCGA
GAGGGGGAGCGGGGCGA
CCCGAGGGGGAGCGGGGCG
BNIP3
−0.763455908



GAG (SEQ ID NO: 63)
GAG (SEQ ID NO: 204)
AGAG (SEQ ID NO: 345)







8
CGGGAGTGGCTGCTCGCG
CGGGAGUGGCUGCUCGC
CGGGAGTGGCTGCTCGCGGA
MASTL
−3.669938146



GA (SEQ ID NO: 64)
GGA (SEQ ID NO: 205)
GGG (SEQ ID NO: 346)







9
GGAGGTGAGGAAGGAGGG
GGAGGUGAGGAAGGAGG
CCAGGAGGTGAGGAAGGAGG
AKR1E2
−0.297415894



AA (SEQ ID NO: 65)
GAA (SEQ ID NO: 206)
GAA (SEQ ID NO: 347)







10
GCAGTGCCTCCGGCGGGG
GCAGUGCCUCCGGCGGG
GCAGTGCCTCCGGCGGGGGT
CRTAM
−0.382928483



GT (SEQ ID NO: 66)
GGU (SEQ ID NO: 207)
AGG (SEQ ID NO: 348)







11
TGATTAGGGACAGTTCCCC
UGAUUAGGGACAGUUCCC
CCTTGATTAGGGACAGTTCCC
LMO2
−2.299987034



G (SEQ ID NO: 67)
CG (SEQ ID NO: 208)
CG (SEQ ID NO: 349)







12
TAACTGTTACATGAAGACA
UAACUGUUACAUGAAGAC
CCCTAACTGTTACATGAAGAC
LMO2
−4.187824104



A (SEQ ID NO: 68)
AA (SEQ ID NO: 209)
AA (SEQ ID NO: 350)







13
GGCGCCCAGAAAACCTAG
GGCGCCCAGAAAACCUAG
GGCGCCCAGAAAACCTAGGT
GAB2
−2.6002839



GT (SEQ ID NO: 69)
GU (SEQ ID NO: 210)
GGG (SEQ ID NO: 351)







14
TCTATCTTCTGCCCTGACT
UCUAUCUUCUGCCCUGAC
CCATCTATCTTCTGCCCTGAC
GAB2
−2.409253932



T (SEQ ID NO: 70)
UU (SEQ ID NO: 211)
TT (SEQ ID NO: 352)







15
AGGGGCGAGCGGAGAGGA
AGGGGCGAGCGGAGAGG
CCTAGGGGCGAGCGGAGAG
PGAM5
−0.871448583



GG (SEQ ID NO: 71)
AGG (SEQ ID NO: 212)
GAGG (SEQ ID NO: 353)







16
GCGCCTCGCGTTCCTTGG
GCGCCUCGCGUUCCUUG
GCGCCTCGCGTTCCTTGGTA
YARS2
−2.920738928



TA (SEQ ID NO: 72)
GUA (SEQ ID NO: 213)
CGG (SEQ ID NO: 354)







17
TTAAGCTAGGGAGAATATT
UUAAGCUAGGGAGAAUAU
CCATTAAGCTAGGGAGAATAT
KLHDC1
−2.482482045



G (SEQ ID NO: 73)
UG (SEQ ID NO: 214)
TG (SEQ ID NO: 355)







18
TCCCTCTGGGGTTGAGGA
UCCCUCUGGGGUUGAGG
TCCCTCTGGGGTTGAGGAGG
PDCD7
−0.660746748



GG (SEQ ID NO: 74)
AGG (SEQ ID NO: 215)
AGG (SEQ ID NO: 356)







19
TCCCTCTGGGGTTGAGGA
UCCCUCUGGGGUUGAGG
TCCCTCTGGGGTTGAGGAGG
ZNF609
−0.660746748



GG (SEQ ID NO: 75)
AGG (SEQ ID NO: 216)
AGG (SEQ ID NO: 357)







20
TGAGACCAGCCTGGGTGA
UGAGACCAGCCUGGGUGA
CCGTGAGACCAGCCTGGGTG
NR2F2
−0.584098352



CA (SEQ ID NO: 76)
CA (SEQ ID NO: 217)
ACA (SEQ ID NO: 358)







21
TGAGACCAGCCTGGGTGA
UGAGACCAGCCUGGGUGA
CCGTGAGACCAGCCTGGGTG
NR2F2-
−0.584098352



CA (SEQ ID NO: 77)
CA (SEQ ID NO: 218)
ACA (SEQ ID NO: 359)
AS1






22
GGGAACTGGAACTGCCTG
GGGAACUGGAACUGCCUG
GGGAACTGGAACTGCCTGCG
PLK1
−4.746174907



CG (SEQ ID NO: 78)
CG (SEQ ID NO: 219)
GGG (SEQ ID NO: 360)







23
GGCGAAAGCCGACTCGAG
GGCGAAAGCCGACUCGAG
GGCGAAAGCCGACTCGAGGG
ZG16B
−0.219671275



GG (SEQ ID NO: 79)
GG (SEQ ID NO: 220)
TGG (SEQ ID NO: 361)







24
CCGGTCAGGGATGTTAGG
CCGGUCAGGGAUGUUAG
CCGGTCAGGGATGTTAGGAG
CBFA2T3
−4.224370075



AG (SEQ ID NO: 80)
GAG (SEQ ID NO: 221)
CGG (SEQ ID NO: 362)







25
CCGGTCAGGGATGTTAGG
CCGGUCAGGGAUGUUAG
CCGGTCAGGGATGTTAGGAG
MVD
−4.224370075



AG (SEQ ID NO: 81)
GAG (SEQ ID NO: 222)
CGG (SEQ ID NO: 363)







26
CCGGTCAGGGATGTTAGG
CCGGUCAGGGAUGUUAG
CCGGTCAGGGATGTTAGGAG
SPATA33
−4.224370075



AG (SEQ ID NO: 82)
GAG (SEQ ID NO: 223)
CGG (SEQ ID NO: 364)







27
TGCTCCTGGAAGCCCCAC
UGCUCCUGGAAGCCCCAC
TGCTCCTGGAAGCCCCACCC
SREBF1
−0.797359326



CC (SEQ ID NO: 83)
CC (SEQ ID NO: 224)
CGG (SEQ ID NO: 365)







28
TGATAGAGCTGGGGGACC
UGAUAGAGCUGGGGGACC
CCCTGATAGAGCTGGGGGAC
CTD-
−0.53313193



CG (SEQ ID NO: 84)
CG (SEQ ID NO: 225)
CCG (SEQ ID NO: 366)
2008P7.1






29
TTACAGCAGGAACAAGACT
UUACAGCAGGAACAAGAC
TTACAGCAGGAACAAGACTCA
CCR10
−1.843687278



C (SEQ ID NO: 85)
UC (SEQ ID NO: 226)
GG (SEQ ID NO: 367)







30
TTACAGCAGGAACAAGACT
UUACAGCAGGAACAAGAC
TTACAGCAGGAACAAGACTCA
HAP1
−1.843687278



C (SEQ ID NO: 86)
UC (SEQ ID NO: 227)
GG (SEQ ID NO: 368)







31
TTACAGCAGGAACAAGACT
UUACAGCAGGAACAAGAC
TTACAGCAGGAACAAGACTCA
PTRF
−1.843687278



C (SEQ ID NO: 87)
UC (SEQ ID NO: 228)
GG (SEQ ID NO: 369)







32
TTACAGCAGGAACAAGACT
UUACAGCAGGAACAAGAC
TTACAGCAGGAACAAGACTCA
STAT3
−1.843687278



C (SEQ ID NO: 88)
UC (SEQ ID NO: 229)
GG (SEQ ID NO: 370)







33
TTACAGCAGGAACAAGACT
UUACAGCAGGAACAAGAC
TTACAGCAGGAACAAGACTCA
STAT5A
−1.843687278



C (SEQ ID NO: 89)
UC (SEQ ID NO: 230)
GG (SEQ ID NO: 371)







34
TTACAGCAGGAACAAGACT
UUACAGCAGGAACAAGAC
TTACAGCAGGAACAAGACTCA
STAT5B
−1.843687278



C (SEQ ID NO: 90)
UC (SEQ ID NO: 231)
GG (SEQ ID NO: 372)







35
AGGGATGGACCCCAGCTC
AGGGAUGGACCCCAGCUC
AGGGATGGACCCCAGCTCCA
CAMKK1
−1.155590004



CA (SEQ ID NO: 91)
CA (SEQ ID NO: 232)
GGG (SEQ ID NO: 373)







36
ACTAGCAGAAGGCCCTGA
ACUAGCAGAAGGCCCUGA
CCAACTAGCAGAAGGCCCTG
RSAD1
−0.793709187



AG (SEQ ID NO: 92)
AG (SEQ ID NO: 233)
AAG (SEQ ID NO: 374)







37
ACTAGCAGAAGGCCCTGA
ACUAGCAGAAGGCCCUGA
CCAACTAGCAGAAGGCCCTG
XYLT2
−0.793709187



AG (SEQ ID NO: 93)
AG (SEQ ID NO: 234)
AAG (SEQ ID NO: 375)







38
AGCTGGACTGGGCCAGAG
AGCUGGACUGGGCCAGAG
AGCTGGACTGGGCCAGAGCG
ERN1
−1.456150356



CG (SEQ ID NO: 94)
CG (SEQ ID NO: 235)
GGG (SEQ ID NO: 376)







39
GCCCAGTTGGGGGATTCG
GCCCAGUUGGGGGAUUC
CCAGCCCAGTTGGGGGATTC
CARD14
−4.195662865



GG (SEQ ID NO: 95)
GGG (SEQ ID NO: 236)
GGG (SEQ ID NO: 377)







40
ACGTGGAGGGGCGGCTCC
ACGUGGAGGGGCGGCUC
ACGTGGAGGGGCGGCTCCGT
KLF1
−1.316522962



GT (SEQ ID NO: 96)
CGU (SEQ ID NO: 237)
GGG (SEQ ID NO: 378)







41
ACGTGGAGGGGCGGCTCC
ACGUGGAGGGGCGGCUC
ACGTGGAGGGGCGGCTCCGT
TNPO2
−1.316522962



GT (SEQ ID NO: 97)
CGU (SEQ ID NO: 238)
GGG (SEQ ID NO: 379)







42
GATTCCTGCGGGAACCGG
GAUUCCUGCGGGAACCGG
GATTCCTGCGGGAACCGGGG
RASAL3
−0.401754515



GG (SEQ ID NO: 98)
GG (SEQ ID NO: 239)
CGG (SEQ ID NO: 380)







43
GGTCGACAGCTTGGGTCC
GGUCGACAGCUUGGGUC
GGTCGACAGCTTGGGTCCCT
AC005256.1
−0.757866457



CT (SEQ ID NO: 99)
CCU (SEQ ID NO: 240)
CGG (SEQ ID NO: 381)







44
GGTCGACAGCTTGGGTCC
GGUCGACAGCUUGGGUC
GGTCGACAGCTTGGGTCCCT
GIPC3
−0.757866457



CT (SEQ ID NO: 100)
CCU (SEQ ID NO: 241)
CGG (SEQ ID NO: 382)







45
GGTCGACAGCTTGGGTCC
GGUCGACAGCUUGGGUC
GGTCGACAGCTTGGGTCCCT
MKNK2
−0.757866457



CT (SEQ ID NO: 101)
CCU (SEQ ID NO: 242)
CGG (SEQ ID NO: 383)







46
ACTTGAGCCTGGGGGTGT
ACUUGAGCCUGGGGGUG
ACTTGAGCCTGGGGGTGTCC
PDCD5
−2.45026283



CC (SEQ ID NO: 102)
UCC (SEQ ID NO: 243)
AGG (SEQ ID NO: 384)







47
ACTAACCCGCTGGCCCTC
ACUAACCCGCUGGCCCUC
CCTACTAACCCGCTGGCCCT
CTC-
−0.585672828



CC (SEQ ID NO: 103)
CC (SEQ ID NO: 244)
CCC (SEQ ID NO: 385)
273B12.10






48
TCTGAGGTGTGACCACACA
UCUGAGGUGUGACCACAC
TCTGAGGTGTGACCACACAG
CTD-
−2.700478104



G (SEQ ID NO: 104)
AG (SEQ ID NO: 245)
AGG (SEQ ID NO: 386)
3073N11.9






49
GAGTGAGGGGAGGTGGAG
GAGUGAGGGGAGGUGGA
CCTGAGTGAGGGGAGGTGGA
AC008440.5
−2.203212712



AG (SEQ ID NO: 105)
GAG (SEQ ID NO: 246)
GAG (SEQ ID NO: 387)







50
TCATCGACCTAGCTCCCAG
UCAUCGACCUAGCUCCCA
CCATCATCGACCTAGCTCCCA
SARS
−2.55293289



A (SEQ ID NO: 106)
GA (SEQ ID NO: 247)
GA (SEQ ID NO: 388)







51
GGGAGTGGCACACCCTGA
GGGAGUGGCACACCCUGA
CCTGGGAGTGGCACACCCTG
SARS
−0.711547573



TA (SEQ ID NO: 107)
UA (SEQ ID NO: 248)
ATA (SEQ ID NO: 389)







52
TCCCTACACGGGCAGGAG
UCCCUACACGGGCAGGAG
CCTTCCCTACACGGGCAGGA
RP5-
−1.667165813



GA (SEQ ID NO: 108)
GA (SEQ ID NO: 249)
GGA (SEQ ID NO: 390)
1065J22.8






53
TCCCTACACGGGCAGGAG
UCCCUACACGGGCAGGAG
CCTTCCCTACACGGGCAGGA
SARS
−1.667165813



GA (SEQ ID NO: 109)
GA (SEQ ID NO: 250)
GGA (SEQ ID NO: 391)







54
GTCCCTCCCGTGGGGCTG
GUCCCUCCCGUGGGGCU
CCCGTCCCTCCCGTGGGGCT
DFFA
−1.059035361



AT (SEQ ID NO: 110)
GAU (SEQ ID NO: 251)
GAT (SEQ ID NO: 392)







55
GTCCCTCCCGTGGGGCTG
GUCCCUCCCGUGGGGCU
CCCGTCCCTCCCGTGGGGCT
KIAA2013
−1.059035361



AT (SEQ ID NO: 111)
GAU (SEQ ID NO: 252)
GAT (SEQ ID NO: 393)







56
TCATAGTCACACCCAGGAG
UCAUAGUCACACCCAGGA
TCATAGTCACACCCAGGAGGT
RP11-
−5.360362095



G (SEQ ID NO: 112)
GG (SEQ ID NO: 253)
GG (SEQ ID NO: 394)
196G18.24






57
GAGGCACAGCCTGCTCTC
GAGGCACAGCCUGCUCUC
CCTGAGGCACAGCCTGCTCT
THEM4
−0.304275846



TC (SEQ ID NO: 113)
UC (SEQ ID NO: 254)
CTC (SEQ ID NO: 395)







58
GGGGAGCTGGGGAGGATG
GGGGAGCUGGGGAGGAU
GGGGAGCTGGGGAGGATGG
SLAMF1
−0.202557574



GA (SEQ ID NO: 114)
GGA (SEQ ID NO: 255)
ATGG (SEQ ID NO: 396)







59
CCGATGGGAGGAGGCAGG
CCGAUGGGAGGAGGCAG
CCGATGGGAGGAGGCAGGG
snoU13
−0.312253516



GG (SEQ ID NO: 115)
GGG (SEQ ID NO: 256)
GTGG (SEQ ID NO: 397)







60
AGCGCCCTGAGAGCCCTG
AGCGCCCUGAGAGCCCUG
CCCAGCGCCCTGAGAGCCCT
PPP1R15B
−1.858478461



AA (SEQ ID NO: 116)
AA (SEQ ID NO: 257)
GAA (SEQ ID NO: 398)







61
GCTGTACAGGGCGAGAGA
GCUGUACAGGGCGAGAGA
CCGGCTGTACAGGGCGAGAG
RP5-
−2.523650892



AG (SEQ ID NO: 117)
AG (SEQ ID NO: 258)
AAG (SEQ ID NO: 399)
1092A3.4






62
TGTGACCGGACCACCCTC
UGUGACCGGACCACCCUC
CCTTGTGACCGGACCACCCT
MEGF6
−1.098391527



CA (SEQ ID NO: 118)
CA (SEQ ID NO: 259)
CCA (SEQ ID NO: 400)







63
TGTGACCGGACCACCCTC
UGUGACCGGACCACCCUC
CCTTGTGACCGGACCACCCT
WRAP73
−1.098391527



CA (SEQ ID NO: 119)
CA (SEQ ID NO: 260)
CCA (SEQ ID NO: 401)







64
GCCAGAACGTGAACCACT
GCCAGAACGUGAACCACU
CCTGCCAGAACGTGAACCAC
CDC20
−1.990500496



GG (SEQ ID NO: 120)
GG (SEQ ID NO: 261)
TGG (SEQ ID NO: 402)







65
GCCAGAACGTGAACCACT
GCCAGAACGUGAACCACU
CCTGCCAGAACGTGAACCAC
TIE1
−1.990500496



GG (SEQ ID NO: 121)
GG (SEQ ID NO: 262)
TGG (SEQ ID NO: 403)







66
CTGAGACCCAGGAGGTGC
CUGAGACCCAGGAGGUGC
CCCCTGAGACCCAGGAGGTG
DNAJC11
−1.568794977



TG (SEQ ID NO: 122)
UG (SEQ ID NO: 263)
CTG (SEQ ID NO: 404)







67
AGGCCTAGCAGTGCGAGT
AGGCCUAGCAGUGCGAGU
AGGCCTAGCAGTGCGAGTGT
BCL2L1
−2.930273816



GT (SEQ ID NO: 123)
GU (SEQ ID NO: 264)
GGG (SEQ ID NO: 405)







68
GGCCACAGGATGTCAAGA
GGCCACAGGAUGUCAAGA
CCTGGCCACAGGATGTCAAG
TPX2
−2.724166279



AA (SEQ ID NO: 124)
AA (SEQ ID NO: 265)
AAA (SEQ ID NO: 406)







69
GGAGGGCACCCAGGTCCT
GGAGGGCACCCAGGUCCU
GGAGGGCACCCAGGTCCTCA
OSBPL2
−4.046949933



CA (SEQ ID NO: 125)
CA (SEQ ID NO: 266)
TGG (SEQ ID NO: 407)







70
GGAGGGCACCCAGGTCCT
GGAGGGCACCCAGGUCCU
GGAGGGCACCCAGGTCCTCA
SS18L1
−4.046949933



CA (SEQ ID NO: 126)
CA (SEQ ID NO: 267)
TGG (SEQ ID NO: 408)







71
GGGCGTGAGGGGGCCAAC
GGGCGUGAGGGGGCCAA
GGGCGTGAGGGGGCCAACCA
AP000265.1
−4.090254293



CA (SEQ ID NO: 127)
CCA (SEQ ID NO: 268)
TGG (SEQ ID NO:409 )







72
GGGCGTGAGGGGGCCAAC
GGGCGUGAGGGGGCCAA
GGGCGTGAGGGGGCCAACCA
IL10RB
−4.090254293



CA (SEQ ID NO: 128)
CCA (SEQ ID NO: 269)
TGG (SEQ ID NO: 410)







73
GGGCGTGAGGGGGCCAAC
GGGCGUGAGGGGGCCAA
GGGCGTGAGGGGGCCAACCA
MIS18A
−4.090254293



CA (SEQ ID NO: 129)
CCA (SEQ ID NO: 270)
TGG (SEQ ID NO: 411)







74
GGGCGTGAGGGGGCCAAC
GGGCGUGAGGGGGCCAA
GGGCGTGAGGGGGCCAACCA
MRPS6
−4.090254293



CA (SEQ ID NO: 130)
CCA (SEQ ID NO: 271)
TGG (SEQ ID NO: 412)







75
AGAGGACAGAGGCAGGAG
AGAGGACAGAGGCAGGAG
AGAGGACAGAGGCAGGAGGG
AP001476.4
−0.683911933



GG (SEQ ID NO: 131)
GG (SEQ ID NO: 272)
AGG (SEQ ID NO: 413)







76
TCCCCTCTAGCGGTAAGG
UCCCCUCUAGCGGUAAGG
CCATCCCCTCTAGCGGTAAG
USP18
−0.726414208



CC (SEQ ID NO: 132)
CC (SEQ ID NO: 273)
GCC (SEQ ID NO: 414)







77
CTCATCCATCGGCCATGTG
CUCAUCCAUCGGCCAUGU
CTCATCCATCGGCCATGTGCA
AC004463.6
−0.240173353



C (SEQ ID NO: 133)
GC (SEQ ID NO: 274)
GG (SEQ ID NO: 415)







78
TTAACCTGGGGGGAACCC
UUAACCUGGGGGGAACCC
CCTTTAACCTGGGGGGAACC
ERCC3
−0.880872443



AC (SEQ ID NO: 134)
AC (SEQ ID NO: 275)
CAC (SEQ ID NO: 416)







79
GCGCTCAGTAACCGGAGG
GCGCUCAGUAACCGGAGG
CCTGCGCTCAGTAACCGGAG
SRBD1
−3.510953718



AA (SEQ ID NO: 135)
AA (SEQ ID NO: 276)
GAA (SEQ ID NO: 417)







80
GGAGAGCTGGGGCCACAG
GGAGAGCUGGGGCCACA
CCCGGAGAGCTGGGGCCACA
BCYRN1
−0.669374994



CT (SEQ ID NO: 136)
GCU (SEQ ID NO: 277)
GCT (SEQ ID NO: 418)







81
GGAGAGCTGGGGCCACAG
GGAGAGCUGGGGCCACA
CCCGGAGAGCTGGGGCCACA
EPCAM
−0.669374994



CT (SEQ ID NO: 137)
GCU (SEQ ID NO: 278)
GCT (SEQ ID NO: 419)







82
GGGCCCAGCCAGTCCCAA
GGGCCCAGCCAGUCCCAA
CCCGGGCCCAGCCAGTCCCA
FOXN2
−1.056757668



CT (SEQ ID NO: 138)
CU (SEQ ID NO: 279)
ACT (SEQ ID NO: 420)







83
GCCCGAGGAGTGGGACGT
GCCCGAGGAGUGGGACG
GCCCGAGGAGTGGGACGTGG
PNPT1
−3.787114905



GG (SEQ ID NO: 139)
UGG (SEQ ID NO: 280)
GGG (SEQ ID NO: 421)







84
GTGGGACCTCTCCGATTCA
GUGGGACCUCUCCGAUUC
CCTGTGGGACCTCTCCGATTC
HK2
−1.659673132



C (SEQ ID NO: 140)
AC (SEQ ID NO: 281)
AC (SEQ ID NO: 422)







85
TCCTCGAGCCCACCCCCG
UCCUCGAGCCCACCCCCG
CCCTCCTCGAGCCCACCCCC
INO80B
−1.707593267



CA (SEQ ID NO: 141)
CA (SEQ ID NO: 282)
GCA (SEQ ID NO: 423)







86
GTCCCTATGGACCAGCAC
GUCCCUAUGGACCAGCAC
GTCCCTATGGACCAGCACCA
GHRLOS
−1.182500906



CA (SEQ ID NO: 142)
CA (SEQ ID NO: 283)
GGG (SEQ ID NO: 424)







87
GGAGGTAGCAAAAACCCT
GGAGGUAGCAAAAACCCU
GGAGGTAGCAAAAACCCTGG
ATP6V1A
−3.139614024



GG (SEQ ID NO: 143)
GG (SEQ ID NO: 284)
AGG (SEQ ID NO: 425)







88
TTCAGGCCATGAAGGGAA
UUCAGGCCAUGAAGGGAA
TTCAGGCCATGAAGGGAAGT
RP11-
−1.067410009



GT (SEQ ID NO: 144)
GU (SEQ ID NO: 285)
GGG (SEQ ID NO: 426)
53616.2






89
ACTCCCCTCCGAGAGCCG
ACUCCCCUCCGAGAGCCG
ACTCCCCTCCGAGAGCCGGG
DROSHA
−1.775504833



GG (SEQ ID NO: 145)
GG (SEQ ID NO: 286)
CGG (SEQ ID NO: 427)







90
CTGCCAGCGGGAACTGTG
CUGCCAGCGGGAACUGUG
CTGCCAGCGGGAACTGTGTA
PELO
−5.486691788



TA (SEQ ID NO: 146)
UA (SEQ ID NO: 287)
GGG (SEQ ID NO: 428)







91
AGGTGAACATCCCTAGGAA
AGGUGAACAUCCCUAGGA
AGGTGAACATCCCTAGGAAAA
PELO
−5.468864005



A (SEQ ID NO: 147)
AA (SEQ ID NO: 288)
GG (SEQ ID NO: 429)







92
TCACAGCTGGTCGGAAGC
UCACAGCUGGUCGGAAGC
TCACAGCTGGTCGGAAGCTC
RIOK2
−2.456552248



TC (SEQ ID NO: 148)
UC (SEQ ID NO: 289)
AGG (SEQ ID NO: 430)







93
GCATGCCCGGGACCAGCT
GCAUGCCCGGGACCAGCU
CCCGCATGCCCGGGACCAGC
PHACTR1
−1.64365509



GT (SEQ ID NO: 149)
GU (SEQ ID NO: 290)
TGT (SEQ ID NO: 431)







94
TTAGGGCACTTGAGAGACT
UUAGGGCACUUGAGAGAC
TTAGGGCACTTGAGAGACTG
AHI1
−1.396274517



G (SEQ ID NO: 150)
UG (SEQ ID NO: 291)
GGG (SEQ ID NO: 432)







95
TTAGGGCACTTGAGAGACT
UUAGGGCACUUGAGAGAC
TTAGGGCACTTGAGAGACTG
MYB
−1.396274517



G (SEQ ID NO: 151)
UG (SEQ ID NO: 292)
GGG (SEQ ID NO: 433)







96
CTGAAACCAAAGCAGTACT
CUGAAACCAAAGCAGUAC
CTGAAACCAAAGCAGTACTTT
MYB
−2.406371188



T (SEQ ID NO: 152)
UU (SEQ ID NO: 293)
GG (SEQ ID NO: 434)







97
TGAGAGCAGGCGGAGGGA
UGAGAGCAGGCGGAGGG
CCATGAGAGCAGGCGGAGGG
ULBP1
−0.274041877



AG (SEQ ID NO: 153)
AAG (SEQ ID NO: 294)
AAG (SEQ ID NO: 435)







98
GAGGGCGGCTGGGTGTCG
GAGGGCGGCUGGGUGUC
CCCGAGGGCGGCTGGGTGTC
FBXO5
−4.044506266



GG (SEQ ID NO: 154)
GGG (SEQ ID NO: 295)
GGG (SEQ ID NO: 436)







99
CTGTGACTCGCGTAGCAG
CUGUGACUCGCGUAGCAG
CCACTGTGACTCGCGTAGCA
HIST1H1D
−4.084054163



AG (SEQ ID NO: 155)
AG (SEQ ID NO: 296)
GAG (SEQ ID NO: 437)







100
CTGTGACTCGCGTAGCAG
CUGUGACUCGCGUAGCAG
CCACTGTGACTCGCGTAGCA
HIST1H1T
−4.084054163



AG (SEQ ID NO: 156)
AG (SEQ ID NO: 297)
GAG (SEQ ID NO: 438)







101
CTGTGACTCGCGTAGCAG
CUGUGACUCGCGUAGCAG
CCACTGTGACTCGCGTAGCA
HIST1H2AC
−4.084054163



AG (SEQ ID NO: 157)
AG (SEQ ID NO: 298)
GAG (SEQ ID NO: 439)







102
GGGCGGCCCTAAGCTCAG
GGGCGGCCCUAAGCUCAG
GGGCGGCCCTAAGCTCAGGA
NFKBIL1
−4.623945627



GA (SEQ ID NO: 158)
GA (SEQ ID NO: 299)
TGG (SEQ ID NO: 440)







103
GGGCGGCCCTAAGCTCAG
GGGCGGCCCUAAGCUCAG
GGGCGGCCCTAAGCTCAGGA
PPP1R10
−4.623945627



GA (SEQ ID NO: 159)
GA (SEQ ID NO: 300)
TGG (SEQ ID NO: 441)







104
GGGCGGCCCTAAGCTCAG
GGGCGGCCCUAAGCUCAG
GGGCGGCCCTAAGCTCAGGA
XXbac-
−4.623945627



GA (SEQ ID NO: 160)
GA (SEQ ID NO: 301)
TGG (SEQ ID NO: 442)
BPG252P9.







10






105
CCCGACGGTGGTTCACGA
CCCGACGGUGGUUCACGA
CCCCCCGACGGTGGTTCACG
ATP6V1G2
−3.387411471



AA (SEQ ID NO: 161)
AA (SEQ ID NO: 302)
AAA (SEQ ID NO: 443)







106
CCCGACGGTGGTTCACGA
CCCGACGGUGGUUCACGA
CCCCCCGACGGTGGTTCACG
TUBB
−3.387411471



AA (SEQ ID NO: 162)
AA (SEQ ID NO: 303)
AAA (SEQ ID NO: 444)







107
AGGAGCAGCCCGGGAACC
AGGAGCAGCCCGGGAACC
CCCAGGAGCAGCCCGGGAAC
DHX16
−1.185735621



CA (SEQ ID NO: 163)
CA (SEQ ID NO: 304)
CCA (SEQ ID NO: 445)







108
AGGAGCAGCCCGGGAACC
AGGAGCAGCCCGGGAACC
CCCAGGAGCAGCCCGGGAAC
MICA
−1.185735621



CA (SEQ ID NO: 164)
CA (SEQ ID NO: 305)
CCA (SEQ ID NO: 446)







109
AGGAGCAGCCCGGGAACC
AGGAGCAGCCCGGGAACC
CCCAGGAGCAGCCCGGGAAC
MICB
−1.185735621



CA (SEQ ID NO: 165)
CA (SEQ ID NO: 306)
CCA (SEQ ID NO: 447)







110
AGGAGCAGCCCGGGAACC
AGGAGCAGCCCGGGAACC
CCCAGGAGCAGCCCGGGAAC
PPP1R10
−1.185735621



CA (SEQ ID NO: 166)
CA (SEQ ID NO: 307)
CCA (SEQ ID NO: 448)







111
CGCTGCCGGCCAGCGTCC
CGCUGCCGGCCAGCGUC
CGCTGCCGGCCAGCGTCCTC
RP11-
−2.516398914



TC (SEQ ID NO: 167)
CUC (SEQ ID NO: 308)
TGG (SEQ ID NO: 449)
140K17.3






112
CGCTAACAGAGCCGCCAC
CGCUAACAGAGCCGCCAC
CCACGCTAACAGAGCCGCCA
FRS3
−0.928362359



AT (SEQ ID NO: 168)
AU (SEQ ID NO: 309)
CAT (SEQ ID NO: 450)







113
TAAGAAGTCGGCAGGGGC
UAAGAAGUCGGCAGGGGC
CCTTAAGAAGTCGGCAGGGG
CDHR3
−5.132244174



AG (SEQ ID NO: 169)
AG (SEQ ID NO: 310)
CAG (SEQ ID NO: 451)







114
TAAGAAGTCGGCAGGGGC
UAAGAAGUCGGCAGGGGC
CCTTAAGAAGTCGGCAGGGG
RP4-5
−5.132244174



AG (SEQ ID NO: 170)
AG (SEQ ID NO: 311)
CAG (SEQ ID NO: 452)
93H12.1






115
TAAGAAGTCGGCAGGGGC
UAAGAAGUCGGCAGGGGC
CCTTAAGAAGTCGGCAGGGG
RP5-
−5.132244174



AG (SEQ ID NO: 171)
AG (SEQ ID NO: 312)
CAG (SEQ ID NO: 453)
884M6.1






116
CCAGCGCTGGAGGGCAGC
CCAGCGCUGGAGGGCAG
CCAGCGCTGGAGGGCAGCG
PSMG3
−1.952802165



GG (SEQ ID NO: 172)
CGG (SEQ ID NO: 313)
GGGG (SEQ ID NO: 454)







117
CAGCCCTCGCGTGTACCT
CAGCCCUCGCGUGUACCU
CAGCCCTCGCGTGTACCTGA
DDX56
−4.133673733



GA (SEQ ID NO: 173)
GA (SEQ ID NO: 314)
AGG (SEQ ID NO: 455)







118
TGCGAAAGGCACAGGATC
UGCGAAAGGCACAGGAUC
TGCGAAAGGCACAGGATCCC
MSRA
−0.179998978



CC (SEQ ID NO: 174)
CC (SEQ ID NO: 315
CGG (SEQ ID NO: 456)







119
GTGCTGGCTGTAGAGGTTA
GUGCUGGCUGUAGAGGU
GTGCTGGCTGTAGAGGTTAAA
CDC26
−3.962930049



A (SEQ ID NO: 175)
UAA (SEQ ID NO: 316)
GG (SEQ ID NO: 457)







120
GTGCTGGCTGTAGAGGTTA
GUGCUGGCUGUAGAGGU
GTGCTGGCTGTAGAGGTTAAA
RNF183
−3.962930049



A (SEQ ID NO: 176)
UAA (SEQ ID NO: 317)
GG (SEQ ID NO: 458)







121
CCTCACAACGGGGAGGAA
CCUCACAACGGGGAGGAA
CCACCTCACAACGGGGAGGA
ENG
−0.78733016



AC (SEQ ID NO: 177)
AC (SEQ ID NO: 318)
AAC (SEQ ID NO: 459)







122
GGGCTTGCTGAGCACTCG
GGGCUUGCUGAGCACUC
CCCGGGCTTGCTGAGCACTC
RP11-
−0.790115359



CG (SEQ ID NO: 178)
GCG (SEQ ID NO: 319)
GCG (SEQ ID NO: 460)
545E17.3






123
GAGCACTGAGAGGAGCGG
GAGCACUGAGAGGAGCGG
CCGGAGCACTGAGAGGAGCG
C9orf171
−1.533863746



GG (SEQ ID NO: 179)
GG (SEQ ID NO: 320)
GGG (SEQ ID NO: 461)







124
CCATGCTCATGAGCACTGG
CCAUGCUCAUGAGCACUG
CCTCCATGCTCATGAGCACTG
INPP5E
−0.904211923



A (SEQ ID NO: 180)
GA (SEQ ID NO: 321)
GA (SEQ ID NO: 462)







125
CCATGCTCATGAGCACTGG
CCAUGCUCAUGAGCACUG
CCTCCATGCTCATGAGCACTG
PTGDS
−0.904211923



A (SEQ ID NO: 181)
GA (SEQ ID NO: 322)
GA (SEQ ID NO: 463)







126
GGCCGAGCGCCCCAGGTC
GGCCGAGCGCCCCAGGU
CCCGGCCGAGCGCCCCAGGT
RAB33A
−2.144598052



GG (SEQ ID NO: 182)
CGG (SEQ ID NO: 323)
CGG (SEQ ID NO: 464)







127
TCAGGGATGGGAGAGGAG
UCAGGGAUGGGAGAGGA
TCAGGGATGGGAGAGGAGGA
DUSP9
−2.318799109



GA (SEQ ID NO: 183)
GGA (SEQ ID NO: 324)
GGG (SEQ ID NO: 465)







128
TCTACCGGTACCCTCTCCC
UCUACCGGUACCCUCUCC
CCATCTACCGGTACCCTCTCC
GATA1
−0.266425485



C (SEQ ID NO: 184)
CC (SEQ ID NO: 325)
CC (SEQ ID NO: 466)







129
TCTACCGGTACCCTCTCCC
UCUACCGGUACCCUCUCC
CCATCTACCGGTACCCTCTCC
GLOD5
−0.266425485



C (SEQ ID NO: 185)
CC (SEQ ID NO: 326)
CC (SEQ ID NO: 467)







130
TCTACCGGTACCCTCTCCC
UCUACCGGUACCCUCUCC
CCATCTACCGGTACCCTCTCC
HDAC6
−0.266425485



C (SEQ ID NO: 186)
CC (SEQ ID NO: 327)
CC (SEQ ID NO: 468)







131
TCTACCGGTACCCTCTCCC
UCUACCGGUACCCUCUCC
CCATCTACCGGTACCCTCTCC
PLP2
−0.266425485



C (SEQ ID NO: 187)
CC (SEQ ID NO: 328)
CC (SEQ ID NO: 469)







132
TCTACCGGTACCCTCTCCC
UCUACCGGUACCCUCUCC
CCATCTACCGGTACCCTCTCC
SUV39H1
−0.266425485



C (SEQ ID NO: 188)
CC (SEQ ID NO: 329)
CC (SEQ ID NO: 470)







133
TCTACCGGTACCCTCTCCC
UCUACCGGUACCCUCUCC
CCATCTACCGGTACCCTCTCC
WAS
−0.266425485



C (SEQ ID NO: 189)
CC (SEQ ID NO: 330)
CC (SEQ ID NO: 471)







134
TGAGCCTCAGAGGTATCCT
UGAGCCUCAGAGGUAUCC
CCATGAGCCTCAGAGGTATC
PIM2
−1.630300488



G (SEQ ID NO: 190)
UG (SEQ ID NO: 331)
CTG (SEQ ID NO: 472)







135
TCGTAAGATATCAACCATC
UCGUAAGAUAUCAACCAU
CCCTCGTAAGATATCAACCAT
IGBP1
−2.649530558



T (SEQ ID NO: 191)
CU (SEQ ID NO: 332)
CT (SEQ ID NO: 473)





DNA encoding gRNA = Protospacer = gRNA protospacer sequence (20 nt).


Target = gRNA protospacer + PAM for guides in the ′+′ strand; reversed complement of PAM+gRNA protospacer for guides in the ′−′ strand.


Gene = HUGO Gene Symbol.


log2FoldChange = log2 fold-change of gRNA enrichment when comparing K562 cells with dCas9-KRAB vs K562 WT cells. A positive value corresponds with gRNAs increasing cells fitness; a negative value indicates gRNAs decreasing cell fitness.













TABLE 18B







gRNAs for use in decreasing cell fitness.




















