METHODS FOR NOMINATION OF NUCLEASE ON-/OFF-TARGET EDITING LOCATIONS, DESIGNATED "CTL-seq" (CRISPR Tag Linear-seq)

Abstract

Described herein are methods for identifying and nominating on- and off-target CRISPR editing sites with improved accuracy and sensitivity.

Description

REFERENCE TO SEQUENCE LISTING

This application is filed with a Computer Readable Form of a Sequence Listing in accordance with 37 C.F.R. § 1.821(c). The text file submitted by EFS, “013670-9056-US02_sequence_listing_19-JUL-2021_ST25.txt” contains 273 sequences, was created on Jul. 19, 2021, has a file size of 153 Kbytes, and is hereby incorporated by reference in its entirety.

TECHNICAL FIELD

Described herein are methods for identifying and nominating on- and off-target CRISPR editing sites with improved accuracy and sensitivity.

BACKGROUND

CRISPR (clustered regularly interspaced short palindromic repeats) has revolutionized genomics by permitting the simple introduction of changes to the genetic code. CRISPR systems, such as Cas9 and Cas12a proteins, are guided to their target by RNA oligonucleotide sequences bound by the Cas proteins (forming ribonucleoprotein protein; RNP), where the enzyme creates double stranded breaks (DSBs) in DNA sequences. Native cellular machinery repairs DSBs, generally using non-homologous end joining (NHEJ) or homology directed repair (HDR) molecular pathways. DNA repaired through NHEJ, which occurs at on- and off-target locations, often contains indels (insertions/deletions), which can lead to mutations and change the function of encoded genes. Thus, identifying these locations is critical to deconvoluting the impact of on- and off-target editing on biological phenotypes.

To date, no “gold standard” method exists to identify or nominate off-target editing locations for CRISPR or other nucleases. Many methods have been developed. These methods use a variety of strategies, including the detection of endogenous repair machinery assembled at DSBs (Discover-Seq [1]), the integration of a DNA tag sequence into the host cell genome (GUIDE-Seq; see U.S. Pat. No. 9,822,407), iGUIDE [2, 3]), or by cutting DNA in vitro (BLISS [4], CIRCLE-Seq [5], SiteSeq [6]).

Cellular or cell based (sometimes referred to as in vivo) and biochemical (sometimes referred to as in vitro) off-target assay nomination systems each have their advantages. Proteins bound to the DNA and epigenetic marks modify the function of nuclease activity, suggesting that cellular or cell based methods may better identify actual editing targets [7]. However, biochemical methods have nominated sites not identified through cellular or cell based methods, suggesting biochemical methods may be more comprehensive [5, 6]. Nevertheless, these current tools tend to have imperfect sensitivity [5, 6] (see FIG. 1).

What is needed is a method for detecting and nominating on- and off-target CRISPR editing sites with improved accuracy and sensitivity.

SUMMARY

One embodiment described herein is a method for identifying and nominating on- and off-target CRISPR edited sites with improved accuracy and sensitivity, the process comprising the steps of: (a) co-delivering a guide sequence RNA (sgRNA) or a two-part CRISPR RNA:trans-activating crRNA (crRNA:tracrRNA) duplex, one or more tag sequences, and an RNA-guided endonuclease to cells; (b) incubating the cells for a period of time sufficient for double strand breaks to occur; (c) isolating genomic DNA from the cells, fragmenting the genomic DNA, and ligating the fragmented genomic DNA to a unique molecular index containing a universal adapter sequence; (d) amplifying the ligated DNA fragments using primers targeting the tag and universal adapter sequences to produce a first set of amplified sequences; (e) amplifying the first set of amplified sequences using universal sequencing primers targeting the tails of Tag-pTOP or Tag-pBOT primers to produce a second set of amplified sequences; (f) sequencing the pooled sequences and obtaining sequencing data; and (g) identifying on-/off-target CRISPR editing loci. In one aspect, the universal sequencing primers target SP1 or SP2 sequence (SEQ ID NO: 7, 8) tails on the Tag-pTOP or Tag-pBOT primers to produce a second set of amplified sequences. In another aspect, the universal sequencing primers target predesigned non-homologous sequence (SEQ ID NO: 269-273) tails on the Tag-pTOP or Tag-pBot primers to produce a second set of amplified sequences. In another aspect, the universal sequencing primers target predesigned 13-mer tails on the Tag-pTOP or Tag-pBot primers to produce a second set of amplified sequences. In another aspect, step (g) comprises executing on a processor: (i) aligning the sequence data to a reference genome; (ii) identifying on-/off-target CRISPR editing loci; and (iii) outputting the alignment, analysis, and results data as custom-formatted files, tables or graphics. In another aspect, the method further comprises a step following step (e) comprising: (e1) normalizing the second set of amplified sequences to produce concentration normalized libraries, pooling the normalized libraries with other samples to produce pooled libraries; and continuing with steps (f)-(i). In another aspect, step (d) uses a suppression PCR method. In another aspect, the RNA-guided endonuclease comprises an endogenously-expressed Cas enzyme, a Cas expression vector, a Cas protein, or a Cas RNP complex. In another aspect, the RNA-guided endonuclease comprises an endogenously-expressed Cas9 enzyme, a Cas9 expression vector, a Cas9 protein, or a Cas9 RNP complex. In another aspect, the cells comprise human or mouse cells. In another aspect, the period of time is about 24 hours to about 96 hours. In another aspect, multiple tag sequences are co-delivered. In another aspect, the tag sequences comprise double-stranded deoxyribooligonucleotides (dsDNA) comprising 52-base pairs. In another aspect, the tag sequences comprise a 5′-terminal phosphate, and phosphorothioate linkages between the 1^st and 2^nd, 2^nd and 3^rd, 50^th and 51^st, and 51^st and 52^nd nucleotides. In another aspect, the tag sequences comprise a double stranded DNA comprising the complementary top and bottom strand pairs of SEQ ID NO: 1-2 or 7-268.

Other embodiments described herein are on- and off-target CRISPR editing sites identified or nominated using the methods described herein.

Another embodiment described herein is a method for designing 52-base pair tag sequences, the method comprising, executing on a processor: (a) randomly generating 13-nucleotide sequences with 40-90% GC content, max homopolymer length A:2, C:3, G:2, T:2, weighted homopolymer rate <20, self-folding T_m<50° C., and self-dimer T_m<50° C.; (b) removing sequences that perfectly align to a particular genome or that are homopolymers or GG or CC dinucleotide motifs and obtaining a set of 13-mers; (c) selecting a subset of the 13-mer sequences that contain one or less CC or GG dinucleotide motifs; (d) concatenating four of the of 13-mer subset sequences to form random 52-mer sequences; (e) aligning the random 52-mer sequences to a genome; (f) removing the random 52-mer sequences that have similarity to the genome to produce a subset of 52-mer sequences; and (h) outputting the subset of 52-mer sequences and generating the complementary strands to produce double stranded 52-base pair tag sequences. In one aspect, the genome is human or mouse. In another aspect, the 52-base pair tag sequences are-non complementary to the genome. In another aspect, the method further comprises designing primers for the 52-base pair tag sequences. In another aspect, the 52-base pair tag sequences comprise a 5′-terminal phosphate, and phosphorothioate linkages between the 1^st and 2^nd, 2^nd and 3^rd, 50^th and 51^st, and 51^st and 52^nd nucleotides of the 52-base pair tag sequences. In another aspect, the method further comprises synthesizing oligonucleotides comprising the 52-base pair tag sequences, the complement of the 52-base pair tag sequences, or primers for the 52-base pair tag sequences.

Other embodiments described herein are one or more 52-base pair tag sequences designed using the methods described herein. In one aspect, the 52-base pair tag sequence comprises a double stranded DNA comprising the top and bottom strand pairs of SEQ ID NO: 1-2 or 7-268.

Another embodiment described herein is a method for designing primers partially complementary to the 52-base pair tag sequences of claim 23 and an adapter primer, the method comprising, executing on a processor: (a) designing tag primers that are partially complementary to the top and bottom strands of tag sequences; and (b) designing an adapter primer that is partially complementary to the top strand of the adapter sequence; wherein: the tag primers comprise a 5′-universal tail sequence; and the adapter primer comprises a sequence complementary to the tails of Tag-pTOP or Tag-pBOT primers. In one aspect, the 5′-universal tail sequence is complementary to an SP1 or SP2 sequence (SEQ ID NO: 7, 8), a locus specific segment, a ribonucleotide (rN) 6-nucleotides from the 3′-end, a 3′-end mismatch, a 3′-end block (3′-C₃ spacer), a predesigned non-homologous sequence (SEQ ID NO: 269-273), or a predesigned 13-mer sequence. In another aspect, the primers partially complementary to top and bottom strands of the tag sequences comprise a tail sequence complementary to the SP1 sequence (SEQ ID NO: 7) and the adapter primer comprises a sequence complementary to the SP2 sequence (SEQ ID NO: 8) tail on the Tag-pTOP or Tag-pBOT primers; or the primers partially complementary to top and bottom strands of the tag sequences comprise a tail sequence complementary to the SP2 sequence (SEQ ID NO: 8) and the adapter primer comprises a sequence complementary to the SP1 sequence (SEQ ID NO: 7) tail on the Tag-pTOP or Tag-pBOT primers. In another aspect, the amplification of a nucleic acid molecule with the primers that are complementary to the top and bottom strands of tag sequences and primers that are complementary to the top strand of the adapter sequence produces a PCR product that comprises a portion of the tag sequence, a sgDNA sequence, and the adapter sequence. In another aspect, the method further comprises synthesizing oligonucleotides comprising the sequences of the forward and reverse tag primers and the adapter primer. In another aspect, the 52-base pair tag sequences and primers partially complementary to the 52-base pair tag sequences are designed and selected using an algorithm predicting whether the primers are likely to be partially complementary and have a propensity to form primer-dimers.

Other embodiments described herein are one or more primers partially complementary to the 52-base pair tag sequences and one or more adapter primers designed using the methods described herein. In one aspect, the primers comprise the sequences of SEQ ID NO: 3, 4; and the adapter primer, wherein the adapter primer comprises the sequence of SEQ ID NO: 5.

Another embodiment described herein is the use of one or more double-stranded 52-base pair tag sequences for identifying on- and off-target CRISPR editing sites.

DESCRIPTION OF THE DRAWINGS

FIG. 1 shows fraction of reads shared by three biological replicates are shown in white sectors; whereas reads shared by two replicates, or present in a single replicate, are shown in black sectors. Table 1 shows GUIDE-seq [3] based nomination for 4 different gRNAs in triplicate in a 96-well format. gRNA complexes were generated by mixing equimolar amounts of Alt-R crRNA-XT and Alt-R tracrRNA. HEK293 cells stably expressing Cas9 were transfected with 10 μM gRNA and 0.5 μM dsODN GUIDE-seq tag using the Nucleofector™ system (Lonza). After 72 hrs, genomic DNA (gDNA) was isolated. Genomic DNA was fragmented, and adapters were ligated using the Lotus DNA library preparation kit (IDT). Libraries were generated by amplification from the inserted tag to the ligated adapters [3]. Libraries were then sequenced in paired-end fashion on an IIlumina® platform.

FIG. 2 shows that GUIDE-Seq finds more off-target locations than can be validated through rhAmpSeq targeted amplification. Presented results are an aggregate of 331 GUIDE-Seq nominated sites when delivering gRNA sequences (internally named: AR, CTNNB1, EMX1, GRHPR, HPRT38087, HPRT38285, VEGFA) into HEK293 cells stably expressing WT Cas9. GUIDE-seq nominated off-targets assigned 0.1% of the total reference genome aligned reads for each guide were designed and targeted by one rhAmpSeq panel all reference genome aligned. In subsequent experiments, gRNAs were again delivered to the same cells, and editing was assayed with rhAmpSeq. Targets were called “edited” if the treated condition had observed indels ≥the untreated control sample at %.

FIG. 3 illustrates that GUIDE-Seq tag integration rate varies. The graph shows the percentage of Tag integration (normalized to % Editing) for 118 unique Cas9 on/off-target sites that had InDel editing in rhAmpSeq panels targeting GUIDE-Seq nominated on/off-target loci for guide sequences targeting the RAG1, RAG2, and EMX1 genes. Each guide was co-delivered with the 34-base pair GUIDE-Seq, dsODN tag into HEK293 cells stably expressing Cas9 by nucleofection. DNA was extracted 72 hrs later, amplified by rhAmpSeq multiplex PCR, sequenced on an Illumina® MiSeq, and analyzed through a custom pipeline. The normalized tag integration rate is calculated as the percentage of sequenced reads at each target containing the tag sequence divided by the total reads containing an allele divergent from the reference genome (indicating Cas9 editing).

FIG. 4 shows the design of rhAmpSeq primers against alien sequence tags. A cartoon diagram shows the steps of the design process using the rhAmpSeq design pipeline including design of forward primers against the top (1) and bottom (2) strands, discarding unneeded primers, and selecting tag-targeting primers that have 5′-overlapping, but not 3′-overlapping sequences, so that the top/bottom strand primer dimers would hairpin (3).

FIG. 5 shows an overview of the rhAmpSeq design pipeline used to construct the overlapping primer designs. In the pipeline, a known sequence is appended onto the 5′-end and 3′-end of each tag sequence, the inputs are quality-controlled and assays (shown in FIG. 4A) are designed against the top and bottom strand of each tag. Primers targeting each tag strand are paired such that at least 4-nucleotides 3′ of the RNA nucleotide do not overlap between primers targeting the same tag, and primer pairs are ranked and selected. Hg38 and mm38 acronyms represent versions of the human and mouse genomes, respectively.

FIG. 6 illustrates hairpin formation if overlapping primers generate PCR amplicons. The diagram shows a representative target sequence and hairpin PCR product of undesired short amplicons from overlapping primer regions with complementary 5′ primer tail ends at the 3′- and 5′-end of the PCR product.

FIG. 7 shows the number of target sites (black bars) with integration of the specified single tag (SEQ ID NO: 9-40) or pools of tags described in Table 5 (SEQ ID NO: 9-40, 45-268). The striped bar (CTLmax) shows the maximum number of target sites that theoretically can be found if a combination of the single tags (SEQ ID NO: 9-40) is used (23 sites out of a maximum of 32 sites). Pool A1 contains all the single tags (SEQ ID NO: 9-40). Pools B1-6 contain 16 different tags each (SEQ ID NO: 45-268). Pool C1 contains all tags tested (SEQ ID NO: 9-40, 45-268). Integration events were determined using an in-house data analysis tool.

FIG. 8 shows the number of target sites (black bars) with integration of the specified single tag (SEQ ID NO: 9-40) or pools of tags described in Table 5 (SEQ ID NO: 9-40, 45-268). The striped bar (CTLmax) shows the maximum number of target sites that theoretically can be found if a combination of the single tags (SEQ ID NO: 9-40) is used (47 sites out of a maximum of 53 sites). Pool A1 contains all the single tags (SEQ ID NO: 9-40). Pools B1-6 contain 16 different tags each (SEQ ID NO: 45-268). Pool C1 contains all tags tested (SEQ ID NO: 9-40, 45-268). Integration events were determined using an in-house data analysis tool.

DETAILED DESCRIPTION

Described herein are methods for detecting and nominating on- and off-target CRISPR editing sites with improved accuracy and sensitivity. The intracellular context information is maintained by building upon prior in vivo nomination methods. The sensitivity is expanded by co-delivering a set of unique, predefined sequence tags. In one aspect, the co-delivered set of predefined unique tags may range from 13-80 base pairs. In another aspect, the co-delivered set of predefined tags may be comprised of 13 base pair tag sequence tags, 26 base pair tag sequence tags, 39 base pair tag sequence tags, 52 base pair tag sequence tags, 65 base pair tag sequence tags, or 78 base pair tag sequence tags. In another aspect, the unique predefined tags are a set of 52-base pair tag sequence tags (the increased length of the sequence tags improves the ability to find good primer landing sites for rhPrimers). This limitation is believed to be mitigated by using a diversity of tag sequences that are distinct from human and mouse genomes. The specificity is improved by building upon Integrated DNA Technologies (IDT)'s rhAmp technology that uses RNAaseH2 (Pyrococcus abyssi) to unblock primers that have correctly annealed to their target; this yields lower rates of false priming. Specificity can be further enhanced by only nominating targets using reads that contain an expected tag sequence at the 5′-end. The incorporation of suppression PCR into this method permits ease of use. The prior in vivo methods (e.g., GUIDE-seq and iGUIDE) require parallel PCR reactions (2 pool amplification) to amplify by annealing to and extending from the top and bottom strand of the tags. Here, suppression PCR is used to allow both pools to be amplified simultaneously without causing problematic dimer sequences.

A GUIDE-Seq dsDNA tag was co-delivered with one guide RNA to HEK293 cells constitutively expressing Cas9 using nucleofection. See U.S. Pat. No. 9,822,407, which is incorporated by reference herein for such teachings. A total of four different guide RNAs were tested in this fashion. Ribonucleoprotein complexes (RNPs) between the expressed Cas9 and guide RNA form within the cells, introducing double stranded breaks. Repaired breaks can contain the co-delivered tags. After delivery, cells were incubated, and the resulting DNA was extracted. Target amplification was performed according to the GUIDE-Seq protocol and assayed with a modified version of the GUIDE-Seq analytical pipeline (github.com/aryeelab/guideseq). Nominated targets were compared between three biological replicates (unique guideRNA+Tag co-deliveries). Not all nominated targets were common to all biological replicates (commonly/total nominated targets: 7/31, 6/19, 2/4, 3/5 respectively; see Table 1). However, >90% of the total reads, attributed to any target, were attributed to common targets (on average; see FIG. 1).