Chr
Start
End



Chr
Start
End
log2Fold




#
grna
grna
grna
strand
PAM
Gene
gene
gene
gene
Change
pvalue
padj






















1
chr10
102119098
102119117

TGG
SCD
chr10
102106881
102124591
−1.499927588
1.16589E−10
5.82358E−08


2
chr10
103872287
103872306
+
GGG
LDB1
chr10
103867317
103880210
−1.773061245
3.52298E−20
5.34419E−17


3
chr10
103872287
103872306
+
GGG
NOLC1
chr10
103911933
103923627
−1.773061245
3.52298E−20
5.34419E−17


4
chr10
115478924
115478943
+
TGG
CASP7
chr10
115438942
115490662
−1.710885183
2.54989E−09
6.96152E−07


5
chr10
120826758
120826777
+
CGG
EIF3A
chr10
120794356
120840316
−2.269982229
9.14925E−12
4.648E−09


6
chr10
120826758
120826777
+
CGG
FAM45A
chr10
120863598
120897496
−2.269982229
9.14925E−12
4.648E−09


7
chr10
134649517
134649536

GGG
BNIP3
chr10
133781578
133795435
−0.763455908
4.31827E−10
4.67533E−08


8
chr10
27444298
27444317
+
GGG
MASTL
chr10
27443753
27475853
−3.669938146
4.64718E−13
9.02762E−11


9
chr10
4869655
4869674

TGG
AKR1E2
chr10
4828821
4890254
−0.297415894
0.000287781
0.008685744


10
chr11
123431984
123432003
+
AGG
CRTAM
chr11
122709208
122743347
−0.382928483
0.000175874
0.014548598


11
chr11
33963334
33963353

AGG
LMO2
chr11
33880122
33913836
−2.299987034
1.84878E−10
1.27592E−07


12
chr11
33966584
33966603

GGG
LMO2
chr11
33880122
33913836
−4.187824104
8.33352E−38
5.18445E−34


13
chr11
78001597
78001616
+
GGG
GAB2
chr11
77926343
78129394
−2.6002839
1.37404E−11
2.22661E−09


14
chr11
78003476
78003495

TGG
GAB2
chr11
77926343
78129394
−2.409253932
1.09221E−14
1.3886E−11


15
chr12
133174674
133174693

AGG
PGAM5
chr12
133287405
133299228
−0.871448583
1.55777E−10
1.00041E−08


16
chr12
32908415
32908434
+
CGG
YARS2
chr12
32880424
32908836
−2.920738928
3.14594E−19
4.22503E−16


17
chr14
50066320
50066339

TGG
KLHDC1
chr14
50159823
50219870
−2.482482045
2.6692E−43
1.02718E−39


18
chr15
64753743
64753762
+
AGG
PDCD7
chr15
65409717
65426174
−0.660746748
5.21377E−06
0.000417837


19
chr15
64753743
64753762
+
AGG
ZNF609
chr15
64752941
64978264
−0.660746748
5.21377E−06
0.000417837


20
chr15
96816767
96816786

CGG
NR2F2
chr15
96869167
96883492
−0.584098352
3.86556E−07
4.78026E−05


21
chr15
96816767
96816786

CGG
NR2F2-
chr15
96670598
96870590
−0.584098352
3.86556E−07
4.78026E−05








AS1








22
chr16
23690678
23690697
+
GGG
PLK1
chr16
23688977
23701688
−4.746174907
1.12222E−17
3.92398E−15


23
chr16
3156431
3156450
+
TGG
ZG16B
chr16
2880170
2888967
−0.219671275
0.000106666
0.002449228


24
chr16
89059487
89059506
+
CGG
CBFA2T3
chr16
88941266
89043612
−4.224370075
1.82402E−23
1.16325E−20


25
chr16
89059487
89059506
+
CGG
MVD
chr16
88718343
88729569
  4.224370075
1.82402E−23
1.16325E−20


26
chr16
89059487
89059506
+
CGG
SPATA33
chr16
89724210
89737680
−4.224370075
1.82402E−23
1.16325E−20


27
chr17
17723351
17723370
+
CGG
SREBF1
chr17
17713713
17740325
−0.797359326
1.59025E−06
0.000179597


28
chr17
26075388
26075407

GGG
CTD-
chr17
26590660
26593395
−0.53313193
1.30879E−06
0.000157631








2008P7.1








29
chr17
40472220
40472239
+
AGG
CCR10
chr17
40830907
40835935
−1.843687278
1.08941E−05
0.000601642


30
chr17
40472220
40472239
+
AGG
HAP1
chr17
39873994
39890896
−1.843687278
1.08941E−05
0.000601642


31
chr17
40472220
40472239
+
AGG
PTRF
chr17
40554470
40575535
−1.843687278
1.08941E−05
0.000601642


32
chr17
40472220
40472239
+
AGG
STAT3
chr17
40465342
40540586
−1.843687278
1.08941E−05
0.000601642


33
chr17
40472220
40472239
+
AGG
STAT5A
chr17
40439565
40463961
−1.843687278
1.08941E−05
0.000601642


34
chr17
40472220
40472239
+
AGG
STAT5B
chr17
40351186
40428725
−1.843687278
1.08941E−05
0.000601642


35
chr17
4447479
4447498
+
GGG
CAMKK1
chr17
3763609
3798185
−1.155590004
3.15936E−11
1.11288E−08


36
chr17
48961477
48961496

TGG
RSAD1
chr17
48556161
48563336
  0.793709187
3.60648E−09
5.17199E−07


37
chr17
48961477
48961496

TGG
XYLT2
chr17
48423453
48440499
−0.793709187
3.60648E−09
5.17199E−07


38
chr17
62015741
62015760
+
GGG
ERN1
chr17
62116502
62208179
−1.456150356
5.83823E−09
1.65323E−06


39
chr17
78222801
78222820

TGG
CARD14
chr17
78143791
78183130
−4.195662865
1.33839E−20
6.23076E−18


40
chr19
12996886
12996905
+
GGG
KLF1
chr19
12995237
12997995
−1.316522962
7.40827E−07
5.189E−05


41
chr19
12996886
12996905
+
GGG
TNPO2
chr19
12810008
12834825
−1.316522962
7.40827E−07
5.189E−05


42
chr19
16188145
16188164
+
CGG
RASAL3
chr19
15562435
15575382
−0.401754515
0.001333663
0.035342875


43
chr19
2730264
2730283
+
CGG
AC0052561
chr19
1748055
1748744
−0.757866457
1.99532E−06
0.000233659


44
chr19
2730264
2730283
+
CGG
GIPC3
chr19
3585551
3593539
−0.757866457
1.99532E−06
0.000233659


45
chr19
2730264
2730283
+
CGG
MKNK2
chr19
2037470
2051243
−0.757866457
1.99532E−06
0.000233659


46
chr19
33178821
33178840
+
AGG
PDCD5
chr19
33071974
33078358
−2.45026283
5.07478E−07
3.66374E−05


47
chr19
48269449
48269468

AGG
CTC-
chr19
49016464
49016917
−0.585672828
6.20258E−07
3.74213E−05








273B12.10








48
chr19
51479221
51479240
+
AGG
CTD-
chr19
52022985
52023514
−2.700478104
1.99815E−14
1.30766E−11








3073N11.9








49
chr19
54637756
54637775

AGG
AC0084405
chr19
54377880
54379303
−2.203212712
3.24701E−06
0.000200551


50
chr1
109757641
109757660

TGG
SARS
chr1
109756540
109780791
−2.55293289
8.47606E−18
1.57051E−14


51
chr1
109761346
109761365

AGG
SARS
chr1
109756540
109780791
−0.711547573
0.000122219
0.014735573


52
chr1
109782410
109782429

AGG
RP5-
chr1
109630593
109633480
−1.667165813
2.57063E−12
1.4157E−09








1065J22.8








53
chr1
109782410
109782429

AGG
SARS
chr1
109756540
109780791
−1.667165813
2.57063E−12
1.4157E−09


54
chr1
11369670
11369689

GGG
DFFA
chr1
10516579
10532583
−1.059035361
1.80175E−08
1.98494E−06


55
chr1
11369670
11369689

GGG
KIAA2013
chr1
11979648
11986485
−1.059035361
1.80175E−08
1.98494E−06


56
chr1
149046669
149046688
+
TGG
RP11-
chr1
149817383
149818053
−5.360362095
7.79536E−45
3.30712E−41








196G18.24








57
chr1
151117362
151117381

AGG
THEM4
chr1
151846060
151882284
−0.304275846
7.32627E−05
0.002894576


58
chr1
160054752
160054771
+
TGG
SLAMF1
chr1
160577890
160617085
−0.202557574
0.001683471
0.040916866


59
chr1
202561511
202561530
+
TGG
snoU13
chr1
202200792
202200892
−0.312253516
0.00144774
0.041984789


60
chr1
204380211
204380230

GGG
PPP1R15B
chr1
204372515
204380919
−1.858478461
7.42176E−17
3.64283E−14


61
chr1
28422902
28422921

CGG
RP5-
chr1
28566020
28567964
−2.523650892
5.10562E−12
2.98551E−09








1092A3.4








62
chr1
2890481
2890500

AGG
MEGF6
chr1
3406484
3528059
−1.098391527
2.88244E−15
8.14035E−13


63
chr1
2890481
2890500

AGG
WRAP73
chr1
3547331
3569325
−1.098391527
2.88244E−15
8.14035E−13


64
chr1
43826400
43826419

AGG
CDC20
chr1
43824626
43828874
−1.990500496
9.414E−19
9.68984E−16


65
chr1
43826400
43826419

AGG
TIE1
chr1
43766664
43788779
−1.990500496
9.414E−19
9.68984E−16


66
chr1
5698888
5698907

GGG
DNAJC11
chr1
6694228
6761984
−1.568794977
2.04716E−14
6.79146E−12


67
chr20
30263861
30263880
+
GGG
BCL2L1
chr20
30252255
30311792
−2.930273816
3.30308E−15
1.61492E−12


68
chr20
30328119
30328138

AGG
TPX2
chr20
30327074
30389608
−2.724166279
1.56366E−26
4.0341E−23


69
chr20
59904474
59904493
+
TGG
OSBPL2
chr20
60813580
60871268
−4.046949933
2.50203E−27
7.13776E−24


70
chr20
59904474
59904493
+
TGG
SS18L1
chr20
60718822
60757540
−4.046949933
2.50203E−27
7.13776E−24


71
chr21
34473691
34473710
+
TGG
AP000265.1
chr21
33632115
33633896
−4.090254293
3.02773E−26
3.16557E−23


72
chr21
34473691
34473710
+
TGG
IL10RB
chr21
34638663
34669539
−4.090254293
3.02773E−26
3.16557E−23


73
chr21
34473691
34473710
+
TGG
MIS18A
chr21
33640530
33651380
−4.090254293
3.02773E−26
3.16557E−23


74
chr21
34473691
34473710
+
TGG
MRPS6
chr21
35445524
35515334
−4.090254293
3.02773E−26
3.16557E−23


75
chr21
47027472
47027491
+
AGG
AP001476.4
chr21
47472510
47473019
−0.683911933
8.94094E−09
6.67722E−07


76
chr22
18371792
18371811

TGG
USP18
chr22
18632666
18660164
−0.726414208
2.0014E−05
0.000793051


77
chr22
19733132
19733151
+
AGG
AC004463.6
chr22
19158908
19160352
−0.240173353
0.00181737
0.036788733


78
chr2
127955643
127955662

AGG
ERCC3
chr2
128014866
128051752
−0.880872443
7.8799E−10
1.42295E−07


79
chr2
45837776
45837795

AGG
SRBD1
chr2
45615819
45839304
−3.510953718
1.19959E−10
1.67597E−08


80
chr2
47563629
47563648

GGG
BCYRN1
chr2
47558199
47571656
−0.669374994
1.62525E−07
1.83626E−05


81
chr2
47563629
47563648

GGG
EPCAM
chr2
47572297
47614740
−0.669374994
1.62525E−07
1.83626E−05


82
chr2
48542453
48542472

GGG
FOXN2
chr2
48541776
48606433
−1.056757668
2.6411E−10
6.45332E−08


83
chr2
55920328
55920347
+
GGG
PNPT1
chr2
55861400
55921045
−3.787114905
2.61895E−16
7.84163E−14


84
chr2
75061352
75061371

AGG
HK2
chr2
75061108
75120486
−1.659673132
1.60267E−07
1.30231E−05


85
chr2
75062270
75062289

GGG
INO80B
chr2
74682150
74688011
−1.707593267
1.50193E−19
9.22056E−17


86
chr3
10492368
10492387
+
GGG
GHRLOS
chr3
10327438
10335133
−1.182500906
1.05326E−05
0.000872859


87
chr3
113466355
113466374
+
AGG
ATP6V1A
chr3
113465866
113530903
−3.139614024
2.52123E−10
3.36716E−08


88
chr3
13629109
13629128
+
GGG
RP11-
chr3
14313873
14345345
−1.067410009
5.44202E−14
1.71401E−11








53616.2








89
chr5
31531835
31531854
+
CGG
DROSHA
chr5
31400604
31532303
−1.775504833
1.58118E−10
4.70048E−08


90
chr5
52095954
52095973
+
GGG
PELO
chr5
52083774
52099880
−5.486691788
5.78604E−21
2.77084E−18


91
chr5
52096719
52096738
+
AGG
PELO
chr5
52083774
52099880
−5.468864005
8.8166E−52
1.44721E−47


92
chr5
96518508
96518527
+
AGG
RIOK2
chr5
96496571
96518964
−2.456552248
1.89182E−12
1.04632E−09


93
chr6
13273676
13273695

GGG
PHACTR1
chr6
12717893
13288645
−1.64365509
3.44083E−14
2.28113E−11


94
chr6
135642599
135642618
+
GGG
AHI1
chr6
135604670
135818914
−1.396274517
1.15575E−11
4.50697E−09


95
chr6
135642599
135642618
+
GGG
MYB
chr6
135502453
135540311
−1.396274517
1.15575E−11
4.50697E−09


96
chr6
135644551
135644570
+
TGG
MYB
chr6
135502453
135540311
−2.406371188
7.60863E−12
3.97888E−09


97
chr6
150849962
150849981

TGG
ULBP1
chr6
150285143
150294846
−0.274041877
0.000105494
0.003097959


98
chr6
153303811
153303830

GGG
FBXO5
chr6
153291664
153304714
−4.044506266
1.16332E−13
2.50561E−11


99
chr6
26330594
26330613

TGG
HIST1H1D
chr6
26234440
26235216
−4.084054163
3.3717E−16
9.85392E−14


100
chr6
26330594
26330613

TGG
HIST1H1T
chr6
26107640
26108364
−4.084054163
3.3717E−16
9.85392E−14


101
chr6
26330594
26330613

TGG
HIST1H2AC
chr6
26124373
26139344
−4.084054163
3.3717E−16
9.85392E−14


102
chr6
30582859
30582878
+
TGG
NFKBIL1
chr6
31514647
31526606
−4.623945627
7.0866E−31
2.36483E−27


103
chr6
30582859
30582878
+
TGG
PPP1R10
chr6
30568177
30586389
−4.623945627
7.0866E−31
2.36483E−27


104
chr6
30582859
30582878
+
TGG
XXbac-
chr6
30710706
30711369
−4.623945627
7.0866E−31
2.36483E−27








BPG252P9.10








105
chr6
30690539
30690558

GGG
ATP6V1G2
chr6
31512239
31516204
−3.387411471
3.56752E−24
5.43426E−21


106
chr6
30690539
30690558

GGG
TUBB
chr6
30687978
30693203
−3.387411471
3.56752E−24
5.43426E−21


107
chr6
31466673
31466692

GGG
DHX16
chr6
30620896
30640814
−1.185735621
2.31405E−08
3.31259E−06


108
chr6
31466673
31466692

GGG
MICA
chr6
31371356
31383092
−1.185735621
2.31405E−08
3.31259E−06


109
chr6
31466673
31466692

GGG
MICB
chr6
31462658
31478901
−1.185735621
2.31405E−08
3.31259E−06


110
chr6
31466673
31466692

GGG
PPP1R10
chr6
30568177
30586389
−1.185735621
2.31405E−08
3.31259E−06


111
chr6
33850892
33850911
+
TGG
RP11-
chr6
34664094
34665247
−2.516398914
5.90832E−13
5.92749E−10








140K17.3








112
chr6
41736949
41736968

TGG
FRS3
chr6
41737914
41754280
−0.928362359
2.31747E−07
2.74453E−05


113
chr7
106415349
106415368

AGG
CDHR3
chr7
105517242
105676877
−5.132244174
5.64046E−24
3.83788E−21


114
chr7
106415349
106415368

AGG
RP4-
chr7
107220002
107220502
−5.132244174
5.64046E−24
3.83788E−21








593H12.1








115
chr7
106415349
106415368

AGG
RP5-
chr7
106415457
106436010
−5.132244174
5.64046E−24
3.83788E−21








884M6.1








116
chr7
2511388
2511407
+
GGG
PSMG3
chr7
1606966
1610641
−1.952802165
2.77116E−07
3.90355E−05


117
chr7
44613419
44613438
+
AGG
DDX56
chr7
44605016
44614650
−4.133673733
1.07448E−91
7.28359E−87


118
chr8
10653800
10653819
+
CGG
MSRA
chr8
9911778
10286401
−0.179998978
0.004196968
0.101464575


119
chr9
116036899
116036918
+
AGG
CDC26
chr9
116018115
116037869
−3.962930049
1.08239E−58
2.52042E−54


120
chr9
116036899
116036918
+
AGG
RNF183
chr9
116059373
116065656
−3.962930049
1.08239E−58
2.52042E−54


121
chr9
130470076
130470095

TGG
ENG
chr9
130577291
130617035
−0.78733016
7.37096E−05
0.009765999


122
chr9
132482478
132482497

GGG
RP11-
chr9
131486724
131495473
−0.790115359
2.99498E−07
2.46879E−05








545E17.3








123
chr9
134929647
134929666

CGG
C9orf171
chr9
135285430
135448704
−1.533863746
5.21377E−09
7.70369E−07


124
chr9
139087909
139087928

AGG
INPP5E
chr9
139323071
139334274
−0.904211923
2.35996E−07
2.10281E−05


125
chr9
139087909
139087928

AGG
PTGDS
chr9
139871956
139879887
−0.904211923
2.35996E−07
2.10281E−05


126
chrX
129254624
129254643

GGG
RAB33A
chrX
129305623
129318844
−2.144598052
1.84255E−08
4.75306E−06


127
chrX
152841252
152841271
+
GGG
DUSP9
chrX
152907946
152916781
−2.318799109
1.01668E−07
2.43354E−05


128
chrX
48648021
48648040

TGG
GATA1
chrX
48644962
48652716
−0.266425485
0.000180701
0.005905845


129
chrX
48648021
48648040

TGG
GLOD5
chrX
48620154
48632064
−0.266425485
0.000180701
0.005905845


130
chrX
48648021
48648040

TGG
HDAC6
chrX
48659784
48683392
−0.266425485
0.000180701
0.005905845


131
chrX
48648021
48648040

TGG
PLP2
chrX
49028273
49031588
−0.266425485
0.000180701
0.005905845


132
chrX
48648021
48648040

TGG
SUV39H1
chrX
48553945
48567403
−0.266425485
0.000180701
0.005905845


133
chrX
48648021
48648040

TGG
WAS
chrX
48534985
48549818
−0.266425485
0.000180701
0.005905845


134
chrX
48798027
48798046

TGG
PIM2
chrX
48770459
48776301
−1.630300488
5.53268E−07
0.000113843


135
chrX
69354151
69354170

GGG
IGBP1
chrX
69353299
69386174
−2.649530558
4.33867E−13
1.05411E−10





Chr grna = gRNA chromosome.


Start grna = gRNA start coodinate (in hg19).


End grna = gRNA end coodinate (in hg19).


strand = gRNA strand.


PAM = SpCas9 PAM (NGG).


Gene = HUGO Gene Symbol.


Chr gene = Gene chromosome.


Start gene = Gene end coordinate of the longest isoform annotated in Gencode v22 (in hg19).


End gene = Gene start coordinate of the longest isoform annotated in Gencode v22 (in hg19).


log2FoldChange = log2 fold-change of gRNA enrichment when comparing K562 cells with dCas9-KRAB vs K562 WT cells. A positive value corresponds with gRNAs increasing cells fitness; a negative value indicates gRNAs decreasing cell fitness.


pvalue = gRNA enrichment p-values corresponding to the Wald test performed by DESeq2.


padj = gRNA enrichment adjusted p-values corresponding to the Wald test performed by DESeq2, after correcting multiple hypothesis testing with the Independent Hypothesis Weighting method.













TABLE 19A







gRNAs for use in increasing cell fitness.

















log2Fold


#
DNA encoding gRNA
gRNA
Target
Gene
Change





136
GAACTAGGATCCCACAGGGT
GAACUAGGAUCCCACAGGGU
GAACTAGGATCCCACAGGGTTGG
FADS3
0.311438728



(SEQ ID NO: 192)
(SEQ ID NO: 333)
(SEQ ID NO: 474)







137
GCTTCCTCCTCTCCACTCCT
GCUUCCUCCUCUCCACUCCU
CCCGCTTCCTCCTCTCCACTCCT
RPAP1
0.21770682



(SEQ ID NO: 193)
(SEQ ID NO: 334)
(SEQ ID NO: 475)







138
CAGGTCCTCTCCTATCTCTT
CAGGUCCUCUCCURUCUCUU
CAGGTCCTCTCCTATCTCTTTGG
SLC25A39
0.402017292



(SEQ ID NO: 194)
(SEQ ID NO: 335)
(SEQ ID NO: 476)







139
AACAGTTTAATCAATTAGCG
AACAGUUUAAUCAAUUAGCG
CCTAACAGTTTAATCAATTAGCG
RP13-
0.286876456



(SEQ ID NO: 195)
(SEQ ID NO: 336)
(SEQ ID NO: 477)
20L14.6






140
TACTGAGTCATACCAATGTT
UACUGAGUCAUACCAAUGUU
CCGTACTGAGTCATACCAATGTT
FOXA2
0.209612865



(SEQ ID NO: 196)
(SEQ ID NO: 337)
(SEQ ID NO: 478)







141
TCCATTTCAGTTTATACCAG
UCCAUUUCAGUUUAUACCAG
CCTTCCATTTCAGTTTATACCAG
GMPR
0.236732414



(SEQ ID NO: 197)
(SEQ ID NO: 338)
(SEQ ID NO: 479)





DNA encoding gRNA = Protospacer = gRNA protospacer sequence (20 nt).


Target = gRNA protospacer + PAM for guides in the ′+′ strand; reversed complement of PAM + gRNA protospacer for guides in the ′−′ strand.


Gene = HUGO Gene Symbol.


log2FoldChange = log2 fold-change of gRNA enrichment when comparing K562 cells with dCas9-KRAB vs K562 WT cells. A positive value corresponds with gRNAs increasing cells fitness; a negative value indicates gRNAs decreasing cell fitness.













TABLE 19B







gRNAs for use in increasing cell fitness.




















Chr
Start
End



Chr
Start
End
log2Fold




#
grna
grna
grna
strand
PAM
Gene
gene
gene
gene
Change
pvalue
padj






















136
chr11
61299861
61299880
+
TGG
FADS3
chr11
61640991
61659523
0.311438728
0.000734608
0.02349938


137
chr15
42273690
42273709

GGG
RPAP1
chr15
41809374
41836467
0.21770682
0.000250826
0.00560094


138
chr17
42365788
42365807
+
TGG
SLC25A39
chr17
42396993
42402238
0.402017292
7.08604E−05
0.002744997


139
chr17
81056702
81056721

AGG
RP13-
chr17
80412149
80416397
0.286876456
0.001252739
0.036378654








20L14.6








140
chr20
22392272
22392291

CGG
FOXA2
chr20
22561643
22566093
0.209612865
0.001406984
0.040222606


141
chr6
16215985
16216004

AGG
GMPR
chr6
16238811
16295780
0.236732414
0.00549195
0.126641266





Chr grna = gRNA chromosome.


Start grna = gRNA start coodinate (in hg19).


End grna = gRNA end coodinate (in hg19).


strand = gRNA strand.


PAM = SpCas9 PAM (NGG).


Gene = HUGO Gene Symbol.


Chr gene = Gene chromosome.


Start gene = Gene end coordinate of the longest isoform annotated in Gencode v22 (in hg19).


End gene = Gene start coordinate of the longest isoform annotated in Gencode v22 (in hg19).


log2FoldChange = log2 fold-change of gRNA enrichment when comparing K562 cells with dCas9-KRAB vs K562 WT cells. A positive value corresponds with gRNAs increasing cells fitness; a negative value indicates gRNAs decreasing cell fitness.


pvalue = gRNA enrichment p-values corresponding to the Wald test performed by DESeq2.


padj = gRNA enrichment adjusted p-values corresponding to the Wald test performed by DESeq2, after correcting multiple hypothesis testing with the Independent Hypothesis Weighting method.






As described above, the gRNA molecule comprises a targeting domain (also referred to as targeted or targeting sequence), which is a polynucleotide sequence complementary to the target DNA sequence. The gRNA may comprise a “G” at the 5′ end of the targeting domain or complementary polynucleotide sequence. The CRISPR/Cas9-based gene editing system may use gRNAs of varying sequences and lengths. The targeting domain of a gRNA molecule may comprise at least a 10 base pair, at least a 11 base pair, at least a 12 base pair, at least a 13 base pair, at least a 14 base pair, at least a 15 base pair, at least a 16 base pair, at least a 17 base pair, at least a 18 base pair, at least a 19 base pair, at least a 20 base pair, at least a 21 base pair, at least a 22 base pair, at least a 23 base pair, at least a 24 base pair, at least a 25 base pair, at least a 30 base pair, or at least a 35 base pair complementary polynucleotide sequence of the target DNA sequence followed by a PAM sequence. In certain embodiments, the targeting domain of a gRNA molecule has 19-25 nucleotides in length. In certain embodiments, the targeting domain of a gRNA molecule is 20 nucleotides in length. In certain embodiments, the targeting domain of a gRNA molecule is 21 nucleotides in length. In certain embodiments, the targeting domain of a gRNA molecule is 22 nucleotides in length. In certain embodiments, the targeting domain of a gRNA molecule is 23 nucleotides in length.


The number of gRNA molecules that may be included in the CRISPR/Cas9-based gene editing system can be at least 1 gRNA, at least 2 different gRNAs, at least 3 different gRNAs, at least 4 different gRNAs, at least 5 different gRNAs, at least 6 different gRNAs, at least 7 different gRNAs, at least 8 different gRNAs, at least 9 different gRNAs, at least 10 different gRNAs, at least 11 different gRNAs, at least 12 different gRNAs, at least 13 different gRNAs, at least 14 different gRNAs, at least 15 different gRNAs, at least 16 different gRNAs, at least 17 different gRNAs, at least 18 different gRNAs, at least 18 different gRNAs, at least 20 different gRNAs, at least 25 different gRNAs, at least 30 different gRNAs, at least 35 different gRNAs, at least 40 different gRNAs, at least 45 different gRNAs, or at least 50 different gRNAs. The number of gRNA molecules that may be included in the CRISPR/Cas9-based gene editing system can be less than 50 different gRNAs, less than 45 different gRNAs, less than 40 different gRNAs, less than 35 different gRNAs, less than 30 different gRNAs, less than 25 different gRNAs, less than 20 different gRNAs, less than 19 different gRNAs, less than 18 different gRNAs, less than 17 different gRNAs, less than 16 different gRNAs, less than 15 different gRNAs, less than 14 different gRNAs, less than 13 different gRNAs, less than 12 different gRNAs, less than 11 different gRNAs, less than 10 different gRNAs, less than 9 different gRNAs, less than 8 different gRNAs, less than 7 different gRNAs, less than 6 different gRNAs, less than 5 different gRNAs, less than 4 different gRNAs, less than 3 different gRNAs, or less than 2 different gRNAs. The number of gRNAs that may be included in the CRISPR/Cas9-based gene editing system can be between at least 1 gRNA to at least 50 different gRNAs, at least 1 gRNA to at least 45 different gRNAs, at least 1 gRNA to at least 40 different gRNAs, at least 1 gRNA to at least 35 different gRNAs, at least 1 gRNA to at least 30 different gRNAs, at least 1 gRNA to at least 25 different gRNAs, at least 1 gRNA to at least 20 different gRNAs, at least 1 gRNA to at least 16 different gRNAs, at least 1 gRNA to at least 12 different gRNAs, at least 1 gRNA to at least 8 different gRNAs, at least 1 gRNA to at least 4 different gRNAs, at least 4 gRNAs to at least 50 different gRNAs, at least 4 different gRNAs to at least 45 different gRNAs, at least 4 different gRNAs to at least 40 different gRNAs, at least 4 different gRNAs to at least 35 different gRNAs, at least 4 different gRNAs to at least 30 different gRNAs, at least 4 different gRNAs to at least 25 different gRNAs, at least 4 different gRNAs to at least 20 different gRNAs, at least 4 different gRNAs to at least 16 different gRNAs, at least 4 different gRNAs to at least 12 different gRNAs, at least 4 different gRNAs to at least 8 different gRNAs, at least 8 different gRNAs to at least 50 different gRNAs, at least 8 different gRNAs to at least 45 different gRNAs, at least 8 different gRNAs to at least 40 different gRNAs, at least 8 different gRNAs to at least 35 different gRNAs, 8 different gRNAs to at least 30 different gRNAs, at least 8 different gRNAs to at least 25 different gRNAs, 8 different gRNAs to at least 20 different gRNAs, at least 8 different gRNAs to at least 16 different gRNAs, or 8 different gRNAs to at least 12 different gRNAs.


d. Repair Pathways


The CRISPR/Cas9-based gene editing system may be used to introduce site-specific double strand breaks at targeted genomic loci, such as at a gene regulatory element affecting cellular fitness. Site-specific double-strand breaks are created when the CRISPR/Cas9-based gene editing system binds to a target DNA sequences, thereby permitting cleavage of the target DNA. This DNA cleavage may stimulate the natural DNA-repair machinery, leading to one of two possible repair pathways: homology-directed repair (HDR) or the non-homologous end joining (NHEJ) pathway.


i) Homology-Directed Repair (HDR)


Restoration of protein expression from a gene may involve homology-directed repair (HDR). A donor template may be administered to a cell. The donor template may include a nucleotide sequence encoding a full-functional protein or a partially functional protein. In such embodiments, the donor template may include fully functional gene construct for restoring a mutant gene, or a fragment of the gene that after homology-directed repair, leads to restoration of the mutant gene. In other embodiments, the donor template may include a nucleotide sequence encoding a mutated version of an inhibitory regulatory element of a gene. Mutations may include, for example, nucleotide substitutions, insertions, deletions, or a combination thereof. In such embodiments, introduced mutation(s) into the inhibitory regulatory element of the gene may reduce the transcription of or binding to the inhibitory regulatory element.


ii) Non-Homologous End Joining (NHEJ)


Restoration of protein expression from gene may be through template-free NHEJ-mediated DNA repair. In certain embodiments, NHEJ is a nuclease mediated NHEJ, which in certain embodiments, refers to NHEJ that is initiated a Cas9 molecule that cuts double stranded DNA. The method comprises administering a presently disclosed CRISPR/Cas9-based gene editing system or a composition comprising thereof to a subject for gene editing.


Nuclease mediated NHEJ may correct a mutated target gene and offer several potential advantages over the HDR pathway. For example, NHEJ does not require a donor template, which may cause nonspecific insertional mutagenesis. In contrast to HDR, NHEJ operates efficiently in all stages of the cell cycle and therefore may be effectively exploited in both cycling and post-mitotic cells, such as muscle fibers. This provides a robust, permanent gene restoration alternative to oligonucleotide-based exon skipping or pharmacologic forced read-through of stop codons and could theoretically require as few as one drug treatment.


5. GENETIC CONSTRUCTS

The CRISPR/Cas9-based gene editing system may be encoded by or comprised within one or more genetic constructs. The CRISPR/Cas9-based gene editing system may comprise one or more genetic constructs. The genetic construct, such as a plasmid or expression vector, may comprise a nucleic acid that encodes the CRISPR/Cas9-based gene editing system and/or at least one of the gRNAs. In certain embodiments, a genetic construct encodes one gRNA molecule, i.e., a first gRNA molecule, and optionally a Cas9 molecule or fusion protein. In some embodiments, a genetic construct encodes two gRNA molecules, i.e., a first gRNA molecule and a second gRNA molecule, and optionally a Cas9 molecule or fusion protein. In some embodiments, a first genetic construct encodes one gRNA molecule, i.e., a first gRNA molecule, and optionally a Cas9 molecule or fusion protein, and a second genetic construct encodes one gRNA molecule, i.e., a second gRNA molecule, and optionally a Cas9 molecule or fusion protein. In some embodiments, a first genetic construct encodes one gRNA molecule and one donor sequence, and a second genetic construct encodes a Cas9 molecule or fusion protein. In some embodiments, a first genetic construct encodes one gRNA molecule and a Cas9 molecule or fusion protein, and a second genetic construct encodes one donor sequence.


Genetic constructs may include polynucleotides such as vectors and plasmids. The genetic construct may be a linear minichromosome including centromere, telomeres, or plasmids or cosmids. The vector may be an expression vectors or system to produce protein by routine techniques and readily available starting materials including Sambrook et al., Molecular Cloning and Laboratory Manual, Second Ed., Cold Spring Harbor (1989), which is incorporated fully by reference. The construct may be recombinant. The genetic construct may be part of a genome of a recombinant viral vector, including recombinant lentivirus, recombinant adenovirus, and recombinant adenovirus associated virus. The genetic construct may comprise regulatory elements for gene expression of the coding sequences of the nucleic acid. The regulatory elements may be a promoter, an enhancer, an initiation codon, a stop codon, or a polyadenylation signal.


The genetic construct may comprise heterologous nucleic acid encoding the CRISPR/Cas-based gene editing system and may further comprise an initiation codon, which may be upstream of the CRISPR/Cas-based gene editing system coding sequence, and a stop codon, which may be downstream of the CRISPR/Cas-based gene editing system coding sequence. The genetic construct may include more than one stop codon, which may be downstream of the CRISPR/Cas-based gene editing system coding sequence. In some embodiments, the genetic construct includes 1, 2, 3, 4, or 5 stop codons. In some embodiments, the genetic construct includes 1, 2, 3, 4, or 5 stop codons downstream of the sequence encoding the donor sequence. A stop codon may be in-frame with a coding sequence in the CRISPR/Cas-based gene editing system. For example, one or more stop codons may be in-frame with the donor sequence. The genetic construct may include one or more stop codons that are out of frame of a coding sequence in the CRISPR/Cas-based gene editing system. For example, one stop codon may be in-frame with the donor sequence, and two other stop codons may be included that are in the other two possible reading frames. A genetic construct may include a stop codon for all three potential reading frames. The initiation and termination codon may be in frame with the CRISPR/Cas-based gene editing system coding sequence.


The vector may also comprise a promoter that is operably linked to the CRISPR/Cas-based gene editing system coding sequence. The promoter may be a constitutive promoter, an inducible promoter, a repressible promoter, or a regulatable promoter. The promoter may be a ubiquitous promoter. The promoter may be a tissue-specific promoter. The tissue specific promoter may be a muscle specific promoter. The tissue specific promoter may be a skin specific promoter. The CRISPR/Cas-based gene editing system may be under the light-inducible or chemically inducible control to enable the dynamic control of gene/genome editing in space and time. The promoter operably linked to the CRISPR/Cas-based gene editing system coding sequence may be a promoter from simian virus 40 (SV40), a mouse mammary tumor virus (MMTV) promoter, a human immunodeficiency virus (HIV) promoter such as the bovine immunodeficiency virus (BIV) long terminal repeat (LTR) promoter, a Moloney virus promoter, an avian leukosis virus (ALV) promoter, a cytomegalovirus (CMV) promoter such as the CMV immediate early promoter, Epstein Barr virus (EBV) promoter, or a Rous sarcoma virus (RSV) promoter. The promoter may also be a promoter from a human gene such as human ubiquitin C (hUbC), human actin, human myosin, human hemoglobin, human muscle creatine, or human metalothionein. Examples of a tissue specific promoter, such as a muscle or skin specific promoter, natural or synthetic, are described in U.S. Patent Application Publication No. US20040175727, the contents of which are incorporated herein in its entirety. The promoter may be a CK8 promoter, a Spc512 promoter, a M HCK7 promoter, for example.


The genetic construct may also comprise a polyadenylation signal, which may be downstream of the CRISPR/Cas-based gene editing system. The polyadenylation signal may be a SV40 polyadenylation signal, LTR polyadenylation signal, bovine growth hormone (bGH) polyadenylation signal, human growth hormone (hGH) polyadenylation signal, or human 8-globin polyadenylation signal. The SV40 polyadenylation signal may be a polyadenylation signal from a pCEP4 vector (Invitrogen, San Diego, CA).


Coding sequences in the genetic construct may be optimized for stability and high levels of expression. In some instances, codons are selected to reduce secondary structure formation of the RNA such as that formed due to intramolecular bonding.


The genetic construct may also comprise an enhancer upstream of the CRISPR/Cas-based gene editing system or gRNAs. The enhancer may be necessary for DNA expression. The enhancer may be human actin, human myosin, human hemoglobin, human muscle creatine or a viral enhancer such as one from CMV, HA, RSV, or EBV. Polynucleotide function enhancers are described in U.S. Pat. Nos. 5,593,972, 5,962,428, and WO94/016737, the contents of each are fully incorporated by reference. The genetic construct may also comprise a mammalian origin of replication in order to maintain the vector extrachromosomally and produce multiple copies of the vector in a cell. The genetic construct may also comprise a regulatory sequence, which may be well suited for gene expression in a mammalian or human cell into which the vector is administered. The genetic construct may also comprise a reporter gene, such as green fluorescent protein (“GFP”) and/or a selectable marker, such as hygromycin (“Hygro”).


The genetic construct may be useful for transfecting cells with nucleic acid encoding the CRISPR/Cas-based gene editing system, which the transformed host cell is cultured and maintained under conditions wherein expression of the CRISPR/Cas-based gene editing system takes place. The genetic construct may be transformed or transduced into a cell. The genetic construct may be formulated into any suitable type of delivery vehicle including, for example, a viral vector, lentiviral expression, mRNA electroporation, and lipid-mediated transfection for delivery into a cell. The genetic construct may be part of the genetic material in attenuated live microorganisms or recombinant microbial vectors which live in cells. The genetic construct may be present in the cell as a functioning extrachromosomal molecule.


Further provided herein is a cell transformed or transduced with a system or component thereof as detailed herein. Suitable cell types are detailed herein. In some embodiments, the cell is a stem cell. The stem cell may be a human stem cell. In some embodiments, the cell is an embryonic stem cell. The stem cell may be a human pluripotent stem cell (iPSCs). Further provided are stem cell-derived neurons, such as neurons derived from iPSCs transformed or transduced with a DNA targeting system or component thereof as detailed herein.


a. Viral Vectors


A genetic construct may be a viral vector. Further provided herein is a viral delivery system. Viral delivery systems may include, for example, lentivirus, retrovirus, adenovirus, mRNA electroporation, or nanoparticles. In some embodiments, the vector is a modified lentiviral vector. In some embodiments, the viral vector is an adeno-associated virus (AAV) vector. The AAV vector is a small virus belonging to the genus Dependovirus of the Parvoviridae family that infects humans and some other primate species.


AAV vectors may be used to deliver CRISPR/Cas9-based gene editing systems using various construct configurations. For example, AAV vectors may deliver Cas9 or fusion protein and gRNA expression cassettes on separate vectors or on the same vector. Alternatively, if the small Cas9 proteins or fusion proteins, derived from species such as Staphylococcus aureus or Neisseria meningitidis, are used then both the Cas9 and up to two gRNA expression cassettes may be combined in a single AAV vector. In some embodiments, the AAV vector has a 4.7 kb packaging limit.


In some embodiments, the AAV vector is a modified AAV vector. The modified AAV vector may have enhanced cardiac and/or skeletal muscle tissue tropism. The modified AAV vector may be capable of delivering and expressing the CRISPR/Cas9-based gene editing system in the cell of a mammal. For example, the modified AAV vector may be an AAV-SASTG vector (Piacentino et al. Human Gene Therapy 2012, 23, 635-646, which is incorporated herein by reference in its entirety). The modified AAV vector may be based on one or more of several capsid types, including AAV1, AAV2, AAV5, AAV6, AAV8, and AAV9. The modified AAV vector may be based on AAV2 pseudotype with alternative muscle-tropic AAV capsids, such as AAV2/1, AAV2/6, AAV2/7, AAV2/8, AAV2/9, AAV2.5, and AAV/SASTG vectors that efficiently transduce skeletal muscle or cardiac muscle by systemic and local delivery (Seto et al. Current Gene Therapy 2012, 12, 139-151, which is incorporated herein by reference in its entirety). The modified AAV vector may be AAV2i8G9 (Shen et al. J. Biol. Chem. 2013, 288, 28814-28823, which is incorporated herein by reference in its entirety).