TABLE 1
Identified off-target sites for four different gRNAs and relative
level of editing at off-target sites compared to the on-target site
Location	C19orf84_BR1	C19orf84_BR2	C19orf84_BR3
chr19_51389306	100.00%	100.00%	100.00%
chr9_20224748	38.55%	16.43%	29.00%
chr4_28036434	16.33%	13.05%	14.36%
chr15_74256506	14.30%	18.18%	25.17%
chr2_171312919	11.40%	8.51%	7.93%
chr8_65742269	10.82%	1.17%	10.40%
chr13_96554656	8.70%	0.00%	0.00%
chr4_86807920	8.50%	9.21%	1.92%
chr3_124485356	6.57%	0.00%	0.00%
chr9_20330398	5.60%	0.00%	0.00%
chr11_71298123	5.12%	0.00%	0.00%
chr7_101729696	4.83%	0.00%	9.58%
chr19_10923882	3.67%	3.03%	0.00%
chr10_15548456	3.57%	15.38%	0.00%
chr12_117097457	2.80%	0.00%	2.60%
chr22_33493900	2.13%	0.00%	4.79%
chrX_149763439	2.13%	0.00%	3.83%
chr17_7435217	1.93%	0.00%	0.55%
chr12_26286721	1.74%	0.00%	5.06%
chr16_49704848	1.26%	5.01%	7.11%
chr12_51288216	1.06%	0.00%	0.00%
chr12_56010621	0.87%	0.00%	0.00%
chr13_29717148	0.48%	0.00%	0.00%
chr1_3088065	0.29%	0.00%	0.00%
chr15_73442915	0.19%	0.00%	0.55%
chr10_118045968	0.19%	0.00%	0.00%
chr14_102199972	0.00%	0.00%	0.68%
chr18_56334679	0.00%	0.00%	2.33%
chr21_36426137	0.00%	0.00%	2.19%
chr5_139002763	0.00%	0.00%	3.83%
chrX_58291642	0.00%	0.00%	3.83%
Location	C17orf99_BR1	C17orf99_BR2	C17orf99_BR3
chr17_78164110	100.00%	100.00%	100.00%
chr22_24471716	15.00%	13.24%	10.86%
chr10_101156881	6.22%	11.07%	9.79%
chr3_170476431	5.86%	3.97%	4.57%
chr17_17692965	4.94%	0.66%	8.62%
chr15_73400031	3.93%	4.63%	5.73%
chr19_15238775	0.00%	0.00%	2.56%
chr2_18362316	0.00%	0.00%	1.59%
chr2_171087784	0.00%	0.54%	0.84%
chr22_19959968	0.00%	1.26%	0.19%
chr22_32114104	0.00%	0.00%	4.06%
chr4_129034015	0.00%	0.00%	0.33%
chr5_61219030	0.00%	0.00%	0.33%
chr5_66209615	0.00%	0.00%	1.86%
chr7_69709389	0.00%	0.12%	2.75%
chr7_158662844	0.00%	1.44%	5.27%
chrX_9567397	0.00%	0.00%	0.23%
chr19_55657073	0.00%	0.66%	0.00%
chr22_43788032	0.00%	2.47%	0.00%
Location	C16orf90_BR1	C16orf90_BR2	C16orf90_BR3
chr16_3494817	100.00%	100.00%	100.00%
chr2_109189307	75.32%	4.27%	52.05%
chr22_24586001	45.45%	0.00%	0.00%
chr10_104736568	0.00%	0.00%	8.22%
Location	ATAD3C_BR1	ATAD3C_BR2	ATAD3C_BR3
chr1_1450685	100.00%	100.00%	100.00%
chr1_1503588	11.73%	10.07%	9.27%
chr1_1516015	2.47%	1.86%	5.14%
chr19_32167960	26.34%	0.93%	0.00%
chr2_111077960	0.00%	1.12%	0.00%

Additionally, nominated targets may not be replicable or detectable using orthogonal methods. Using the GUIDE-Seq method, the GUIDE-Seq DNA tag was co-delivered with each of 6 guides (each tag is delivered with one guide RNA) to HEK293 cells constitutively expressing Cas9 using nucleofection. rhAmpSeq multiplex amplicon panels were designed to amplify the nominated targets, and we quantified editing in biological replicates. Of the 331 targets nominated by GUIDE-Seq, only 41 (12%) could be verified with rhAmpSeq (see FIG. 2).

dsDNA tag sequences co-delivered with the guide RNAs into a stably expressing CRISPR cell line, which are used in the NHEJ repair, are incorporated at varying rates. Here, the GUIDE-Seq dsDNA tag was co-delivered with each of 6 guides into HEK293 cells constitutively expressing Cas9. In another aspect, the dsDNA tag sequences co-delivered with CRISPR RNP, which are used in the NHEJ repair, are incorporated at varying rates. Here, the GUIDE-Seq dsDNA tag was co-delivered with each of 6 guides into HEK293 cells constitutively expressing Cas9. rhAmpSeq panels were developed to amplify nominated targets, and in biological replicates, the rates of tag integration were analyzed using a custom analytical pipeline. These results demonstrate that tags are incorporated at 0-85% of edited genomic copies, varying by target (see FIG. 3). Without being bound by any theory, it is hypothesized that the rate varies by sequence context.

Described herein are methods to improve the signal to noise ratio by combining Integrated DNA Technology's rhAmpSeg™ technology, suppression PCR, and novel alien DNA sequence designs to nominate nuclease off-target editing locations within a host genome.

In this method, Cas9, a sgRNA or a two-part CRISPR RNA:trans-activating crRNA (crRNA:tracrRNA) duplex, and one or more double stranded DNA (dsDNA) tag sequences are delivered to cells. Co-delivering multiple tags permits improved tag integration at off-target sites (see below). The tag sequences have sequence content significantly different (i.e., alien) to the host genome. After nuclease introduced DSBs, NHEJ repair will insert the tag sequence(s) into the target site, forming known primer landing sites. After cells have time to repair the DSBs and possibly further divide (such as after 72 hr), genomic DNA is isolated, fragmented (e.g., Covaris® shearing, enzyme-based shearing, Tn5, etc.), ligated a unique molecular index (UMI)-containing universal adapter sequence to the fragmented DNA, and the un-ligated material is removed. Next, the DNA fragments are amplified by targeting primers to the tag and universal adapter sequences (Round 1 PCR). Using universal primers, a sample index (PCR2) is added, the amplified material is concentration normalized, pooled with other samples, and the pooled material is sequenced on an IIlumina® (or similar) machine. The sequenced reads are aligned to a reference genome, and loci where large numbers of reads map may nominate on/off-target locations.

Alien sequences were designed by generating >1 M random 13-mer sequences with 40-90% GC content, max homopolymer length A:2, C:3, G:2, T:2, weighted homopolymer rate <20, self-folding T_m<50° C., and self-dimer T_m<50° C. From the list of sequences, sequences that aligned perfectly against human (GRCh38.p2; hg38) or mouse (GRCh38.p4; mm38) reference genomes or had troubling motif sequences (homopolymers, most G-G or C-C dinucleotide motifs) were removed, resulting in 479 sequences.

To design the 52-base pair tag sequences described herein, 49 13-mer oligo sequences were selected that contain ≤1 C or G dinucleotide, and 10,000 unique combinations of four 13-mer sequences were generated. The length of each concatenated sequence (e.g., pasting four 13-mer sequences in a row using software) is 52-nucleotides. Next, each 52-nucleotide tag sequence was aligned against the human (GRCh38.p2) and mouse (GRChm38.p4) genomes using an internally modified version of bwa, called bwa-psm. Implementation of bwa-psm returns all possible secondary matches up to a defined threshold. A set of tag sequences (SEQ ID NO:1-2) were designed that were intended to work as a group, that had no similarity to the human or mouse genomes (max seed size: 7, seed edit distance: 2, max edit distance: 21, max gap open: 2, max gap extension: 3, mismatch penalty: 1, gap open penalty: 1, gap extension penalty: 1).