6. PHARMACEUTICAL COMPOSITIONS

Further provided herein are pharmaceutical compositions comprising the above-described genetic constructs or gene editing systems. In some embodiments, the pharmaceutical composition may comprise about 1 ng to about 10 mg of DNA encoding the CRISPR/Cas-based gene editing system. The systems or genetic constructs as detailed herein, or at least one component thereof, may be formulated into pharmaceutical compositions in accordance with standard techniques well known to those skilled in the pharmaceutical art. The pharmaceutical compositions can be formulated according to the mode of administration to be used. In cases where pharmaceutical compositions are injectable pharmaceutical compositions, they are sterile, pyrogen free, and particulate free. An isotonic formulation is preferably used. Generally, additives for isotonicity may include sodium chloride, dextrose, mannitol, sorbitol and lactose. In some cases, isotonic solutions such as phosphate buffered saline are preferred. Stabilizers include gelatin and albumin. In some embodiments, a vasoconstriction agent is added to the formulation.


The composition may further comprise a pharmaceutically acceptable excipient. The pharmaceutically acceptable excipient may be functional molecules as vehicles, adjuvants, carriers, or diluents. The term “pharmaceutically acceptable carrier,” may be a non-toxic, inert solid, semi-solid or liquid filler, diluent, encapsulating material or formulation auxiliary of any type. Pharmaceutically acceptable carriers include, for example, diluents, lubricants, binders, disintegrants, colorants, flavors, sweeteners, antioxidants, preservatives, glidants, solvents, suspending agents, wetting agents, surfactants, emollients, propellants, humectants, powders, pH adjusting agents, and combinations thereof. The pharmaceutically acceptable excipient may be a transfection facilitating agent, which may include surface active agents, such as immune-stimulating complexes (ISCOMS), Freunds incomplete adjuvant, LPS analog including monophosphoryl lipid A, muramyl peptides, quinone analogs, vesicles such as squalene and squalene, hyaluronic acid, lipids, liposomes, calcium ions, viral proteins, polyanions, polycations, or nanoparticles, or other known transfection facilitating agents. The transfection facilitating agent may be a polyanion, polycation, including poly-L-glutamate (LGS), or lipid. The transfection facilitating agent may be poly-L-glutamate, and more preferably, the poly-L-glutamate may be present in the composition for gene editing in skeletal muscle or cardiac muscle at a concentration less than 6 mg/mL.


7. ADMINISTRATION

The systems or genetic constructs as detailed herein, or at least one component thereof, may be administered or delivered to a cell. Methods of introducing a nucleic acid into a host cell are known in the art, and any known method can be used to introduce a nucleic acid (e.g., an expression construct) into a cell. Suitable methods include, for example, viral or bacteriophage infection, transfection, conjugation, protoplast fusion, polycation or lipid:nucleic acid conjugates, lipofection, electroporation, nucleofection, immunoliposomes, calcium phosphate precipitation, polyethyleneimine (PEI)-mediated transfection, DEAE-dextran mediated transfection, liposome-mediated transfection, particle gun technology, calcium phosphate precipitation, direct micro injection, nanoparticle-mediated nucleic acid delivery, and the like. In some embodiments, the composition may be delivered by mRNA delivery and ribonucleoprotein (RNP) complex delivery. The system, genetic construct, or composition comprising the same, may be electroporated using BioRad Gene Pulser Xcell or Amaxa Nucleofector IIb devices or other electroporation device. Several different buffers may be used, including BioRad electroporation solution, Sigma phosphate-buffered saline product #D8537 (PBS), Invitrogen OptiMEM I (OM), or Amaxa Nucleofector solution V (N.V.). Transfections may include a transfection reagent, such as Lipofectamine 2000.


The systems or genetic constructs as detailed herein, or at least one component thereof, or the pharmaceutical compositions comprising the same, may be administered to a subject. Such compositions can be administered in dosages and by techniques well known to those skilled in the medical arts taking into consideration such factors as the age, sex, weight, and condition of the particular subject, and the route of administration. The presently disclosed systems, or at least one component thereof, genetic constructs, or compositions comprising the same, may be administered to a subject by different routes including orally, parenterally, sublingually, transdermally, rectally, transmucosally, topically, intranasal, intravaginal, via inhalation, via buccal administration, intrapleurally, intravenous, intraarterial, intraperitoneal, subcutaneous, intradermally, epidermally, intramuscular, intranasal, intrathecal, intracranial, and intraarticular or combinations thereof. In certain embodiments, the system, genetic construct, or composition comprising the same, is administered to a subject intramuscularly, intravenously, or a combination thereof. The systems, genetic constructs, or compositions comprising the same may be delivered to a subject by several technologies including DNA injection (also referred to as DNA vaccination) with and without in vivo electroporation, liposome mediated, nanoparticle facilitated, recombinant vectors such as recombinant lentivirus, recombinant adenovirus, and recombinant adenovirus associated virus. The composition may be injected into the brain or other component of the central nervous system. The composition may be injected into the skeletal muscle or cardiac muscle. For example, the composition may be injected into the tibialis anterior muscle or tail. For veterinary use, the systems, genetic constructs, or compositions comprising the same may be administered as a suitably acceptable formulation in accordance with normal veterinary practice. The veterinarian may readily determine the dosing regimen and route of administration that is most appropriate for a particular animal. The systems, genetic constructs, or compositions comprising the same may be administered by traditional syringes, needleless injection devices, “microprojectile bombardment gone guns,” or other physical methods such as electroporation (“EP”), “hydrodynamic method”, or ultrasound. Alternatively, transient in vivo delivery of CRISPR/Cas-based systems by non-viral or non-integrating viral gene transfer, or by direct delivery of purified proteins and gRNAs containing cell-penetrating motifs may enable highly specific correction and/or restoration in situ with minimal or no risk of exogenous DNA integration.


Upon delivery of the presently disclosed systems or genetic constructs as detailed herein, or at least one component thereof, or the pharmaceutical compositions comprising the same, and thereupon the vector into the cells of the subject, the transfected cells may express the gRNA molecule(s) and the Cas9 molecule or fusion protein.


a. Cell Types


Any of the delivery methods and/or routes of administration detailed herein can be utilized with a myriad of cell types. Further provided herein is a cell transformed or transduced with a system or component thereof as detailed herein. For example, provided herein is a cell comprising an isolated polynucleotide encoding a CRISPR/Cas9 system as detailed herein. Suitable cell types are detailed herein. In some embodiments, the cell is an immune cell. Immune cells may include, for example, lymphocytes such as T cells and B cells and natural killer (NK) cells. In some embodiments, the cell is a T cell. T cells may be divided into cytotoxic T cells and helper T cells, which are in turn categorized as TH1 or TH2 helper T cells. Immune cells may further include innate immune cells, adaptive immune cells, tumor-primed T cells, NKT cells, IFN-γ producing killer dendritic cells (IKDC), memory T cells (TCMs), and effector T cells (TEs). The cell may be a stem cell such as a human stem cell. In some embodiments, the cell is an embryonic stem cell or a hematopoietic stem cell. The stem cell may be a human induced pluripotent stem cell (iPSCs). Further provided are stem cell-derived neurons, such as neurons derived from iPSCs transformed or transduced with a DNA targeting system or component thereof as detailed herein. The cell may be a muscle cell. Cells may further include, but are not limited to, immortalized myoblast cells, dermal fibroblasts, bone marrow-derived progenitors, skeletal muscle progenitors, human skeletal myoblasts, CD 133+ cells, mesoangioblasts, cardiomyocytes, hepatocytes, chondrocytes, mesenchymal progenitor cells, hematopoietic stem cells, smooth muscle cells, and MyoD- or Pax7-transduced cells, or other myogenic progenitor cells. The cell may be a cancer cell.


8. KITS

Provided herein is a kit, which may be used to modulate cellular fitness. The kit may be used to treat cancer such as leukemia. The kit comprises genetic constructs or a composition comprising the same, as described above, and instructions for using said composition. In some embodiments, the kit comprises at least one gRNA comprising a polynucleotide sequence selected from SEQ ID NO: 198-338, a complement thereof, a variant thereof, or fragment thereof, or at least one gRNA encoded by a polynucleotide comprising a sequence selected from SEQ ID NO: 57-197, a complement thereof, a variant thereof, or fragment thereof, or at least one gRNA targeting a polynucleotide comprising a sequence selected from SEQ ID NO: 339-479, a complement thereof, a variant thereof, or fragment thereof. The kit may further include instructions for using the CRISPR/Cas-based gene editing system.


Instructions included in kits may be affixed to packaging material or may be included as a package insert. While the instructions are typically written on printed materials they are not limited to such. Any medium capable of storing such instructions and communicating them to an end user is contemplated by this disclosure. Such media include, but are not limited to, electronic storage media (e.g., magnetic discs, tapes, cartridges, chips), optical media (e.g., CD ROM), and the like. As used herein, the term “instructions” may include the address of an internet site that provides the instructions.


The genetic constructs or a composition comprising thereof for modifying cellular fitness and/or for treating cancer such as leukemia may include a modified AAV vector that includes a gRNA molecule(s) and a Cas9 protein or fusion protein, as described above, that specifically binds a gene regulatory element as detailed herein.


9. METHODS

a. Methods of Treating Leukemia


Provided herein are methods of treating leukemia in a subject. The methods may include comprising targeting a regulatory element of a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 or modifying (for example, reducing) the expression of a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 in the subject. The method may include administering to the subject an agent as detailed herein, a DNA targeting composition as detailed herein, a polynucleotide sequence as detailed herein, a vector as detailed herein, a cell as detailed herein, or a pharmaceutical composition as detailed herein, or a combination thereof.


b. Methods of Modifying Growth of a Cell


Provided herein are methods of modifying growth of a cell. The methods may include targeting a regulatory element of a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, IGBP1, FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR or modifying the expression of a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-536I6.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, IGBP1, FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR in the cell. The method may include administering to the subject an agent as detailed herein, a DNA targeting composition as detailed herein, a polynucleotide sequence as detailed herein, a vector as detailed herein, a cell as detailed herein, or a pharmaceutical composition as detailed herein, or a combination thereof.


c. Methods of Decreasing Cell Fitness


Provided herein are methods of decreasing cell fitness. The methods may include administering to a cell an agent as detailed herein, a DNA targeting composition as detailed herein, a polynucleotide sequence as detailed herein, or a vector as detailed herein, or a combination thereof. In some embodiments, the expression of a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 is reduced to decrease the cell fitness. In some embodiments, decreasing cell fitness comprises decreasing cell growth rate, decreasing cell growth duration, decreasing cell size, increasing cell death, or a combination thereof.


d. Methods of Increasing Cell Fitness


Provided herein are methods of increasing cell fitness. The methods may include administering to a cell an agent as detailed herein, a DNA targeting composition as detailed herein, a polynucleotide sequence as detailed herein, or a vector as detailed herein, or a combination thereof. In some embodiments, the expression of a gene selected from FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR is reduced to increase the cell fitness. In some embodiments, increasing cell fitness comprises increasing cell growth rate, increasing cell growth duration, increasing cell size, or a combination thereof.


10. EXAMPLES

The foregoing may be better understood by reference to the following examples, which are presented for purposes of illustration and are not intended to limit the scope of the invention. The present disclosure has multiple aspects and embodiments, illustrated by the appended non-limiting examples.


Example 1
Materials and Methods

Plasmids. The lentiviral dCas9-KRAB plasmid (Addgene #83890) was generated by cloning in a P2A-HygroR (APH) cassette after dCas9-KRAB using Gibson assembly (NEB, E2611L). The lentiviral gRNA expression plasmid was cloned by combining a U6-gRNA cassette containing the gRNA-(F+E)-combined scaffold sequence (Chen et al., Cell. 2013, 155, 1479-1491, which is incorporated herein by reference in its entirety) with an EGFP-P2A-PAC or mCherry-P2A-PAC cassette into a lentiviral expression backbone (Addgene #83925) using Gibson assembly. Individual gRNAs were ordered as oligonucleotides (IDT-DNA), phosphorylated, hybridized, and ligated into the EGFP gRNA plasmid or the mCherry gRNA plasmid using BsmBI sites.


Cell Culture. K562 and HEK293T (for lentiviral packaging) cells were obtained from the American Tissue Collection Center (ATCC) via the Duke University Cancer Center Facilities. OCI-AML2 cells were gifted from Anthony Letai at Dana Farber Cancer Institute. K562 and OCIAML2 cells were maintained in RPMI 1640 media supplemented with 10% FBS and 1% penicillin-streptomycin. HEK293T cells were maintained in DMEM High Glucose supplemented with 10% FBS and 1% penicillin-streptomycin. All cell lines were cultured at 37° C. and 5% CO2.


For the genome-wide discovery screen, a clonal K562-dCas9KRAB cell line was used, and generated by transduction of dCas9-KRAB-P2A-HygroR lentivirus with polybrene at a concentration of 8 μg/mL. Cells were selected 2 days post-transduction with Hygromycin B (600 μg/mL, ThermoFisher, 10687010) for 10 days followed by sorting single-cells into 96-well plates with a SH800 sorter (Sony Biotechnology). Individual clones were grown and stained for dCas9KRAB with a Cas9 antibody (Mouse mAb IgG1 clone 7A9-3A3 Alexa Fluor 647 Conjugate, Cell Signaling Technologies, 48796) to assess protein expression. Briefly, 1×106 cells were harvested and washed once with 1×FACS buffer (1% BSA in PBS). The cells were then fixed and permeabilized for 30 minutes at room temperature with 500 μL of fixation and permeabilization buffer (eBioscience Foxp3/TF/nuclear staining kit, ThermoFisher, 00-5523-00). Next, 1 mL of permeabilization buffer was added and cells were pelleted (600 RCF for 5 min) and washed again in 1 mL of permeabilization buffer. Cells were pelleted again and resuspended in 50 μL of permeabilization buffer with 2% mouse serum (Millipore Sigma, M5905) to block for 10 minutes at room temperature. Following blocking, 50 μL of permeabilization buffer with 2% mouse serum and 1 μL of Cas9 antibody was added and allowed to incubate for 30 minutes at room temperature. Following incubation, 1 mL of permeabilization buffer was added, cells were pelleted and washed once more with 1 mL of permeabilization buffer. Finally, cells were resuspended in 1×FACS buffer for analysis. Each clone was analyzed using an Accuri C6 flow cytometer (BD Biosciences). A clone was selected based on high and uniform expression of dCas9KRAB and expanded for further use.


For the secondary sub-library screens, polyclonal K562 and OCI-AML2 cell lines that express the dCas9KRAB repressor were used. Polyclonal lines were used to account for possible hits in the first screen that could be specific to the clonal line used. K562 and OCI-AML2 cells were transduced with dCas9-KRAB-P2A-HygroR lentivirus with polybrene at a concentration of 8 μg/mL. At two days post-transduction, cells were selected for 10 days in Hygromycin B (600 μg/mL). Following selection, polyclonal cells were stained to detect expression of dCas9KRAB protein as described above.


gRNA Library Design. DNase I hypersensitive sites (DHSs) for the K562 cell line were downloaded from encodeproject.org (ENCFF001UWQ) and used to extract genomic sequences as input for gRNA identification. The gt-scan algorithm was used to identify gRNA protospacers within each DHS region and identify possible alignments to other regions of the genome (O'Brien et al., Bioinformatics. 2014, 30, 2673-2675, which is incorporated herein by reference in its entirety). The result was a database containing all possible gRNAs targeting all targetable DHSs in K562 cells and each gRNA's possible off-target locations. gRNAs were selected based on minimizing the number of off-target alignments. For the initial genome-wide library, 1,092,706 gRNAs were selected (see, for example, TABLES S1-S4 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety), targeting 111,756 DHSs (269 DHSs contained no NGG SpCas9 PAM), limited to a maximum of 10 gRNAs per DHS (mean, 9.77 gRNAs per DHS).


For the second sub-library targeting distal non-promoter hits (>3 kb from TSS) identified in the first screen, 234,593 gRNAs were selected (see, for example, TABLES S6 to S13 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety), targeting 8,850 distal DHSs identified as significant (FDR-adjusted p-value <0.1) from the first screen. For each DHS, gRNAs were chosen to be spread evenly across the region by dividing each DHS into bins of 100 bp and selecting up to 7 gRNAs per bin. The gRNAs for each bin were selected in order by the fewest number of off-target alignments calculated by gt-scan. 15,407 non-targeting gRNAs were designed as previously described (Horlbeck et al., eLife. 2016, 5, doi:10.7554/elife.19760, which is incorporated herein by reference in its entirety). A larger number of gRNAs per DHS were designed in the second screen (˜24 per DHS) compared to the first screen (10 per DHS).


All libraries were synthesized by Twist Biosciences and the oligo pools were cloned into the lentiviral gRNA expression plasmid using Gibson assembly as previously described (Klann et al., Curr. Opin. Biotechnol. 2018, 52, 32-41, which is incorporated herein by reference in its entirety). Briefly, oligo pools were amplified across 16 PCRs (100 ng oligo per PCR) with the following primers for 10 cycles using Q5 2×master mix and the following primers:









Fwd:


(SEQ ID NO: 480)


5′-TAACTTGAAAGTATTTCGATTTCTTGGCTTTATATATCTTGTGGAA


AGGACGAAACACCG





Rev:


(SEQ ID NO: 481)


5′-GTTGATAACGGACTAGCCTTATTTAAACTTGCTATGCTGTTTCCAG


CATAGCTCTTAAAC






Pools were gel purified (Qiagen, 28704) and used to assemble plasmid pools with Gibson assembly (NEB, E2611L). Pools were assembled across 16 Gibson assembly reactions (˜900 ng backbone, 1:3 backbone to insert) for the first screen, and 4 reactions for the second sub-library screen.


Lentivirus Production. The lentivirus encoding gRNA libraries or dCas9KRAB was produced by transfecting 5×106 HEK293T cells with the lentiviral gRNA expression plasmid pool or dCas9KRAB plasmid (20 μg), psPAX2 (Addgene, 12260, 15 μg), and pMD2.G (Addgene, 12259, 6 μg) using calcium phosphate precipitation (Salmon P, Trono D. Curr. Protoc. Neurosci. 2006 November; Chapter 4:Unit 4.21. doi: 10.1002/0471142301.ns0421s37. PMID: 18428637, which is incorporated herein by reference in its entirety). After 14-20 hours, the transfection media was exchanged with fresh media. Media containing lentivirus was collected 24 and 48 hours later. Lentiviral supernatant was filtered with a 0.45 μm CA filter (Corning, 430627). The dCas9KRAB lentivirus was concentrated 20× the initial media volume using Lenti-X concentrator (Clontech, 631232), following manufacturer's instructions. The lentivirus encoding gRNA libraries was used unconcentrated.


The titer of the lentivirus containing either the genome-wide library or distal sub-library of gRNAs was determined by transducing 5×105 cells with varying dilutions of lentivirus and measuring the percentage of GFP-positive cells 4 days later using the Accuri C6 flow cytometer (BD Biosciences).


To produce lentivirus for individual gRNA validations, 8×105 cells were transfected with gRNA plasmid (2440 ng), psPAX2 (1830 ng), and pMD2.G (730 ng) using Lipofectamine 3000 following the manufacturer's instructions. After 14 to 20 hours, transfection media was exchanged with fresh media. Media containing produced lentivirus was harvested 24 and 48 hours later, centrifuged for 10 minutes at 800×g, and directly used to transduce cells.


Lentiviral gRNA Screens. For the first genome-wide screen, 1.7×109 cells were transduced with the gRNA library during seeding in 3 L spinner flasks across 4 replicates for controls (K562 cells without dCas9KRAB) and 4 replicates for dCas9KRAB-expressing cells. For sub-library screens, 4.17×108 cells were transduced during seeding in 500 mL spinner flasks across 4 replicates for both controls and dCas9KRAB-expressing cells. Cells were transduced at a multiplicity of infection (MOI) of 0.4 to generate a cell population with >80% of cells harboring only 1 gRNA and 500-fold coverage of each gRNA library. After 2 days, cells were treated with puromycin (Millipore Sigma, P8833) at a concentration of 2 μg/mL. Cells (control and dCas9KRAB-expressing) were selected for 7 days and allowed to grow for a total of 16 days (including 7 days of selection, or ˜14 doublings). Cells were passaged to ensure at least 500× fold coverage of the gRNA library to maintain representation. After culturing, for the genome-wide screen, 5.5×108 K562 cells were harvested for genomic DNA isolation. For the sub-library distal screens in K562 cells or OCI-AML2 cells, 1.5×108 cells were harvested. Genomic DNA was harvested from cells as described (Chen et al., Cell. 2015, 160, 1246-1260, which is incorporated herein by reference in its entirety).


Single-Cell RNA-seq Screen. For the single-cell RNA-seq screen, cells constitutively expressing dCas9KRAB were transduced with a library of gRNAs cloned into the CROP-seq-opti vector (Addgene #106280) in order to capture gRNA information on the 10× platform. The library contains 3,201 total gRNAs consisting of the most significant gRNA for all 3,051 distal DHS hits identified in the second K562 distal sub-library screen, as well as the most significant gRNA for a subset of TSS DHSs as positive controls, and 150 non-targeting gRNAs as negative controls (see, for example, TABLES S16-S17 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety). Cells were transduced at an MOI of ˜7 to achieve multiple integrations of gRNAs per cell, as done previously (Gasperini et al., Cell. 2018, doi:10.1016/j.cell.2018.11.029, which is incorporated herein by reference in its entirety). Cells were grown for 5 days after transfection of the gRNA library and 56,882 cells were collected and barcoded with the 10×3′ v3 chemistry. gRNAs were amplified from barcoded cDNA as described in previously (Gasperini et al., Cell. 2018, doi:10.1016/j.cell.2018.11.029, which is incorporated herein by reference in its entirety). Total transcriptome libraries were sequenced on a NovaSeq S4 flow cell and gRNA-enriched libraries were sequenced on a NextSeq 550 flow cell.


Genomic DNA Sequencing. To amplify the genome-wide gRNA libraries from each sample, 5.25 mg of genomic DNA (gDNA) was used as template across 525×100 μL PCR reactions using Q5 2× Master Mix (NEB, M0492L). For the distal sub-library screens, 1.2 mg of gDNA was used as template across 120 PCR reactions using Q5 2× Master Mix. Amplification was carried out following the manufacturer's instructions using 25 cycles at an annealing temperature of 60° C. using the following primers:









Fwd


(SEQ ID NO: 482)


5′-AATGATACGGCGACCACCGAGATCTACACAATTTCTTGGGTAGTTT


GCAGTT





Rev


(SEQ ID NO: 483)


5′-CAAGCAGAAGACGGCATACGAGAT(6 bp index


sequence)GACTCGGTGCCACTTTTTCAA






Amplified libraries were purified using Agencourt AMPure XP beads (Beckman Coulter, A63881) using double size selection of 0.65× and then to 1× the original volume. Each sample was quantified after purification using the Qubit dsDNA High Sensitivity Assay Kit (ThermoFisher, Q32854). Samples were pooled and sequenced on a HiSeq 4000 or NovaSeq 6000 (IIlumina) at the Duke GCB sequencing core, with 21 bp single read sequencing using the following custom read and index primers:









Read1


(SEQ ID NO: 484)


5′-GATTTCTTGGCTTTATATATCTTGTGGAAAGGACGAAACACCG





Index


(SEQ ID NO: 485)


5′-GCTAGTCCGTTATCAACTTGAAAAAGTGGCACCGAGTC






Data Processing and Differential Expression Analysis of gRNA libraries. To identify and quantify the effects of regulatory element perturbation on cell fitness, gRNA abundance was compared before and after cell growth. Since library size constraints limited the number of gRNAs per DHS and as the effect of any individual gRNA may be subtle, the effects of perturbing each DHS were characterized by four levels of gRNA analyses: 1) individual gRNAs, 2) a sliding window across each DHS in bins of two gRNAs, 3) a sliding window across each DHS in bins of three gRNAs, and 4) grouping all gRNAs in a DHS together (FIG. 1B).


FASTQ files were aligned to custom indexes (generated from the bowtie2-build function) using Bowtie2 (Langmead et al., Nat. Methods. 2012, 9, 357-359, which is incorporated herein by reference in its entirety) (options -p 24 --no-unal --end-to-end --trim3 6 -D 20 -R 3 -N 0 -L 20 -a). Counts for each gRNA were extracted and used for further analysis. All gRNA enrichment analysis was performed using R. For differential expression analysis, the DESeq2 package was used to compare between dCas9KRAB and control (no dCas9KRAB) conditions for each screen.


To summarize enrichment or depletion across a DHS in the first screen, composite scores (wgCERES-top3 score) were generated where the list of gRNAs, bins of 2 gRNAs, or bins of 3 gRNAs for each DHS were sorted by adjusted p-value (ascending order, calculated from DESeq2) and the average of the top three log 2(fold-change) values in each category was calculated. The log 2 (fold-change) averages (or single value for the DHS group) of each analysis category (gRNA/bin2/bin3/DHS) were then summed to calculate the wgCERES-top3 score. For the distal screens, the same procedure was performed except instead of the top 3 gRNAs/bins, the top 5 were averaged since gRNAs were more densely tiled for each DHS (wgCERES-top5 score).


Data Processing and Differential Expression Analysis of Single-Cell RNA-seq Screen. Sequencing data from transcriptome and gRNA libraries generally used distinct pre-processing pipelines, as detailed below. However, for both types of libraries, reads were first demultiplexed using the mkfastq command from 10× Genomics Cell Ranger 3.1.0 with the default configuration and BAM files with transcript counts were generated using the count command and the hg19 reference dataset included in Cell Ranger 3.1.0. At that point, the preprocessing of the transcriptomic data finished.


Custom processing of the gRNA library sequencing data. For the gRNA libraries, properly aligned reads were filtered out, since usable reads should not map against the hg19 transcriptome. BAM files containing unaligned reads were converted into FASTQ files using the bam2fq command in samtools. Next, the custom bowtie2 index from the wgCERES library described above was used to align the reads again using bowtie2. 23 and 48 bp were trimmed from the 5′ and 3′ ends respectively of the reads to remove scaffolding sequences. The full set of bowtie2 params were --trim5 23 --trim3 48 --no-unal --end-to-end -D 15 -R 2 -N 1 -L 18 -i S,1,0 --score-min G,0,0 --ignore-quals. Because of this extra step, we lost the corrected cell barcodes and UMI tags assigned by the cellranger software. Those were recovered by extracting into FASTQ files the optional fields CB for cell barcodes and UB for UMI barcodes, and reassigning these to the BAM files created with the custom bowtie index using the AnnotateBamVVithUmis function in the fgbio package (v.0.8.1). Finally, a custom script (scRNAseq.extract_umi_counts_from_grna_bam.py) was written to extract unique UMI counts per gRNA per cell. The resulting sparse matrix was saved in MarketMatrix format, compatible with existing single-cell RNA-seq software.


Differential expression analysis of single-cell CERES. Both the gRNA library and transcriptomic data were loaded in R using the Read10× function from Seurat v3.1.2 and merged the information in a single Seurat object. gRNAs were assigned to cells by requiring gRNAs to have ≥5 UMI counts and ≥0.5% of the total UMI counts in a cell (library size). Cells with >20% of mitochondrial UMI counts or <10,000 transcript UMIs were filtered out. Transcriptomic UMI counts were normalized using the NormalizeData function with default parameters. Cells with no gRNA assigned were discarded.


For each target gRNA, the FindMarkers function was used to test genes in the ±1 Mb window around the gRNA midpoint. MAST was the test used to recover significant differences in the expression of transcripts from cells containing the gRNA versus all other cells. The union set of all genes tested at least once was used to run the same analysis for non-targeting guides.


Finally, for each target gRNA-gene pair, an empirical p-value was calculated by counting the number of instances in which the observed p-value was larger than those in the non-targeting gRNA-gene pairs.


Permutation analysis. To test whether significant DHS hits clustered at distances that were closer than random chance, 1000 permutations of non-significant DHS sets were generated. Each permutation had the same number of non-significant DHSs as the significant DHS set. Then, the distance for each significant DHS to any non-significant DHS from each permuted set was measured.


Individual gRNA Validations using qRT-PCR, RNA-seq and competition assays. Validation of individual gRNAs in distal (non-promoter) putative regulatory elements were chosen from a list of 81 element-gene connections predicted by the ABC model (Fulco et al., Science. 2016, 354, 769-773, which is incorporated herein by reference in its entirety; Fulco et al., Nature Genetics. 2019, 51, 1664-1669, which is incorporated herein by reference in its entirety) (see, for example, TABLES S14 and S15 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety). These validations were focused on distal DHS hits that also had a corresponding promoter DHS hit of the predicted ABC target gene. From the list of ABC-predicted element-gene connections, several gRNAs corresponding to nearby DHSs that were significant in the wgCERES screen but did not have a predicted gene by ABC were also included.









TABLE S14







23 individual validation gRNAs used for qRT-PCR, RNA-seq, and competition


assays.













Validation Screen


Guide ID
Spacer
ABC Gene
Enriched or Depleted





chr11.1735.21
TAACTGTTACATGAAGACAA
LMO2
depleted



(SEQ ID NO: 486)







chr11.1734.4
TGATTAGGGACAGTTCCCCG
LMO2
depleted



(SEQ ID NO: 487)







chr11.1733.94
CTTGATCCTGAAGGCAACGA
LMO2
depleted



(SEQ ID NO: 488)







chr19.727.22
GTGAGGCAGGAGAGAGAGGG
CELF5
depleted



(SEQ ID NO: 489)







chr19.2258.29
CAACGCTCTTGGGGACCCGC
C19orf53
depleted



(SEQ ID NO: 490)







chr4.1510.19
CGGCCCCCTGGGATCCCCTG
COMMD8
depleted



(SEQ ID NO: 491)







chr16.579.2
CGGGCGTTAGTCCGAGGAGG
C16orf59
depleted



(SEQ ID NO: 492)







chr12.662.25
TGCCAAACTGGAGAGGCCGG
ATF7IP
depleted



(SEQ ID NO: 493)







chr2.1528.50
TGCAAGGGCCAGGCGAGGTC
GALM
depleted



(SEQ ID NO: 494)







chrX.952.16
GGGCAGATAAGGGAATCAGT
GATA1
depleted



(SEQ ID NO: 495)







chrX.2277.6
CCGCCAGAGGGTGCACTAGC
CXorf48
enriched



(SEQ ID NO: 496)







chr6.847.37
TCCATTTCAGTTTATACCAG
GMPR
enriched



(SEQ ID NO: 497)







chr20.2352.1
TACGTCATTCTCGGCTGAGC
CEBPB
enriched



(SEQ ID NO: 498)







chr20.2325.7
AGCCAGTGACCAATGAGACC
CEBPB
enriched



(SEQ ID NO: 499)







chr17.2866.74
CAGCTGGAAGGGTCAGAAGT
SLC4A1
enriched



(SEQ ID NO: 500)







chr17.2866.15
CGGGACGCAGGCCTGGCGTA
SLC4A1
enriched



(SEQ ID NO: 501)







chr12.3340.2
GAAACTGATTCCGAACCAGG
C12orf75
enriched



(SEQ ID NO: 502)







chr11.1723.3
GAGGTTTATTGTGCCCAATG
LMO2
enriched



(SEQ ID NO: 503)







chr17.2862.59
GGTGACTGAGGCCTACAGGC
SLC4A1
enriched



(SEQ ID NO: 504)







chr17.2868.27
AGGAGGAAGACTAGCTAGCC
SLC4A1
enriched



(SEQ ID NO: 505)







chr6.852.11
AGTTCAGGCTTGCTGGTGAG
GMPR
enriched



(SEQ ID NO: 506)







chr6.853.33
GAGGTCCCTGTGTTGGCTCT
GMPR
enriched



(SEQ ID NO: 507)







chr6.854.58
AATATGACAGGAGTGTGGTC
GMPR
enriched



(SEQ ID NO: 508)







nontargeting.15405
CCTCTTCCCGTCCAGCAGTA
NA
nontargeting



(SEQ ID NO: 509)
















TABLE S15







Taqman probes for qRT-PCR validation.








Supplier
Taqman Probe





Thermo Fisher
Catalog #: 4453320



Assay ID: Hs00153473_m1



Gene Symbol: LMO2


Thermo Fisher
Catalog #: 4331182



Assay ID: Hs00254283_m1 Gene



Symbol: CELF5


Thermo Fisher
Catalog #: 4331182



Assay ID: Hs00958839_m1



Gene Symbol: C19orf53


Thermo Fisher
Catalog #: 4448892



Assay ID: Hs01060714_m1



Gene Symbol: COMMD8


Thermo Fisher
Catalog #: 4331182



Assay ID: Hs00228308_m1



Gene Symbol: C16orf59


Thermo Fisher
Catalog #: 4331182



Assay ID: Hs00250569_s1



Gene Symbol: ATF7IP


Thermo Fisher
Catalog #: 4331182



Assay ID: Hs00373403_m1



Gene Symbol: GALM


Thermo Fisher
Catalog #: 4453320



Assay ID: Hs01085823_m1



Gene Symbol: GATA1


Thermo Fisher
Catalog #: 4331182



Assay ID: Hs00250428_m1



Gene Symbol: CT55


Thermo Fisher
Catalog #: 4331182



Assay ID: Hs00199328_m1



Gene Symbol: GMPR


Thermo Fisher
Catalog #: 4453320



Assay ID: Hs00942496_s1



Gene Symbol: CEBPB


Thermo Fisher
Catalog #: 4331182



Assay ID: Hs00978607_g1



Gene Symbol: SLC4A1


Thermo Fisher
Catalog #: 4331182



Assay ID: Hs00329098_m1



Gene Symbol: C12orf75


Thermo Fisher
Catalog #: 4448484



Assay ID: Hs00427620_m1



Gene Symbol: TBP



Dye Label and Assay Concentration: VIC-MGB_PL









The protospacers from the top enriched gRNAs found in each screen (see, for example, TABLES 51 to S13 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety) were ordered as oligonucleotides from IDT and cloned into a lentiviral gRNA expression vector as described earlier. The same modified cell lines used in the corresponding screen were used for the individual gRNA validations. The cells were transduced with individual gRNAs and after 2 days were selected with puromycin (2 μg/mL) for 7 days for the four distal gRNAs not connected with an ABC connection or 4 days for the gRNAs targeting DHSs connected to genes by ABC model predictions.


For all screen validations by qRT-PCR and RNA-seq, mRNA expression analysis was done in triplicate. Total mRNA was harvested from cells and cDNA was generated using the TaqMan Fast Advanced Cells-to-CT kit (ThermoFisher, A35377). qRT-PCR was performed using the TaqMan Fast Advanced Cells-to-CT kit with the FX96 Real-Time PCR Detection System (Bio-Rad) with the TaqMan probes listed in TABLE S15. The results are expressed as fold-increase mRNA expression of the gene of interest normalized to TBP expression by the 44Ct method.


RNA-seq analysis was performed as follows. Raw reads were trimmed to remove adapters and bases with average quality score (Q) (Phred33) of <20 using a 4 bp sliding window (SLIDINGWINDOW:4:20) with Trimmomatic v0.32 (Bolger et al., Bioinformatics. 2014, 30, 2114-2120, which is incorporated herein by reference in its entirety). Trimmed reads were subsequently aligned to the primary assembly of the GRCh37 human genome using STAR v2.4.1a (Dobin et al., Bioinformatics. 2013. 29, 15-21, which is incorporated herein by reference in its entirety). Aligned reads were assigned to genes in the GENCODE v19 comprehensive gene annotation (Harrow et al., Genome Res. 2012, 22, 1760-1774, which is incorporated herein by reference in its entirety) using the featureCounts command in the subread package v1.4.6-p4 with default settings (Liao et al., Nucleic Acids Res. 2013, 41, e108, which is incorporated herein by reference in its entirety). Differential expression analysis was performed using DESeq2 v1.22.0 (Love et al., Genome Biol. 2014, 15, 550, which is incorporated herein by reference in its entirety) in R (v3.5.1). Briefly, raw counts were imported and filtered to remove genes with low or no expression (i.e., keeping genes having counts per million (CPMs) in samples). Filtered counts were then normalized using the DESeq function, which internally uses estimated size factors accounting for library size, estimated gene and global dispersion. To find significantly differentially expressed genes, the nbinomWaldTest was used to test the coefficients in the fitted Negative Binomial GLM using the previously calculated size factors and dispersion estimates. Genes having a Benjamini-Hochberg false discovery rate (FDR) less than 0.05 were considered significant (unless otherwise indicated). Log2 fold-change values were shrunk towards zero using the adaptive shrinkage estimator from the ‘ashr’ R package (Stephens, Biostatistics. 2017, 18, 275-294, which is incorporated herein by reference in its entirety). For estimating transcript abundance, transcripts per million (TPMs) were computed using the rsem-calculate-expression function in the RSEM v1.2.21 package (Li and Dewey, BMC Bioinformatics. 2011, 12, 323, which is incorporated herein by reference in its entirety).


For growth competition assays, 1×106 cells were transduced with lentivirus encoding a single gRNA into polyclonal K562 dCas9KRAB cells. Cells were transduced with either 1) an individual targeting gRNA and GFP or 2) a non-targeting gRNA and mCherry. After 2 days, cells were selected with puromycin (2 μg/mL) for 5 days. After selection, for each validation gRNA, 5×104 GFP-positive cells were seeded with 5×104 mCherry-positive cells expressing the non-targeting gRNA. The percent of GFP- and mCherry-positive cells in each well was assayed 1, 7, and 14 days later using a FACSCanto II flow cytometer (BD Biosciences).


Example 2
Genome-Wide Screen of all Regulatory Elements in K562 Cells

Whole-genome CERES (wgCERES) was used to measure the effect of epigenetically silencing 111,756 putative regulatory elements, defined by DNase-I hypersensitive sites (DHS), on cell fitness in K562 cells (FIGS. 1A-1B and FIG. 7) (ENCODE Project Consortium, Nature. 2012, 489, 57-74, which is incorporated herein by reference in its entirety). K562 cells were assayed because they are one of the most extensively characterized cell models in terms of chromatin accessibility, histone marks, transcription factor binding, and gene expression. The library herein contained 1,092,706 unique gRNAs averaging ˜10 gRNAs per DHS (see, for example, TABLES S1 to S4 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety), and this library was transduced into a clonal K562 cell line stably expressing the dCas9KRAB transcriptional repressor (Gilbert et al., Cell. 2013, 154, 442-451, which is incorporated herein by reference in its entirety; Thakore et al., Nat. Methods. 2015, 12, 1143-1149, which is incorporated herein by reference in its entirety). After ˜14 population doublings, a significant depletion of gRNAs for 7,696 DHSs was identified, indicating that repressing those DHSs impaired cell viability or proliferation (FIGS. 1C-1D and FIG. 8A). 4,566 DHSs with gRNAs or combinations of gRNAs that were significantly enriched were also found, indicating that repressing these elements increased cell fitness (FIG. 1D, FIG. 8B)(see also, for example, TABLE S5 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety). A relatively small number of DHS hits (n=228) contained both enriched and depleted gRNAs (FIG. 1D and FIG. 8C).


Example 3
Attributes of gRNAs that Impact Cell Fitness

Effect sizes for gRNAs that reduced cell fitness were overall greater (average log 2 (fold-change)=−0.91) than those that increased cell fitness (average log 2 (fold-change)=0.48; FIG. 1E). That result is consistent with a model that it is easier to reduce fitness than increase fitness of the rapidly growing K562 cell line.


To better understand the characteristics that distinguish the significantly enriched or depleted gRNAs, each gRNA in the library was annotated with a selection of features (FIG. 9). The gRNAs with significantly changed abundance were enriched for GC content in the protospacer, G4 quadruplex motifs (Rhodes and Lipps, Nucleic Acids Res. 2015, 43, 8627-8637, which is incorporated herein by reference in its entirety; Gray et al., Nat. Chem. Biol. 2014, 10, 313-318, which is incorporated herein by reference in its entirety), nearby genes that were more highly expressed, higher accessibility, higher H3K27ac marks, and higher Hi-C contact frequency (FIG. 9). Additionally, genes nearest to significant gRNAs were enriched for genes previously identified as essential (Hart et al., Cell. 2015, 163, 1515-1526, which is incorporated herein by reference in its entirety; Wang et al., Cell. 2017, 168, 890-903.e15, which is incorporated herein by reference in its entirety) (FIG. 9). These features have been used previously to predict enhancer-gene interactions (Fulco et al., Science. 2016, 354, 769-773, which is incorporated herein by reference in its entirety; Fulco et al., Nature Genetics. 2019, 51, 1664-1669, which is incorporated herein by reference in its entirety), and support the power of this genome-wide screen to identify active regulatory elements associated with the selection criteria described herein.


Example 4
Attributes of Significant OHS Hits

While significant DHS hits are called at a continuum of distances from the nearest gene, the strongest observed signals centered on DHSs that overlapped with transcriptional start sites (TSSs; FIG. 1F). This is consistent with previous studies showing that repressing promoters with dCas9KRAB has a larger effect on gene expression than repressing distal regulatory elements. Although overall scores decrease away from TSSs, some distal DHSs have particularly strong signals, similar to TSS DHS hits. For example, several DHS hits 10 kb-1 Mb upstream of their putative target genes scored similarly to gRNAs that target the promoter of the same gene (FIG. 1G and FIGS. 10A-10C). Some of the distal elements were previously validated in mice to control genes such as the oncogene Lmo2 in erythroid cell lineages. Together, this indicates that wgCERES can identify regulatory elements distal from target genes, and quantify the relative impact of those regulatory elements on cell proliferation.


To identify epigenetic characteristics of DHS that control cell fitness, dimensionality reduction analysis was used, and DHS hits were compared to K562 ChIP-seq data for several histone modifications and epigenome-modifying proteins from the ENCODE project (FIG. 11) (ENCODE Project Consortium, Moore et al., Nature. 2020, 583, 699-710, which is incorporated herein by reference in its entirety). ChromHMM genome annotations (Ernst and Kellis, Nat. Methods. 2012, 9, 215-216, which is incorporated herein by reference in its entirety) was then used to identify classes of regulatory elements that were overrepresented in the enriched or depleted DHS hits (FIG. 1H). Hits in almost every class of annotation were observed, including regions classified as polycomb-repressed (FIGS. 12A-12B). Relative to all DHS sites, depleted DHS hits were overrepresented at active promoters and underrepresented at enhancers and CTCF sites (FIG. 1I). In contrast, enriched DHS hits have similar genomic location characteristics as all DHS (FIG. 1I). Together, these results indicate that promoters, enhancers, insulators, and polycomb-repressed regions can all contribute to cell fitness.


Example 5
Clustering of Significant DHS Hits

Clusters of individual regulatory elements can function together as larger ensembles to coordinate gene expression, as seen with the β-globin locus control region. To determine if DHS hits from this screen cluster together, the distances between adjacent DHS hits were compared. Distances for proximal DHS hits (TSSs; FIG. 13A) and distal DHS hits (>3 kb away from TSS; FIG. 13B) were separately measured. It was observed that DHS hits are significantly closer to each other than expected by chance using permutation analysis (FIG. 13A and FIG. 13B). Dividing the data into deciles (FIG. 13C and FIG. 13D), DHS hits were significantly closer to each other in all but the most distant decile (t-test, p<0.0001). Some clusters included up to 7 significant DHS hits, such as around the HDAC7/VDR locus that is known to be involved in cancer cell proliferation (FIG. 13E). Together, these results indicated that regulatory elements that influence cell fitness tend to cluster. That may be due to coordinated effects on key cell fitness genes and/or the presence of clustered genes that contribute to cell fitness.


Example 6
Validation of Distal Regulatory DNS Hits Using a Secondary Screen

Primary screen hits were validated using both comparisons to previously identified essential genes and a secondary screen targeted to positive hits. For promoter hits, the results herein were compared to other studies of promoter inactivation (Horlbeck et al., eLife. 2016, 5, doi:10.7554/elife.19760, which is incorporated herein by reference in its entirety) or gene disruption (Lenoir et al., Nucleic Acids Res. 2018, 46, D776-D780, which is incorporated herein by reference in its entirety; Wang et al., Cell. 2017, 168, 890-903.e15, which is incorporated herein by reference in its entirety) in K562 cells. The observed promoter hits positively correlated (Pearson p=0.62, Spearman p=0.18) with the promoter CRISPRi screen (Horlbeck et al., eLife. 2016, 5, doi:10.7554/elife.19760, which is incorporated herein by reference in its entirety)(FIG. 14A)(see also, for example, TABLE S5 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety). Overall, ˜400 genes were hits in all four studies (FIG. 14B). That was the most common configuration for overlapping hits, indicating substantial concordance between gene- and promoter-based screens for effects on cell fitness.


The screen herein was distinct from previous efforts in that most of the gRNAs described herein targeted putative distal regulatory elements. To validate and characterize the effects of individual gRNA and DHS hits, a validation screen of 234,593 gRNAs that collectively target 8,850 DHSs was completed, of which 7,188 were hits called at an FDR<0.1 in the initial discovery screen (FIG. 7)(see also, for example, TABLES S5 to S13 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety). Individual gRNA effects in the validation screen had a similar distribution as the original screen, both in terms of effects sizes and that most hits corresponded to a decrease in cell fitness (FIG. 2A)(see also, for example, TABLE S5 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety).


To evaluate performance for single gRNAs, 50,021 individual gRNAs assayed in both the discovery screen and the validation screen were characterized. Of those, 4,087 gRNAs were individually significant hits in the discovery screen at an FDR<0.1, and 1,829 were also significant in the validation screen at an FDR<0.1 (FIG. 2B and FIGS. 15A-15H). The remaining 45,934 gRNAs were included because they were in DHSs that had a significant effect, but the individual gRNA did not. Of the 45,934 gRNAs that were negative in the discovery screen, 43,131 gRNAs were also negative in the validation screen. Together, the validation screen indicated gRNA-level sensitivity of 40% with 45% precision and 95% specificity. Performance of the DHS-level analysis was also evaluated. Of the 8,850 DHS targeted, 7,188 had significant effects at FDR<0.1 in the discovery screen, and 3,532 (49%) positively validated at a more stringent FDR<0.05 in the validation screen.


The validation screen had more significant gRNA hits per DHS (FIGS. 2C-2D), suggesting that increasing the density of gRNAs tested per DHS from 10 to 26 improved detection of regulatory elements that impact cell fitness. That improved detection may be in part due to variation in the effects of gRNAs targeting the same DHS.


Example 7
Functional Validations of Target Genes for OHS Hits by Expression and Competition Assays

To test the effects of distal regulatory elements on target gene expression, the effects of individually targeting dCas9KRAB via 23 gRNAs on the expression of 22 predicted target genes using qRT-PCR were measured (FIG. 3A, FIG. 16)(see also, for example, TABLES S14 and S15 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety). Predicted DHS-gene links were obtained using the Activity-by-Contact (ABC) model (Fulco et al., Nature Genetics. 2019, 51, 1664-1669, which is incorporated herein by reference in its entirety). There were significant changes in predicted target gene expression for 15 of the 23 gRNAs targeting 7 of 13 DHSs. The genes altered by targeting these DHSs include LMO2, GATA1, and GMPR. Previous studies have shown LMO2 and GATA1 are essential for K562 cell growth.


To measure transcriptome-wide effects of a subset of the above-described perturbations, RNA-seq was used. The analyses herein revealed that epigenetic perturbations of individual DHS resulted in many differentially expressed genes, and sometimes the predicted target gene was most affected (FIG. 3B and FIGS. 17A-17E). As one example, the effect of perturbing four different distal DHS hits around the SLC4A1 gene was evaluated, which is a gene involved in differentiation and when mutated causes hereditary spherocytosis and erythrocyte fragility. After perturbing each of these regions, expression of the SLC4A1 gene was the most significantly reduced, and there was also a high correspondence of gene ontology similarities for other significant differentially expressed genes (FIGS. 17A-17E). There were also instances that the ABC predicted target gene was not the most differentially expressed gene (FIGS. 3C-3D, FIGS. 18A-18D, and FIGS. 19A-19I). For example, targeting two DHS hits in an intron of the GMPR gene did not impact GMPR expression, but did impact sets of histone genes 8 Mb away, and overall displayed similar gene ontologies (FIGS. 18A-18D). Indeed, that result may explain why repressing those DHS impacted cell fitness even though GMPR has not been shown to be essential previously.


To further functionally characterize the targeted group of DHS hits, a cell growth competition assay was used to validate whether silencing each distal regulatory element reduces cellular fitness (FIG. 4A). Seven of 10 gRNAs that were depleted in the secondary screen also reduced cell fitness in the competition assay (FIG. 4B). Similarly, all 10 gRNAs that were enriched in the secondary screen also increased cell fitness in the competition assay (FIG. 4C). Therefore, the effect of the epigenetic perturbations on the selected phenotype was robust and reproducible, even if the target gene of the regulatory element was not immediately apparent.


Example 8
Identification of Cell-Type Specific Essential Gene Regulatory Elements

Chromatin accessibility data from 53 different cell types (personal.broadinstitute.org/meuleman/reg2map/) was used to characterize cell type specificity of DHS hits involved in cell fitness in K562 cells. For the significant DHS hits in our screen, most of the regions only overlapped open chromatin in K562 cells, while fewer regions overlapped open chromatin shared across many cell types (FIG. 5A). This suggests that many of the DHS hits identified herein affect fitness in a cell-type specific manner.


To functionally assess the generalizability of essential regulatory elements across cell types, the validation gRNA library used on the chronic myeloid leukemia (CML) K562 cell line was re-purposed (FIGS. 2A-2D) to perform an additional screen in the acute myeloid leukemia (AML) cell line OCI-AML2 (see, for example, TABLES S10-S13 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety). Similar to the results in K562 cells, depleted gRNAs with larger effect sizes in OCI-AM L2 cells were also detected (FIG. 5B). When comparing individual gRNAs between OCI-AML2 and K562 cells, 5,088 gRNAs that are significantly depleted in both cell types were detected, indicating these gRNAs lie in DHSs that are essential across different cancer cell lines (FIG. 5C). 1,855 gRNAs that are significantly depleted only in K562 cells and 15,670 gRNAs significantly depleted only in OCI-AML2 cells were also detected, indicating that OCI-AML2 cells may be more sensitive to regulatory element perturbation. Small numbers of non-targeting guides were also detected in shared and cell type specific hits, representing around 2-5% of the pool of significant gRNAs, which supports our estimates of FDR of 5% (see, for example, TABLES S6-S13 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety). A number of DHS hits overlap with chromatin accessibility that are shared between cell types (FIG. 5D) or are cell type-specific (FIG. 5E), indicating that chromatin accessibility may define essential regulatory element activity.


Example 9
Identification of Regulatory Element Target Genes Using Single Cell Expression

To empirically identify the target genes for the distal regulatory elements detected in these screens, a method that combines single cell RNA-seq readout with CRISPR screens (Gasperini et al., Cell. 2018, doi:10.1016/j.cell.2018.11.029, which is incorporated herein by reference in its entirety; Adamson et al., Cell. 2016, 167, 1867-1882.e21, which is incorporated herein by reference in its entirety; Dixit et al., Cell. 2016, 167, 1853-1866.e17, which is incorporated herein by reference in its entirety; Datlinger et al., Nat. Methods. 2017, 14, 297-301, which is incorporated herein by reference in its entirety; Xie et al., Mol. Cell. 2017, 66, 285-299.e5, which is incorporated herein by reference in its entirety) was adapted, which is referred to herein as single-cell CERES (scCERES). This allows the capture and quantification of all mRNA and gRNA identity on a per-cell basis, enabling the identification of genes that change in response to regulatory element perturbations. For this screen, polyclonal K562 cells constitutively expressing dCas9KRAB were transduced with a library of 3,201 gRNAs (FIG. 7)(see also, for example, TABLES S16 and S17 and as in Klann et al. 2021. “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety) cloned into the opti-CROP-seq plasmid (Gasperini et al., Cell. 2018, doi:10.1016/j.cell.2018.11.029, which is incorporated herein by reference in its entirety; Datlinger et al., Nat. Methods. 2017, 14, 297-301, which is incorporated herein by reference in its entirety) in order to capture gRNA sequence identity on the 10× Genomics platform.


Cells were transduced at an MOI of ˜7 to increase overall library coverage, it was found that each cell contained an average of 8 gRNAs, and each gRNA was represented by an average of 111 cells (FIGS. 20A-20B). After library preparation and sequencing, differential expression analysis was performed by grouping cells that expressed the same gRNA (FIG. 20C). To increase statistical power to detect changes in gene expression, differential expression tests were limited to genes in a 2 megabase window centered on the DHS (FIG. 6A).


Collectively, 992 genes were identified that were affected by perturbing 815 unique regulatory elements. While most genes (N=932) had only a single link to a regulatory element, 52 genes were linked to 2 regulatory elements, and 8 genes were connected to 3 regulatory elements (FIG. 6B). The majority of the regulatory elements (N=638) only affected a single gene. However, perturbation of 177 regulatory elements altered expression of 2 or more genes within the 2 Mb window, including one element that affected 7 genes (FIGS. 6C-6D). Interestingly, this multi-gene affector overlaps a CTCF site, suggesting it may impact a TAD domain (FIG. 6D). DHS hits in polycomb regions that affect genes outside of the polycomb repressed region were also found (FIGS. 12A-12B).


Several gene-regulatory element links were corroborated by validating changes in gene expression by RT-qPCR following delivery of a single gRNA, including the ATF7IP (FIG. 16), GMPR (FIG. 3A), and LMO2 loci (FIGS. 6E-6G). For LMO2, gene-enhancer connections were identified for two regulatory elements ˜60 kb upstream of the LMO2 gene that were among the strongest hits from the initial wgCERES screen (Target 1 and 2; FIG. 6E). Repression of either element by dCas9KRAB led to significantly reduced expression of the LMO2 gene (FIGS. 6E-6F). A third regulatory element (Target 3) in the same cluster did not show statistically significant changes in LMO2 expression by scCERES (FIGS. 6E-6F), but did show comparatively modest repression by RT-qPCR (FIG. 6G). This may represent the need for increased sequencing depth to achieve better sensitivity. Regardless, this single cell readout identifies a substantial number of regulatory elements that are simultaneously linked to both target genes and cell fitness.


Example 10
DISCUSSION

Cancer genetics and the discovery of oncogenic driver mutations has historically been limited to analysis of protein coding sequences because (i) whole-genome sequencing of primary tumors is costly, and (ii) our functional understanding of noncoding genetic variation is still in its infancy. This study is a significant step towards addressing these limitations and realizing the potential of whole genome sequencing for cancer biology. Herein is described a systematic genome-wide screen of all putative regulatory elements in a commonly used cancer cell line and describe their role in cell fitness. Greater than 12,000 regulatory elements were identified herein that have negative or positive impacts on cellular viability and/or proliferation, and ˜1,000 element-gene links that drive this phenotype were reported herein. The data herein provide a rich resource of regulatory element function and connection to target genes that will be broadly useful for understanding gene network regulation and the mechanisms of non-coding element control on gene expression. These characterizations that relate the non-coding genome to cell fitness will identify functional noncoding sequence variants that contribute to cancer phenotypes. These functional annotations also complement the growing body of chromatin conformation maps that provide structural relationships between regulatory elements and genes. Moreover, this work provides a blueprint for executing similar studies in other cell types, genetic backgrounds, environmental conditions, or pharmacologic treatments. In the future, this approach may facilitate the development of methods to predict element-gene relationships and inform efforts to learn the quantitative rules of gene regulation.


Another challenge to implementing genome-wide screens of the non-coding genome is the sheer scale of the experiment, which is dictated by the number of putative elements in any cell type and the required numbers of gRNAs per element and cells per gRNA. As the field of CRISPR-based screens is still in its relative infancy, an important area of future focus is the design of more efficient and sensitive screening methods. For example, the dataset herein may be used to define the properties for effective gRNA design in distal regulatory elements, similar to what has been done for designing optimal gRNA libraries for genes and promoters (Horlbeck et al., eLife. 2016, 5, doi:10.7554/elife.19760, which is incorporated herein by reference in its entirety; Gilbert et al., Cell. 2014, 159, 647-661, which is incorporated herein by reference in its entirety; Konermann et al., Nature. 2015, 517, 583-588, which is incorporated herein by reference in its entirety). The work herein depended on extensive characterization of gRNA libraries targeting these classes of elements. In contrast, relatively little is known about which key gRNA attributes contribute to effective perturbation of distal regulatory elements. The knowledge gained from thousands of gRNAs that impact cellular growth from distal regulatory elements as described herein may facilitate the design of more compact and robust libraries, and enable similar genome-wide screens in cell lines or primary cells that are more difficult to culture at scale.


Many epigenetic modifying drugs used as potential cancer treatments cause widespread changes throughout the genome. However, it is currently unclear what subset of gene regulatory elements drive drug response. Using maps of essential regulatory elements in conjunction with the epigenetic profiles of cells after drug treatment could help identify modifications to specific gene regulatory elements necessary and sufficient for drug response. This may ultimately inform the development of safer and more specific cancer therapies.


One of the loci with the strongest effect on cellular proliferation was the LMO2 locus. This locus is also the location of retroviral insertions in gene therapy patients which lead to increased expression of LMO2 via viral enhancer elements and ultimately led to leukemia. Better understanding the regulatory landscape of these and other types of regions will help elucidate mechanisms of aberrant gene expression and tumorigenesis that will ultimately also inform design, safety monitoring, and regulation of emerging classes of genetic medicines such as gene therapy and genome editing. Therefore, the approach described herein will be a valuable resource to diverse fields of the biomedical research community.


The foregoing description of the specific aspects will so fully reveal the general nature of the invention that others can, by applying knowledge within the skill of the art, readily modify and/or adapt for various applications such specific aspects, without undue experimentation, without departing from the general concept of the present disclosure. Therefore, such adaptations and modifications are intended to be within the meaning and range of equivalents of the disclosed aspects, based on the teaching and guidance presented herein. It is to be understood that the phraseology or terminology herein is for the purpose of description and not of limitation, such that the terminology or phraseology of the present specification is to be interpreted by the skilled artisan in light of the teachings and guidance.


The breadth and scope of the present disclosure should not be limited by any of the above-described exemplary aspects, but should be defined only in accordance with the following claims and their equivalents.


All publications, patents, patent applications, and/or other documents cited in this application are incorporated by reference in their entirety for all purposes to the same extent as if each individual publication, patent, patent application, and/or other document were individually indicated to be incorporated by reference for all purposes.


For reasons of completeness, various aspects of the invention are set out in the following numbered clauses:


Clause 1. A composition for treating leukemia, the composition comprising: a Cas9 protein or a fusion protein, wherein the fusion protein comprises two heterologous polypeptide domains, wherein the first polypeptide domain comprises a Cas9 protein and the second polypeptide domain has an activity selected from the group consisting of transcription activation activity, transcription repression activity, transcription release factor activity, histone modification activity, nuclease activity, nucleic acid association activity, methylase activity, and demethylase activity; and at least one guide RNA (gRNA) that targets the Cas9 protein to a regulatory element of a target gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, IGBP1, FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GM PR.


Clause 2. The composition of clause 1, wherein the gRNA targets the Cas9 protein to a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 339-479.


Clause 3. The composition of clause 1 or 2, wherein the gRNA is encoded by a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 57-197 or comprises a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 198-338.


Clause 4. The composition of any one of clauses 1-3, wherein the composition inhibits cell viability.


Clause 5. The composition of clause 4, wherein the target gene is selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1.


Clause 6. The composition of clause 4 or 5, wherein the gRNA targets the Cas9 protein to a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 339-473.


Clause 7. The composition of any one of clauses 4-6, wherein the gRNA is encoded by a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 57-191 or comprises a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 198-332.


Clause 8. The composition of any one of clauses 1-3, wherein the composition increases cell viability.


Clause 9. The composition of clause 8, wherein the target gene is selected from FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR.


Clause 10. The composition of clause 8 or 9, wherein the gRNA targets the Cas9 protein to a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 474-479.


Clause 11. The composition of any one of clauses 8-10, wherein the gRNA is encoded by a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 192-197 or comprises a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 333-338.


Clause 12. The composition of any one of clauses 1-11, wherein the Cas protein comprises a Streptococcus pyogenes Cas9 protein, a Staphylococcus aureus Cas9 protein, or any fragment thereof.


Clause 13. The composition of any one of clauses 1-12, wherein the Cas9 protein comprises an amino acid sequence having at least 90% or greater identity to a sequence selected from SEQ ID NOs: 20-23, or any fragment thereof, or is encoded by a polynucleotide comprising a sequence having at least 90% or greater identity to a sequence selected from SEQ ID NOs: 24-26, or any fragment thereof.


Clause 14. The composition of clause 13, wherein the Cas9 protein comprises an amino acid sequence having one, two, three, four, five or more changes selected from amino acid substitutions, insertions, or deletions, relative to a sequence selected from SEQ ID NOs: 20-23, or any fragment thereof, or is encoded by a polynucleotide comprising a sequence having one, two, three, four, five or more changes selected from nucleotide substitutions, insertions, or deletions, relative to a sequence selected from SEQ ID NOs: 24-26, or any fragment thereof.


Clause 15. The composition of clause 13, wherein the Cas9 protein comprises the amino acid sequence of SEQ ID NO: 20 or 21 or 22 or 23, or any fragment thereof, or is encoded by a polynucleotide comprising a sequence selected from SEQ ID NOs: 24 or 25 or 26.


Clause 16. The composition of any one of clauses 1-15, wherein the second polypeptide domain comprises a polypeptide selected from VP16, VP64, p65, TET1, VPR, VPH, Rta, p300, p300 core, KRAB, MECP2, EED, ERD, Mad mSIN3 interaction domain (SID), or Mad-SID repressor domain, SID4X repressor, Mxil repressor, SUV39H1, SUV39H2, G9A, ESET/SETBD1, Cir4, Su(var)3-9, Pr-SET7/8, SUV4-20H1, PR-set7, Suv4-20, Set9, EZH2, RIZ1, JMJD2A/JHDM3A, JMJD2B, JMJ2D2C/GASC1, JMJD2D, Rph1, JARID1A/RBP2, JARID1B/PLU-1, JARID1C/SMCX, JARID1D/SMCY, Lid, Jhn2, Jmj2, HDAC1, HDAC2, HDAC3, HDAC8, Rpd3, Hos1, Cir6, HDAC4, HDAC5, HDAC7, HDAC9, Hda1, Cir3, SIRT1, SIRT2, Sir2, Hst1, Hst2, Hst3, Hst4, HDAC11, DNMT1, DNMT3a/3b, DNMT3A-3L, MET1, DRM3, ZMET2, CMT1, CMT2, Laminin A, Laminin B, CTCF, a domain having TATA box binding protein activity, ERF1, and ERF3.


Clause 17. The composition of any one of clauses 1-15, wherein the second polypeptide domain has transcription repression activity.


Clause 18. The composition of clause 17, wherein the second polypeptide domain comprises KRAB.


Clause 19. The composition of clause 18, wherein KRAB comprises an amino acid sequence having at least 90% or greater identity to SEQ ID NO: 55, or any fragment thereof.


Clause 20. The composition of clause 19, wherein KRAB comprises an amino acid sequence having one, two, three, four, five or more changes selected from amino acid substitutions, insertions, or deletions, relative to SEQ ID NO: 55, or any fragment thereof.


Clause 21. The composition of clause 19, wherein KRAB comprises the amino acid sequence of SEQ ID NO: 55, or any fragment thereof.


Clause 22. The composition of any one of clauses 1-21, wherein fusion protein comprises an amino acid sequence having at least 90% or greater identity to SEQ ID NO: 40 or 42, or any fragment thereof.


Clause 23. The composition of clause 22, wherein fusion protein comprises an amino acid sequence having one, two, three, four, five or more changes selected from amino acid substitutions, insertions, or deletions, relative to SEQ ID NO: 40 or 42, or any fragment thereof.


Clause 24. The composition of clause 22, wherein fusion protein comprises the amino acid sequence of SEQ ID NO: 40 or 42, or any fragment thereof.


Clause 25. An isolated polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 57-338.


Clause 26. An isolated polynucleotide sequence encoding the composition of any one of clauses 1-24.


Clause 27. A vector comprising the isolated polynucleotide sequence of clause 25 or 26.


Clause 28. A vector encoding the composition of any one of clauses 1-24.


Clause 29. A cell comprising the composition of any one of clauses 1-24, the isolated polynucleotide sequence of clause 25 or 26, or the vector of clause 27 or 28, or a combination thereof.


Clause 30. A pharmaceutical composition comprising the composition of any one of clauses 1-24, the isolated polynucleotide sequence of clause 25 or 26, the vector of clause 27 or 28, or the cell of clause 29, or a combination thereof.


Clause 31. A method of treating leukemia in a subject, the method comprising targeting a regulatory element of, or modifying the expression of, a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 in the subject.


Clause 32. The method of clause 31, wherein modifying the expression of the gene comprises reducing expression of the gene.


Clause 33. The method of clause 31 or 32, wherein the method comprises administering to the subject the composition of any one of clauses 1-24, the isolated polynucleotide sequence of clause 25 or 26, the vector of clause 27 or 28, the cell of clause 29, or the pharmaceutical composition of clause 30, or a combination thereof.


Clause 34. A method of modifying growth of a cell, the method comprising targeting a regulatory element of, or modifying the expression of, a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, IGBP1, FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR in the cell.


Clause 35. The method of clause 34, wherein the method comprises administering to the cell the composition of any one of clauses 1-24, the isolated polynucleotide sequence of clause 25 or 26, or the vector of clause 27 or 28, or a combination thereof.


Clause 36. A method of decreasing cell fitness, the method comprising targeting a regulatory element of, or modifying the expression of, a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-536I6.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 in the cell.


Clause 37. The method of clause 36, wherein the targeting comprises administering to a cell the composition of any one of clauses 1-24, the isolated polynucleotide sequence of clause 25 or 26, or the vector of clause 27 or 28, or a combination thereof.


Clause 38. The method of clause 36 or 37, wherein decreasing cell fitness comprises decreasing cell growth rate, decreasing cell growth duration, decreasing cell size, increasing cell death, or a combination thereof.


Clause 39. A method of increasing cell fitness, the method comprising targeting a regulatory element of, or modifying the expression of, a gene selected from FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR in the cell.


Clause 40. The method of clause 39, wherein the targeting comprises administering to a cell the composition of any one of clauses 1-24, the isolated polynucleotide sequence of clause 25 or 26, or the vector of clause 27 or 28, or a combination thereof.


Clause 41. The method of clause 39 or 40, wherein increasing cell fitness comprises increasing cell growth rate, increasing cell growth duration, increasing cell size, or a combination thereof.


Legends for TABLES S1-S13 and S17, as in Klann et al. 2021, “Genome-wide annotation of gene regulatory elements linked to cell fitness” bioRxiv doi: 10.1101/2021.03.08.434470, which is incorporated herein by reference in its entirety:












Legend for TABLE S1:








Column
Description





chrom
Chromosome


chromStart
gRNA start coordinate (hg19)


chromEnd
gRNA end coordinate (hg19)


strand
Orientation of the gRNA (positive/forward or negative/reverse)


gRNAid
gRNA identifier in this study. It is constructed as the



{DHS}.{NUM_GUIDE_IN_DHS}


DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be



found in https://www.encodeproject.org/files/ENCFF001UWQ/


protospacer
protospacer DNA sequence targeted by the gRNA


baseMean
Measure of gRNA expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in gRNA expression for treatments over controls



(in log2) [DESeq2]


lfcSE
Standard error in the relative enrichment in gRNA expression for



treatments over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg



(BH) to the weighted p-value assigned by Independent Hypothesis



Weighting (IHW) [DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
gRNA raw counts for control biological replicate 1


ctrl2
gRNA raw counts for control biological replicate 2


ctrl3
gRNA raw counts for control biological replicate 3


ctrl4
gRNA raw counts for control biological replicate 4


rep1
gRNA raw counts for treatment biological replicate 1


rep2
gRNA raw counts for treatment biological replicate 2


rep3
gRNA raw counts for treatment biological replicate 3


rep4
gRNA raw counts for treatment biological replicate 4



















Legend for TABLE S2:








Column
Description





chrom
Chromosome


chromStart
gRNA-bin2 start coordinate (hg19)


chromEnd
gRNA-bin2 end coordinate (hg19)


strand
Orientation of the gRNA-bin2 (positive/forward or negative/reverse)


binID
gRNA-bin2 identifier in this study. It is constructed as the



{DHS}.bin2_{NUM_BIN2_IN_DHS}


DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be



found in https://www.encodeproject.org/files/ENCFF001UWQ/


baseMean
Measure of gRNA-bin2 expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in gRNA-bin2 expression for treatments over



controls (in log2) [DESeq2]


lfcSE
Standard error in the relative enrichment in gRNA-bin2 expression for



treatments over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg



(BH) to the weighted p-value assigned by Independent Hypothesis



Weighting (IHW) [DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
gRNA-bin2 raw counts for control biological replicate 1


ctrl2
gRNA-bin2 raw counts for control biological replicate 2


ctrl3
gRNA-bin2 raw counts for control biological replicate 3


ctrl4
gRNA-bin2 raw counts for control biological replicate 4


rep1
gRNA-bin2 raw counts for treatment biological replicate 1


rep2
gRNA-bin2 raw counts for treatment biological replicate 2


rep3
gRNA-bin2 raw counts for treatment biological replicate 3


rep4
gRNA-bin2 raw counts for treatment biological replicate 4



















Legend for TABLE S3:








Column
Description





chrom
Chromosome


chromStart
gRNA-bin3 start coordinate (hg19)


chromEnd
gRNA-bin3 end coordinate (hg19)


strand
Orientation of the gRNA-bin3 (positive/forward or negative/reverse)


binID
gRNA-bin3 identifier in this study. It is constructed as the



{DHS}.bin3_{NUM_bin3_IN_DHS}


DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found



in https://www.encodeproject.org/files/ENCFF001UWQ/


baseMean
Measure of gRNA-bin3 expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in gRNA-bin3 expression for treatments over controls



(in log2) [DESeq2]


lfcSE
Standard error in the relative enrichment in gRNA-bin3 expression for



treatments over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting



(IHW) [DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
gRNA-bin3 raw counts for control biological replicate 1


ctrl2
gRNA-bin3 raw counts for control biological replicate 2


ctrl3
gRNA-bin3 raw counts for control biological replicate 3


ctrl4
gRNA-bin3 raw counts for control biological replicate 4


rep1
gRNA-bin3 raw counts for treatment biological replicate 1


rep2
gRNA-bin3 raw counts for treatment biological replicate 2


rep3
gRNA-bin3 raw counts for treatment biological replicate 3


rep4
gRNA-bin3 raw counts for treatment biological replicate 4



















Legend for TABLE S4:








Column
Description





DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found in



https://www.encodeproject.org/files/ENCFF001UWQ/


baseMean
Measure of DHS expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in DHS expression for treatments over controls (in log2)



[DESeq2]


lfcSE
Standard error in the relative enrichment in DHS expression for treatments



over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
DHS raw counts for control biological replicate 1


ctrl2
DHS raw counts for control biological replicate 2


ctrl3
DHS raw counts for control biological replicate 3


ctrl4
DHS raw counts for control biological replicate 4


rep1
DHS raw counts for treatment biological replicate 1


rep2
DHS raw counts for treatment biological replicate 2


rep3
DHS raw counts for treatment biological replicate 3


rep4
DHS raw counts for treatment biological replicate 4



















Legend for TABLE S5:








Column
Description





chrom
chromosome number for DHS


chromStart
chromosome start position for DHS


chromEnd
chromosome end position for DHS


name
DHS name


score
Indicates how dark the peak will be displayed in the



browser (0-1000). If all scores were ‘“0”’ when the data



were submitted to the DCC, the DCC assigned scores 1-



1000 based on signal value. Ideally the average



signalValue per base spread is between 100-1000.


strand
+/− to denote strand or orientation (whenever applicable).



Use “.” if no orientation is assigned.


signalValue
Measurement of overall (usually, average) enrichment for



the region.


pValue
Measurement of statistical significance (−log10). Use −1 if



no pValue is assigned.


qValue
Measurement of statistical significance using false



discovery rate (−log10). Use −1 if no qValue is assigned.


peak
Point-source called for this peak; 0-based offset from



chromStart. Use −1 if no point-source called.


gRNA_0_1_wg
Number of significant gRNAs in the DHS (FDR < 0.1)


bin2_0_1_wg
Number of significant bins (2 gRNAs per bin) in the DHS



(FDR < 0.1) All DHSs, whole-genome discovery screen


bin3_0_1_wg
Number of significant bins (3 gRNAs per bin) in the DHS



(FDR < 0.1) All DHSs, whole-genome discovery screen


dhs_0_1_wg
Was DHS (all gRNAs grouped) significant? (1 yes, 0 no)



(FDR < 0.1) All DHSs, whole-genome discovery screen


gRNA_dir_wg
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for gRNA analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.1 All



DHSs, whole-genome discovery screen


bin2_dir_wg
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for bin2 analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.1 All



DHSs, whole-genome discovery screen


bin3_dir_wg
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for bin3 analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.1 All



DHSs, whole-genome discovery screen


dhs_dir_wg
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for DHS analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.1 All



DHSs, whole-genome discovery screen


summary_direction_discovery_K562
Mode of the directions across the 4 analyses (gRNA,



bin2, bin3 and DHS), discovery screen in K562. Possible



values are: depleted, enriched, non-significant (non-sig)



and both.


annotation_wg
genomic location of DHS


gRNA_score_top3_wg
mean of log2 fold changes for the “top” 3 gRNAs in DHS



(ranked by adjusted p-value) All DHSs, whole-genome



discovery screen


bin2_score_top3_wg
mean of log2 fold changes for the “top” 3 bin2s in DHS



(ranked by adjusted p-value) All DHSs, whole-genome



discovery screen


bin3_score_top3_wg
mean of log2 fold changes for the “top” 3 bin3s in DHS



(ranked by adjusted p-value) All DHSs, whole-genome



discovery screen


dhs_score_top3_wg
log2 fold change of DHS (weither significant or not) All



DHSs, whole-genome discovery screen


wgCERES_score_top3_wg
sum of each analysis top3 score (gRNA_score_top3 +



bin2_score_top3 + bin3_score_top3 + dhs_score_top3)



All DHSs, whole-genome discovery screen


geneChr
chromosome of nearest gene


geneStart
start coordinate of nearest gene


geneEnd
end coordinate of nearest gene


geneLength
length of nearest gene


geneStrand
strand of nearest gene


geneId
UCSC id of nearest gene


transcriptId
Entrez GeneID of nearest gene


distanceToTSS
distance to nearest gene TSS


geneSymbol
nearest gene symbol


DHS_length
Length of DHS


DHS_sequence
Sequence of DHS (hg19)


DHS_prop_repeat
Proportion of repetitive sequence in DHS (lower case



DNA sequence)


DHS_prop_GC
Proportion of GCs in the DHS


ploidyZhou
Large scale ploidy of the region according to Zhou et al.



2019 (NA value if ploidy of the region was not reported or



if gRNA overlap two regions with different ploidy)


LossHetZhou
True if region lost heterozygocity according to Zhou et al.



2019, False otherwise


SV_Zhou
True if structural variant overlap DHS according to Zhou



et al. 2019, False otherwise


n_SNV_Zhou
Number of single nucleotide variants that overlap the



DHS according to Zhou et al. 2019


SNV_Zhou
True if single nucleotide variant overlap DHS according to



Zhou et al. 2019, False otherwise


n_SNV_Zhou_per_bp
Number of single nucleotide variants that overlap the



DHS according to Zhou et al. 2019 (normalized for size of



DHS)


probIntolerantLoF
Probability that the closest gene is intolerant to loss of



function (from Exac, Lek et al. Nature 2016)


probIntolerantLoF_gt_0.9
True if probability that the closest gene is intolerant to



loss of function is higher than 0.9


numTKOHits_Hart
number of cell lines in which the gene is essential (from



Hart et al., Cell 2018)


anyTKOHits_Hart
True if number of cell lines in which the gene is essential



(from Hart et al., Cell 2018) is greater than 0


HartEssential
True if genes is essential in more than 2 of the Hart et al.



cell lines (their definition of essential genes, genes with 1



or 2 could be defined as conditionally essential)


OGEE_n_Essential
number of cell lines in which the gene is essential



according to the OGEE database



(http://ogee.medgenius.info)


OGEE_n_NonEssential
number of cell lines in which the gene is non-essential



according to the OGEE database



(http://ogee.medgenius.info)


OGEE_n
number of cell lines in which the gene was tested for



essentiality according to the OGEE database



(http://ogee.medgenius.info)


OGEE_prop_Essential
proportion of cell lines in which the gene is essential



according to the OGEE database



(http://ogee.medgenius.info)


OGEE_prop_NonEssential
proportion of cell lines in which the gene is non-essential



according to the OGEE database



(http://ogee.medgenius.info)


gene_id
Ensembl gene id


medianRNAseqTPM
Median TPM of the mean TPM of 4 ENCODE K562 RNA-



seq experiments (i.e. 4 experiments



(“ENCSR000AEM”, “ENCSR000AEO”, “ENCSR000CPH”,



“ENCSR545DKY”) were done in technical replicates, I



took the mean TPM across replicates for each



experiment, then took the median of the 4 experiments for



genes measured in all four experiments)


cancer_census_tier
cancer tier (https://cancer.sanger.ac.uk/). Tier1: To be



classified into Tier 1, a gene must possess a documented



activity relevant to cancer, Tier2: genes with strong



indications of a role in cancer but with less extensive



available evidence. Value set to 0 for non-cancer genes.


cancer_census_tissue_type
L −> leukaemia/lymphoma, E −> epithelial, M −>



mesenchymal, O −> other, etc..


cancer_census_role
function of gene in cancer (TSG: tumor supressor gene)


vc_sqrt_sum
sum of vc_sqrt (normalised Hi-C) for each extend DHS



(from ABC file). Values are only shown for gRNA entirely



within the extend DHS. If a gRNA entirely overlaps two



extended DHS, the mean is shown.


DNase_CPM_per_1 kbp
DNAse CPM per 1 kbp for each extend DHS (from ABC



file). Values are only shown for gRNA entirely within the



extend DHS. If a gRNA entirely overlaps two (or more)



extended DHS, the mean is shown.