Overlapping rhAmpSeq V1 primers (SEQ ID NO: 3-4) were designed complementary to the top and bottom strands of the tag and 5′-end of the adapter sequence (SEQ ID NO: 6) (FIG. 4). The tag-specific primers (SEQ ID NO: 3-4) contain a 5′-universal tail sequence matching the SP1 and SP2 primer sequences (SEQ ID NO: 7-8), a locus specific segment, a ribonucleotide (rN) 6-nucleotides from the 3′-end, a 3′-end mismatch, and a 3′-end block (3′-C₃ spacer). The adapter-specific primer (SEQ ID NO: 5) targets the 5′-end of the 5′-P5 adapter sequence (SEQ ID NO: 6), and the adapter sequence contains unique molecular index (UMI) sequence (Table 2). The primers were designed to target the plus and minus strands of the annealed tag such that, if these primers unexpectedly form a dimer, the formed product will hairpin, removing the oligo from the available reaction templates (e.g., supression PCR). (FIG. 6A-B). Primer sequences targeting the tags were chosen based on a proprietary design algorithm designed and implemented by IDT (internal copy of the algorithm with a public-facing UI: www.idtdna.com/site/account?RetumURL=/site/order/designtool/index/RHAMPSEQ), which selects the most optimally performing primer pairs to amplify the intended template sequence. (FIG. 5). Primer sequences were assessed for non-specific binding to all other tag sequences and both human and mouse primary genome assemblies to verify they were unlikely to form off-target amplicons when combined with a universal adapter sequence and the presence of human or mouse genomic DNA.

The primers were desired to work in pairs where one tag-specific primer (top or bottom strand) pairs with the adapter-specific primer (SEQ ID NO:5). This results in the amplification of a molecule that contains a portion of the tag, gDNA, and the adapter sequence when amplified using supression PCR methods (FIG. 4).

TABLE 2
Sequences Used for First Proof of Concept
			SEQ
		Sequence	ID
Type	Name	(5′→3′)	NO
Tag	9022179029169042579	T*C*GTTCGTTC	SEQ
	04625907201907281	CGCTCTAACCGG	ID
		CGAATCTACCGC	NO:
		GCATATCTACGC	1
		CGCA*A*T
Tag	9022179029169042579	A*T*TGCGGCGT	SEQ
	04625907201907281_r	AGATATGCGCGG	ID
	ev	TAGATTCGCCGG	NO:
		TTAGAGCGGAAC	2
		GAAC*G*A
Tag	pFWD.ID_Target1:	acactctttccc	SEQ
Primers	9022179029169042579	tacacgacgctc	ID
	04625907201907281.12	ttccgatctTCT	NO:
	7.150.1.SP1	ACCGCGCATATC	3
		TACrGCCGCT/
		3SpC3/
Tag	pFWD.ID_Target2:	acactctttccc	SEQ
Primers	9022179029169042579	tacacgacgctc	ID
	04625907201907281.11	ttccgatctATA	NO:
	6.140.-1.SP1	TGCGCGGTAGAT	4
		TCGCrCGGTTT/
		3SpC3/
Adapter	Adapter Primer	gtgactggagtt	SEQ
Primer		cagacgtgtgct	ID
		cttccgatctAA	NO:
		TGATACGGCGAC	5
		CACCGAGATCTA
		CArCAAGGC/
		3SpC3/
P5 Adapter	Example Sequence	AATGATACGGCG	SEQ
		ACCACCGAGATC	ID
		TACACTAGATCG	NO:
		CNNWNNWNNACA	6
		CTCTTTCCCTAC
		ACGACGCTCTTC
		CGATC*T
SP1	Sequencing Primer 1	acactctttccc	SEQ
		tacacgacgctc	ID
		ttccgatct	NO:
			7
SP2	Sequencing Primer 2	gtgactggagtt	SEQ
		cagacgtgtgct	ID
		cttccgatct	NO:
			8
“*” indicates a phosphorothioate linkage; “rN” indicates a ribonucleotide, where N is the nucleotide preceeded by the “r”; “/3SpC3/” indicates a 3′-C3 spacer.

One embodiment described herein is a method for identifying and identifying and nominating on- and off-target CRISPR editing sites with improved accuracy and sensitivity, the process comprising the steps of: (a) co-delivering a guide sequence RNA (sgRNA) or a two-part CRISPR RNA:trans-activating crRNA (crRNA:tracrRNA) duplex and one or more tag sequences to cells; (b) incubating the cells for a period of time; (c) isolating genomic DNA from the cells, fragmenting the genomic DNA, and ligating the fragmented genomic DNA to a unique molecular index containing a universal adapter sequence; (d) amplifying the ligated DNA fragments using primers targeting the tag and universal adapter sequences to produce a first set of amplified sequences; (e) amplifying the first set of amplified sequences using universal sequencing primers targeting the tails of Tag-pTOP or Tag-pBOT primers to produce a second set of amplified sequences; (f) sequencing the pooled sequences and obtaining sequencing data; and (g) identifying on-/off-target CRISPR editing loci. In one embodiment, the universal sequencing primers target SP1 or SP2 sequence (SEQ ID NO: 7, 8) tails on the Tag-pTOP or Tag-pBOT primers to produce a second set of amplified sequences. In another embodiment, the universal sequencing primers target predesigned non-homologous sequence (Table 6; SEQ ID NO: 269-273) tails on the Tag-pTOP or Tag-pBot to produce a second set of amplified sequences. In yet another embodiment, the universal primers target predesigned 13-mer tails on the Tag-pTOP or Tag-pBOT primers to produce a second set of amplified sequences. In one embodiment, step (g) comprises executing on a processor: (i) aligning the sequence data to a reference genome; (ii) identifying on-/off-target CRISPR editing loci; and (iii) outputting the alignment, analysis, and results data as tables or graphics. In another embodiment, the method further comprises a step following step (e) comprising: (e1) normalizing the second set of amplified sequences to produce concentration normalized libraries, pooling the normalized libraries with other samples to produce pooled libraries; and continuing with steps (f)-(i). In one aspect, step (d) uses a supression PCR method. In another aspect, the cells constitutively express a Cas enzyme, are co-delivered with a Cas expression vector, are co-delivered with a Cas protein, or are co-delivered with a Cas RNP complex. In another aspect, the cells constitutively express a Cas9 enzyme, are co-delivered with a Cas9 expression vector, are co-delivered with a Cas9 protein, or are co-delivered with a Cas9 RNP complex. In another aspect, the cells comprise human or mouse cells. In another aspect, the period of time is about 24 hours to about 96 hours. In another aspect, multiple tag sequences are co-delivered. In another aspect, the tag sequences comprise double-stranded deoxyribooligonucleotides (dsDNA) comprising 52-base pairs. In another aspect, the tag sequences comprise a 5′-terminal phosphate, and phosphorothioate linkages between the 1^st and 2^nd, 2^nd and 3_rd, 50^th and 51^st, and 51^st and 52^nd nucleotides. In another aspect, the tag sequences comprise a double stranded DNA comprising the top and bottom strand pairs of SEQ ID NO: 9-40 or 45-268.

Another embodiment described herein is on- and off-target CRISPR editing sites identified or nominated using the methods described herein.

Another embodiment described herein is a method for designing 52-base pair tag sequences, the method comprising, executing on a processor: (a) randomly generating 13-nucleotide sequences with 40-90% GC content, max homopolymer length A:2, C:3, G:2, T:2, weighted homopolymer rate <20, self-folding T_m<50° C., and self-dimer T_m<50° C.; (b) removing sequences that perfectly align to a particular genome or that are homopolymers or GG or CC dinucleotide motifs and obtaining a set of 13-mers; (c) selecting a subset of the 13-mer sequences that contain one or less CC or GG dinucleotide motifs; (d) concatenating four of the of 13-mer subset sequences to form random 52-mer sequences; (e) aligning the random 52-mer sequences to a genome; (f) removing the random 52-mer sequences that have similarity to the genome to produce a subset of 52-mer sequences; and (h) outputting the subset of 52-mer sequences and generating the complementary strands to produce double stranded 52-base pair tag sequences. In one aspect, the genome is human or mouse. In one aspect, the 52-base pair tag sequences are not complementary to the genome. In another aspect, the method further comprises designing primers for the 52-base pair tag sequences. In another aspect, the 52-base pair tag sequences comprise a 5′-terminal phosphate, and phosphorothioate linkages between the 1^st and 2^nd, 2^nd and 3_rd, 50^th and 51^st, and 51^st and 52^nd nucleotides of the 52-base pair tag sequences. In another aspect, the method further comprises synthesising oligonucleotides comprising the 52-base pair tag sequences, the complement of the 52-base pair tag sequences, or primers for the 52-base pair tag sequences.

Another embodiment described herein is one or more 52-base pair tag sequences designed using the methods described herein. In one aspect, the 52-base pair tag sequence comprises a double stranded DNA comprising the complementary top and bottom strand pairs of SEQ ID NO: 9-40 or 45-268.

Another embodiment described herein is a method for designing primers partially complementary to the 52-base pair tag sequences described herein and an adapter primer, the method comprising, executing on a processor: (a) designing tag primers that are partially complementary to the top and bottom strands of tag sequences; and (b) designing an adapter primer that is partially complementary to the top strand of the adapter sequence; wherein: the tag primers comprise a 5′-universal tail sequence complementary to an SP1 or SP2 sequence (SEQ ID NO: 7, 8), a locus specific segment, a ribonucleotide (rN) 6-nucleotides from the 3′-end, a 3′-end mismatch, and a 3′-end block (3′-C₃ spacer); and the adapter primer comprises a sequence complementary to the SP1 or SP2 sequence (SEQ ID NO: 7, 8). In one aspect, the primers partially complementary to top and bottom strands of the tag sequences comprise a sequence complementary to the SP1 sequence and the adapter primer comprises a sequence complementary to the SP2 sequence; or the primers partially complementary to top and bottom strands of the tag sequences comprise a sequence complementary to the SP2 sequence and the adapter primer comprises a sequence complementary to the SP1 sequence. In another aspect, amplification of a nucleic acid molecule with the primers that are complementary to the top and bottom strands of tag sequences and primers that are complementary to the top strand of the adapter sequence produces a PCR product that comprises a portion of the tag sequence, a sgDNA sequence, and the adapter sequence. In another aspect, the method further comprises synthesising oligonucleotides comprising the sequences of the forward and reverse tag primers and the adapter primer.

In another embodiment described herein, the 52-base pair tag sequences and primers partially complementary to the 52-base pair tag sequences are designed and selected using an algorithm predicting whether the primers are likely to be partially complementary and have a propensity to form primer-dimers.

Another embodiment described herein is one or more primers partially complementary to the 52-base pair tag sequences and one or more adapter primers designed using the methods described herein. In one aspect, the primers partially complementary to the 52-base pair tag sequence comprise the sequences of SEQ ID NO: 3, 4; and the adapter primer comprises the sequence of SEQ ID NO:5.

Another embodiment described herein is the use of one or more double-stranded 52-base pair tag sequences for identifying on- and off-target CRISPR editing sites.

It will be apparent to one of ordinary skill in the relevant art that suitable modifications and adaptations to the compositions, formulations, methods, processes, and applications described herein can be made without departing from the scope of any embodiments or aspects thereof. The compositions and methods provided are exemplary and are not intended to limit the scope of any of the specified embodiments. All the various embodiments, aspects, and options disclosed herein can be combined in any variations or iterations. The scope of the methods and processes described herein include all actual or potential combinations of embodiments, aspects, options, examples, and preferences herein described. The methods described herein may omit any component or step, substitute any component or step disclosed herein, or include any component or step disclosed elsewhere herein. It should also be understood that embodiments may include and otherwise be implemented by a combination of various hardware, software, and electronic components. For example, various microprocessors and application specific integrated circuits (“ASICs”) can be utilized, as can software of a variety of languages. Also, servers and various computing devices can be used and can include one or more processing units, one or more computer-readable mediums, one or more input/output interfaces, and various connections (e.g., a system bus) connecting the components. Should the meaning of any terms in any of the patents or publications incorporated by reference conflict with the meaning of the terms used in this disclosure, the meanings of the terms or phrases in this disclosure are controlling. Furthermore, the specification discloses and describes merely exemplary embodiments. All patents and publications cited herein are incorporated by reference herein for the specific teachings thereof.

Various embodiments and aspects of the inventions described herein are summarized by the following clauses:

• Clause 1. A method for identifying and nominating on- and off-target CRISPR edited sites with improved accuracy and sensitivity, the process comprising the steps of:
  • (a) co-delivering a guide sequence RNA (sgRNA) or a two-part CRISPR RNA:trans-activating crRNA (crRNA:tracrRNA) duplex, one or more tag sequences, and an RNA-guided endonuclease to cells;
  • (b) incubating the cells for a period of time sufficient for double strand breaks to occur; (c) isolating genomic DNA from the cells, fragmenting the genomic DNA, and ligating the fragmented genomic DNA to a unique molecular index containing a universal adapter sequence;
  • (d) amplifying the ligated DNA fragments using primers targeting the tag and universal adapter sequences to produce a first set of amplified sequences;
  • (e) amplifying the first set of amplified sequences using universal sequencing primers targeting the tails of Tag-pTOP or Tag-pBOT primers to produce a second set of amplified sequences;
  • (f) sequencing the pooled sequences and obtaining sequencing data; and
  • (g) identifying on-/off-target CRISPR editing loci.
• Clause 2. The method of clause 1, wherein the universal sequencing primers target SP1 or SP2 sequence (SEQ ID NO: 7, 8) tails on the Tag-pTOP or Tag-pBOT primers to produce a second set of amplified sequences.
• Clause 3. The method of clause 1 or 2, wherein the universal sequencing primers target predesigned non-homologous sequence (SEQ ID NO: 269-273) tails on the Tag-pTOP or Tag-pBot primers to produce a second set of amplified sequences.
• Clause 4. The method of any one of clauses 1-3, wherein the universal sequencing primers target predesigned 13-mer tails on the Tag-pTOP or Tag-pBot primers to produce a second set of amplified sequences.
• Clause 5. The method of any one of clauses 1-4, wherein step (g) comprises executing on a processor:
• Clause 6. aligning the sequence data to a reference genome;
  • (a) (ii) identifying on-/off-target CRISPR editing loci; and
  • (b) (iii) outputting the alignment, analysis, and results data as custom-formatted files, tables or graphics.
• Clause 7. The method of any one of clauses 1-5, further comprising a step following step (e) comprising:
  • (a) (e1) normalizing the second set of amplified sequences to produce concentration normalized libraries, pooling the normalized libraries with other samples to produce pooled libraries; and continuing with steps (f)-(i).
• Clause 8. The method of any one of clauses 1-6, wherein step (d) uses a supression PCR method.
• Clause 9. The method of any one of clauses 1-7, wherein the RNA-guided endonuclease comprises an endogenously-expressed Cas enzyme, a Cas expression vector, a Cas protein, or a Cas RNP complex.
• Clause 10. The method of any one of clauses 1-8, wherein the RNA-guided endonuclease comprises an endogenously-expressed Cas9 enzyme, a Cas9 expression vector, a Cas9 protein, or a Cas9 RNP complex.
• Clause 11. The method of any one of clauses 1-9, wherein the cells comprise human or mouse cells.
• Clause 12. The method of any one of clauses 1-10, wherein the period of time is about 24 hours to about 96 hours.
• Clause 13. The method of any one of clauses 1-11, wherein multiple tag sequences are co-delivered.
• Clause 14. The method of any one of clauses 1-12, wherein the tag sequences comprise double-stranded deoxyribooligonucleotides (dsDNA) comprising 52-base pairs.
• Clause 15. The method of any one of clauses 1-13, wherein the tag sequences comprise a 5′-terminal phosphate, and phosphorothioate linkages between the 1^st and 2^nd, 2^nd and 3^rd, 50^th and 51^st, and 51^st and 52^nd nucleotides.
• Clause 16. The method of any one of clauses 1-14, wherein the tag sequences comprise a double stranded DNA comprising the complementary top and bottom strand pairs of SEQ ID NO: 1-2 or 7-268.
• Clause 17. On- and off-target CRISPR editing sites identified or nominated using the method of any one of clauses 1-15.
• Clause 18. A method for designing 52-base pair tag sequences, the method comprising, executing on a processor:
  • (a) randomly generating 13-nucleotide sequences with 40-90% GC content, max homopolymer length A:2, C:3, G:2, T:2, weighted homopolymer rate <20, self-folding T_m<50° C., and self-dimer T_m<50° C.;
  • (b) removing sequences that perfectly align to a particular genome or that are homopolymers or GG or CC dinucleotide motifs and obtaining a set of 13-mers;
  • (c) selecting a subset of the 13-mer sequences that contain one or less CC or GG dinucleotide motifs;
  • (d) concatenating four of the of 13-mer subset sequences to form random 52-mer sequences;
  • (e) aligning the random 52-mer sequences to a genome;
  • (f) removing the random 52-mer sequences that have similarity to the genome to produce a subset of 52-mer sequences; and
  • (g) outputting the subset of 52-mer sequences and generating the complementary strands to produce double stranded 52-base pair tag sequences.
• Clause 19. The method of clause 17, wherein the genome is human or mouse.
• Clause 20. The method of clause 17 or 18, wherein the 52-base pair tag sequences are-non complementary to the genome.
• Clause 21. The method of any one of clauses 17-19, further comprising designing primers for the 52-base pair tag sequences.
• Clause 22. The method of any one of clauses 17-20, wherein the 52-base pair tag sequences comprise a 5′-terminal phosphate, and phosphorothioate linkages between the 1^st and 2^nd, 2^nd and 3^rd, 50^th and 51^st, and 51^st and 52^nd nucleotides of the 52-base pair tag sequences.
• Clause 23. The method of any one of clauses 17-21, further comprising synthesizing oligonucleotides comprising the 52-base pair tag sequences, the complement of the 52-base pair tag sequences, or primers for the 52-base pair tag sequences.
• Clause 24. One or more 52-base pair tag sequences designed using the methods of clauses 17-22.
• Clause 25. The 52-base pair tag sequences of clause 23, wherein the 52-base pair tag sequence comprises a double stranded DNA comprising the top and bottom strand pairs of SEQ ID NO: 1-2 or 7-268.
• Clause 26. A method for designing primers partially complementary to the 52-base pair tag sequences of clause 23 and an adapter primer, the method comprising, executing on a processor:
  • (a) designing tag primers that are partially complementary to the top and bottom strands of tag sequences; and
  • (b) designing an adapter primer that is partially complementary to the top strand of the adapter sequence;
  • (c) wherein:
  • (d) the tag primers comprise a 5′-universal tail sequence; and
  • (e) the adapter primer comprises a sequence complementary to the tails of Tag-pTOP or Tag-pBOT primers.
• Clause 27. The method of clause 25, wherein the 5′-universal tail sequence is complementary to an SP1 or SP2 sequence (SEQ ID NO: 7, 8), a locus specific segment, a ribonucleotide (rN) 6-nucleotides from the 3′-end, a 3′-end mismatch, a 3′-end block (3′-C₃ spacer), a predesigned non-homologous sequence (SEQ ID NO: 269-273), or a predesigned 13-mer sequence.
• Clause 28. The method of clause 25 or 26, wherein the primers partially complementary to top and bottom strands of the tag sequences comprise a tail sequence complementary to the SP1 sequence (SEQ ID NO: 7) and the adapter primer comprises a sequence complementary to the SP2 sequence (SEQ ID NO: 8) tail on the Tag-pTOP or Tag-pBOT primers; or the primers partially complementary to top and bottom strands of the tag sequences comprise a tail sequence complementary to the SP2 sequence (SEQ ID NO: 8) and the adapter primer comprises a sequence complementary to the SP1 sequence (SEQ ID NO: 7) tail on the Tag-pTOP or Tag-pBOT primers.
• Clause 29. The method of any one of clauses 25-27, wherein the amplification of a nucleic acid molecule with the primers that are complementary to the top and bottom strands of tag sequences and primers that are complementary to the top strand of the adapter sequence produces a PCR product that comprises a portion of the tag sequence, a sgDNA sequence, and the adapter sequence.
• Clause 30. The method of any one of clauses 25-28, further comprising synthesizing oligonucleotides comprising the sequences of the forward and reverse tag primers and the adapter primer.
• Clause 31. The method of any one of clauses 17-21 and 25-29, wherein the 52-base pair tag sequences and primers partially complementary to the 52-base pair tag sequences are designed and selected using an algorithm predicting whether the primers are likely to be partially complementary and have a propensity to form primer-dimers.
• Clause 32. One or more primers partially complementary to the 52-base pair tag sequences and one or more adapter primers designed using the method of clauses 22-25.
• Clause 33. The primers of clause 32, wherein the primers comprise the sequences of SEQ ID NO: 3, 4; and the adapter primer, wherein the adapter primer comprises the sequence of SEQ ID NO: 5.
• Clause 34. Use of one or more double-stranded 52-base pair tag sequences for identifying on- and off-target CRISPR editing sites.