H3K27ac_CPM_per_1 kbp
H3K27ac CPM per 1 kbp for each extend DHS (from ABC



file). Values are only shown for gRNA entirely within the



extend DHS. If a gRNA entirely overlaps two (or more)



extended DHS, the mean is shown.


n_conserved_LindbladToh
Number of base pairs in the DHS that are highly



conserved accross mammals (Lindblad-Toh et al., Nature



2011)


n_conserved_LindbladToh_per_bp
Number of base pairs in the DHS that are highly



conserved accross mammals (Lindblad-Toh et al., Nature



2011) (normalized for size of DHS)


gRNA_0_05_validation_K562
Number of significant gRNAs in the DHS (FDR < 0.05)



sublibrary followup screen in K562s


bin2_0_05_validation_K562
Number of significant bins (2 gRNAs per bin) in the DHS



(FDR < 0.05) sublibrary followup screen in K562s


bin3_0_05_validation_K562
Number of significant bins (3 gRNAs per bin) in the DHS



(FDR < 0.05) sublibrary followup screen in K562s


dhs_0_05_validation_K562
Was DHS (all gRNAs grouped) significant? (1 yes, 0 no)



(FDR < 0.05) sublibrary followup screen in K562s


gRNA_dir_validation_K562
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for gRNA analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.05 All



DHSs, validation screen in K562


bin2_dir_validation_K562
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for bin2 analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.05 All



DHSs, validation screen in K562


bin3_dir_validation_K562
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for bin3 analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.05 All



DHSs, validation screen in K562


dhs_dir_validation_K562
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for DHS analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.05 All



DHSs, validation screen in K562


gRNA_score_top5_validation_K562
mean of log2 fold changes for the “top” 5 gRNAs in DHS



(ranked by adjusted p-value) All DHSs, validation screen



in K562


bin2_score_top5_validation_K562
mean of log2 fold changes for the “top” 5 bin2s in DHS



(ranked by adjusted p-value) All DHSs, validation screen



in K562


bin3_score_top5_validation_K562
mean of log2 fold changes for the “top” 5 bin3s in DHS



(ranked by adjusted p-value) All DHSs, validation screen



in K562


dhs_score_top5_validation_K562
log2 fold change of DHS (weither significant or not) All



DHSs, validation screen in K562


wgCERES_score_top5_validation_K562
sum of each analysis top5 score (gRNA_score_top5 +



bin2_score_top5 + bin3_score_top5 + dhs_score_top5)



validation screen in K562s


summary_direction_validation_K562
Mode of the directions across the 4 analyses (gRNA,



bin2, bin3 and DHS), validation screen in K562


chromHMM_cat_longest
chromHMM automated annotation


segway_cat_longest
segway automated annotation


gRNA_0_05_validation_OCIAML2
Number of significant gRNAs in the DHS (FDR < 0.05)



sublibrary followup screen in OCI-AML2s


bin2_0_05_validation_OCIAML2
Number of significant bins (2 gRNAs per bin) in the DHS



(FDR < 0.05) sublibrary followup screen in OCI-AML2s


bin3_0_05_validation_OCIAML2
Number of significant bins (3 gRNAs per bin) in the DHS



(FDR < 0.05) sublibrary followup screen in OCI-AML2s


dhs_0_05_validation_OCIAML2
Was DHS (all gRNAs grouped) significant? (1 yes, 0 no)



(FDR < 0.05) sublibrary followup screen in OCI-AML2s


gRNA_dir_validation_OCIAML2
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for gRNA analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.05 All



DHSs, validation screen in OCI-AML2


bin2_dir_validation_OCIAML2
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for bin2 analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.05 All



DHSs, validation screen in OCI-AML2


bin3_dir_validation_OCIAML2
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for bin3 analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.05 All



DHSs, validation screen in OCI-AML2


dhs_dir_validation_OCIAML2
Direction of fold change between control (no dCas9-



KRAB) and treated (dCas9-KRAB) for DHS analysis. 0 =



no change, 1 = negative change (depletion), 2 = positive



change (enrichment), 3 = mixed (significant gRNAs or



bins that changed in both directions). FDR < 0.05 All



DHSs, validation screen in OCI-AML2


gRNA_score_top5_validation_OCIAML2
mean of log2 fold changes for the “top” 5 gRNAs in DHS



(ranked by adjusted p-value) All DHSs, validation screen



in OCI-AML2


bin2_score_top5_validation_OCIAML2
mean of log2 fold changes for the “top” 5 bin2s in DHS



(ranked by adjusted p-value) All DHSs, validation screen



in OCI-AML2


bin3_score_top5_validation_OCIAML2
mean of log2 fold changes for the “top” 5 bin3s in DHS



(ranked by adjusted p-value) All DHSs, validation screen



in OCI-AML2


dhs_score_top5_validation_OCIAML2
log2 fold change of DHS (weither significant or not) All



DHSs, validation screen in OCI-AML2


wgCERES_score_top5_validation_OCIAML2
sum of each analysis top5 score (gRNA_score_top5 +



bin2_score_top5 + bin3_score_top5 + dhs_score_top5)



validation screen in OCI-AML2s


summary_direction_validation_OCIAML2
Mode of the directions across the 4 analyses (gRNA,



bin2, bin3 and DHS), validation screen in OCI-AML2



















Legend for TABLE S6:








Column
Description





chrom
Chromosome


chromStart
gRNA start coordinate (hg19)


chromEnd
gRNA end coordinate (hg19)


strand
Orientation of the gRNA (positive/forward or negative/reverse)


gRNAid
gRNA identifier in this study. It is constructed as the



{DHS}.{NUM_GUIDE_IN_DHS}


DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found



in https://www.encodeproject.org/files/ENCFF001UWQ/


protospacer
protspacer DNA sequence targeted by the gRNA


baseMean
Measure of gRNA expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in gRNA expression for treatments over controls (in



log2) [DESeq2]


lfcSE
Standard error in the relative enrichment in gRNA expression for



treatments over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting



(IHW) [DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
gRNA raw counts for control biological replicate 1


ctrl2
gRNA raw counts for control biological replicate 2


ctrl3
gRNA raw counts for control biological replicate 3


ctrl4
gRNA raw counts for control biological replicate 4


rep1
gRNA raw counts for treatment biological replicate 1


rep2
gRNA raw counts for treatment biological replicate 2


rep3
gRNA raw counts for treatment biological replicate 3


rep4
gRNA raw counts for treatment biological replicate 4



















Legend for TABLE S7:








Column
Description





chrom
Chromosome


chromStart
gRNA-bin2 start coordinate (hg19)


chromEnd
gRNA-bin2 end coordinate (hg19)


strand
Orientation of the gRNA-bin2 (positive/forward or negative/reverse)


binID
gRNA-bin2 identifier in this study. It is constructed as the



{DHS}.bin2_{NUM_BIN2_IN_DHS}


DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found in



https://www.encodeproject.org/files/ENCFF001UWQ/


baseMean
Measure of gRNA-bin2 expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in gRNA-bin2 expression for treatments over controls



(in log2) [DESeq2]


lfcSE
Standard error in the relative enrichment in gRNA-bin2 expression for



treatments over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
gRNA-bin2 raw counts for control biological replicate 1


ctrl2
gRNA-bin2 raw counts for control biological replicate 2


ctrl3
gRNA-bin2 raw counts for control biological replicate 3


ctrl4
gRNA-bin2 raw counts for control biological replicate 4


rep1
gRNA-bin2 raw counts for treatment biological replicate 1


rep2
gRNA-bin2 raw counts for treatment biological replicate 2


rep3
gRNA-bin2 raw counts for treatment biological replicate 3


rep4
gRNA-bin2 raw counts for treatment biological replicate 4



















Legend for TABLE S8:








Column
Description





chrom
Chromosome


chromStart
gRNA-bin3 start coordinate (hg19)


chromEnd
gRNA-bin3 end coordinate (hg19)


strand
Orientation of the gRNA-bin3 (positive/forward or negative/reverse)


binID
gRNA-bin3 identifier in this study. It is constructed as the



{DHS}.bin3_{NUM_bin3_IN_DHS}


DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found in



https://www.encodeproject.org/files/ENCFF001UWQ/


baseMean
Measure of gRNA-bin3 expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in gRNA-bin3 expression for treatments over controls



(in log2) [DESeq2]


lfcSE
Standard error in the relative enrichment in gRNA-bin3 expression for



treatments over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
gRNA-bin3 raw counts for control biological replicate 1


ctrl2
gRNA-bin3 raw counts for control biological replicate 2


ctrl3
gRNA-bin3 raw counts for control biological replicate 3


ctrl4
gRNA-bin3 raw counts for control biological replicate 4


rep1
gRNA-bin3 raw counts for treatment biological replicate 1


rep2
gRNA-bin3 raw counts for treatment biological replicate 2


rep3
gRNA-bin3 raw counts for treatment biological replicate 3


rep4
gRNA-bin3 raw counts for treatment biological replicate 4



















Legend for TABLE S9:








Column
Description





DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found in



https://www.encodeproject.org/files/ENCFF001UWQ/


baseMean
Measure of DHS expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in DHS expression for treatments over controls (in log2)



[DESeq2]


lfcSE
Standard error in the relative enrichment in DHS expression for treatments



over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
DHS raw counts for control biological replicate 1


ctrl2
DHS raw counts for control biological replicate 2


ctrl3
DHS raw counts for control biological replicate 3


ctrl4
DHS raw counts for control biological replicate 4


rep1
DHS raw counts for treatment biological replicate 1


rep2
DHS raw counts for treatment biological replicate 2


rep3
DHS raw counts for treatment biological replicate 3


rep4
DHS raw counts for treatment biological replicate 4



















Legend for TABLE S10:








Column
Description





chrom
Chromosome


chromStart
gRNA start coordinate (hg19)


chromEnd
gRNA end coordinate (hg19)


strand
Orientation of the gRNA (positive/forward or negative/reverse)


gRNAid
gRNA identifier in this study. It is constructed as the



{DHS}.{NUM_GUIDE_IN_DHS}


DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found in



https://www.encodeproject.org/files/ENCFF001UWQ/


protospacer
protspacer DNA sequence targeted by the gRNA


baseMean
Measure of gRNA expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in gRNA expression for treatments over controls (in



log2) [DESeq2]


lfcSE
Standard error in the relative enrichment in gRNA expression for treatments



over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
gRNA raw counts for control biological replicate 1


ctrl2
gRNA raw counts for control biological replicate 2


ctrl3
gRNA raw counts for control biological replicate 3


ctrl4
gRNA raw counts for control biological replicate 4


rep1
gRNA raw counts for treatment biological replicate 1


rep2
gRNA raw counts for treatment biological replicate 2


rep3
gRNA raw counts for treatment biological replicate 3


rep4
gRNA raw counts for treatment biological replicate 4



















Legend for TABLE S11:








Column
Description





chrom
Chromosome


chromStart
gRNA-bin2 start coordinate (hg19)


chromEnd
gRNA-bin2 end coordinate (hg19)


strand
Orientation of the gRNA-bin2 (positive/forward or negative/reverse)


binID
gRNA-bin2 identifier in this study. It is constructed as the



{DHS}.bin2_{NUM_BIN2_IN_DHS}


DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found in



https://www.encodeproject.org/files/ENCFF001UWQ/


baseMean
Measure of gRNA-bin2 expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in gRNA-bin2 expression for treatments over controls



(in log2) [DESeq2]


lfcSE
Standard error in the relative enrichment in gRNA-bin2 expression for



treatments over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
gRNA-bin2 raw counts for control biological replicate 1


ctrl2
gRNA-bin2 raw counts for control biological replicate 2


ctrl3
gRNA-bin2 raw counts for control biological replicate 3


ctrl4
gRNA-bin2 raw counts for control biological replicate 4


rep1
gRNA-bin2 raw counts for treatment biological replicate 1


rep2
gRNA-bin2 raw counts for treatment biological replicate 2


rep3
gRNA-bin2 raw counts for treatment biological replicate 3


rep4
gRNA-bin2 raw counts for treatment biological replicate 4



















Legend for TABLE S12:








Column
Description





chrom
Chromosome


chromStart
gRNA-bin3 start coordinate (hg19)


chromEnd
gRNA-bin3 end coordinate (hg19)


strand
Orientation of the gRNA-bin3 (positive/forward or negative/reverse)


binID
gRNA-bin3 identifier in this study. It is constructed as the



{DHS}.bin3_{NUM_bin3_IN_DHS}


DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found in



https://www.encodeproject.org/files/ENCFF001UWQ/


baseMean
Measure of gRNA-bin3 expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in gRNA-bin3 expression for treatments over controls



(in log2) [DESeq2]


lfcSE
Standard error in the relative enrichment in gRNA-bin3 expression for



treatments over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
gRNA-bin3 raw counts for control biological replicate 1


ctrl2
gRNA-bin3 raw counts for control biological replicate 2


ctrl3
gRNA-bin3 raw counts for control biological replicate 3


ctrl4
gRNA-bin3 raw counts for control biological replicate 4


rep1
gRNA-bin3 raw counts for treatment biological replicate 1


rep2
gRNA-bin3 raw counts for treatment biological replicate 2


rep3
gRNA-bin3 raw counts for treatment biological replicate 3


rep4
gRNA-bin3 raw counts for treatment biological replicate 4



















Legend for TABLE S13:








Column
Description





DHS
DHS identifier. It refers to the unique Dnaseq-seq peak and can be found in



https://www.encodeproject.org/files/ENCFF001UWQ/


baseMean
Measure of DHS expression across all conditions [DESeq2]


log2FoldChange
Relative enrichment in DHS expression for treatments over controls (in log2)



[DESeq2]


lfcSE
Standard error in the relative enrichment in DHS expression for treatments



over controls (in log2) [DESeq2]


stat
Wald test statistic (log2FoldChange/lfcSE) [DESeq2]


pvalue
Two tailed p-value generated by comparing Wald statistics to a Normal



distribution,


padj
Adjusted p-value by applying the procedure of Benjamini Hochberg (BH) to



the weighted p-value assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


weight
P-value weight assigned by Independent Hypothesis Weighting (IHW)



[DESeq2]


ctrl1
DHS raw counts for control biological replicate 1


ctrl2
DHS raw counts for control biological replicate 2


ctrl3
DHS raw counts for control biological replicate 3


ctrl4
DHS raw counts for control biological replicate 4


rep1
DHS raw counts for treatment biological replicate 1


rep2
DHS raw counts for treatment biological replicate 2


rep3
DHS raw counts for treatment biological replicate 3


rep4
DHS raw counts for treatment biological replicate 4



















Legend for TABLE S17:








Column
Description





p_val
P-value associated with the enrichement of a given gene,



estimated by MAST (PMID: 26653891)


avg_logFC
log fold-chage of the average expression between the two



groups. Positive values indicate that the gene is more highly



expressed in the first group


pct.1
The percentage of cells where the gene is detected in the first



group of cells where the gRNA is estimated to be present


pct.2
The percentage of cells where the gene is detected in the



second group of cells where the gRNA is estimated to not be



present


p_val_adj
Bonferroni corrected p-value, using the number of genes



overlapping the +/−1 Mb window around the gRNA


pval_fdr_corrected
Adjusted p-value by applying the procedure of Benjamini



Hochberg (BH)


grna
gRNA ID followed by the protospacer sequence


gene_symbol
Gene symbol


pval_empirical
Empirical p-value using the p-values from all nontargeting



gRNAs and the union set of genes in all +/−1 Mb windows



around all gRNAs tested.


chrom
Chromosome


start
gRNA start coordinate (hg19)


end
gRNA end coordinate (hg19)


strand
Orientation of the gRNA-bin2 (positive/forward or



negative/reverse)


dhs_id
DHS identifier. It refers to the unique Dnaseq-seq peak and can



be found in



https://www.encodeproject.org/files/ENCFF001UWQ/


dhs_chrom
DHS raw counts for treatment biological replicate 4


dhs_start
DHS start coordinate (hg19)


dhs_end
DHS end coordinate (hg19)


distance_to_tss_of_linked_gene
Distance from the midpoint of the gRNA to the TSS of the target



gene





















SEQ ID NO: 1


NRG (R = A or G; N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 2


NGG (N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 3


NAG (N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 4


NGGNG (N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 5


NNAGAAW (W = A or T; N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 6


NAAR (R = A or G; N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 7


NNGRR (R = A or G; N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 8


NNGRRN (R = A or G; N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 9


NNGRRT (R = A or G; N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 10


NNGRRV (R = A or G; N can be any nucleotide residue, e.g., any of A, G, C, or T; V = A or


C or G)





SEQ ID NO: 11


NNNNGATT (N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 12


NNNNGNNN (N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 13


NGA (N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 14


NNNRRT (R = A or G; N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 15


ATTCCT





SEQ ID NO: 16


NGAN (N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 17


NGNG (N can be any nucleotide residue, e.g., any of A, G, C, or T)





SEQ ID NO: 18


DNA sequence of the gRNA constant region


gtttaagagctatgctggaaacagcatagcaagtttaaataaggctagtccgttatcaacttgaaaaagt


ggcaccgagtcggtgc





SEQ ID NO: 19


RNA sequence of the gRNA constant region


guuuaagagcuaugcuggaaacagcauagcaaguuuaaauaaggcuaguccguuaucaacuugaaaaagu


ggcaccgagucggugc





SEQ ID NO: 20



Streptococcus pyogenes Cas9



MDKKYSIGLDIGTNSVGWAVITDEYKVPSKKFKVLGNTDRHSIKKNLIGALLFDSGETAEATRLKRTARR


RYTRRKNRICYLQEIFSNEMAKVDDSFFHRLEESELVEEDKKHERHPIFGNIVDEVAYHEKYPTIYHLRK


KLVDSTDKADLRLIYLALAHMIKERGHFLIEGDLNPDNSDVDKLFIQLVQTYNQLFEENPINASGVDAKA


ILSARLSKSRRLENLIAQLPGEKKNGLFGNLIALSLGLTPNEKSNEDLAEDAKLQLSKDTYDDDLDNLLA


QIGDQYADLFLAAKNLSDAILLSDILRVNTEITKAPLSASMIKRYDEHHQDLTLLKALVRQQLPEKYKEI


FFDQSKNGYAGYIDGGASQEEFYKFIKPILEKMDGTEELLVKLNREDLLRKQRTEDNGSIPHQIHLGELH


AILRRQEDFYPFLKDNREKIEKILTFRIPYYVGPLARGNSRFAWMTRKSEETITPWNFEEVVDKGASAQS


FIERMTNFDKNLPNEKVLPKHSLLYEYFTVYNELTKVKYVTEGMRKPAFLSGEQKKAIVDLLEKTNRKVT


VKQLKEDYFKKIECFDSVEISGVEDRFNASLGTYHDLLKIIKDKDELDNEENEDILEDIVLTLTLFEDRE


MIEERLKTYAHLEDDKVMKQLKRRRYTGWGRLSRKLINGIRDKQSGKTILDELKSDGFANRNEMQLIHDD


SLTFKEDIQKAQVSGQGDSLHEHIANLAGSPAIKKGILQTVKVVDELVKVMGRHKPENIVIEMARENQTT


QKGQKNSRERMKRIEEGIKELGSQILKEHPVENTQLQNEKLYLYYLQNGRDMYVDQELDINRLSDYDVDH


IVPQSFLKDDSIDNKVLTRSDKNRGKSDNVPSEEVVKKMKNYWRQLLNAKLITQRKEDNLTKAERGGLSE


LDKAGFIKRQLVETRQITKHVAQILDSRMNTKYDENDKLIREVKVITLKSKLVSDERKDFQFYKVREINN


YHHAHDAYLNAVVGTALIKKYPKLESEFVYGDYKVYDVRKMIAKSEQEIGKATAKYFFYSNIMNFFKTEI


TLANGEIRKRPLIETNGETGEIVWDKGRDFATVRKVLSMPQVNIVKKTEVQTGGFSKESILPKRNSDKLI


ARKKDWDPKKYGGFDSPTVAYSVLVVAKVEKGKSKKLKSVKELLGITIMERSSFEKNPIDFLEAKGYKEV


KKDLIIKLPKYSLFELENGRKRMLASAGELQKGNELALPSKYVNFLYLASHYEKLKGSPEDNEQKQLEVE


QHKHYLDEIIEQISEFSKRVILADANLDKVLSAYNKHRDKPIREQAENIIHLFTLTNLGAPAAFKYEDTT


IDRKRYTSTKEVLDATLIHQSITGLYETRIDLSQLGGD





SEQ ID NO: 21



Staphylococcus aureus Cas9



MKRNYILGLDIGITSVGYGIIDYETRDVIDAGVRLFKEANVENNEGRRSKRGARRLKRRRRHRIQRVKKL


LEDYNLLTDHSELSGINPYEARVKGLSQKLSEEEFSAALLHLAKRRGVHNVNEVEEDTGNELSTKEQISR


NSKALEEKYVAELQLERLKKDGEVRGSINRFKTSDYVKEAKQLLKVQKAYHQLDQSFIDTYIDLLETRRT


YYEGPGEGSPFGWKDIKEWYEMLMGHCTYFPEELRSVKYAYNADLYNALNDLNNLVITRDENEKLEYYEK


FQIIENVFKQKKKPTLKQIAKEILVNEEDIKGYRVTSTGKPEFTNLKVYHDIKDITARKEIIENAELLDQ


IAKILTIYQSSEDIQEELTNLNSELTQEEIEQISNLKGYTGTHNLSLKAINLILDELWHTNDNQIAIENR


LKLVPKKVDLSQQKEIPTTLVDDFILSPVVKRSFIQSIKVINAIIKKYGLPNDIIIELAREKNSKDAQKM


INEMQKRNRQTNERIEEIIRTTGKENAKYLIEKIKLHDMQEGKCLYSLEAIPLEDLLNNPENYEVDHIIP


RSVSFDNSFNNKVLVKQEENSKKGNRTPFQYLSSSDSKISYETFKKHILNLAKGKGRISKTKKEYLLEER


DINRFSVQKDFINRNLVDTRYATRGLMNLLRSYFRVNNLDVKVKSINGGFTSELRRKWKFKKERNKGYKH


HAEDALIIANADFIFKEWKKLDKAKKVMENQMFEEKQAESMPEIETEQEYKEIFITPHQIKHIKDEKDYK


YSHRVDKKPNRELINDTLYSTRKDDKGNTLIVNNLNGLYDKDNDKLKKLINKSPEKLLMYHHDPQTYQKL


KLIMEQYGDEKNPLYKYYEETGNYLTKYSKKDNGPVIKKIKYYGNKLNAHLDITDDYPNSRNKVVKLSLK


PYRFDVYLDNGVYKFVTVKNLDVIKKENYYEVNSKCYEEAKKLKKISNQAEFIASFYNNDLIKINGELYR


VIGVNNDLLNRIEVNMIDITYREYLENMNDKRPPRIIKTIASKTQSIKKYSTDILGNLYEVKSKKHPQII


KKG





SEQ ID NO: 22



Streptococcus pyogenes Cas9 (with D10A)



MDKKYSIGLAIGTNSVGWAVITDEYKVPSKKFKVLGNTDRHSIKKNLIGALLFDSGETAEATRLKRTARR


RYTRRKNRICYLQEIFSNEMAKVDDSFFHRLEESELVEEDKKHERHPIFGNIVDEVAYHEKYPTIYHLRK


KLVDSTDKADLRLIYLALAHMIKERGHFLIEGDLNPDNSDVDKLFIQLVQTYNQLFEENPINASGVDAKA


ILSARLSKSRRLENLIAQLPGEKKNGLFGNLIALSLGLTPNEKSNEDLAEDAKLQLSKDTYDDDLDNLLA


QIGDQYADLFLAAKNLSDAILLSDILRVNTEITKAPLSASMIKRYDEHHQDLTLLKALVRQQLPEKYKEI


FFDQSKNGYAGYIDGGASQEEFYKFIKPILEKMDGTEELLVKLNREDLLRKQRTEDNGSIPHQIHLGELH


AILRRQEDFYPELKDNREKIEKILTFRIPYYVGPLARGNSRFAWMTRKSEETITPWNFEEVVDKGASAQS


FIERMTNFDKNLPNEKVLPKHSLLYEYFTVYNELTKVKYVTEGMRKPAFLSGEQKKAIVDLLEKTNRKVT


VKQLKEDYFKKIECFDSVEISGVEDRFNASLGTYHDLLKIIKDKDELDNEENEDILEDIVLTLTLFEDRE


MIEERLKTYAHLFDDKVMKQLKRRRYTGWGRLSRKLINGIRDKQSGKTILDFLKSDGFANRNFMQLIHDD


SLTFKEDIQKAQVSGQGDSLHEHIANLAGSPAIKKGILQTVKVVDELVKVMGRHKPENIVIEMARENQTT


QKGQKNSRERMKRIEEGIKELGSQILKEHPVENTQLQNEKLYLYYLQNGRDMYVDQELDINRLSDYDVDH


IVPQSFLKDDSIDNKVLTRSDKNRGKSDNVPSEEVVKKMKNYWRQLLNAKLITQRKEDNLTKAERGGLSE


LDKAGFIKRQLVETRQITKHVAQILDSRMNTKYDENDKLIREVKVITLKSKLVSDFRKDFQFYKVREINN


YHHAHDAYLNAVVGTALIKKYPKLESEFVYGDYKVYDVRKMIAKSEQEIGKATAKYFFYSNIMNFFKTEI


TLANGEIRKRPLIETNGETGEIVWDKGRDFATVRKVLSMPQVNIVKKTEVQTGGFSKESILPKRNSDKLI


ARKKDWDPKKYGGFDSPTVAYSVLVVAKVEKGKSKKLKSVKELLGITIMERSSFEKNPIDFLEAKGYKEV


KKDLIIKLPKYSLFELENGRKRMLASAGELQKGNELALPSKYVNFLYLASHYEKLKGSPEDNEQKQLFVE


QHKHYLDEIIEQISEFSKRVILADANLDKVLSAYNKHRDKPIREQAENIIHLFTLTNLGAPAAFKYEDTT


IDRKRYTSTKEVLDATLIHQSITGLYETRIDLSQLGGD





SEQ ID NO: 23



Streptococcus pyogenes Cas9 (with D10A, H849A)



MDKKYSIGLAIGTNSVGWAVITDEYKVPSKKFKVLGNTDRHSIKKNLIGALLEDSGETAEATRLKRTARR


RYTRRKNRICYLQEIFSNEMAKVDDSFFHRLEESELVEEDKKHERHPIFGNIVDEVAYHEKYPTIYHLRK


KLVDSTDKADLRLIYLALAHMIKERGHFLIEGDLNPDNSDVDKLFIQLVQTYNQLFEENPINASGVDAKA


ILSARLSKSRRLENLIAQLPGEKKNGLFGNLIALSLGLTPNEKSNFDLAEDAKLQLSKDTYDDDLDNLLA


QIGDQYADLFLAAKNLSDAILLSDILRVNTEITKAPLSASMIKRYDEHHQDLTLLKALVRQQLPEKYKEI


FFDQSKNGYAGYIDGGASQEEFYKFIKPILEKMDGTEELLVKLNREDLLRKQRTEDNGSIPHQIHLGELH


AILRRQEDFYPELKDNREKIEKILTFRIPYYVGPLARGNSRFAWMTRKSEETITPWNFEEVVDKGASAQS


FIERMTNFDKNLPNEKVLPKHSLLYEYFTVYNELTKVKYVTEGMRKPAFLSGEQKKAIVDLLEKTNRKVT


VKQLKEDYFKKIECFDSVEISGVEDRFNASLGTYHDLLKIIKDKDELDNEENEDILEDIVLTLTLFEDRE


MIEERLKTYAHLEDDKVMKQLKRRRYTGWGRLSRKLINGIRDKQSGKTILDELKSDGFANRNEMQLIHDD


SLTFKEDIQKAQVSGQGDSLHEHIANLAGSPAIKKGILQTVKVVDELVKVMGRHKPENIVIEMARENQTT


QKGQKNSRERMKRIEEGIKELGSQILKEHPVENTQLQNEKLYLYYLQNGRDMYVDQELDINRLSDYDVDA


IVPQSFLKDDSIDNKVLTRSDKNRGKSDNVPSEEVVKKMKNYWRQLLNAKLITQRKEDNLTKAERGGLSE


LDKAGFIKRQLVETRQITKHVAQILDSRMNTKYDENDKLIREVKVITLKSKLVSDERKDFQFYKVREINN


YHHAHDAYLNAVVGTALIKKYPKLESEFVYGDYKVYDVRKMIAKSEQEIGKATAKYFFYSNIMNFFKTEI


TLANGEIRKRPLIETNGETGEIVWDKGRDFATVRKVLSMPQVNIVKKTEVQTGGFSKESILPKRNSDKLI


ARKKDWDPKKYGGFDSPTVAYSVLVVAKVEKGKSKKLKSVKELLGITIMERSSFEKNPIDFLEAKGYKEV


KKDLIIKLPKYSLFELENGRKRMLASAGELQKGNELALPSKYVNFLYLASHYEKLKGSPEDNEQKQLEVE


QHKHYLDEIIEQISEFSKRVILADANLDKVLSAYNKHRDKPIREQAENIIHLFTLTNLGAPAAFKYEDTT


IDRKRYTSTKEVLDATLIHQSITGLYETRIDLSQLGGD





SEQ ID NO: 24


Polynucleotide sequence of D10A mutant of S. aureus Cas9


atgaaaagga actacattct ggggctggcc atcgggatta caagcgtggg gtatgggatt


attgactatg aaacaaggga cgtgatcgac gcaggcgtca gactgttcaa ggaggccaac


gtggaaaaca atgagggacg gagaagcaag aggggagcca ggcgcctgaa acgacggaga


aggcacagaa tccagagggt gaagaaactg ctgttcgatt acaacctgct gaccgaccat


tctgagctga gtggaattaa tccttatgaa gccagggtga aaggcctgag tcagaagctg


tcagaggaag ctctggaaga gaagtatgtc cacctggcta agcgccgagg agtgcataac


gtcaatgagg tggaagagga caccggcaac gagctgtcta caaaggaaca gatctcacgc


aatagcaaag ctctggaaga gaagtatgtc gcagagctgc agctggaacg gctgaagaaa


gatggcgagg tgagagggtc aattaatagg ttcaagacaa gcgactacgt caaagaagcc


aagcagctgc tgaaagtgca gaaggcttac caccagctgg atcagagctt catcgatact


tatatcgacc tgctggagac tcggagaacc tactatgagg gaccaggaga agggagcccc


ttcggatgga aagacatcaa ggaatggtac gagatgctga tgggacattg cacctatttt


ccagaagagc tgagaagcgt caagtacgct tataacgcag atctgtacaa cgccctgaat


gacctgaaca acctggtcat caccagggat gaaaacgaga aactggaata ctatgagaag


ttccagatca tcgaaaacgt gtttaagcag aagaaaaagc ctacactgaa acagattgct


aaggagatcc ccaatctgaa agtgtatcac gatattaagg gggtgacaag cactggaaaa


ccagagttca acgccgaact gctggatcag attgctaaga acatcacagc acggaaagaa


atcattgaga tccaggaaga gctgactaac ctgaacagcg tcctgactat ctaccagagc


tccgaggaca tccaggaaga gctgactaac ctgaacagcg agctgaccca ggaagagatc


gaacagatta gtaatctgaa ggggtacacc ggaacacaca acctgtccct gaaagctatc


aatctgattc tggatgagct gtggcataca aacgacaatc agattgcaat ctttaaccgg


ctgaagctgg tcccaaaaaa ggtggacctg agtcagcaga aagagatccc aaccacactg


gtggacgatt tcattctgtc acccgtggtc aagcggagct tcatccagag catcaaagtg


atcaacgcca tcatcaagaa gtacggcctg cccaatgata tcattatcga gctggctagg


gagaagaaca gcaaggacgc acagaagatg atcaatgaga tgcagaaacg aaaccggcag


accaatgaac gcattgaaga gattatccga actaccggga aagagaacgc aaagtacctg


attgaaaaaa tcaagctgca cgatatgcag gagggaaagt gtctgtattc tctggaggcc


atccccctgg aggacctgct gaacaatcca ttcaactacg aggtcgatca tattatcccc


agaagcgtgt ccttcgacaa ttcctttaac aacaaggtgc tggtcaagca ggaagagaac


tctaaaaagg gcaataggac tcctttccag tacctgtcta gttcagattc caagatctct


tacgaaacct ttaaaaagca cattctgaat ctggccaaag gaaagggccg catcagcaag


accaaaaagg agtacctgct ggaagagcgg gacatcaaca gattctccgt ccagaaggat


tttattaacc ggaatctggt ggacacaaga tacgctactc gcggcctgat gaatctgctg


cgatcctatt tccgggtgaa caatctggat gtgaaagtca agtccatcaa cggcgggttc


acatcttttc tgaggcgcaa atggaagttt aaaaaggagc gcaacaaagg gtacaagcac


catgccgaag atgctctgat tatcgcaaat gccgacttca tctttaagga gtggaaaaag


ctggacaaag ccaagaaagt gatggagaac cagatgttcg aagagaagca ggccgaatct


atgcccgaaa tcgagacaga acaggagtac aaggagattt tcatcactcc tcaccagatc


aagcatatca aggatttcaa ggactacaag tactctcacc gggtggataa aaagcccaac


agagagctga tcaatgacac cctgtatagt acaagaaaag acgataaggg gaataccctg


attgtgaaca atctgaacgg actgtacgac aaagataatg acaagctgaa aaagctgatc


aacaaaagtc ccgagaagct gctgatgtac caccatgatc ctcagacata tcagaaactg


aagctgatta tggagcagta cggcgacgag aagaacccac tgtataagta ctatgaagag


actgggaact acctgaccaa gtatagcaaa aaggataatg gccccgtgat caagaagatc


aagtactatg ggaacaagct gaatgcccat ctggacatca cagacgatta ccctaacagt


cgcaacaagg tggtcaagct gtcactgaag ccatacagat tcgatgtcta tctggacaac


ggcgtgtata aatttgtgac tgtcaagaat ctggatgtca tcaaaaagga gaactactat


gaagtgaata gcaagtgcta cgaagaggct aaaaagctga aaaagattag caaccaggca


gagttcatcg cctcctttta caacaacgac ctgattaaga tcaatggcga actgtatagg


gtcatcgggg tgaacaatga tctgctgaac cgcattgaag tgaatatgat tgacatcact


taccgagagt atctggaaaa catgaatgat aagcgccccc ctcgaattat caaaacaatt


gcctctaaga ctcagagtat caaaaagtac tcaaccgaca ttctgggaaa cctgtatgag


gtgaagagca aaaagcaccc tcagattatc aaaaagggc





SEQ ID NO: 25


Polynucleotide sequence of N580A mutant of S. aureus Cas9


atgaaaagga actacattct ggggctggac atcgggatta caagcgtggg gtatgggatt


attgactatg aaacaaggga cgtgatcgac gcaggcgtca gactgttcaa ggaggccaac


gtggaaaaca atgagggacg gagaagcaag aggggagcca ggcgcctgaa acgacggaga


aggcacagaa tccagagggt gaagaaactg ctgttcgatt acaacctgct gaccgaccat


tctgagctga gtggaattaa tccttatgaa gccagggtga aaggcctgag tcagaagctg


tcagaggaag agttttccgc agctctgctg cacctggcta agcgccgagg agtgcataac


gtcaatgagg tggaagagga caccggcaac gagctgtcta caaaggaaca gatctcacgc


aatagcaaag ctctggaaga gaagtatgtc gcagagctgc agctggaacg gctgaagaaa


gatggcgagg tgagagggtc aattaatagg ttcaagacaa gcgactacgt caaagaagcc


aagcagctgc tgaaagtgca gaaggcttac caccagctgg atcagagctt catcgatact


tatatcgacc tgctggagac tcggagaacc tactatgagg gaccaggaga agggagcccc


ttcggatgga aagacatcaa ggaatggtac gagatgctga tgggacattg cacctatttt


ccagaagagc tgagaagcgt caagtacgct tataacgcag atctgtacaa cgccctgaat


gacctgaaca acctggtcat caccagggat gaaaacgaga aactggaata ctatgagaag


ttccagatca tcgaaaacgt gtttaagcag aagaaaaagc ctacactgaa acagattgct


aaggagatcc tggtcaacga agaggacatc aagggctacc gggtgacaag cactggaaaa


ccagagttca ccaatctgaa agtgtatcac gatattaagg acatcacagc acggaaagaa


atcattgaga acgccgaact gctggatcag attgctaaga tcctgactat ctaccagagc


tccgaggaca tccaggaaga gctgactaac ctgaacagcg agctgaccca ggaagagatc


gaacagatta gtaatctgaa ggggtacacc ggaacacaca acctgtccct gaaagctatc


aatctgattc tggatgagct gtggcataca aacgacaatc agattgcaat ctttaaccgg


ctgaagctgg tcccaaaaaa ggtggacctg agtcagcaga aagagatccc aaccacactg


gtggacgatt tcattctgtc acccgtggtc aagcggagct tcatccagag catcaaagtg


atcaacgcca tcatcaagaa gtacggcctg cccaatgata tcattatcga gctggctagg


gagaagaaca gcaaggacgc acagaagatg atcaatgaga tgcagaaacg aaaccggcag


accaatgaac gcattgaaga gattatccga actaccggga aagagaacgc aaagtacctg


attgaaaaaa tcaagctgca cgatatgcag gagggaaagt gtctgtattc tctggaggcc


atccccctgg aggacctgct gaacaatcca ttcaactacg aggtcgatca tattatcccc


agaagcgtgt ccttcgacaa ttcctttaac aacaaggtgc tggtcaagca ggaagaggcc


tctaaaaagg gcaataggac tcctttccag tacctgtcta gttcagattc caagatctct


tacgaaacct ttaaaaagca cattctgaat ctggccaaag gaaagggccg catcagcaag


accaaaaagg agtacctgct ggaagagcgg gacatcaaca gattctccgt ccagaaggat


tttattaacc ggaatctggt ggacacaaga tacgctactc gcggcctgat gaatctgctg


cgatcctatt tccgggtgaa caatctggat gtgaaagtca agtccatcaa cggcgggttc


acatcttttc tgaggcgcaa atggaagttt aaaaaggagc gcaacaaagg gtacaagcac


catgccgaag atgctctgat tatcgcaaat gccgacttca tctttaagga gtggaaaaag


ctggacaaag ccaagaaagt gatggagaac cagatgttcg aagagaagca ggccgaatct


atgcccgaaa tcgagacaga acaggagtac aaggagattt tcatcactcc tcaccagatc


aagcatatca aggatttcaa ggactacaag tactctcacc gggtggataa aaagcccaac


agagagctga tcaatgacac cctgtatagt acaagaaaag acgataaggg gaataccctg


attgtgaaca atctgaacgg actgtacgac aaagataatg acaagctgaa aaagctgatc


aacaaaagtc ccgagaagct gctgatgtac caccatgatc ctcagacata tcagaaactg


aagctgatta tggagcagta cggcgacgag aagaacccac tgtataagta ctatgaagag


actgggaact acctgaccaa gtatagcaaa aaggataatg gccccgtgat caagaagatc


aagtactatg ggaacaagct gaatgcccat ctggacatca cagacgatta ccctaacagt


cgcaacaagg tggtcaagct gtcactgaag ccatacagat tcgatgtcta tctggacaac


ggcgtgtata aatttgtgac tgtcaagaat ctggatgtca tcaaaaagga gaactactat


gaagtgaata gcaagtgcta cgaagaggct aaaaagctga aaaagattag caaccaggca


gagttcatcg cctcctttta caacaacgac ctgattaaga tcaatggcga actgtatagg


gtcatcgggg tgaacaatga tctgctgaac cgcattgaag tgaatatgat tgacatcact


taccgagagt atctggaaaa catgaatgat aagcgccccc ctcgaattat caaaacaatt


gcctctaaga ctcagagtat caaaaagtac tcaaccgaca ttctgggaaa cctgtatgag


gtgaagagca aaaagcaccc tcagattatc aaaaagggc





SEQ ID NO: 26


codon optimized polynucleotide encoding S. pyogenes Cas9


atggataaaa agtacagcat cgggctggac atcggtacaa actcagtggg gtgggccgtg


attacggacg agtacaaggt accctccaaa aaatttaaag tgctgggtaa cacggacaga


cactctataa agaaaaatct tattggagcc ttgctgttcg actcaggcga gacagccgaa


gccacaaggt tgaagcggac cgccaggagg cggtatacca ggagaaagaa ccgcatatgc


tacctgcaag aaatcttcag taacgagatg gcaaaggttg acgatagctt tttccatcgc


ctggaagaat cctttcttgt tgaggaagac aagaagcacg aacggcaccc catctttggc


aatattgtcg acgaagtggc atatcacgaa aagtacccga ctatctacca cctcaggaag


aagctggtgg actctaccga taaggcggac ctcagactta tttatttggc actcgcccac


atgattaaat ttagaggaca tttcttgatc gagggcgacc tgaacccgga caacagtgac


gtcgataagc tgttcatcca acttgtgcag acctacaatc aactgttcga agaaaaccct


ataaatgctt caggagtcga cgctaaagca atcctgtccg cgcgcctctc aaaatctaga


agacttgaga atctgattgc tcagttgccc ggggaaaaga aaaatggatt gtttggcaac


ctgatcgccc tcagtctcgg actgacccca aatttcaaaa gtaacttcga cctggccgaa


gacgctaagc tccagctgtc caaggacaca tacgatgacg acctcgacaa tctgctggcc


cagattgggg atcagtacgc cgatctcttt ttggcagcaa agaacctgtc cgacgccatc


ctgttgagcg atatcttgag agtgaacacc gaaattacta aagcacccct tagcgcatct


atgatcaagc ggtacgacga gcatcatcag gatctgaccc tgctgaaggc tottgtgagg


caacagctcc ccgaaaaata caaggaaatc ttctttgacc agagcaaaaa cggctacgct


ggctatatag atggtggggc cagtcaggag gaattctata aattcatcaa gcccattctc


gagaaaatgg acggcacaga ggagttgctg gtcaaactta acagggagga cctgctgcgg


aagcagcgga cctttgacaa cgggtctatc ccccaccaga ttcatctggg cgaactgcac


gcaatcctga ggaggcagga ggatttttat ccttttctta aagataaccg cgagaaaata


gaaaagattc ttacattcag gatcccgtac tacgtgggac ctctcgcccg gggcaattca


cggtttgcct ggatgacaag gaagtcagag gagactatta caccttggaa cttcgaagaa


gtggtggaca agggtgcatc tgcccagtct ttcatcgagc ggatgacaaa ttttgacaag


aacctcccta atgagaaggt gctgcccaaa cattctctgc tctacgagta ctttaccgtc


tacaatgaac tgactaaagt caagtacgtc accgagggaa tgaggaagcc ggcattcctt


agtggagaac agaagaaggc gattgtagac ctgttgttca agaccaacag gaaggtgact


gtgaagcaac ttaaagaaga ctactttaag aagatcgaat gttttgacag tgtggaaatt


tcaggggttg aagaccgctt caatgcgtca ttggggactt accatgatct tctcaagatc


ataaaggaca aagacttcct ggacaacgaa gaaaatgagg atattctcga agacatcgtc


ctcaccctga ccctgttcga agacagggaa atgatagaag agcgcttgaa aacctatgcc


cacctcttcg acgataaagt tatgaagcag ctgaagcgca ggagatacac aggatgggga


agattgtcaa ggaagctgat caatggaatt agggataaac agagtggcaa gaccatactg


gatttcctca aatctgatgg cttcgccaat aggaacttca tgcaactgat tcacgatgac


tctcttacct tcaaggagga cattcaaaag gctcaggtga gcgggcaggg agactccctt


catgaacaca tcgcgaattt ggcaggttcc cccgctatta aaaagggcat ccttcaaact


gtcaaggtgg tggatgaatt ggtcaaggta atgggcagac ataagccaga aaatattgtg


atcgagatgg cccgcgaaaa ccagaccaca cagaagggcc agaaaaatag tagagagcgg


atgaagagga tcgaggaggg catcaaagag ctgggatctc agattctcaa agaacacccc


gtagaaaaca cacagctgca gaacgaaaaa ttgtacttgt actatctgca gaacggcaga


gacatgtacg tcgaccaaga acttgatatt aatagactgt ccgactatga cgtagaccat


atcgtgcccc agtccttcct gaaggacgac tccattgata acaaagtctt gacaagaagc


gacaagaaca ggggtaaaag tgataatgtg cctagcgagg aggtggtgaa aaaaatgaag


aactactggc gacagctgct taatgcaaag ctcattacac aacggaagtt cgataatctg


acgaaagcag agagaggtgg cttgtctgag ttggacaagg cagggtttat taagcggcag


ctggtggaaa ctaggcagat cacaaagcac gtggcgcaga ttttggacag ccggatgaac


acaaaatacg acgaaaatga taaactgata cgagaggtca aagttatcac gctgaaaagc


aagctggtgt ccgattttcg gaaagacttc cagttctaca aagttcgcga gattaataac


taccatcatg ctcacgatgc gtacctgaac gctgttgtcg ggaccgcctt gataaagaag


tacccaaagc tggaatccga gttcgtatac ggggattaca aagtgtacga tgtgaggaaa


atgatagcca agtccgagca ggagattgga aaggccacag ctaagtactt cttttattct


aacatcatga atttttttaa gacggaaatt accctggcca acggagagat cagaaagcgg


ccccttatag agacaaatgg tgaaacaggt gaaatcgtct gggataaggg cagggatttc


gctactgtga ggaaggtgct gagtatgcca caggtaaata tcgtgaaaaa aaccgaagta


cagaccggag gattttccaa ggaaagcatt ttgcctaaaa gaaactcaga caagctcatc


gcccgcaaga aagattggga ccctaagaaa tacgggggat ttgactcacc caccgtagcc


tattctgtgc tggtggtagc taaggtggaa aaaggaaagt ctaagaagct gaagtccgtg


aaggaactct tgggaatcac tatcatggaa agatcatcct ttgaaaagaa ccctatcgat


ttcctggagg ctaagggtta caaggaggtc aagaaagacc tcatcattaa actgccaaaa


tactctctct tcgagctgga aaatggcagg aagagaatgt tggccagcgc cggagagctg


caaaagggaa acgagcttgc tctgccctcc aaatatgtta attttctcta tctcgcttcc


cactatgaaa agctgaaagg gtctcccgaa gataacgagc agaagcagct gttcgtcgaa


cagcacaagc actatctgga tgaaataatc gaacaaataa gcgagttcag caaaagggtt


atcctggcgg atgctaattt ggacaaagta ctgtctgctt ataacaagca ccgggataag


cctattaggg aacaagccga gaatataatt cacctcttta cactcacgaa tctcggagcc


cccgccgcct tcaaatactt tgatacgact atcgaccgga aacggtatac cagtaccaaa


gaggtcctcg atgccaccct catccaccag tcaattactg gcctgtacga aacacggatc


gacctctctc aactgggcgg cgactag





SEQ ID NO: 27


codon optimized nucleic acid sequences encoding S. aureus Cas9


atgaaaagga actacattct ggggctggac atcgggatta caagcgtggg gtatgggatt


attgactatg aaacaaggga cgtgatcgac gcaggcgtca gactgttcaa ggaggccaac


gtggaaaaca atgagggacg gagaagcaag aggggagcca ggcgcctgaa acgacggaga


aggcacagaa tccagagggt gaagaaactg ctgttcgatt acaacctgct gaccgaccat


tctgagctga gtggaattaa tccttatgaa gccagggtga aaggcctgag tcagaagctg


tcagaggaag agttttccgc agctctgctg cacctggcta agcgccgagg agtgcataac


gtcaatgagg tggaagagga caccggcaac gagctgtcta caaaggaaca gatctcacgc


aatagcaaag ctctggaaga gaagtatgtc gcagagctgc agctggaacg gctgaagaaa


gatggcgagg tgagagggtc aattaatagg ttcaagacaa gcgactacgt caaagaagcc


aagcagctgc tgaaagtgca gaaggcttac caccagctgg atcagagctt catcgatact


tatatcgacc tgctggagac tcggagaacc tactatgagg gaccaggaga agggagcccc


ttcggatgga aagacatcaa ggaatggtac gagatgctga tgggacattg cacctatttt


ccagaagagc tgagaagcgt caagtacgct tataacgcag atctgtacaa cgccctgaat


gacctgaaca acctggtcat caccagggat gaaaacgaga aactggaata ctatgagaag


ttccagatca tcgaaaacgt gtttaagcag aagaaaaagc ctacactgaa acagattgct


aaggagatcc tggtcaacga agaggacatc aagggctacc gggtgacaag cactggaaaa


ccagagttca ccaatctgaa agtgtatcac gatattaagg acatcacagc acggaaagaa


atcattgaga acgccgaact gctggatcag attgctaaga tcctgactat ctaccagagc


tccgaggaca tccaggaaga gctgactaac ctgaacagcg agctgaccca ggaagagatc


gaacagatta gtaatctgaa ggggtacacc ggaacacaca acctgtccct gaaagctatc


aatctgattc tggatgagct gtggcataca aacgacaatc agattgcaat ctttaaccgg


ctgaagctgg tcccaaaaaa ggtggacctg agtcagcaga aagagatccc aaccacactg


gtggacgatt tcattctgtc acccgtggtc aagcggagct tcatccagag catcaaagtg


atcaacgcca tcatcaagaa gtacggcctg cccaatgata tcattatcga gctggctagg


gagaagaaca gcaaggacgc acagaagatg atcaatgaga tgcagaaacg aaaccggcag


accaatgaac gcattgaaga gattatccga actaccggga aagagaacgc aaagtacctg


attgaaaaaa tcaagctgca cgatatgcag gagggaaagt gtctgtattc tctggaggcc


tccccctgg aggacctgct gaacaatcca ttcaactacg aggtcgatca tattatcccc


agaagcgtgt ccttcgacaa ttcctttaac aacaaggtgc tggtcaagca ggaagagaac


tctaaaaagg gcaataggac tcctttccag tacctgtcta gttcagattc caagatctct


tacgaaacct ttaaaaagca cattctgaat ctggccaaag gaaagggccg catcagcaag


accaaaaagg agtacctgct ggaagagcgg gacatcaaca gattctccgt ccagaaggat


tttattaacc ggaatctggt ggacacaaga tacgctactc gcggcctgat gaatctgctg


cgatcctatt tccgggtgaa caatctggat gtgaaagtca agtccatcaa cggcgggttc


acatcttttc tgaggcgcaa atggaagttt aaaaaggagc gcaacaaagg gtacaagcac


catgccgaag atgctctgat tatcgcaaat gccgacttca tctttaagga gtggaaaaag


ctggacaaag ccaagaaagt gatggagaac cagatgttcg aagagaagca ggccgaatct


atgcccgaaa tcgagacaga acaggagtac aaggagattt tcatcactcc tcaccagatc


aagcatatca aggatttcaa ggactacaag tactctcacc gggtggataa aaagcccaac


agagagctga tcaatgacac cctgtatagt acaagaaaag acgataaggg gaataccctg


attgtgaaca atctgaacgg actgtacgac aaagataatg acaagctgaa aaagctgatc


aacaaaagtc ccgagaagct gctgatgtac caccatgatc ctcagacata tcagaaactg


aagctgatta tggagcagta cggcgacgag aagaacccac tgtataagta ctatgaagag


actgggaact acctgaccaa gtatagcaaa aaggataatg gccccgtgat caagaagatc


aagtactatg ggaacaagct gaatgcccat ctggacatca cagacgatta ccctaacagt


cgcaacaagg tggtcaagct gtcactgaag ccatacagat tcgatgtcta tctggacaac


ggcgtgtata aatttgtgac tgtcaagaat ctggatgtca tcaaaaagga gaactactat


gaagtgaata gcaagtgcta cgaagaggct aaaaagctga aaaagattag caaccaggca


gagttcatcg cctcctttta caacaacgac ctgattaaga tcaatggcga actgtatagg


gtcatcgggg tgaacaatga tctgctgaac cgcattgaag tgaatatgat tgacatcact


taccgagagt atctggaaaa catgaatgat aagcgccccc ctcgaattat caaaacaatt


gcctctaaga ctcagagtat caaaaagtac tcaaccgaca ttctgggaaa cctgtatgag


gtgaagagca aaaagcaccc tcagattatc aaaaagggc





SEQ ID NO: 28


codon optimized nucleic acid sequences encoding S. aureus Cas9


atgaagcgga actacatcct gggcctggac atcggcatca ccagcgtggg ctacggcatc


atcgactacg agacacggga cgtgatcgat gccggcgtgc ggctgttcaa agaggccaac


gtggaaaaca acgagggcag gcggagcaag agaggcgcca gaaggctgaa gcggcggagg


cggcatagaa tccagagagt gaagaagctg ctgttcgact acaacctgct gaccgaccac


agcgagctga gcggcatcaa cccctacgag gccagagtga agggcctgag ccagaagctg


agcgaggaag agttctctgc cgccctgctg cacctggcca agagaagagg cgtgcacaac


gtgaacgagg tggaagagga caccggcaac gagctgtcca ccaaagagca gatcagccgg


aacagcaagg ccctggaaga gaaatacgtg gccgaactgc agctggaacg gctgaagaaa


gacggcgaag tgcggggcag catcaacaga ttcaagacca gcgactacgt gaaagaagcc


aaacagctgc tgaaggtgca gaaggcctac caccagctgg accagagctt catcgacacc


tacatcgacc tgctggaaac ccggcggacc tactatgagg gacctggcga gggcagcccc


ttcggctgga aggacatcaa agaatggtac gagatgctga tgggccactg cacctacttc


cccgaggaac tgcggagcgt gaagtacgcc tacaacgccg acctgtacaa cgccctgaac


gacctgaaca atctcgtgat caccagggac gagaacgaga agctggaata ttacgagaag


ttccagatca tcgagaacgt gttcaagcag aagaagaagc ccaccctgaa gcagatcgcc


aaagaaatcc tcgtgaacga agaggatatt aagggctaca gagtgaccag caccggcaag


cccgagttca ccaacctgaa ggtgtaccac gacatcaagg acattaccgc ccggaaagag


attattgaga acgccgagct gctggatcag attgccaaga tcctgaccat ctaccagagc


agcgaggaca tccaggaaga actgaccaat ctgaactccg agctgaccca ggaagagatc


gagcagatct ctaatctgaa gggctatacc ggcacccaca acctgagcct gaaggccatc


aacctgatcc tggacgagct gtggcacacc aacgacaacc agatcgctat cttcaaccgg


ctgaagctgg tgcccaagaa ggtggacctg tcccagcaga aagagatccc caccaccctg


gtggacgact tcatcctgag ccccgtcgtg aagagaagct tcatccagag catcaaagtg


atcaacgcca tcatcaagaa gtacggcctg cccaacgaca tcattatcga gctggcccgc


gagaagaact ccaaggacgc ccagaaaatg atcaacgaga tgcagaagcg gaaccggcag


accaacgagc ggatcgagga aatcatccgg accaccggca aagagaacgc caagtacctg


atcgagaaga tcaagctgca cgacatgcag gaaggcaagt gcctgtacag cctggaagcc


atccctctgg aagatctgct gaacaacccc ttcaactatg aggtggacca catcatcccc


agaagcgtgt ccttcgacaa cagcttcaac aacaaggtgc tcgtgaagca ggaagaaaac


agcaagaagg gcaaccggac cccattccag tacctgagca gcagcgacag caagatcagc


tacgaaacct tcaagaagca catcctgaat ctggccaagg gcaagggcag aatcagcaag


accaagaaag agtatctgct ggaagaacgg gacatcaaca ggttctccgt gcagaaagac


ttcatcaacc ggaacctggt ggataccaga tacgccacca gaggcctgat gaacctgctg


cggagctact tcagagtgaa caacctggac gtgaaagtga agtccatcaa tggcggcttc


accagctttc tgcggcggaa gtggaagttt aagaaagagc ggaacaaggg gtacaagcac


cacgccgagg acgccctgat cattgccaac gccgatttca tcttcaaaga gtggaagaaa


ctggacaagg ccaaaaaagt gatggaaaac cagatgttcg aggaaaagca ggccgagagc


atgcccgaga tcgaaaccga gcaggagtac aaagagatct tcatcacccc ccaccagatc


aagcacatta aggacttcaa ggactacaag tacagccacc gggtggacaa gaagcctaat


agagagctga ttaacgacac cctgtactcc acccggaagg acgacaaggg caacaccctg


atcgtgaaca atctgaacgg cctgtacgac aaggacaatg acaagctgaa aaagctgatc


aacaagagcc ccgaaaagct gctgatgtac caccacgacc cccagaccta ccagaaactg


aagctgatta tggaacagta cggcgacgag aagaatcccc tgtacaagta ctacgaggaa


accgggaact acctgaccaa gtactccaaa aaggacaacg gccccgtgat caagaagatt


aagtattacg gcaacaaact gaacgcccat ctggacatca ccgacgacta ccccaacagc


agaaacaagg tcgtgaagct gtccctgaag ccctacagat tcgacgtgta cctggacaat


ggcgtgtaca agttcgtgac cgtgaagaat ctggatgtga tcaaaaaaga aaactactac


gaagtgaata gcaagtgcta tgaggaagct aagaagctga agaagatcag caaccaggcc


gagtttatcg cctccttcta caacaacgat ctgatcaaga tcaacggcga gctgtataga


gtgatcggcg tgaacaacga cctgctgaac cggatcgaag tgaacatgat cgacatcacc


taccgcgagt acctggaaaa catgaacgac aagaggcccc ccaggatcat taagacaatc


gcctccaaga cccagagcat taagaagtac agcacagaca ttctgggcaa cctgtatgaa


gtgaaatcta agaagcaccc tcagatcatc aaaaagggc





SEQ ID NO: 29


codon optimized nucleic acid sequence encoding S. aureus Cas9


atgaagcgca actacatcct cggactggac atcggcatta cctccgtggg atacggcatc


atcgattacg aaactaggga tgtgatcgac gctggagtca ggctgttcaa agaggcgaac


gtggagaaca acgaggggcg gcgctcaaag aggggggccc gccggctgaa gcgccgccgc


agacatagaa tccagcgcgt gaagaagctg ctgttcgact acaaccttct gaccgaccac


tccgaacttt ccggcatcaa cccatatgag gctagagtga agggattgtc ccaaaagctg


tccgaggaag agttctccgc cgcgttgctc cacctcgcca agcgcagggg agtgcacaat


gtgaacgaag tggaagaaga taccggaaac gagctgtcca ccaaggagca gatcagccgg


aactccaagg ccctggaaga gaaatacgtg gcggaactgc aactggagcg gctgaagaaa


gacggagaag tgcgcggctc gatcaaccgc ttcaagacct cggactacgt gaaggaggcc


aagcagctcc tgaaagtgca aaaggcctat caccaacttg accagtcctt tatcgatacc


tacatcgatc tgctcgagac tcggcggact tactacgagg gtccagggga gggctcccca


tttggttgga aggatattaa ggagtggtac gaaatgctga tgggacactg cacatacttc


cctgaggagc tgcggagcgt gaaatacgca tacaacgcag acctgtacaa cgcgctgaac


gacctgaaca atctcgtgat cacccgggac gagaacgaaa agctcgagta ttacgaaaag


ttccagatta ttgagaacgt gttcaaacag aagaagaagc cgacactgaa gcagattgcc


aaggaaatcc tcgtgaacga agaggacatc aagggctatc gagtgacctc aacgggaaag


ccggagttca ccaatctgaa ggtctaccac gacatcaaag acattaccgc ccggaaggag


atcattgaga acgcggagct gttggaccag attgcgaaga ttctgaccat ctaccaatcc


tccgaggata ttcaggaaga actcaccaac ctcaacagcg aactgaccca ggaggagata


gagcaaatct ccaacctgaa gggctacacc ggaactcata acctgagcct gaaggccatc


aacttgatcc tggacgagct gtggcacacc aacgataacc agatcgctat tttcaatcgg


ctgaagctgg tccccaagaa agtggacctc tcacaacaaa aggagatccc tactaccctt


gtggacgatt tcattctgtc ccccgtggtc aagagaagct tcatacagtc aatcaaagtg


atcaatgcca ttatcaagaa atacggtctg cccaacgaca ttatcattga gctcgcccgc


gagaagaact cgaaggacgc ccagaagatg attaacgaaa tgcagaagag gaaccgacag


actaacgaac ggatcgaaga aatcatccgg accaccggga aggaaaacgc gaagtacctg


atcgaaaaga tcaagctcca tgacatgcag gaaggaaagt gtctgtactc gctggaggcc


attccgctgg aggacttgct gaacaaccct tttaactacg aagtggatca tatcattccg


aggagcgtgt cattcgacaa ttccttcaac aacaaggtcc tcgtgaagca ggaggaaaac


tcgaagaagg gaaaccgcac gccgttccag tacctgagca gcagcgactc caagatttcc


tacgaaacct tcaagaagca catcctcaac ctggcaaagg ggaagggtcg catctccaag


accaagaagg aatatctgct ggaagaaaga gacatcaaca gattctccgt gcaaaaggac


ttcatcaacc gcaacctcgt ggatactaga tacgctactc ggggtctgat gaacctcctg


agaagctact ttagagtgaa caatctggac gtgaaggtca agtcgattaa cggaggtttc


acctccttcc tgcggcgcaa gtggaagttc aagaaggaac ggaacaaggg ctacaagcac


cacgccgagg acgccctgat cattgccaac gccgacttca tcttcaaaga atggaagaaa


cttgacaagg ctaagaaggt catggaaaac cagatgttcg aagaaaagca ggccgagtct


atgcctgaaa tcgagactga acaggagtac aaggaaatct ttattacgcc acaccagatc


aaacacatca aggatttcaa ggattacaag tactcacatc gcgtggacaa aaagccgaac


agggaactga tcaacgacac cctctactcc acccggaagg atgacaaagg gaataccctc


atcgtcaaca accttaacgg cctgtacgac aaggacaacg ataagctgaa gaagctcatt


aacaagtcgc ccgaaaagtt gctgatgtac caccacgacc ctcagactta ccagaagctc


aagctgatca tggagcagta tggggacgag aaaaacccgt tgtacaagta ctacgaagaa


actgggaatt atctgactaa gtactccaag aaagataacg gccccgtgat taagaagatt


aagtactacg gcaacaagct gaacgcccat ctggacatca ccgatgacta ccctaattcc


cgcaacaagg tcgtcaagct gagcctcaag ccctaccggt ttgatgtgta ccttgacaat


ggagtgtaca agttcgtgac tgtgaagaac cttgacgtga tcaagaagga gaactactac


gaagtcaact ccaagtgcta cgaggaagca aagaagttga agaagatctc gaaccaggcc


gagttcattg cctccttcta taacaacgac ctgattaaga tcaacggcga actgtaccgc


gtcattggcg tgaacaacga tctcctgaac cgcatcgaag tgaacatgat cgacatcact


taccgggaat acctggagaa tatgaacgac aagcgcccgc cccggatcat taagactatc