REFERENCES

• 1. Wenert et al., “Unbiased detection of CRISPR off-targets in vivo using DISCOVER-seq,” Science 364(6437): 286-289 (2019).
• 2. Nobles et al., “IGUIDE: An improved pipeline for analyzing CRISPR cleavage specificity,” Genome Biol. 20(14): 4-9 (2019).
• 3. Tsai et al., “GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases,” Nature Biotechnol. 33(2): 187-197 (2015).
• 4. Yan et al., “BLISS is a versatile and quantitative method for genome-wide profiling of DNA double-strand breaks,” Nature Commun. 8: 15058 (2017).
• 5. Tsai et al., “CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR-Cas9 nuclease off-targets,” Nature Methods 14(6): 607-614 (2017).
• 6. Cameron et al., “Mapping the genomic landscape of CRISPR-Cas9 cleavage,” Nature Methods 14(6): 600-606 (2017).
• 7 Char and Moosburner, “Unraveling CRISPR-Cas9 genome engineering parameters via a library-on-library approach,” Nature Methods 12(9): 823-826 (2015).
• 8. Rand et al., “Headloop suppression PCR and its application to selective amplification of methylated DNA sequences,” Nucleic Acids Res. 33(14):e127 (2005).

EXAMPLES

Example 1

This experiment demonstrates the increased efficiency in tag integration when using double-stranded DNA tags with a length of 52-base pairs and varying genetic sequence. The sequences used are shown in Tables 3-5. Double-stranded tags were generated by hybridization of a top strand and a complementary bottom strand (Tables 3-4; SEQ ID NO: 9-40 or 45-268). Sixteen different tag designs were introduced separately into HEK293 cells constitutively expressing Cas9 together with a guideRNA which targets the EMX1 locus. Alternatively, either pools of 16 tags or one pool of 112 tags were introduced into HEK293 cells constitutively expressing Cas9 together with a guideRNA which targets the EMX1 locus. GuideRNAs were electroporated at a concentration of 10 μM, whereas the single Tag or pooled Tags were delivered at a final concentration of 0.5 μM. Tag integration levels were determined by targeted amplification using rhAmpSeq primers (SEQ ID NO: 3-4), enriching for known on- and off-target sites of the EMX1 guideRNA. The rhAmpSeq pool for EMX1 consists of 32 sites, which represent empirically determined ON and OFF target loci. Amplified products were sequenced on an Illumina® MiSeq, and tag integration levels were determined using custom software. This example shows that tag integration efficiency varies among single tag constructs individually with a range between 6 (CTL021) and 13 (CTL169, CTL079, CTL002) sites out of a maximum of 32 sites, and is therefore sequence dependent (Single Tags, FIG. 7). By taking the mathematical union of the single tag results, a hypothetical number of 23 sites was calculated (CTLmax, FIG. 7). The hypothesis that combining a pool of tags would increase the likelihood of tag integration was tested and was demonstrated (Pooled Tags, Table, FIG. 7). Pool A1 consists of the tags represented in the Single Tags (see Table 5) and demonstrated that 21 tag integration events were detected out of a maximum of 32 sites, which is higher than achieved with any of the single tags. Similarly, Pool B3 demonstrated integration of a tag at 21 sites out of a maximum of 32 sites. Again, variability between pools was shown (Pooled Tags, FIG. 7), indicating optimization of tag designs can potentially maximize tag integration.