gcctcaaaga cccagtcgat caagaagtac agcaccgaca tcctgggcaa cctgtacgag


gtcaaatcga agaagcaccc ccagatcatc aagaaggga





SEQ ID NO: 30


codon optimized nucleic acid sequence encoding S. aureus Cas9


atggccccaaagaagaagcggaaggtcggtatccacggagtcccagcagccaagcggaactacatcctgg


gcctggacatcggcatcaccagcgtgggctacggcatcatcgactacgagacacgggacgtgatcgatgc


cggcgtgcggctgttcaaagaggccaacgtggaaaacaacgagggcaggcggagcaagagaggcgccaga


aggctgaagcggcggaggcggcatagaatccagagagtgaagaagctgctgttcgactacaacctgctga


ccgaccacagcgagctgagcggcatcaacccctacgaggccagagtgaagggcctgagccagaagctgag


cgaggaagagttctctgccgccctgctgcacctggccaagagaagaggcgtgcacaacgtgaacgaggtg


gaagaggacaccggcaacgagctgtccaccagagagcagatcagccggaacagcaaggccctggaagaga


aatacgtggccgaactgcagctggaacggctgaagaaagacggcgaagtgcggggcagcatcaacagatt


caagaccagcgactacgtgaaagaagccaaacagctgctgaaggtgcagaaggcctaccaccagctggac


cagagcttcatcgacacctacatcgacctgctggaaacccggcggacctactatgagggacctggcgagg


gcagccccttcggctggaaggacatcaaagaatggtacgagatgctgatgggccactgcacctacttccc


cgaggaactgcggagcgtgaagtacgcctacaacgccgacctgtacaacgccctgaacgacctgaacaat


ctcgtgatcaccagggacgagaacgagaagctggaatattacgagaagttccagatcatcgagaacgtgt


tcaagcagaagaagaagcccaccctgaagcagatcgccaaagaaatcctcgtgaacgaagaggatattaa


gggctacagagtgaccagcaccggcaagcccgagttcaccaacctgaaggtgtaccacgacatcaaggac


attaccgcccggaaagagattattgagaacgccgagctgctggatcagattgccaagatcctgaccatct


accagagcagcgaggacatccaggaagaactgaccaatctgaactccgagctgacccaggaagagatcga


gcagatctctaatctgaagggctataccggcacccacaacctgagcctgaaggccatcaacctgatcctg


gacgagctgtggcacaccaacgacaaccagatcgctatcttcaaccggctgaagctggtgcccaagaagg


tggacctgtcccagcagaaagagatccccaccaccctggtggacgacttcatcctgagccccgtcgtgaa


gagaagcttcatccagagcatcaaagtgatcaacgccatcatcaagaagtacggcctgcccaacgacatc


attatcgagctggcccgcgagaagaactccaaggacgcccagaaaatgatcaacgagatgcagaagcgga


accggcagaccaacgagcggatcgaggaaatcatccggaccaccggcaaagagaacgccaagtacctgat


cgagaagatcaagctgcacgacatgcaggaaggcaagtgcctgtacagcctggaagccatccctctggaa


gatctgctgaacaaccccttcaactatgaggtggaccacatcatccccagaagcgtgtccttcgacaaca


gcttcaacaacaaggtgctcgtgaagcaggaagaaaacagcaagaagggcaaccggaccccattccagta


cctgagcagcagcgacagcaagatcagctacgaaaccttcaagaagcacatcctgaatctggccaagggc


aagggcagaatcagcaagaccaagaaagagtatctgctggaagaacgggacatcaacaggttctccgtgc


agaaagacttcatcaaccggaacctggtggataccagatacgccaccagaggcctgatgaacctgctgcg


gagctacttcagagtgaacaacctggacgtgaaagtgaagtccatcaatggcggcttcaccagctttctg


cggcggaagtggaagtttaagaaagagcggaacaaggggtacaagcaccacgccgaggacgccctgatca


ttgccaacgccgatttcatcttcaaagagtggaagaaactggacaaggccaaaaaagtgatggaaaacca


gatgttcgaggaaaggcaggccgagagcatgcccgagatcgaaaccgagcaggagtacaaagagatcttc


atcaccccccaccagatcaagcacattaaggacttcaaggactacaagtacagccaccgggtggacaaga


agcctaatagagagctgattaacgacaccctgtactccacccggaaggacgacaagggcaacaccctgat


cgtgaacaatctgaacggcctgtacgacaaggacaatgacaagctgaaaaagctgatcaacaagagcccc


gaaaagctgctgatgtaccaccacgacccccagacctaccagaaactgaagctgattatggaacagtacg


gcgacgagaagaatcccctgtacaagtactacgaggaaaccgggaactacctgaccaagtactccaaaaa


ggacaacggccccgtgatcaagaagattaagtattacggcaacaaactgaacgcccatctggacatcacc


gacgactaccccaacagcagaaacaaggtcgtgaagctgtccctgaagccctacagattcgacgtgtacc


tggacaatggcgtgtacaagttcgtgaccgtgaagaatctggatgtgatcaaaaaagaaaactactacga


agtgaatagcaagtgctatgaggaagctaagaagctgaagaagatcagcaaccaggccgagtttatcgcc


tccttctacaacaacgatctgatcaagatcaacggcgagctgtatagagtgatcggcgtgaacaacgacc


tgctgaaccggatcgaagtgaacatgatcgacatcacctaccgcgagtacctggaaaacatgaacgacaa


gaggccccccaggatcattaagacaatcgcctccaagacccagagcattaagaagtacagcacagacatt


ctgggcaacctgtatgaagtgaaatctaagaagcaccctcagatcatcaaaaagggcaaaaggccggcgg


ccacgaaaaaggccggccaggcaaaaaagaaaaag





SEQ ID NO: 31


codon optimized nucleic acid sequence encoding S. aureus Cas9


accggtgcca ccatgtaccc atacgatgtt ccagattacg cttcgccgaa gaaaaagcgc


aaggtcgaag cgtccatgaa aaggaactac attctggggc tggacatcgg gattacaagc


gtggggtatg ggattattga ctatgaaaca agggacgtga tcgacgcagg cgtcagactg


ttcaaggagg ccaacgtgga aaacaatgag ggacggagaa gcaagagggg agccaggcgc


ctgaaacgac ggagaaggca cagaatccag agggtgaaga aactgctgtt cgattacaac


ctgctgaccg accattctga gctgagtgga attaatcctt atgaagccag ggtgaaaggc


ctgagtcaga agctgtcaga ggaagagttt tccgcagctc tgctgcacct ggctaagcgc


cgaggagtgc ataacgtcaa tgaggtggaa gaggacaccg gcaacgagct gtctacaaag


gaacagatct cacgcaatag caaagctctg gaagagaagt atgtcgcaga gctgcagctg


gaacggctga agaaagatgg cgaggtgaga gggtcaatta ataggttcaa gacaagcgac


tacgtcaaag aagccaagca gctgctgaaa gtgcagaagg cttaccacca gctggatcag


agcttcatcg atacttatat cgacctgctg gagactcgga gaacctacta tgagggacca


ggagaaggga gccccttcgg atggaaagac atcaaggaat ggtacgagat gctgatggga


cattgcacct attttccaga agagctgaga agcgtcaagt acgcttataa cgcagatct


tacaacgccc tgaatgacct gaacaacctg gtcatcacca gggatgaaaa cgagaaactg


gaatactatg agaagttcca gatcatcgaa aacgtgttta agcagaagaa aaagcctaca


ctgaaacaga ttgctaagga gatcctggtc aacgaagagg acatcaaggg ctaccgggtg


acaagcactg gaaaaccaga gttcaccaat ctgaaagtgt atcacgatat taaggacatc


acagcacgga aagaaatcat tgagaacgcc gaactgctgg atcagattgc taagatcctg


actatctacc agagctccga ggacatccag gaagagctga ctaacctgaa cagcgagctg


acccaggaag agatcgaaca gattagtaat ctgaaggggt acaccggaac acacaacctg


tccctgaaag ctatcaatct gattctggat gagctgtggc atacaaacga caatcagatt


gcaatcttta accggctgaa gctggtccca aaaaaggtgg acctgagtca gcagaaagag


atcccaacca cactggtgga cgatttcatt ctgtcacccg tggtcaagcg gagcttcatc


cagagcatca aagtgatcaa cgccatcatc aagaagtacg gcctgcccaa tgatatcatt


atcgagctgg ctagggagaa gaacagcaag gacgcacaga agatgatcaa tgagatgcag


aaacgaaacc ggcagaccaa tgaacgcatt gaagagatta tccgaactac cgggaaagag


aacgcaaagt acctgattga aaaaatcaag ctgcacgata tgcaggaggg aaagtgtctg


tattctctgg aggccatccc cctggaggac ctgctgaaca atccattcaa ctacgaggtc


gatcatatta tccccagaag cgtgtccttc gacaattcct ttaacaacaa ggtgctggtc


aagcaggaag agaactctaa aaagggcaat aggactcctt tccagtacct gtctagttca


gattccaaga tctcttacga aacctttaaa aagcacattc tgaatctggc caaaggaaag


ggccgcatca gcaagaccaa aaaggagtac ctgctggaag agcgggacat caacagattc


tccgtccaga aggattttat taaccggaat ctggtggaca caagatacgc tactcgcggc


ctgatgaatc tgctgcgatc ctatttccgg gtgaacaatc tggatgtgaa agtcaagtcc


atcaacggcg ggttcacatc ttttctgagg cgcaaatgga agtttaaaaa ggagcgcaac


aaagggtaca agcaccatgc cgaagatgct ctgattatcg caaatgccga cttcatcttt


aaggagtgga aaaagctgga caaagccaag aaagtgatgg agaaccagat gttcgaagag


aagcaggccg aatctatgcc cgaaatcgag acagaacagg agtacaagga gattttcatc


actcctcacc agatcaagca tatcaaggat ttcaaggact acaagtactc tcaccgggtg


gataaaaagc ccaacagaga gctgatcaat gacaccctgt atagtacaag aaaagacgat


aaggggaata ccctgattgt gaacaatctg aacggactgt acgacaaaga taatgacaag


ctgaaaaagc tgatcaacaa aagtcccgag aagctgctga tgtaccacca tgatcctcag


acatatcaga aactgaagct gattatggag cagtacggcg acgagaagaa cccactgtat


aagtactatg aagagactgg gaactacctg accaagtata gcaaaaagga taatggcccc


gtgatcaaga agatcaagta ctatgggaac aagctgaatg cccatctgga catcacagac


gattacccta acagtcgcaa caaggtggtc aagctgtcac tgaagccata cagattcgat


gtctatctgg acaacggcgt gtataaattt gtgactgtca agaatctgga tgtcatcaaa


aaggagaact actatgaagt gaatagcaag tgctacgaag aggctaaaaa gctgaaaaag


attagcaacc aggcagagtt catcgcctcc ttttacaaca acgacctgat taagatcaat


ggcgaactgt atagggtcat cggggtgaac aatgatctgc tgaaccgcat tgaagtgaat


atgattgaca tcacttaccg agagtatctg gaaaacatga atgataagcg cccccctcga


attatcaaaa caattgcctc taagactcag agtatcaaaa agtactcaac cgacattctg


ggaaacctgt atgaggtgaa gagcaaaaag caccctcaga ttatcaaaaa gggctaagaa


ttc 





SEQ ID NO: 32


codon optimized nucleic acid sequences encoding S. aureus Cas9


atggccccaaagaagaagcggaaggtcggtatccacggagtcccagcagccaagcggaactacatcctgg


gcctggacatcggcatcaccagcgtgggctacggcatcatcgactacgagacacgggacgtgatcgatgc


cggcgtgcggctgttcaaagaggccaacgtggaaaacaacgagggcaggcggagcaagagaggcgccaga


aggctgaagcggcggaggcggcatagaatccagagagtgaagaagctgctgttcgactacaacctgctga


ccgaccacagcgagctgagcggcatcaacccctacgaggccagagtgaagggcctgagccagaagctgag


cgaggaagagttctctgccgccctgctgcacctggccaagagaagaggcgtgcacaacgtgaacgaggtg


gaagaggacaccggcaacgagctgtccaccaaagagcagatcagccggaacagcaaggccctggaagaga


aatacgtggccgaactgcagctggaacggctgaagaaagacggcgaagtgcggggcagcatcaacagatt


caagaccagcgactacgtgaaagaagccaaacagctgctgaaggtgcagaaggcctaccaccagctggac


cagagcttcatcgacacctacatcgacctgctggaaacccggcggacctactatgagggacctggcgagg


gcagccccttcggctggaaggacatcaaagaatggtacgagatgctgatgggccactgcacctacttccc


cgaggaactgcggagcgtgaagtacgcctacaacgccgacctgtacaacgccctgaacgacctgaacaat


ctcgtgatcaccagggacgagaacgagaagctggaatattacgagaagttccagatcatcgagaacgtgt


tcaagcagaagaagaagcccaccctgaagcagatcgccaaagaaatcctcgtgaacgaagaggatattaa


gggctacagagtgaccagcaccggcaagcccgagttcaccaacctgaaggtgtaccacgacatcaaggac


attaccgcccggaaagagattattgagaacgccgagctgctggatcagattgccaagatcctgaccatct


accagagcagcgaggacatccaggaagaactgaccaatctgaactccgagctgacccaggaagagatcga


gcagatctctaatctgaagggctataccggcacccacaacctgagcctgaaggccatcaacctgatcctg


gacgagctgtggcacaccaacgacaaccagatcgctatcttcaaccggctgaagctggtgcccaagaagg


tggacctgtcccagcagaaagagatccccaccaccctggtggacgacttcatcctgagccccgtcgtgaa


gagaagcttcatccagagcatcaaagtgatcaacgccatcatcaagaagtacggcctgcccaacgacatc


attatcgagctggcccgcgagaagaactccaaggacgcccagaaaatgatcaacgagatgcagaagcgga


accggcagaccaacgagcggatcgaggaaatcatccggaccaccggcaaagagaacgccaagtacctgat


cgagaagatcaagctgcacgacatgcaggaaggcaagtgcctgtacagcctggaagccatccctctggaa


gatctgctgaacaaccccttcaactatgaggtggaccacatcatccccagaagcgtgtccttcgacaaca


gcttcaacaacaaggtgctcgtgaagcaggaagaaaacagcaagaagggcaaccggaccccattccagta


cctgagcagcagcgacagcaagatcagctacgaaaccttcaagaagcacatcctgaatctggccaagggc


aagggcagaatcagcaagaccaagaaagagtatctgctggaagaacgggacatcaacaggttctccgtgc


agaaagacttcatcaaccggaacctggtggataccagatacgccaccagaggcctgatgaacctgctgcg


gagctacttcagagtgaacaacctggacgtgaaagtgaagtccatcaatggcggcttcaccagctttctg


cggcggaagtggaagtttaagaaagagcggaacaaggggtacaagcaccacgccgaggacgccctgatca


ttgccaacgccgatttcatcttcaaagagtggaagaaactggacaaggccaaaaaagtgatggaaaacca


gatgttcgaggaaaagcaggccgagagcatgcccgagatcgaaaccgagcaggagtacaaagagatcttc


atcaccccccaccagatcaagcacattaaggacttcaaggactacaagtacagccaccgggtggacaaga


agcctaatagagagctgattaacgacaccctgtactccacccggaaggacgacaagggcaacaccctgat


cgtgaacaatctgaacggcctgtacgacaaggacaatgacaagctgaaaaagctgatcaacaagagcccc


gaaaagctgctgatgtaccaccacgacccccagacctaccagaaactgaagctgattatggaacagtacg


gcgacgagaagaatcccctgtacaagtactacgaggaaaccgggaactacctgaccaagtactccaaaaa


ggacaacggccccgtgatcaagaagattaagtattacggcaacaaactgaacgcccatctggacatcacc


gacgactaccccaacagcagaaacaaggtcgtgaagctgtccctgaagccctacagattcgacgtgtacc


tggacaatggcgtgtacaagttcgtgaccgtgaagaatctggatgtgatcaaaaaagaaaactactacga


agtgaatagcaagtgctatgaggaagctaagaagctgaagaagatcagcaaccaggccgagtttatcgcc


tccttctacaacaacgatctgatcaagatcaacggcgagctgtatagagtgatcggcgtgaacaacgacc


tgctgaaccggatcgaagtgaacatgatcgacatcacctaccgcgagtacctggaaaacatgaacgacaa


gaggccccccaggatcattaagacaatcgcctccaagacccagagcattaagaagtacagcacagacatt


ctgggcaacctgtatgaagtgaaatctaagaagcaccctcagatcatcaaaaagggcaaaaggccggcgg


ccacgaaaaaggccggccaggcaaaaaagaaaaag





SEQ ID NO: 33


codon optimized nucleic acid sequences encoding S. aureus Cas9


aagcggaactacatcctgggcctggacatcggcatcaccagcgtgggctacggcatcatcgactacgaga


cacgggacgtgatcgatgccggcgtgcggctgttcaaagaggccaacgtggaaaacaacgagggcaggcg


gagcaagagaggcgccagaaggctgaagcggcggaggcggcatagaatccagagagtgaagaagctgctg


ttcgactacaacctgctgaccgaccacagcgagctgagcggcatcaacccctacgaggccagagtgaagg


gcctgagccagaagctgagcgaggaagagttctctgccgccctgctgcacctggccaagagaagaggcgt


gcacaacgtgaacgaggtggaagaggacaccggcaacgagctgtccaccaaagagcagatcagccggaac


agcaaggccctggaagagaaatacgtggccgaactgcagctggaacggctgaagaaagacggcgaagtgc


ggggcagcatcaacagattcaagaccagcgactacgtgaaagaagccaaacagctgctgaaggtgcagaa


ggcctaccaccagctggaccagagcttcatcgacacctacatcgacctgctggaaacccggcggacctac


tatgagggacctggcgagggcagccccttcggctggaaggacatcaaagaatggtacgagatgctgatgg


gccactgcacctacttccccgaggaactgcggagcgtgaagtacgcctacaacgccgacctgtacaacgc


cctgaacgacctgaacaatctcgtgatcaccagggacgagaacgagaagctggaatattacgagaagttc


cagatcatcgagaacgtgttcaagcagaagaagaagcccaccctgaagcagatcgccaaagaaatcctcg


tgaacgaagaggatattaagggctacagagtgaccagcaccggcaagcccgagttcaccaacctgaaggt


gtaccacgacatcaaggacattaccgcccggaaagagattattgagaacgccgagctgctggatcagatt


gccaagatcctgaccatctaccagagcagcgaggacatccaggaagaactgaccaatctgaactccgagc


tgacccaggaagagatcgagcagatctctaatctgaagggctataccggcacccacaacctgagcctgaa


ggccatcaacctgatcctggacgagctgtggcacaccaacgacaaccagatcgctatcttcaaccggctg


aagctggtgcccaagaaggtggacctgtcccagcagaaagagatccccaccaccctggtggacgacttca


tcctgagccccgtcgtgaagagaagcttcatccagagcatcaaagtgatcaacgccatcatcaagaagta


cggcctgcccaacgacatcattatcgagctggcccgcgagaagaactccaaggacgcccagaaaatgatc


aacgagatgcagaagcggaaccggcagaccaacgagcggatcgaggaaatcatccggaccaccggcaaag


agaacgccaagtacctgatcgagaagatcaagctgcacgacatgcaggaaggcaagtgcctgtacagcct


ggaagccatccctctggaagatctgctgaacaaccccttcaactatgaggtggaccacatcatccccaga


agcgtgtccttcgacaacagcttcaacaacaaggtgctcgtgaagcaggaagaaaacagcaagaagggca


accggaccccattccagtacctgagcagcagcgacagcaagatcagctacgaaaccttcaagaagcacat


cctgaatctggccaagggcaagggcagaatcagcaagaccaagaaagagtatctgctggaagaacgggac


atcaacaggttctccgtgcagaaagacttcatcaaccggaacctggtggataccagatacgccaccagag


gcctgatgaacctgctgcggagctacttcagagtgaacaacctggacgtgaaagtgaagtccatcaatgg


cggcttcaccagctttctgcggcggaagtggaagtttaagaaagagcggaacaaggggtacaagcaccac


gccgaggacgccctgatcattgccaacgccgatttcatcttcaaagagtggaagaaactggacaaggcca


aaaaagtgatggaaaaccagatgttcgaggaaaagcaggccgagagcatgcccgagatcgaaaccgagca


ggagtacaaagagatcttcatcaccccccaccagatcaagcacattaaggacttcaaggactacaagtac


agccaccgggtggacaagaagcctaatagagagctgattaacgacaccctgtactccacccggaaggacg


acaagggcaacaccctgatcgtgaacaatctgaacggcctgtacgacaaggacaatgacaagctgaaaaa


gctgatcaacaagagccccgaaaagctgctgatgtaccaccacgacccccagacctaccagaaactgaag


ctgattatggaacagtacggcgacgagaagaatcccctgtacaagtactacgaggaaaccgggaactacc


tgaccaagtactccaaaaaggacaacggccccgtgatcaagaagattaagtattacggcaacaaactgaa


cgcccatctggacatcaccgacgactaccccaacagcagaaacaaggtcgtgaagctgtccctgaagccc


tacagattcgacgtgtacctggacaatggcgtgtacaagttcgtgaccgtgaagaatctggatgtgatca


aaaaagaaaactactacgaagtgaatagcaagtgctatgaggaagctaagaagctgaagaagatcagcaa


ccaggccgagtttatcgcctccttctacaacaacgatctgatcaagatcaacggcgagctgtatagagtg


atcggcgtgaacaacgacctgctgaaccggatcgaagtgaacatgatcgacatcacctaccgcgagtacc


tggaaaacatgaacgacaagaggccccccaggatcattaagacaatcgcctccaagacccagagcattaa


gaagtacagcacagacattctgggcaacctgtatgaagtgaaatctaagaagcaccctcagatcatcaaa


aagggc





SEQ ID NO: 34


Vector (pDO242) encoding codon optimized nucleic acid sequence encoding S. aureus Cas9


ctaaattgtaagcgttaatattttttaaaattcgcgttaaatttttgttaaatcagctcattttttaac


caataggccgaaatcggcaaaatcccttataaatcaaaagaatagaccgagatagggttgagtgttgttc


cagtttggaacaagagtccactattaaagaacgtggactccaacgtcaaagggcgaaaaaccgtctatca


gggcgatggcccactacgtgaaccatcaccctaatcaagttttttggggtcgaggtgccgtaaagcacta


aatcggaaccctaaagggagcccccgatttagagcttgacggggaaagccggcgaacgtggcgagaaagg


aagggaagaaagcgaaaggagcgggcgctagggcgctggcaagtgtagcggtcacgctgcgcgtaaccac


cacacccgccgcgcttaatgcgccgctacagggcgcgtcccattcgccattcaggctgcgcaactgttgg


gaagggcgatcggtgcgggcctcttcgctattacgccagctggcgaaagggggatgtgctgcaaggcgat


taagttgggtaacgccagggttttcccagtcacgacgttgtaaaacgacggccagtgagcgcgcgtaata


cgactcactatagggcgaattgggtacCtttaattctagtactatgcaTgcgttgacattgattattgac


tagttattaatagtaatcaattacggggtcattagttcatagcccatatatggagttccgcgttacataa


cttacggtaaatggcccgcctggctgaccgcccaacgacccccgcccattgacgtcaataatgacgtatg


ttcccatagtaacgccaatagggactttccattgacgtcaatgggtggagtatttacggtaaactgccca


cttggcagtacatcaagtgtatcatatgccaagtacgccccctattgacgtcaatgacggtaaatggccc


gcctggcattatgcccagtacatgaccttatgggactttcctacttggcagtacatctacgtattagtca


tcgctattaccatggtgatgcggttttggcagtacatcaatgggcgtggatagcggtttgactcacgggg


atttccaagtctccaccccattgacgtcaatgggagtttgttttggcaccaaaatcaacgggactttcca


aaatgtcgtaacaactccgccccattgacgcaaatgggcggtaggcgtgtacggtgggaggtctatataa


gcagagctctctggctaactaccggtgccaccATGAAAAGGAACTACATTCTGGGGCTGGACATCGGGAT


TACAAGCGTGGGGTATGGGATTATTGACTATGAAACAAGGGACGTGATCGACGCAGGCGTCAGACTGTTC


AAGGAGGCCAACGTGGAAAACAATGAGGGACGGAGAAGCAAGAGGGGAGCCAGGCGCCTGAAACGACGGA


GAAGGCACAGAATCCAGAGGGTGAAGAAACTGCTGTTCGATTACAACCTGCTGACCGACCATTCTGAGCT


GAGTGGAATTAATCCTTATGAAGCCAGGGTGAAAGGCCTGAGTCAGAAGCTGTCAGAGGAAGAGTTTTCC


GCAGCTCTGCTGCACCTGGCTAAGCGCCGAGGAGTGCATAACGTCAATGAGGTGGAAGAGGACACCGGCA


ACGAGCTGTCTACAAAGGAACAGATCTCACGCAATAGCAAAGCTCTGGAAGAGAAGTATGTCGCAGAGCT


GCAGCTGGAACGGCTGAAGAAAGATGGCGAGGTGAGAGGGTCAATTAATAGGTTCAAGACAAGCGACTAC


GTCAAAGAAGCCAAGCAGCTGCTGAAAGTGCAGAAGGCTTACCACCAGCTGGATCAGAGCTTCATCGATA


CTTATATCGACCTGCTGGAGACTCGGAGAACCTACTATGAGGGACCAGGAGAAGGGAGCCCCTTCGGATG


GAAAGACATCAAGGAATGGTACGAGATGCTGATGGGACATTGCACCTATTTTCCAGAAGAGCTGAGAAGC


GTCAAGTACGCTTATAACGCAGATCTGTACAACGCCCTGAATGACCTGAACAACCTGGTCATCACCAGGG


ATGAAAACGAGAAACTGGAATACTATGAGAAGTTCCAGATCATCGAAAACGTGTTTAAGCAGAAGAAAAA


GCCTACACTGAAACAGATTGCTAAGGAGATCCTGGTCAACGAAGAGGACATCAAGGGCTACCGGGTGACA


AGCACTGGAAAACCAGAGTTCACCAATCTGAAAGTGTATCACGATATTAAGGACATCACAGCACGGAAAG


AAATCATTGAGAACGCCGAACTGCTGGATCAGATTGCTAAGATCCTGACTATCTACCAGAGCTCCGAGGA


CATCCAGGAAGAGCTGACTAACCTGAACAGCGAGCTGACCCAGGAAGAGATCGAACAGATTAGTAATCTG


AAGGGGTACACCGGAACACACAACCTGTCCCTGAAAGCTATCAATCTGATTCTGGATGAGCTGTGGCATA


CAAACGACAATCAGATTGCAATCTTTAACCGGCTGAAGCTGGTCCCAAAAAAGGTGGACCTGAGTCAGCA


GAAAGAGATCCCAACCACACTGGTGGACGATTTCATTCTGTCACCCGTGGTCAAGCGGAGCTTCATCCAG


AGCATCAAAGTGATCAACGCCATCATCAAGAAGTACGGCCTGCCCAATGATATCATTATCGAGCTGGCTA


GGGAGAAGAACAGCAAGGACGCACAGAAGATGATCAATGAGATGCAGAAACGAAACCGGCAGACCAATGA


ACGCATTGAAGAGATTATCCGAACTACCGGGAAAGAGAACGCAAAGTACCTGATTGAAAAAATCAAGCTG


CACGATATGCAGGAGGGAAAGTGTCTGTATTCTCTGGAGGCCATCCCCCTGGAGGACCTGCTGAACAATC


CATTCAACTACGAGGTCGATCATATTATCCCCAGAAGCGTGTCCTTCGACAATTCCTTTAACAACAAGGT


GCTGGTCAAGCAGGAAGAGAACTCTAAAAAGGGCAATAGGACTCCTTTCCAGTACCTGTCTAGTTCAGAT


TCCAAGATCTCTTACGAAACCTTTAAAAAGCACATTCTGAATCTGGCCAAAGGAAAGGGCCGCATCAGCA


AGACCAAAAAGGAGTACCTGCTGGAAGAGCGGGACATCAACAGATTCTCCGTCCAGAAGGATTTTATTAA


CCGGAATCTGGTGGACACAAGATACGCTACTCGCGGCCTGATGAATCTGCTGCGATCCTATTTCCGGGTG


AACAATCTGGATGTGAAAGTCAAGTCCATCAACGGCGGGTTCACATCTTTTCTGAGGCGCAAATGGAAGT


TTAAAAAGGAGCGCAACAAAGGGTACAAGCACCATGCCGAAGATGCTCTGATTATCGCAAATGCCGACTT


CATCTTTAAGGAGTGGAAAAAGCTGGACAAAGCCAAGAAAGTGATGGAGAACCAGATGTTCGAAGAGAAG


CAGGCCGAATCTATGCCCGAAATCGAGACAGAACAGGAGTACAAGGAGATTTTCATCACTCCTCACCAGA


TCAAGCATATCAAGGATTTCAAGGACTACAAGTACTCTCACCGGGTGGATAAAAAGCCCAACAGAGAGCT


GATCAATGACACCCTGTATAGTACAAGAAAAGACGATAAGGGGAATACCCTGATTGTGAACAATCTGAAC


GGACTGTACGACAAAGATAATGACAAGCTGAAAAAGCTGATCAACAAAAGTCCCGAGAAGCTGCTGATGT


ACCACCATGATCCTCAGACATATCAGAAACTGAAGCTGATTATGGAGCAGTACGGCGACGAGAAGAACCC


ACTGTATAAGTACTATGAAGAGACTGGGAACTACCTGACCAAGTATAGCAAAAAGGATAATGGCCCCGTG


ATCAAGAAGATCAAGTACTATGGGAACAAGCTGAATGCCCATCTGGACATCACAGACGATTACCCTAACA


GTCGCAACAAGGTGGTCAAGCTGTCACTGAAGCCATACAGATTCGATGTCTATCTGGACAACGGCGTGTA


TAAATTTGTGACTGTCAAGAATCTGGATGTCATCAAAAAGGAGAACTACTATGAAGTGAATAGCAAGTGC


TACGAAGAGGCTAAAAAGCTGAAAAAGATTAGCAACCAGGCAGAGTTCATCGCCTCCTTTTACAACAACG


ACCTGATTAAGATCAATGGCGAACTGTATAGGGTCATCGGGGTGAACAATGATCTGCTGAACCGCATTGA


AGTGAATATGATTGACATCACTTACCGAGAGTATCTGGAAAACATGAATGATAAGCGCCCCCCTCGAATT


ATCAAAACAATTGCCTCTAAGACTCAGAGTATCAAAAAGTACTCAACCGACATTCTGGGAAACCTGTATG


AGGTGAAGAGCAAAAAGCACCCTCAGATTATCAAAAAGGGCagcggaggcaagcgtcctgctgctactaa


gaaagctggtcaagctaagaaaaagaaaggatcctacccatacgatgttccagattacgcttaagaattc


ctagagctcgctgatcagcctcgactgtgccttctagttgccagccatctgttgtttgcccctcccccgt


gccttccttgaccctggaaggtgccactcccactgtcctttcctaataaaatgaggaaattgcatcgcat


tgtctgagtaggtgtcattctattctggggggtggggggggcaggacagcaagggggaggattgggaag


agaatagcaggcatgctggggaggtagcggccgcCCgcggtggagctccagcttttgttccctttagtga


gggttaattgcgcgcttggcgtaatcatggtcatagctgtttcctgtgtgaaattgttatccgctcacaa


ttccacacaacatacgagccggaagcataaagtgtaaagcctggggtgcctaatgagtgagctaactcac


attaattgcgttgcgctcactgcccgctttccagtcgggaaacctgtcgtgccagctgcattaatgaatc


ggccaacgcgcggggagaggcggtttgcgtattgggcgctcttccgcttcctcgctcactgactcgctgc


gctcggtcgttcggctgcggcgagcggtatcagctcactcaaaggcggtaatacggttatccacagaatc


aggggataacgcaggaaagaacatgtgagcaaaaggccagcaaaaggccaggaaccgtaaaaaggccgcg


ttgctggcgtttttccataggctccgcccccctgacgagcatcacaaaaatcgacgctcaagtcagaggt


ggcgaaacccgacaggactataaagataccaggcgtttccccctggaagctccctcgtgcgctctcctgt


tccgaccctgccgcttaccggatacctgtccgcctttctcccttcgggaagcgtggcgctttctcatagc


tcacgctgtaggtatctcagttcggtgtaggtcgttcgctccaagctgggctgtgtgcacgaaccccccg


ttcagcccgaccgctgcgccttatccggtaactatcgtcttgagtccaacccggtaagacacgacttatc


gccactggcagcagccactggtaacaggattagcagagcgaggtatgtaggcggtgctacagagttcttg


aagtggtggcctaactacggctacactagaaggacagtatttggtatctgcgctctgctgaagccagtta


ccttcggaaaaagagttggtagctcttgatccggcaaacaaaccaccgctggtagcggtggtttttttgt


ttgcaagcagcagattacgcgcagaaaaaaaggatctcaagaagatcctttgatcttttctacggggtct


gacgctcagtggaacgaaaactcacgttaagggattttggtcatgagattatcaaaaaggatcttcacct


agatccttttaaattaaaaatgaagttttaaatcaatctaaagtatatatgagtaaacttggtctgacag


ttaccaatgcttaatcagtgaggcacctatctcagcgatctgtctatttcgttcatccatagttgcctga


ctccccgtcgtgtagataactacgatacgggagggcttaccatctggccccagtgctgcaatgataccgc


gagacccacgctcaccggctccagatttatcagcaataaaccagccagccggaagggccgagcgcagaag


tggtcctgcaactttatccgcctccatccagtctattaattgttgccgggaagctagagtaagtagttcg


ccagttaatagtttgcgcaacgttgttgccattgctacaggcatcgtggtgtcacgctcgtcgtttggta


tggcttcattcagctccggttcccaacgatcaaggcgagttacatgatcccccatgttgtgcaaaaaagc


ggttagctccttcggtcctccgatcgttgtcagaagtaagttggccgcagtgttatcactcatggttatg


gcagcactgcataattctcttactgtcatgccatccgtaagatgcttttctgtgactggtgagtactcaa


ccaagtcattctgagaatagtgtatgcggcgaccgagttgctcttgcccggcgtcaatacgggataatac


cgcgccacatagcagaactttaaaagtgctcatcattggaaaacgttcttcggggcgaaaactctcaagg


atcttaccgctgttgagatccagttcgatgtaacccactcgtgcacccaactgatcttcagcatctttta


ctttcaccagcgtttctgggtgagcaaaaacaggaaggcaaaatgccgcaaaaaagggaataagggcgac


acggaaatgttgaatactcatactcttcctttttcaatattattgaagcatttatcagggttattgtctc


atgagcggatacatatttgaatgtatttagaaaaataaacaaataggggttccgcgcacatttccccgaa


aagtgccac





SEQ ID NO: 35


Human p300 (with L553M mutation) protein


MAENVVEPGPPSAKRPKLSSPALSASASDGTDFGSLEDLEHDLPDELINSTELGLINGGDINQLQTSLGM


VQDAASKHKQLSELLRSGSSPNLNMGVGGPGQVMASQAQQSSPGLGLINSMVKSPMTQAGLTSPNMGMGT


SGPNQGPTQSTGMMNSPVNQPAMGMNTGMNAGMNPGMLAAGNGQGIMPNQVMNGSIGAGRGRQNMQYPNP


GMGSAGNLLTEPLQQGSPQMGGQTGLRGPQPLKMGMMNNPNPYGSPYTQNPGQQIGASGLGLQIQTKTVL


SNNLSPFAMDKKAVPGGGMPNMGQQPAPQVQQPGLVTPVAQGMGSGAHTADPEKRKLIQQQLVLLLHAHK


CQRREQANGEVRQCNLPHCRTMKNVLNHMTHCQSGKSCQVAHCASSRQIISHWKNCTRHDCPVCLPLKNA


GDKRNQQPILTGAPVGLGNPSSLGVGQQSAPNLSTVSQIDPSSIERAYAALGLPYQVNQMPTQPQVQAKN


QQNQQPGQSPQGMRPMSNMSASPMGVNGGVGVQTPSLLSDSMLHSAINSQNPMMSENASVPSMGPMPTAA


QPSTTGIRKQWHEDITQDLRNHLVHKLVQAIFPTPDPAALKDRRMENLVAYARKVEGDMYESANNRAEYY


HLLAEKIYKIQKELEEKRRTRLQKQNMLPNAAGMVPVSMNPGPNMGQPQPGMTSNGPLPDPSMIRGSVPN


QMMPRITPQSGLNQFGQMSMAQPPIVPRQTPPLQHHGQLAQPGALNPPMGYGPRMQQPSNQGQFLPQTQF


PSQGMNVTNIPLAPSSGQAPVSQAQMSSSSCPVNSPIMPPGSQGSHIHCPQLPQPALHQNSPSPVPSRTP


TPHHTPPSIGAQQPPATTIPAPVPTPPAMPPGPQSQALHPPPRQTPTPPTTQLPQQVQPSLPAAPSADQP


QQQPRSQQSTAASVPTPTAPLLPPQPATPLSQPAVSIEGQVSNPPSTSSTEVNSQAIAEKQPSQEVKMEA


KMEVDQPEPADTQPEDISESKVEDCKMESTETEERSTELKTEIKEEEDQPSTSATQSSPAPGQSKKKIFK


PEELRQALMPTLEALYRQDPESLPFRQPVDPQLLGIPDYFDIVKSPMDLSTIKRKLDTGQYQEPWQYVDD


IWLMENNAWLYNRKTSRVYKYCSKLSEVFEQEIDPVMQSLGYCCGRKLEFSPQTLCCYGKQLCTIPRDAT


YYSYQNRYHFCEKCFNEIQGESVSLGDDPSQPQTTINKEQFSKRKNDTLDPELFVECTECGRKMHQICVL


HHEIIWPAGFVCDGCLKKSARTRKENKFSAKRLPSTRLGTFLENRVNDELRRQNHPESGEVTVRVVHASD


KTVEVKPGMKARFVDSGEMAESFPYRTKALFAFEEIDGVDLCFFGMHVQEYGSDCPPPNQRRVYISYLDS


VHFFRPKCLRTAVYHEILIGYLEYVKKLGYTTGHIWACPPSEGDDYIFHCHPPDQKIPKPKRLQEWYKKM


LDKAVSERIVHDYKDIFKQATEDRLTSAKELPYFEGDFWPNVLEESIKELEQEEEERKREENTSNESTDV


TKGDSKNAKKKNNKKTSKNKSSLSRGNKKKPGMPNVSNDLSQKLYATMEKHKEVFFVIRLIAGPAANSLP


PIVDPDPLIPCDLMDGRDAFLTLARDKHLEFSSLRRAQWSTMCMLVELHTQSQDRFVYTCNECKHHVETR


WHCTVCEDYDLCITCYNTKNHDHKMEKLGLGLDDESNNQQAAATQSPGDSRRLSIQRCIQSLVHACQCRN


ANCSLPSCQKMKRVVQHTKGCKRKTNGGCPICKQLIALCCYHAKHCQENKCPVPFCLNIKQKLRQQQLQH


RLQQAQMLRRRMASMQRTGVVGQQQGLPSPTPATPTTPTGQQPTTPQTPQPTSQPQPTPPNSMPPYLPRT


QAAGPVSQGKAAGQVTPPTPPQTAQPPLPGPPPAAVEMAMQIQRAAETQRQMAHVQIFQRPIQHQMPPMT


PMAPMGMNPPPMTRGPSGHLEPGMGPTGMQQQPPWSQGGLPQPQQLQSGMPRPAMMSVAQHGQPLNMAPQ


PGLGQVGISPLKPGTVSQQALQNLLRTLRSPSSPLQQQQVLSILHANPQLLAAFIKQRAAKYANSNPQPI


PGQPGMPQGQPGLQPPTMPGQQGVHSNPAMQNMNPMQAGVQRAGLPQQQPQQQLQPPMGGMSPQAQQMNM


NHNTMPSQFRDILRRQQMMQQQQQQGAGPGIGPGMANHNQFQQPQGVGYPPQQQQRMQHHMQQMQQGNMG


QIGQLPQALGAEAGASLQAYQQRLLQQQMGSPVQPNPMSPQQHMLPNQAQSPHLQGQQIPNSLSNQVRSP


QPVPSPRPQSQPPHSSPSPRMQPQPSPHHVSPQTSSPHPGLVAAQANPMEQGHFASPDQNSMLSQLASNP


GMANLHGASATDLGLSTDNSDLNSNLSQSTLDIH





SEQ ID NO: 36


Human p300 Core Effector protein (aa 1048-1664 of SEQ ID NO: 35)