TABLE 3
Sequences Used for Second Proof of
Concept
			SEQ
			ID
	Name	Sequence (5′→3′)	NO
	CTL085_	/5Phos/A*C*GAGCGGTAGTCACCTA	SEQ
	TOP_tag	GTCGTCGTACCAATTCGACGCACACTA	ID
		CTCGC*G*C	NO:
			9
	CTL085_	/5Phos/G*C*GCGAGTAGTGTGCGTC	SEQ
	BOT_tag	GAATTGGTACGACGACTAGGTGACTAC	ID
		CGCTC*G*T	NO:
			10
	CTL169_	/5Phos/T*A*GCGCGAGTAGTCGGAC	SEQ
	TOP_tag	GAGCGGTTACCAATACGCCGCACCTTA	ID
		ATCCG*C*G	NO:
			11
	CTL169_	/5Phos/C*G*CGGATTAAGGTGCGGC	SEQ
	BOT_tag	GTATTGGTAACCGCTCGTCCGACTACT	ID
		CGCGC*T*A	NO:
			12
	CTL137_	/5Phos/T*C*GCGACAGTAGTCGTTC	SEQ
	TOP_tag	GGCTAGGTACCTATTACCGCGTAGTTA	ID
		GCGGC*G*T	NO:
			13
	CTL137_	/5Phos/A*C*GCCGCTAACTACGCGG	SEQ
	BOT_tag	TAATAGGTACCTAGCCGAACGACTACT	ID
		GTCGC*G*A	NO:
			14
	CTL042_	/5Phos/C*G*CGCTACTAGGTGCGTC	SEQ
	TOP_tag	GAATTGGTACCGATCCGCAATACACTA	ID
		CTCGC*G*C	NO:
			15
	CTL042_	/5Phos/G*C*GCGAGTAGTGTATTGC	SEQ
	BOT_tag	GGATCGGTACCAATTCGACGCACCTAG	ID
		TAGCG*C*G	NO:
			16
	CTL051_	/5Phos/G*G*TAACGAGCGGTGCGTC	SEQ
	TOP_tag	GAATTGGTAACCGCTCGTCCGACCTTA	ID
		ATCGC*G*C	NO:
			17
	CTL051_	/5Phos/G*C*GCGATTAAGGTCGGAC	SEQ
	BOT_tag	GAGCGGTTACCAATTCGACGCACCGCT	ID
		CGTTA*C*C	NO:
			18
	CTL167_	/5Phos/T*T*CGGCGCTAGGTGCGGC	SEQ
	TOP_tag	GTATTGGTAACCGCTCGTCCGTTCGGC	ID
		GCTAG*G*T	NO:
			19
	CTL167_	/5Phos/A*C*CTAGCGCCGAACGGAC	SEQ
	BOT_tag	GAGCGGTTACCAATACGCCGCACCTAG	ID
		CGCCG*A*A	NO:
			20
	CTL026_	/5Phos/T*A*CGCGACTAGGTGCGCG	SEQ
	TOP_tag	ATTAAGGTACCTATTACCGCGCGACTA	ID
		TGTGC*G*C	NO:
			21
	CTL026_	/5Phos/G*C*GCACATAGTCGCGCGG	SEQ
	BOT_tag	TAATAGGTACCTTAATCGCGCACCTAG	ID
		TCGCG*T*A	NO:
			22
	CTL068_	/5Phos/G*T*CGCGCAGTGTAGCGCG	SEQ
	TOP_tag	ATTAAGGTACCTATTACCGCGTCGCGA	ID
		CAGTA*G*T	NO:
			23
	CTL068_	/5Phos/A*C*TACTGTCGCGACGCGG	SEQ
	BOT_tag	TAATAGGTACCTTAATCGCGCTACACT	ID
		GCGCG*A*C	NO:
			24
	CTL138_	/5Phos/A*A*CCGTCGATCCGCGCGT	SEQ
	TOP_tag	AGTATGGTACCGATCCGCAATACTAGC	ID
		GCGAC*A*A	NO:
			25
	CTL138_	/5Phos/T*T*GTCGCGCTAGTATTGC	SEQ
	BOT_tag	GGATCGGTACCATACTACGCGCGGATC	ID
		GACGG*T*T	NO:
			26
	CTL079_	/5Phos/T*C*GCTCGATTGGTTACGC	SEQ
	TOP_tag	GCACTACTTATGCGCTCGACTCGTTCG	ID
		GCTAG*G*T	NO:
			27
	CTL079_	/5Phos/A*C*CTAGCCGAACGAGTCG	SEQ
	BOT_tag	AGCGCATAAGTAGTGCGCGTAACCAAT	ID
		CGAGC*G*A	NO:
			28
	CTL063_	/5Phos/A*C*TGCGAGCGTACTTGTC	SEQ
	TOP_tag	GCGCTAGTACCAATTCGACGCAACCGC	ID
		TCGTC*C*G	NO:
			29
	CTL063_	/5Phos/C*G*GACGAGCGGTTGCGTC	SEQ
	BOT_tag	GAATTGGTACTAGCGCGACAAGTACGC	ID
		TCGCA*G*T	NO:
			30
	CTL168_	/5Phos/C*G*CATTAGTCGGTGCGGC	SEQ
	TOP_tag	GTATTGGTAACCGCTCGTCCGACGCGC	ID
		TACCT*A*T	NO:
			31
	CTL168_	/5Phos/A*T*AGGTAGCGCGTCGGAC	SEQ
	BOT_tag	GAGCGGTTACCAATACGCCGCACCGAC	ID
		TAATG*C*G	NO:
			32
	CTL021_	/5Phos/A*T*TGCGGATCGGTGCGTC	SEQ
	TOP_tag	GAATTGGTAACCGCTCGTCCGTACGCG	ID
		CACTA*C*T	NO:
			33
	CTL021_	/5Phos/A*G*TAGTGCGCGTACGGAC	SEQ
	BOT_tag	GAAGCGGTTACCAATTCGCGCACCGAT	ID
		CCGCA*A*T	NO:
			34
	CTL151_	/5Phos/T*C*GGCGAGTAGTTGCGCG	SEQ
	TOP_tag	GTTATGGTACCATAACCGCGCAGTAGT	ID
		ACGCG*G*T	NO:
			35
	CTL151_	/5Phos/A*C*CGCGTACTACTGCGCG	SEQ
	BOT_tag	GTTATGGTACCATAACCGCGCAACTAC	ID
		TCGCC*G*A	NO:
			36
	CTL002_	/5Phos/A*C*TAGCGATCGGTACCTA	SEQ
	TOP_tag	GCGCCGAAACCTATTACCGCGACCTAG	ID
		CGTTG*C*G	NO:
			37
	CTL002_	/5Phos/C*G*CAACGCTAGGTCGCGG	SEQ
	BOT_tag	TAATAGGTTTCGGCGCTAGGTACCGAT	ID
		CGCTA*G*T	NO:
			38
	CTL134_	/5Phos/T*A*GCGCGTCAAGAGCGCG	SEQ
	TOP_tag	GTTATGGTTTCGGCGCTAGGTTAACAG	ID
		CGCGT*C*G	NO:
			39
	CTL134_	/5Phos/C*G*ACGCGCTGTTAACCTA	SEQ
	BOT_tag	GCGCCGAAACCATAACCGCGCTCTTGA	ID
		CGCGC*T*A	NO:
			40
	GuideSeq_	/5Phos/G*T*TTAATTGAGTTGTCAT	SEQ
	TOP_tag	ATGTTAATAACGGT*A*T	ID
			NO:
			41
	GuideSeq_	/5Phos/A*T*ACCGTTATTAACATAT	SEQ
	BOT_tag	GACAACTCAATTAA*A*C	ID
			NO:
			42
	EMX1	GAGTCCGAGCAGAAGAAGAA	SEQ
	protospacer		ID
			NO:
			43
	AR	GTTGGAGCATCTGAGTCCAG	SEQ
	protospacer		ID
			NO:
			44
	“/5Phos/” indicates a 5′-phosphate moiety; “*” indicates a phosphorothioate linkage.

Example 2

This experiment demonstrates the increased efficiency in tag integration when using double-stranded DNA tags with a length of 52-base pairs and varying genetic sequence. The sequences used are shown in Tables 3-5. Double-stranded tags were generated by hybridization of a top strand and a complementary bottom strand (SEQ ID NO: 9-40 or 45-268). Sixteen different tag designs were introduced separately into HEK293 cells constitutively expressing Cas9 together with a guideRNA which targets the AR locus. Alternatively, either pools of 16 tags or one pool of 112 tags were introduced into HEK293 cells constitutively expressing Cas9 together with a guideRNA which targets the AR locus. GuideRNAs were electroporated at a concentration of 10 μM, whereas the single Tag or pooled Tags were delivered at a final concentration of 0.5 μM. Tag integration levels were determined by targeted amplification using rhAmpSeq primers (SEQ ID NO: 3-4), enriching for known on- and off-target sites of the AR guideRNA. The rhAmpSeq pool for AR consists of 53 sites which represent empirically determined ON and OFF target loci. Amplified products were sequenced on an Illumina® MiSeq, and tag integration levels were determined using custom software. This example shows that tag integration efficiency varies among single tag constructs individually with a range between 35 (CTL085, CTL134) and 41 sites (CTL002) out of a maximum of 53 sites, and is therefore sequence dependent (Single Tags, Table 5, FIG. 8).

By taking the mathematical union of the single tag results, a hypothetical number of 47 sites was calculated (CTLmax, FIG. 8). The hypothesis that combining a pool of tags would increase the likelihood of tag integration was tested and was demonstrated (Pooled Tags, Table 5, FIG. 8). Pool B4 (see Table 5) demonstrated that 44 tag integration events were detected out of a maximum of 53 sites, which is higher than achieved with any of the single tags. Again, variability between pools was shown (Pooled Tags, Table 5, FIG. 8), indicating optimization of tag designs can potentially maximize tag integration.