IFKPEELRQALMPTLEALYRQDPESLPFRQPVDPQLLGIPDYFDIVKSPMDLSTIKRKLDTGQYQEPWQY


VDDIWLMENNAWLYNRKTSRVYKYCSKLSEVFEQEIDPVMQSLGYCCGRKLEFSPQTLCCYGKQLCTIPR


DATYYSYQNRYHFCEKCFNEIQGESVSLGDDPSQPQTTINKEQFSKRKNDTLDPELFVECTECGRKMHQI


CVLHHEIIWPAGFVCDGCLKKSARTRKENKFSAKRLPSTRLGTFLENRVNDELRRQNHPESGEVTVRVVH


ASDKTVEVKPGMKARFVDSGEMAESFPYRTKALFAFEEIDGVDLCFFGMHVQEYGSDCPPPNQRRVYISY


LDSVHFFRPKCLRTAVYHEILIGYLEYVKKLGYTTGHIWACPPSEGDDYIFHCHPPDQKIPKPKRLQEWY


KKMLDKAVSERIVHDYKDIFKQATEDRLTSAKELPYFEGDEWPNVLEESIKELEQEEEERKREENTSNES


TDVTKGDSKNAKKKNNKKTSKNKSSLSRGNKKKPGMPNVSNDLSQKLYATMEKHKEVFFVIRLIAGPAAN


SLPPIVDPDPLIPCDLMDGRDAFLTLARDKHLEFSSLRRAQWSTMCMLVELHTQSQD





SEQ ID NO: 37


VP64-dCas9-VP64 protein


RADALDDEDLDMLGSDALDDEDLDMLGSDALDDEDLDMLGSDALDDEDLDMVNPKKKRKVGRGMDKKYSI


GLAIGTNSVGWAVITDEYKVPSKKFKVLGNTDRHSIKKNLIGALLFDSGETAEATRLKRTARRRYTRRKN


RICYLQEIFSNEMAKVDDSFFHRLEESELVEEDKKHERHPIFGNIVDEVAYHEKYPTIYHLRKKLVDSTD


KADLRLIYLALAHMIKERGHFLIEGDLNPDNSDVDKLFIQLVQTYNQLFEENPINASGVDAKAILSARLS


KSRRLENLIAQLPGEKKNGLFGNLIALSLGLTPNFKSNFDLAEDAKLQLSKDTYDDDLDNLLAQIGDQYA


DLFLAAKNLSDAILLSDILRVNTEITKAPLSASMIKRYDEHHQDLTLLKALVRQQLPEKYKEIFFDQSKN


GYAGYIDGGASQEEFYKFIKPILEKMDGTEELLVKLNREDLLRKQRTEDNGSIPHQIHLGELHAILRRQE


DFYPELKDNREKIEKILTFRIPYYVGPLARGNSRFAWMTRKSEETITPWNFEEVVDKGASAQSFIERMTN


FDKNLPNEKVLPKHSLLYEYFTVYNELTKVKYVTEGMRKPAFLSGEQKKAIVDLLFKTNRKVTVKQLKED


YFKKIECFDSVEISGVEDRENASLGTYHDLLKIIKDKDELDNEENEDILEDIVLTLTLFEDREMIEERLK


TYAHLFDDKVMKQLKRRRYTGWGRLSRKLINGIRDKQSGKTILDELKSDGFANRNFMQLIHDDSLTFKED


IQKAQVSGQGDSLHEHIANLAGSPAIKKGILQTVKVVDELVKVMGRHKPENIVIEMARENQTTQKGQKNS


RERMKRIEEGIKELGSQILKEHPVENTQLQNEKLYLYYLQNGRDMYVDQELDINRLSDYDVDAIVPQSFL


KDDSIDNKVLTRSDKNRGKSDNVPSEEVVKKMKNYWRQLLNAKLITQRKEDNLTKAERGGLSELDKAGFI


KRQLVETRQITKHVAQILDSRMNTKYDENDKLIREVKVITLKSKLVSDERKDFQFYKVREINNYHHAHDA


YLNAVVGTALIKKYPKLESEFVYGDYKVYDVRKMIAKSEQEIGKATAKYFFYSNIMNFFKTEITLANGEI


RKRPLIETNGETGEIVWDKGRDFATVRKVLSMPQVNIVKKTEVQTGGFSKESILPKRNSDKLIARKKDWD


PKKYGGFDSPTVAYSVLVVAKVEKGKSKKLKSVKELLGITIMERSSFEKNPIDFLEAKGYKEVKKDLIIK


LPKYSLFELENGRKRMLASAGELQKGNELALPSKYVNFLYLASHYEKLKGSPEDNEQKQLFVEQHKHYLD


EIIEQISEFSKRVILADANLDKVLSAYNKHRDKPIREQAENIIHLETLTNLGAPAAFKYEDTTIDRKRYT


STKEVLDATLIHQSITGLYETRIDLSQLGGDSRADPKKKRKVASRADALDDFDLDMLGSDALDDEDLDML


GSDALDDFDLDMLGSDALDDEDLDMLI





SEQ ID NO: 38


VP64-dCas9-VP64 DNA


cgggctgacgcattggacgattttgatctggatatgctgggaagtgacgccctcgatgattttgaccttg


acatgcttggttcggatgcccttgatgactttgacctcgacatgctcggcagtgacgcccttgatgattt


cgacctggacatggttaaccccaagaagaagaggaaggtgggccgcggaatggacaagaagtactccatt


gggctcgccatcggcacaaacagcgtcggctgggccgtcattacggacgagtacaaggtgccgagcaaaa


aattcaaagttctgggcaataccgatcgccacagcataaagaagaacctcattggcgccctcctgttcga


ctccggggaaaccgccgaagccacgcggctcaaaagaacagcacggcgcagatatacccgcagaaagaat


cggatctgctacctgcaggagatctttagtaatgagatggctaaggtggatgactctttcttccataggc


tggaggagtcctttttggtggaggaggataaaaagcacgagcgccacccaatctttggcaatatcgtgga


cgaggtggcgtaccatgaaaagtacccaaccatatatcatctgaggaagaagcttgtagacagtactgat


aaggctgacttgcggttgatctatctcgcgctggcgcatatgatcaaatttcggggacacttcctcatcg


agggggacctgaacccagacaacagcgatgtcgacaaactctttatccaactggttcagacttacaatca


gcttttcgaagagaacccgatcaacgcatccggagttgacgccaaagcaatcctgagcgctaggctgtcc


aaatcccggcggctcgaaaacctcatcgcacagctccctggggagaagaagaacggcctgtttggtaatc


ttatcgccctgtcactcgggctgacccccaactttaaatctaacttcgacctggccgaagatgccaagct


tcaactgagcaaagacacctacgatgatgatctcgacaatctgctggcccagatcggcgaccagtacgca


gacctttttttggcggcaaagaacctgtcagacgccattctgctgagtgatattctgcgagtgaacacgg


agatcaccaaagctccgctgagcgctagtatgatcaagcgctatgatgagcaccaccaagacttgacttt


gctgaaggcccttgtcagacagcaactgcctgagaagtacaaggaaattttcttcgatcagtctaaaaat


ggctacgccggatacattgacggcggagcaagccaggaggaattttacaaatttattaagcccatcttgg


aaaaaatggacggcaccgaggagctgctggtaaagcttaacagagaagatctgttgcgcaaacagcgcac


tttcgacaatggaagcatcccccaccagattcacctgggcgaactgcacgctatcctcaggcggcaagag


gatttctacccctttttgaaagataacagggaaaagattgagaaaatcctcacatttcggataccctact


atgtaggccccctcgcccggggaaattccagattcgcgtggatgactcgcaaatcagaagagaccatcac


tccctggaacttcgaggaagtcgtggataagggggcctctgcccagtccttcatcgaaaggatgactaac


tttgataaaaatctgcctaacgaaaaggtgcttcctaaacactctctgctgtacgagtacttcacagttt


ataacgagctcaccaaggtcaaatacgtcacagaagggatgagaaagccagcattcctgtctggagagca


gaagaaagctatcgtggacctcctcttcaagacgaaccggaaagttaccgtgaaacagctcaaagaagac


tatttcaaaaagattgaatgtttcgactctgttgaaatcagcggagtggaggatcgcttcaacgcatccc


tgggaacgtatcacgatctcctgaaaatcattaaagacaaggacttcctggacaatgaggagaacgagga


cattcttgaggacattgtcctcacccttacgttgtttgaagatagggagatgattgaagaacgcttgaaa


acttacgctcatctcttcgacgacaaagtcatgaaacagctcaagaggcgccgatatacaggatgggggc


ggctgtcaagaaaactgatcaatgggatccgagacaagcagagtggaaagacaatcctggattttcttaa


gtccgatggatttgccaaccggaacttcatgcagttgatccatgatgactctctcacctttaaggaggac


atccagaaagcacaagtttctggccagggggacagtcttcacgagcacatcgctaatcttgcaggtagcc


cagctatcaaaaagggaatactgcagaccgttaaggtcgtggatgaactcgtcaaagtaatgggaaggca


taagcccgagaatatcgttatcgagatggcccgagagaaccaaactacccagaagggacagaagaacagt


agggaaaggatgaagaggattgaagagggtataaaagaactggggtcccaaatccttaaggaacacccag


ttgaaaacacccagcttcagaatgagaagctctacctgtactacctgcagaacggcagggacatgtacgt


ggatcaggaactggacatcaatcggctctccgactacgacgtggatgccatcgtgccccagtcttttctc


aaagatgattctattgataataaagtgttgacaagatccgataaaaatagagggaagagtgataacgtcc


cctcagaagaagttgtcaagaaaatgaaaaattattggcggcagctgctgaacgccaaactgatcacaca


acggaagttcgataatctgactaaggctgaacgaggtggcctgtctgagttggataaagccggcttcatc


aaaaggcagcttgttgagacacgccagatcaccaagcacgtggcccaaattctcgattcacgcatgaaca


ccaagtacgatgaaaatgacaaactgattcgagaggtgaaagttattactctgaagtctaagctggtctc


agatttcagaaaggactttcagttttataaggtgagagagatcaacaattaccaccatgcgcatgatgcc


tacctgaatgcagtggtaggcactgcacttatcaaaaaatatcccaagcttgaatctgaatttgtttacg


gagactataaagtgtacgatgttaggaaaatgatcgcaaagtctgagcaggaaataggcaaggccaccgc


taagtacttcttttacagcaatattatgaattttttcaagaccgagattacactggccaatggagagatt


cggaagcgaccacttatcgaaacaaacggagaaacaggagaaatcgtgtgggacaagggtagggatttcg


cgacagtccggaaggtcctgtccatgccgcaggtgaacatcgttaaaaagaccgaagtacagaccggagg


cttctccaaggaaagtatcctcccgaaaaggaacagcgacaagctgatcgcacgcaaaaaagattgggac


cccaagaaatacggcggattcgattctcctacagtcgcttacagtgtactggttgtggccaaagtggaga


aagggaagtctaaaaaactcaaaagcgtcaaggaactgctgggcatcacaatcatggagcgatcaagctt


cgaaaaaaaccccatcgactttctcgaggcgaaaggatataaagaggtcaaaaaagacctcatcattaag


cttcccaagtactctctctttgagcttgaaaacggccggaaacgaatgctcgctagtgcgggcgagctgc


agaaaggtaacgagctggcactgccctctaaatacgttaatttcttgtatctggccagccactatgaaaa


gctcaaagggtctcccgaagataatgagcagaagcagctgttcgtggaacaacacaaacactaccttgat


gagatcatcgagcaaataagcgaattctccaaaagagtgatcctcgccgacgctaacctcgataaggtgc


tttctgcttacaataagcacagggataagcccatcagggagcaggcagaaaacattatccacttgtttac


tctgaccaacttgggcgcgcctgcagccttcaagtacttcgacaccaccatagacagaaagcggtacacc


tctacaaaggaggtcctggacgccacactgattcatcagtcaattacggggctctatgaaacaagaatcg


acctctctcagctcggtggagacagcagggctgaccccaagaagaagaggaaggtggctagccgcgccga


cgcgctggacgatttcgatctcgacatgctgggttctgatgccctcgatgactttgacctggatatgttg


ggaagcgacgcattggatgactttgatctggacatgctcggctccgatgctctggacgatttcgatctcg


atatgttaatc





SEQ ID NO: 39


Polynucleotide sequence encoding Streptococcus pyogenes dCas9-KRAB


atggactacaaagaccatgacggtgattataaagatcatgacatcgattacaaggatgacgatgacaaga


tggcccccaagaagaagaggaaggtgggccgcggaatggacaagaagtactccattgggctcgccatcgg


cacaaacagcgtcggctgggccgtcattacggacgagtacaaggtgccgagcaaaaaattcaaagttctg


ggcaataccgatcgccacagcataaagaagaacctcattggcgccctcctgttcgactccggggaaaccg


ccgaagccacgcggctcaaaagaacagcacggcgcagatatacccgcagaaagaatcggatctgctacct


gcaggagatctttagtaatgagatggctaaggtggatgactctttcttccataggctggaggagtccttt


ttggtggaggaggataaaaagcacgagcgccacccaatctttggcaatatcgtggacgaggtggcgtacc


atgaaaagtacccaaccatatatcatctgaggaagaagcttgtagacagtactgataaggctgacttgcg


gttgatctatctcgcgctggcgcatatgatcaaatttcggggacacttcctcatcgagggggacctgaac


ccagacaacagcgatgtcgacaaactctttatccaactggttcagacttacaatcagcttttcgaagaga


acccgatcaacgcatccggagttgacgccaaagcaatcctgagcgctaggctgtccaaatcccggcggct


cgaaaacctcatcgcacagctccctggggagaagaagaacggcctgtttggtaatcttatcgccctgtca


ctcgggctgacccccaactttaaatctaacttcgacctggccgaagatgccaagcttcaactgagcaaag


acacctacgatgatgatctcgacaatctgctggcccagatcggcgaccagtacgcagacctttttttggc


ggcaaagaacctgtcagacgccattctgctgagtgatattctgcgagtgaacacggagatcaccaaagct


ccgctgagcgctagtatgatcaagcgctatgatgagcaccaccaagacttgactttgctgaaggcccttg


tcagacagcaactgcctgagaagtacaaggaaattttcttcgatcagtctaaaaatggctacgccggata


cattgacggcggagcaagccaggaggaattttacaaatttattaagcccatcttggaaaaaatggacggc


accgaggagctgctggtaaagcttaacagagaagatctgttgcgcaaacagcgcactttcgacaatggaa


gcatcccccaccagattcacctgggcgaactgcacgctatcctcaggcggcaagaggatttctacccctt


tttgaaagataacagggaaaagattgagaaaatcctcacatttcggataccctactatgtaggccccctc


gcccggggaaattccagattcgcgtggatgactcgcaaatcagaagagaccatcactccctggaacttcg


aggaagtcgtggataagggggcctctgcccagtccttcatcgaaaggatgactaactttgataaaaatct


gcctaacgaaaaggtgcttcctaaacactctctgctgtacgagtacttcacagtttataacgagctcacc


aaggtcaaatacgtcacagaagggatgagaaagccagcattcctgtctggagagcagaagaaagctatcg


tggacctcctcttcaagacgaaccggaaagttaccgtgaaacagctcaaagaagactatttcaaaaagat


tgaatgtttcgactctgttgaaatcagcggagtggaggatcgcttcaacgcatccctgggaacgtatcac


gatctcctgaaaatcattaaagacaaggacttcctggacaatgaggagaacgaggacattcttgaggaca


ttgtcctcacccttacgttgtttgaagatagggagatgattgaagaacgcttgaaaacttacgctcatct


cttcgacgacaaagtcatgaaacagctcaagaggcgccgatatacaggatgggggcggctgtcaagaaaa


ctgatcaatgggatccgagacaagcagagtggaaagacaatcctggattttcttaagtccgatggatttg


ccaaccggaacttcatgcagttgatccatgatgactctctcacctttaaggaggacatccagaaagcaca


agtttctggccagggggacagtcttcacgagcacatcgctaatcttgcaggtagcccagctatcaaaaag


ggaatactgcagaccgttaaggtcgtggatgaactcgtcaaagtaatgggaaggcataagcccgagaata


tcgttatcgagatggcccgagagaaccaaactacccagaagggacagaagaacagtagggaaaggatgaa


gaggattgaagagggtataaaagaactggggtcccaaatccttaaggaacacccagttgaaaacacccag


cttcagaatgagaagctctacctgtactacctgcagaacggcagggacatgtacgtggatcaggaactgg


acatcaatcggctctccgactacgacgtggatgccatcgtgccccagtcttttctcaaagatgattctat


tgataataaagtgttgacaagatccgataaaaatagagggaagagtgataacgtcccctcagaagaagtt


gtcaagaaaatgaaaaattattggcggcagctgctgaacgccaaactgatcacacaacggaagttcgata


atctgactaaggctgaacgaggtggcctgtctgagttggataaagccggcttcatcaaaaggcagcttgt


tgagacacgccagatcaccaagcacgtggcccaaattctcgattcacgcatgaacaccaagtacgatgaa


aatgacaaactgattcgagaggtgaaagttattactctgaagtctaagctggtctcagatttcagaaagg


actttcagttttataaggtgagagagatcaacaattaccaccatgcgcatgatgcctacctgaatgcagt


ggtaggcactgcacttatcaaaaaatatcccaagcttgaatctgaatttgtttacggagactataaagtg


tacgatgttaggaaaatgatcgcaaagtctgagcaggaaataggcaaggccaccgctaagtacttctttt


acagcaatattatgaattttttcaagaccgagattacactggccaatggagagattcggaagcgaccact


tatcgaaacaaacggagaaacaggagaaatcgtgtgggacaagggtagggatttcgcgacagtccggaag


gtcctgtccatgccgcaggtgaacatcgttaaaaagaccgaagtacagaccggaggcttctccaaggaaa


gtatcctcccgaaaaggaacagcgacaagctgatcgcacgcaaaaaagattgggaccccaagaaatacgg


cggattcgattctcctacagtcgcttacagtgtactggttgtggccaaagtggagaaagggaagtctaaa


aaactcaaaagcgtcaaggaactgctgggcatcacaatcatggagcgatcaagcttcgaaaaaaacccca


tcgactttctcgaggcgaaaggatataaagaggtcaaaaaagacctcatcattaagcttcccaagtactc


tctctttgagcttgaaaacggccggaaacgaatgctcgctagtgcgggcgagctgcagaaaggtaacgag


ctggcactgccctctaaatacgttaatttcttgtatctggccagccactatgaaaagctcaaagggtctc


ccgaagataatgagcagaagcagctgttcgtggaacaacacaaacactaccttgatgagatcatcgagca


aataagcgaattctccaaaagagtgatcctcgccgacgctaacctcgataaggtgctttctgcttacaat


aagcacagggataagcccatcagggagcaggcagaaaacattatccacttgtttactctgaccaacttgg


gcgcgcctgcagccttcaagtacttcgacaccaccatagacagaaagcggtacacctctacaaaggaggt


cctggacgccacactgattcatcagtcaattacggggctctatgaaacaagaatcgacctctctcagctc


ggtggagacagcagggctgaccccaagaagaagaggaaggtggctagcgatgctaagtcactgactgcct


ggtcccggacactggtgaccttcaaggatgtgtttgtggacttcaccagggaggagtggaagctgctgga


cactgctcagcagatcctgtacagaaatgtgatgctggagaactataagaacctggtttccttgggttat


cagcttactaagccagatgtgatcctccggttggagaagggagaagagccctggctggtggagagagaaa


ttcaccaagagacccatcctgattcagagactgcatttgaaatcaaatcatcagttccgaaaaagaaacg


caaagtttga





SEQ ID NO: 40


Polypeptide sequence of Streptococcus pyogenes dCas9-KRAB protein


MDYKDHDGDYKDHDIDYKDDDDKMAPKKKRKVGRGMDKKYSIGLAIGTNSVGWAVITDEYKVPSKKEKVL


GNTDRHSIKKNLIGALLEDSGETAEATRLKRTARRRYTRRKNRICYLQEIFSNEMAKVDDSFFHRLEESE


LVEEDKKHERHPIFGNIVDEVAYHEKYPTIYHLRKKLVDSTDKADLRLIYLALAHMIKERGHFLIEGDLN


PDNSDVDKLFIQLVQTYNQLFEENPINASGVDAKAILSARLSKSRRLENLIAQLPGEKKNGLFGNLIALS


LGLTPNFKSNEDLAEDAKLQLSKDTYDDDLDNLLAQIGDQYADLFLAAKNLSDAILLSDILRVNTEITKA


PLSASMIKRYDEHHQDLTLLKALVRQQLPEKYKEIFFDQSKNGYAGYIDGGASQEEFYKFIKPILEKMDG


TEELLVKLNREDLLRKQRTEDNGSIPHQIHLGELHAILRRQEDFYPFLKDNREKIEKILTFRIPYYVGPL


ARGNSRFAWMTRKSEETITPWNFEEVVDKGASAQSFIERMTNEDKNLPNEKVLPKHSLLYEYFTVYNELT


KVKYVTEGMRKPAFLSGEQKKAIVDLLFKTNRKVTVKQLKEDYFKKIECFDSVEISGVEDRENASLGTYH


DLLKIIKDKDELDNEENEDILEDIVLTLTLFEDREMIEERLKTYAHLEDDKVMKQLKRRRYTGWGRLSRK


LINGIRDKQSGKTILDELKSDGFANRNFMQLIHDDSLTFKEDIQKAQVSGQGDSLHEHIANLAGSPAIKK


GILQTVKVVDELVKVMGRHKPENIVIEMARENQTTQKGQKNSRERMKRIEEGIKELGSQILKEHPVENTQ


LQNEKLYLYYLQNGRDMYVDQELDINRLSDYDVDAIVPQSFLKDDSIDNKVLTRSDKNRGKSDNVPSEEV


VKKMKNYWRQLLNAKLITQRKFDNLTKAERGGLSELDKAGFIKRQLVETRQITKHVAQILDSRMNTKYDE


NDKLIREVKVITLKSKLVSDFRKDFQFYKVREINNYHHAHDAYLNAVVGTALIKKYPKLESEFVYGDYKV


YDVRKMIAKSEQEIGKATAKYFFYSNIMNFFKTEITLANGEIRKRPLIETNGETGEIVWDKGRDFATVRK


VLSMPQVNIVKKTEVQTGGFSKESILPKRNSDKLIARKKDWDPKKYGGFDSPTVAYSVLVVAKVEKGKSK


KLKSVKELLGITIMERSSFEKNPIDFLEAKGYKEVKKDLIIKLPKYSLFELENGRKRMLASAGELQKGNE


LALPSKYVNFLYLASHYEKLKGSPEDNEQKQLFVEQHKHYLDEIIEQISEFSKRVILADANLDKVLSAYN


KHRDKPIREQAENIIHLFTLTNLGAPAAFKYEDTTIDRKRYTSTKEVLDATLIHQSITGLYETRIDLSQL


GGDSRADPKKKRKVASDAKSLTAWSRTLVTFKDVFVDFTREEWKLLDTAQQILYRNVMLENYKNLVSLGY


QLTKPDVILRLEKGEEPWLVEREIHQETHPDSETAFEIKSSVPKKKRKV





SEQ ID NO: 41


Polynucleotide sequence of Staphylococcus aureus dCas9-KRAB protein


atggccccaaagaagaagcggaaggtcggtatccacggagtcccagcagccaagcggaactacatcctgg


gcctggccatcggcatcaccagcgtgggctacggcatcatcgactacgagacacgggacgtgatcgatgc


cggcgtgcggctgttcaaagaggccaacgtggaaaacaacgagggcaggcggagcaagagaggcgccaga


aggctgaagcggcggaggcggcatagaatccagagagtgaagaagctgctgttcgactacaacctgctga


ccgaccacagcgagctgagcggcatcaacccctacgaggccagagtgaagggcctgagccagaagctgag


cgaggaagagttctctgccgccctgctgcacctggccaagagaagaggcgtgcacaacgtgaacgaggtg


gaagaggacaccggcaacgagctgtccaccaaagagcagatcagccggaacagcaaggccctggaagaga


aatacgtggccgaactgcagctggaacggctgaagaaagacggcgaagtgcggggcagcatcaacagatt


caagaccagcgactacgtgaaagaagccaaacagctgctgaaggtgcagaaggcctaccaccagctggac


cagagcttcatcgacacctacatcgacctgctggaaacccggcggacctactatgagggacctggcgagg


gcagccccttcggctggaaggacatcaaagaatggtacgagatgctgatgggccactgcacctacttccc


cgaggaactgcggagcgtgaagtacgcctacaacgccgacctgtacaacgccctgaacgacctgaacaat


ctcgtgatcaccagggacgagaacgagaagctggaatattacgagaagttccagatcatcgagaacgtgt


tcaagcagaagaagaagcccaccctgaagcagatcgccaaagaaatcctcgtgaacgaagaggatattaa


gggctacagagtgaccagcaccggcaagcccgagttcaccaacctgaaggtgtaccacgacatcaaggac


attaccgcccggaaagagattattgagaacgccgagctgctggatcagattgccaagatcctgaccatct


accagagcagcgaggacatccaggaagaactgaccaatctgaactccgagctgacccaggaagagatcga


gcagatctctaatctgaagggctataccggcacccacaacctgagcctgaaggccatcaacctgatcctg


gacgagctgtggcacaccaacgacaaccagatcgctatcttcaaccggctgaagctggtgcccaagaagg


tggacctgtcccagcagaaagagatccccaccaccctggtggacgacttcatcctgagccccgtcgtgaa


gagaagcttcatccagagcatcaaagtgatcaacgccatcatcaagaagtacggcctgcccaacgacatc


attatcgagctggcccgcgagaagaactccaaggacgcccagaaaatgatcaacgagatgcagaagcgga


accggcagaccaacgagcggatcgaggaaatcatccggaccaccggcaaagagaacgccaagtacctgat


cgagaagatcaagctgcacgacatgcaggaaggcaagtgcctgtacagcctggaagccatccctctggaa


gatctgctgaacaaccccttcaactatgaggtggaccacatcatccccagaagcgtgtccttcgacaaca


gcttcaacaacaaggtgctcgtgaagcaggaagaagccagcaagaagggcaaccggaccccattccagta


cctgagcagcagcgacagcaagatcagctacgaaaccttcaagaagcacatcctgaatctggccaagggc


aagggcagaatcagcaagaccaagaaagagtatctgctggaagaacgggacatcaacaggttctccgtgc


agaaagacttcatcaaccggaacctggtggataccagatacgccaccagaggcctgatgaacctgctgcg


gagctacttcagagtgaacaacctggacgtgaaagtgaagtccatcaatggcggcttcaccagctttctg


cggcggaagtggaagtttaagaaagagcggaacaaggggtacaagcaccacgccgaggacgccctgatca


ttgccaacgccgatttcatcttcaaagagtggaagaaactggacaaggccaaaaaagtgatggaaaacca


gatgttcgaggaaaagcaggccgagagcatgcccgagatcgaaaccgagcaggagtacaaagagatcttc


atcaccccccaccagatcaagcacattaaggacttcaaggactacaagtacagccaccgggtggacaaga


agcctaatagagagctgattaacgacaccctgtactccacccggaaggacgacaagggcaacaccctgat


cgtgaacaatctgaacggcctgtacgacaaggacaatgacaagctgaaaaagctgatcaacaagagcccc


gaaaagctgctgatgtaccaccacgacccccagacctaccagaaactgaagctgattatggaacagtacg


gcgacgagaagaatcccctgtacaagtactacgaggaaaccgggaactacctgaccaagtactccaaaaa


ggacaacggccccgtgatcaagaagattaagtattacggcaacaaactgaacgcccatctggacatcacc


gacgactaccccaacagcagaaacaaggtcgtgaagctgtccctgaagccctacagattcgacgtgtacc


tggacaatggcgtgtacaagttcgtgaccgtgaagaatctggatgtgatcaaaaaagaaaactactacga


agtgaatagcaagtgctatgaggaagctaagaagctgaagaagatcagcaaccaggccgagtttatcgcc


tccttctacaacaacgatctgatcaagatcaacggcgagctgtatagagtgatcggcgtgaacaacgacc


tgctgaaccggatcgaagtgaacatgatcgacatcacctaccgcgagtacctggaaaacatgaacgacaa


gaggccccccaggatcattaagacaatcgcctccaagacccagagcattaagaagtacagcacagacatt


ctgggcaacctgtatgaagtgaaatctaagaagcaccctcagatcatcaaaaagggcaaaaggccggcgg


ccacgaaaaaggccggccaggcaaaaaagaaaaagggatccgatgctaagtcactgactgcctggtcccg


gacactggtgaccttcaaggatgtgtttgtggacttcaccagggaggagtggaagctgctggacactgct


cagcagatcctgtacagaaatgtgatgctggagaactataagaacctggtttccttgggttatcagctta


ctaagccagatgtgatcctccggttggagaagggagaagagccctggctggtggagagagaaattcacca


agagacccatcctgattcagagactgcatttgaaatcaaatcatcagttccgaaaaagaaacgcaaagtt





SEQ ID NO: 42


Polypeptide sequence of Staphylococcus aureus dCas9-KRAB protein


MAPKKKRKVGIHGVPAAKRNYILGLAIGITSVGYGIIDYETRDVIDAGVRLFKEANVENNEGRRSKRGAR


RLKRRRRHRIQRVKKLLFDYNLLTDHSELSGINPYEARVKGLSQKLSEEEFSAALLHLAKRRGVHNVNEV


EEDTGNELSTKEQISRNSKALEEKYVAELQLERLKKDGEVRGSINRFKTSDYVKEAKQLLKVQKAYHQLD


QSFIDTYIDLLETRRTYYEGPGEGSPFGWKDIKEWYEMLMGHCTYFPEELRSVKYAYNADLYNALNDLNN


LVITRDENEKLEYYEKFQIIENVFKQKKKPTLKQIAKEILVNEEDIKGYRVTSTGKPEFTNLKVYHDIKD


ITARKEIIENAELLDQIAKILTIYQSSEDIQEELTNLNSELTQEEIEQISNLKGYTGTHNLSLKAINLIL


DELWHTNDNQIAIFNRLKLVPKKVDLSQQKEIPTTLVDDFILSPVVKRSFIQSIKVINAIIKKYGLPNDI


IIELAREKNSKDAQKMINEMQKRNRQTNERIEEIIRTTGKENAKYLIEKIKLHDMQEGKCLYSLEAIPLE


DLLNNPFNYEVDHIIPRSVSFDNSFNNKVLVKQEEASKKGNRTPFQYLSSSDSKISYETFKKHILNLAKG


KGRISKTKKEYLLEERDINRFSVQKDFINRNLVDTRYATRGLMNLLRSYFRVNNLDVKVKSINGGFTSEL


RRKWKFKKERNKGYKHHAEDALIIANADFIFKEWKKLDKAKKVMENQMFEEKQAESMPEIETEQEYKEIF


ITPHQIKHIKDFKDYKYSHRVDKKPNRELINDTLYSTRKDDKGNTLIVNNLNGLYDKDNDKLKKLINKSP


EKLLMYHHDPQTYQKLKLIMEQYGDEKNPLYKYYEETGNYLTKYSKKDNGPVIKKIKYYGNKLNAHLDIT


DDYPNSRNKVVKLSLKPYRFDVYLDNGVYKFVTVKNLDVIKKENYYEVNSKCYEEAKKLKKISNQAEFIA


SFYNNDLIKINGELYRVIGVNNDLLNRIEVNMIDITYREYLENMNDKRPPRIIKTIASKTQSIKKYSTDI


LGNLYEVKSKKHPQIIKKGKRPAATKKAGQAKKKKGSDAKSLTAWSRTLVTFKDVFVDFTREEWKLLDTA


QQILYRNVMLENYKNLVSLGYQLTKPDVILRLEKGEEPWLVEREIHQETHPDSETAFEIKSSVPKKKRKV





SEQ ID NO: 43


Polynucleotide sequence of Tet1CD


CTGCCCACCTGCAGCTGTCTTGATCGAGTTATACAAAAAGACAAAGGCCCATATTATACACACCTTGGGG


CAGGACCAAGTGTTGCTGCTGTCAGGGAAATCATGGAGAATAGGTATGGTCAAAAAGGAAACGCAATAAG


GATAGAAATAGTAGTGTACACCGGTAAAGAAGGGAAAAGCTCTCATGGGTGTCCAATTGCTAAGTGGGTT


TTAAGAAGAAGCAGTGATGAAGAAAAAGTTCTTTGTTTGGTCCGGCAGCGTACAGGCCACCACTGTCCAA


CTGCTGTGATGGTGGTGCTCATCATGGTGTGGGATGGCATCCCTCTTCCAATGGCCGACCGGCTATACAC


AGAGCTCACAGAGAATCTAAAGTCATACAATGGGCACCCTACCGACAGAAGATGCACCCTCAATGAAAAT


CGTACCTGTACATGTCAAGGAATTGATCCAGAGACTTGTGGAGCTTCATTCTCTTTTGGCTGTTCATGGA


GTATGTACTTTAATGGCTGTAAGTTTGGTAGAAGCCCAAGCCCCAGAAGATTTAGAATTGATCCAAGCTC


TCCCTTACATGAAAAAAACCTTGAAGATAACTTACAGAGTTTGGCTACACGATTAGCTCCAATTTATAAG


CAGTATGCTCCAGTAGCTTACCAAAATCAGGTGGAATATGAAAATGTTGCCCGAGAATGTCGGCTTGGCA


GCAAGGAAGGTCGACCCTTCTCTGGGGTCACTGCTTGCCTGGACTTCTGTGCTCATCCCCACAGGGACAT


TCACAACATGAATAATGGAAGCACTGTGGTTTGTACCTTAACTCGAGAAGATAACCGCTCTTTGGGTGTT


ATTCCTCAAGATGAGCAGCTCCATGTGCTACCTCTTTATAAGCTTTCAGACACAGATGAGTTTGGCTCCA


AGGAAGGAATGGAAGCCAAGATCAAATCTGGGGCCATCGAGGTCCTGGCACCCCGCCGCAAAAAAAGAAC


GTGTTTCACTCAGCCTGTTCCCCGTTCTGGAAAGAAGAGGGCTGCGATGATGACAGAGGTTCTTGCACAT


AAGATAAGGGCAGTGGAAAAGAAACCTATTCCCCGAATCAAGCGGAAGAATAACTCAACAACAACAAACA


ACAGTAAGCCTTCGTCACTGCCAACCTTAGGGAGTAACACTGAGACCGTGCAACCTGAAGTAAAAAGTGA


AACCGAACCCCATTTTATCTTAAAAAGTTCAGACAACACTAAAACTTATTCGCTGATGCCATCCGCTCCT


CACCCAGTGAAAGAGGCATCTCCAGGCTTCTCCTGGTCCCCGAAGACTGCTTCAGCCACACCAGCTCCAC


TGAAGAATGACGCAACAGCCTCATGCGGGTTTTCAGAAAGAAGCAGCACTCCCCACTGTACGATGCCTTC


GGGAAGACTCAGTGGTGCCAATGCTGCAGCTGCTGATGGCCCTGGCATTTCACAGCTTGGCGAAGTGGCT


CCTCTCCCCACCCTGTCTGCTCCTGTGATGGAGCCCCTCATTAATTCTGAGCCTTCCACTGGTGTGACTG


AGCCGCTAACGCCTCATCAGCCAAACCACCAGCCCTCCTTCCTCACCTCTCCTCAAGACCTTGCCTCTTC


TCCAATGGAAGAAGATGAGCAGCATTCTGAAGCAGATGAGCCTCCATCAGACGAACCCCTATCTGATGAC


CCCCTGTCACCTGCTGAGGAGAAATTGCCCCACATTGATGAGTATTGGTCAGACAGTGAGCACATCTTTT


TGGATGCAAATATTGGTGGGGTGGCCATCGCACCTGCTCACGGCTCGGTTTTGATTGAGTGTGCCCGGCG


AGAGCTGCACGCTACCACTCCTGTTGAGCACCCCAACCGTAATCATCCAACCCGCCTCTCCCTTGTCTTT


TACCAGCACAAAAACCTAAATAAGCCCCAACATGGTTTTGAACTAAACAAGATTAAGTTTGAGGCTAAAG


AAGCTAAGAATAAGAAAATGAAGGCCTCAGAGCAAAAAGACCAGGCAGCTAATGAAGGTCCAGAACAGTC


CTCTGAAGTAAATGAATTGAACCAAATTCCTTCTCATAAAGCATTAACATTAACCCATGACAATGTTGTC


ACCGTGTCCCCTTATGCTCTCACACACGTTGCGGGGCCCTATAACCATTGGGTC





SEQ ID NO: 44


Polypeptide sequence of Tet1CD


LPTCSCLDRVIQKDKGPYYTHLGAGPSVAAVREIMENRYGQKGNAIRIEIVVYTGKEGKSSHGCPIAKWV


LRRSSDEEKVLCLVRQRTGHHCPTAVMVVLIMVWDGIPLPMADRLYTELTENLKSYNGHPTDRRCTLNEN


RTCTCQGIDPETCGASESFGCSWSMYFNGCKFGRSPSPRRFRIDPSSPLHEKNLEDNLQSLATRLAPIYK


QYAPVAYQNQVEYENVARECRLGSKEGRPFSGVTACLDFCAHPHRDIHNMNNGSTVVCTLTREDNRSLGV


IPQDEQLHVLPLYKLSDTDEFGSKEGMEAKIKSGAIEVLAPRRKKRTCFTQPVPRSGKKRAAMMTEVLAH


KIRAVEKKPIPRIKRKNNSTTTNNSKPSSLPTLGSNTETVQPEVKSETEPHFILKSSDNTKTYSLMPSAP


HPVKEASPGFSWSPKTASATPAPLKNDATASCGFSERSSTPHCTMPSGRLSGANAAAADGPGISQLGEVA


PLPTLSAPVMEPLINSEPSTGVTEPLTPHQPNHQPSELTSPQDLASSPMEEDEQHSEADEPPSDEPLSDD


PLSPAEEKLPHIDEYWSDSEHIELDANIGGVAIAPAHGSVLIECARRELHATTPVEHPNRNHPTRLSLVE


YQHKNLNKPQHGFELNKIKFEAKEAKNKKMKASEQKDQAANEGPEQSSEVNELNQIPSHKALTLTHDNVV


TVSPYALTHVAGPYNHWV





SEQ ID NO: 45


Protein sequence for VPH


DALDDEDLDMLGSDALDDFDLDMLGSDALDDEDLDMLGSDALDDEDLDMLGSLPSASVEFEGSGGPSGQI


SNQALALAPSSAPVLAQTMVPSSAMVPLAQPPAPAPVLTPGPPQSLSAPVPKSTQAGEGTLSEALLHLQF


DADEDLGALLGNSTDPGVFTDLASVDNSEFQQLLNQGVSMSHSTAEPMLMEYPEAITRLVTGSQRPPDPA


PTPLGTSGLPNGLSGDEDFSSIADMDFSALLSQISSSGQGGGGSGFSVDTSALLDLESPSVTVPDMSLPD


LDSSLASIQELLSPQEPPRPPEAENSSPDSGKQLVHYTAQPLFLLDPGSVDTGSNDLPVLFELGEGSYES


EGDGFAEDPTISLLTGSEPPKAKDPTVS





SEQ ID NO: 46


DNA sequence for VPH


Gatgctttagacgattttgacttagatatgcttggttcagacgcgttagacgacttcgacctagacatgt


taggctcagatgcattggacgacttcgatttagatatgttgggctccgatgccctagatgactttgatct


agatatgctagggtcactacccagcgccagcgtcgagttcgaaggcagcggcgggccttcagggcagatc


agcaaccaggccctggctctggcccctagctccgctccagtgctggcccagactatggtgccctctagtg


ctatggtgcctctggcccagccacctgctccagcccctgtgctgaccccaggaccaccccagtcactgag


cgccccagtgcccaagtctacacaggccggcgaggggactctgagtgaagctctgctgcacctgcagttc


gacgctgatgaggacctgggagctctgctggggaacagcaccgatcccggagtgttcacagatctggcct


ccgtggacaactctgagtttcagcagctgctgaatcagggcgtgtccatgtctcatagtacagccgaacc


aatgctgatggagtaccccgaagccattacccggctggtgaccggcagccagcggccccccgaccccgct


ccaactcccctgggaaccagcggcctgcctaatgggctgtccggagatgaagacttctcaagcatcgctg


atatggactttagtgccctgctgtcacagatttcctctagtgggcagggaggaggtggaagcggcttcag


cgtggacaccagtgccctgctggacctgttcagcccctcggtgaccgtgcccgacatgagcctgcctgac


cttgacagcagcctggccagtatccaagagctcctgtctccccaggagccccccaggcctcccgaggcag


agaacagcagcccggattcagggaagcagctggtgcactacacagcgcagccgctgttcctgctggaccc


cggctccgtggacaccgggagcaacgacctgccggtgctgtttgagctgggagagggctcctacttctcc


gaaggggacggcttcgccgaggaccccaccatctccctgctgacaggctcggagcctcccaaagccaagg


accccactgtctcc





SEQ ID NO: 47


Protein sequence for VPR


DALDDEDLDMLGSDALDDEDLDMLGSDALDDEDLDMLGSDALDDEDLDMLGSPKKKRKVGSQYLPDTDDR


HRIEEKRKRTYETFKSIMKKSPFSGPTDPRPPPRRIAVPSRSSASVPKPAPQPYPFTSSLSTINYDEFPT


MVFPSGQISQASALAPAPPQVLPQAPAPAPAPAMVSALAQAPAPVPVLAPGPPQAVAPPAPKPTQAGEGT


LSEALLQLQFDDEDLGALLGNSTDPAVFTDLASVDNSEFQQLLNQGIPVAPHTTEPMLMEYPEAITRLVT


GAQRPPDPAPAPLGAPGLPNGLLSGDEDESSIADMDFSALLSQISSGSGSGSRDSREGMFLPKPEAGSAI


SDVFEGREVCQPKRIRPFHPPGSPWANRPLPASLAPTPTGPVHEPVGSLTPAPVPQPLDPAPAVTPEASH


LLEDPDEETSQAVKALREMADTVIPQKEEAAICGQMDLSHPPPRGHLDELTTTLESMTEDLNLDSPLTPE


LNEILDTFLNDECLLHAMHISTGLSIFDTSLF





SEQ ID NO: 48


DNA sequence for VPR


gatgctttagacgattttgacttagatatgcttggttcagacgcgttagacgacttcgacctagacatgt


taggctcagatgcattggacgacttcgatttagatatgttgggctccgatgccctagatgactttgatct


agatatgctaggtagtcccaaaaagaagaggaaagtgggatcccagtatctgcccgacacagatgataga


caccgaatcgaagagaaacgcaagcgaacgtatgaaaccttcaaatcgatcatgaagaaatcgcccttct


cgggtccgaccgatcccaggcccccaccgagaaggattgcggtcccgtcccgctcgtcggccagcgtgcc


gaagcctgcgccgcagccctaccccttcacgtcgagcctgagcacaatcaattatgacgagttcccgacg


atggtgttcccctcgggacaaatctcacaagcctcggcgctcgcaccagcgcctccccaagtccttccgc


aagcgcctgccccagcgcctgcaccggcaatggtgtccgccctcgcacaggcccctgcgcccgtccccgt


gctcgcgcctggaccgccccaggcggtcgctccaccggctccgaagccgacgcaggccggagagggaaca


ctctccgaagcacttcttcaactccagtttgatgacgaggatcttggagcactccttggaaactcgacag


accctgcggtgtttaccgacctcgcgtcagtagataactccgaatttcagcagcttttgaaccagggtat


cccggtcgcgccacatacaacggagcccatgttgatggaataccccgaagcaatcacgagacttgtgacg


ggagcgcagcggcctcccgatcccgcacccgcacctttgggggcacctggcctccctaacggacttttga


gcggcgacgaggatttctcctccatcgccgatatggatttctcagccttgctgtcacagatttccagcgg


ctctggcagcggcagccgggattccagggaagggatgtttttgccgaagcctgaggccggctccgctatt


agtgacgtgtttgagggccgcgaggtgtgccagccaaaacgaatccggccatttcatcctccaggaagtc


catgggccaaccgcccactccccgccagcctcgcaccaacaccaaccggtccagtacatgagccagtcgg


gtcactgaccccggcaccagtccctcagccactggatccagcgcccgcagtgactcccgaggccagtcac


ctgttggaggatcccgatgaagagacgagccaggctgtcaaagcccttcgggagatggccgatactgtga


ttccccagaaggaagaggctgcaatctgtggccaaatggacctttcccatccgcccccaaggggccatct


ggatgagctgacaaccacacttgagtccatgaccgaggatctgaacctggactcacccctgaccccggaa


ttgaacgagattctggataccttcctgaacgacgagtgcctcttgcatgccatgcatatcagcacaggac


tgtccatcttcgacacatctctgttt





SEQ ID NO: 49


SV40 NLS (Pro-Lys-Lys-Lys-Arg-Lys-Val)





SEQ ID NO: 50


GS linker (Gly-Gly-Gly-Gly-Ser)n, wherein n is an integer between 0 and 10





SEQ ID NO: 51


Gly-Gly-Gly-Gly-Gly





SEQ ID NO: 52


Gly-Gly-Ala-Gly-Gly





SEQ ID NO: 53


Gly-Gly-Gly-Gly-Ser-Ser-Ser





SEQ ID NO: 54


Gly-Gly-Gly-Gly-Ala-Ala-Ala





SEQ ID NO: 55


Polypeptide sequence of KRAB protein


RTLVTFKDVFVDFTREEWKLLDTAQQILYRNVMLENYKNLVSLGYQLTKPDVILRLEKGEEPWL


V





SEQ ID NO: 56


Polynucleotide sequence for KRAB


cggacactggtgaccttcaaggatgtgtttgtggacttcaccagggaggagtggaagctgctgg


acactgctcagcagatcctgtacagaaatgtgatgctggagaactataagaacctggtttcctt


gggttatcagcttactaagccagatgtgatcctccggttggagaagggagaagagccctggctg


gtg









Sequences

Claims
  • 1. A composition for treating leukemia, the composition comprising: a Cas9 protein or a fusion protein, wherein the fusion protein comprises two heterologous polypeptide domains, wherein the first polypeptide domain comprises a Cas9 protein and the second polypeptide domain has an activity selected from the group consisting of transcription activation activity, transcription repression activity, transcription release factor activity, histone modification activity, nuclease activity, nucleic acid association activity, methylase activity, and demethylase activity; andat least one guide RNA (gRNA) that targets the Cas9 protein to a regulatory element of a target gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, IGBP1, FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GM PR.
  • 2. The composition of claim 1, wherein the gRNA targets the Cas9 protein to a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 339-479.
  • 3. The composition of claim 1, wherein the gRNA is encoded by a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 57-197 or comprises a polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 198-338.
  • 4. The composition of claim 1, wherein the composition inhibits cell viability, and wherein the target gene is selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1.
  • 5-7. (canceled)
  • 8. The composition of claim 1, wherein the composition increases cell viability, and wherein the target gene is selected from FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR.
  • 9-12. (canceled)
  • 13. The composition of claim 1, wherein the Cas9 protein comprises an amino acid sequence having at least 90% or greater identity to a sequence selected from SEQ ID NOs: 20-23, or any fragment thereof, or wherein the Cas9 protein is encoded by a polynucleotide comprising a sequence having at least 90% or greater identity to a sequence selected from SEQ ID NOs: 24-26, or any fragment thereof,or wherein the Cas9 protein comprises an amino acid sequence having one, two, three, four, five or more changes selected from amino acid substitutions, insertions, or deletions, relative to a sequence selected from SEQ ID NOs: 20-23, or any fragment thereof,or wherein the Cas9 protein is encoded by a polynucleotide comprising a sequence having one, two, three, four, five or more changes selected from nucleotide substitutions, insertions, or deletions, relative to a sequence selected from SEQ ID NOs: 24-26, or any fragment thereof,or wherein the Cas9 protein comprises the amino acid sequence of SEQ ID NO: 20 or 21 or 22 or 23, or any fragment thereof, or is encoded by a polynucleotide comprising a sequence selected from SEQ ID NOs: 24 or 25 or 26.
  • 14-15. (canceled)
  • 16. The composition of claim 1, wherein the second polypeptide domain comprises a polypeptide selected from VP16, VP64, p65, TET1, VPR, VPH, Rta, p300, p300 core, KRAB, MECP2, EED, ERD, Mad mSIN3 interaction domain (SID), or Mad-SID repressor domain, SID4X repressor, Mxil repressor, SUV39H1, SUV39H2, G9A, ESET/SETBD1, Cir4, Su(var)3-9, Pr-SET7/8, SUV4-20H1, PR-set7, Suv4-20, Set9, EZH2, RIZ1, JMJD2A/JHDM3A, JMJD2B, JMJ2D2C/GASC1, JMJD2D, Rph1, JARID1A/RBP2, JARID1B/PLU-1, JARID1C/SMCX, JARID1D/SMCY, Lid, Jhn2, Jmj2, HDAC1, HDAC2, HDAC3, HDAC8, Rpd3, Hos1, Cir6, HDAC4, HDAC5, HDAC7, HDAC9, Hda1, Cir3, SIRT1, SIRT2, Sir2, Hst1, Hst2, Hst3, Hst4, HDAC11, DNMT1, DNMT3a/3b, DNMT3A-3L, MET1, DRM3, ZMET2, CMT1, CMT2, Laminin A, Laminin B, CTCF, a domain having TATA box binding protein activity, ERF1, and ERF3.
  • 17. The composition of claim 1, wherein the second polypeptide domain has transcription repression activity.
  • 18. The composition of claim 17, wherein the second polypeptide domain comprises KRAB.
  • 19-24. (canceled)
  • 25. An isolated polynucleotide sequence comprising a sequence selected from SEQ ID NOs: 57-338.
  • 26. An isolated polynucleotide sequence encoding the composition of claim 1.
  • 27. (canceled)
  • 28. A vector encoding the composition of claim 1.
  • 29. A cell comprising the composition of claim 1.
  • 30. A pharmaceutical composition comprising the composition of claim 1.
  • 31. A method of treating leukemia in a subject, the method comprising targeting a regulatory element of, or modifying the expression of, a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 in the subject.
  • 32-33. (canceled)
  • 34. A method of modifying growth of a cell, the method comprising targeting a regulatory element of, or modifying the expression of, a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, IGBP1, FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR in the cell.
  • 35. (canceled)
  • 36. A method of decreasing cell fitness, the method comprising targeting a regulatory element of, or modifying the expression of, a gene selected from SCD, LDB1, NOLC1, CASP7, EIF3A, FAM45A, BNIP3, MASTL, AKR1E2, CRTAM, LMO2, LMO2, GAB2, GAB2, PGAM5, YARS2, KLHDC1, PDCD7, ZNF609, NR2F2, NR2F2-AS1, PLK1, ZG16B, CBFA2T3, MVD, SPATA33, SREBF1, CTD-2008P7.1, CCR10, HAP1, PTRF, STAT3, STAT5A, STAT5B, CAMKK1, RSAD1, XYLT2, ERN1, CARD14, KLF1, TNPO2, RASAL3, AC005256.1, GIPC3, MKNK2, PDCD5, CTC-273B12.10, CTD-3073N11.9, AC008440.5, SARS, SARS, RP5-1065J22.8, SARS, DFFA, KIAA2013, RP11-196G18.24, THEM4, SLAMF1, snoU13, PPP1R15B, RP5-1092A3.4, MEGF6, WRAP73, CDC20, TIE1, DNAJC11, BCL2L1, TPX2, OSBPL2, SS18L1, AP000265.1, IL10RB, MIS18A, MRPS6, AP001476.4, USP18, AC004463.6, ERCC3, SRBD1, BCYRN1, EPCAM, FOXN2, PNPT1, HK2, INO80B, GHRLOS, ATP6V1A, RP11-53616.2, DROSHA, PELO, PELO, RIOK2, PHACTR1, AHI1, MYB, MYB, ULBP1, FBXO5, HIST1H1D, HIST1H1T, HIST1H2AC, NFKBIL1, PPP1R10, XXbac-BPG252P9.10, ATP6V1G2, TUBB, DHX16, MICA, MICB, PPP1R10, RP11-140K17.3, FRS3, CDHR3, RP4-593H12.1, RP5-884M6.1, PSMG3, DDX56, MSRA, CDC26, RNF183, ENG, RP11-545E17.3, C9orf171, INPP5E, PTGDS, RAB33A, DUSP9, GATA1, GLOD5, HDAC6, PLP2, SUV39H1, WAS, PIM2, and IGBP1 in the cell.
  • 37. (canceled)
  • 38. The method of claim 36, wherein decreasing cell fitness comprises decreasing cell growth rate, decreasing cell growth duration, decreasing cell size, increasing cell death, or a combination thereof.
  • 39. A method of increasing cell fitness, the method comprising targeting a regulatory element of, or modifying the expression of, a gene selected from FADS3, RPAP1, SLC25A39, RP13-20L14.6, FOXA2, and GMPR in the cell.
  • 40. (canceled)
  • 41. The method of claim 39, wherein increasing cell fitness comprises increasing cell growth rate, increasing cell growth duration, increasing cell size, or a combination thereof.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to U.S. Provisional Patent Application No. 63/317,847 filed Mar. 8, 2022, and U.S. Provisional Patent Application No. 63/372,373 filed Mar. 8, 2022, the entire contents of each of which are hereby incorporated by reference.

STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH

This invention was made with government support under grants UM1HG009428, RO1HG010741, RM1HG011123, DP20D008586, and R01DA036865 awarded by the National Institutes of Health. The government has certain rights in the invention.

Provisional Applications (2)
Number Date Country
63317847 Mar 2022 US
63372373 Mar 2022 US