TABLE 4
Tag Sequences
Name	Sequence (5′→3′)	SEQ ID NO
CTL085_TOP_tag	/5Phos/A*C*GAGCGGTAGTCACCTAGTCGTCGTACCAATTCGA	SEQ ID NO: 45
	CGCACACTACTCGC*G*C
CTL169_TOP_tag	/5Phos/T*A*GCGCGAGTAGTCGGACGAGCGGTTACCAATACGC	SEQ ID NO: 46
	CGCACCTTAATCCG*C*G
CTL137_TOP_tag	/5Phos/T*C*GCGACAGTAGTCGTTCGGCTAGGTACCTATTACC	SEQ ID NO: 47
	GCGTAGTTAGCGGC*G*T
CTL042_TOP_tag	/5Phos/C*G*CGCTACTAGGTGCGTCGAATTGGTACCGATCCGC	SEQ ID NO: 48
	AATACACTACTCGC*G*C
CTL051_TOP_tag	/5Phos/G*G*TAACGAGCGGTGCGTCGAATTGGTAACCGCTCGT	SEQ ID NO: 49
	CCGACCTTAATCGC*G*C
CTL167_TOP_tag	/5Phos/T*T*CGGCGCTAGGTGCGGCGTATTGGTAACCGCTCGT	SEQ ID NO: 50
	CCGTTCGGCGCTAG*G*T
CTL026_TOP_tag	/5Phos/T*A*CGCGACTAGGTGCGCGATTAAGGTACCTATTACC	SEQ ID NO: 51
	GCGCGACTATGTGC*G*C
CTL068_TOP_tag	/5Phos/G*T*CGCGCAGTGTAGCGCGATTAAGGTACCTATTACC	SEQ ID NO: 52
	GCGTCGCGACAGTA*G*T
CTL138_TOP_tag	/5Phos/A*A*CCGTCGATCCGCGCGTAGTATGGTACCGATCCGC	SEQ ID NO: 53
	AATACTAGCGCGAC*A*A
CTL079_TOP_tag	/5Phos/T*C*GCTCGATTGGTTACGCGCACTACTTATGCGCTCG	SEQ ID NO: 54
	ACTCGTTCGGCTAG*G*T
CTL063_TOP_tag	/5Phos/A*C*TGCGAGCGTACTTGTCGCGCTAGTACCAATTCGA	SEQ ID NO: 55
	CGCAACCGCTCGTC*C*G
CTL168_TOP_tag	/5Phos/C*G*CATTAGTCGGTGCGGCGTATTGGTAACCGCTCGT	SEQ ID NO: 56
	CCGACGCGCTACCT*A*T
CTL021_TOP_tag	/5Phos/A*T*TGCGGATCGGTGCGTCGAATTGGTAACCGCTCGT	SEQ ID NO: 57
	CCGTACGCGCACTA*C*T
CTL151_TOP_tag	/5Phos/T*C*GGCGAGTAGTTGCGCGGTTATGGTACCATAACCG	SEQ ID NO: 58
	CGCAGTAGTACGCG*G*T
CTL002_TOP_tag	/5Phos/A*C*TAGCGATCGGTACCTAGCGCCGAAACCTATTACC	SEQ ID NO: 59
	GCGACCTAGCGTTG*C*G
CTL134_TOP_tag	/5Phos/T*A*GCGCGTCAAGAGCGCGGTTATGGTTTCGGCGCTA	SEQ ID NO: 60
	GGTTAACAGCGCGT*C*G
CTL085_BOT_tag	/5Phos/G*C*GCGAGTAGTGTGCGTCGAATTGGTACGACGACTA	SEQ ID NO: 61
	GGTGACTACCGCTC*G*T
CTL169_BOT_tag	/5Phos/C*G*CGGATTAAGGTGCGGCGTATTGGTAACCGCTCGT	SEQ ID NO: 62
	CCGACTACTCGCGC*T*A
CTL137_BOT_tag	/5Phos/A*C*GCCGCTAACTACGCGGTAATAGGTACCTAGCCGA	SEQ ID NO: 63
	ACGACTACTGTCGC*G*A
CTL042_BOT_tag	/5Phos/G*C*GCGAGTAGTGTATTGCGGATCGGTACCAATTCGA	SEQ ID NO: 64
	CGCACCTAGTAGCG*C*G
CTL051_BOT_tag	/5Phos/G*C*GCGATTAAGGTCGGACGAGCGGTTACCAATTCGA	SEQ ID NO: 65
	CGCACCGCTCGTTA*C*C
CTL167_BOT_tag	/5Phos/A*C*CTAGCGCCGAACGGACGAGCGGTTACCAATACGC	SEQ ID NO: 66
	CGCACCTAGCGCCG*A*A
CTL026_BOT_tag	/5Phos/G*C*GCACATAGTCGCGCGGTAATAGGTACCTTAATCG	SEQ ID NO: 67
	CGCACCTAGTCGCG*T*A
CTL068_BOT_tag	/5Phos/A*C*TACTGTCGCGACGCGGTAATAGGTACCTTAATCG	SEQ ID NO: 68
	CGCTACACTGCGCG*A*C
CTL138_BOT_tag	/5Phos/T*T*GTCGCGCTAGTATTGCGGATCGGTACCATACTAC	SEQ ID NO: 69
	GCGCGGATCGACGG*T*T
CTL079_BOT_tag	/5Phos/A*C*CTAGCCGAACGAGTCGAGCGCATAAGTAGTGCGC	SEQ ID NO: 70
	GTAACCAATCGAGC*G*A
CTL063_BOT_tag	/5Phos/C*G*GACGAGCGGTTGCGTCGAATTGGTACTAGCGCGA	SEQ ID NO: 71
	CAAGTACGCTCGCA*G*T
CTL168_BOT_tag	/5Phos/A*T*AGGTAGCGCGTCGGACGAGCGGTTACCAATACGC	SEQ ID NO: 72
	CGCACCGACTAATG*C*G
CTL021_BOT_tag	/5Phos/A*G*TAGTGCGCGTACGGACGAGCGGTTACCAATTCGA	SEQ ID NO: 73
	CGCACCGATCCGCA*A*T
CTL151_BOT_tag	/5Phos/A*C*CGCGTACTACTGCGCGGTTATGGTACCATAACCG	SEQ ID NO: 74
	CGCAACTACTCGCC*G*A
CTL002_BOT_tag	/5Phos/C*G*CAACGCTAGGTCGCGGTAATAGGTTTCGGCGCTA	SEQ ID NO: 75
	GGTACCGATCGCTA*G*T
CTL134_BOT_tag	/5Phos/C*G*ACGCGCTGTTAACCTAGCGCCGAAACCATAACCG	SEQ ID NO: 76
	CGCTCTTGACGCGC*T*A
CTL161_TOP_tag	/5Phos/T*A*CACTGCGCGACACTGCGAGCGTACACCTTAATCG	SEQ ID NO: 77
	CGCTAGTTAGCGGC*G*T
CTL164_TOP_tag	/5Phos/A*A*CCGTCGAGTGCACCGCGTACTACTAATGTCGAAC	SEQ ID NO: 78
	CGCTACGCGCACTA*C*T
CTL030_TOP_tag	/5Phos/C*G*CGGACTAAGGTGCGCGAGTAGTGTTACGCGCACT	SEQ ID NO: 79
	ACTAATCTAGCCGC*G*A
CTL088_TOP_tag	/5Phos/A*C*TAGTGCGACGAACTACTCGCGCTAACCAATTCGA	SEQ ID NO: 80
	CGCACCGATCGCTA*G*T
CTL148_TOP_tag	/5Phos/A*A*TGTCGAACCGCGCGCGAGTAGTGTACCATAACCG	SEQ ID NO: 81
	CGCACCTTAGTCCG*C*G
CTL152_TOP_tag	/5Phos/G*C*GTCGAATTGGTACCGCCGACTTATACCAATACGC	SEQ ID NO: 82
	CGCATAGGTAGCGC*G*T
CTL007_TOP_tag	/5Phos/A*C*CTAGTAGCGCGGCGTCGAATTGGTACTAGCGCGA	SEQ ID NO: 83
	CAACGCGTAGTATG*G*T
CTL141_TOP_tag	/5Phos/A*C*CGCTCGTTACCGCGCGATTAAGGTACGCCGCTAA	SEQ ID NO: 84
	CTACGGTACGGTCG*G*T
CTL064_TOP_tag	/5Phos/A*C*CGCCGACTTATCGTTCGGCTAGGTACCAATTCGA	SEQ ID NO: 85
	CGCACTGCGAGCGT*A*C
CTL158_TOP_tag	/5Phos/A*C*CTTAATCCGCGACTGCGAGCGTACACCTATTACC	SEQ ID NO: 86
	GCGCGACGCGCTGT*T*A
CTL066_TOP_tag	/5Phos/A*C*GACGACTAGGTACCGCTCGTTACCTCTTGACGCG	SEQ ID NO: 87
	CTAACCAATTCGAC*G*C
CTL144_TOP_tag	/5Phos/A*C*CATACTACGCGGCGGTTCGACATTACCATAACCG	SEQ ID NO: 88
	CGCTAGTGCGAGCG*T*A
CTL107_TOP_tag	/5Phos/C*T*TGTACGGCGGTGCGGCGTATTGGTACCAATACGC	SEQ ID NO: 89
	CGCTCGTCGCACTA*G*T
CTL149_TOP_tag	/5Phos/G*T*ACGCTCGCAGTACCGCCGACTTATACCTTAATCG	SEQ ID NO: 90
	CGCACTAGCGCGAC*A*A
CTL008_TOP_tag	/5Phos/A*C*GACGACTAGGTTATGGTACGGCGTTAGCGCGAGT	SEQ ID NO: 91
	AGTACCTTAGTCCG*C*G
CTL099_TOP_tag	/5Phos/A*C*GAGCGGTAGTCATAGGTAGCGCGTTCTTGACGCG	SEQ ID NO: 92
	CTAACCGATCGCTA*G*T
CTL089_TOP_tag	/5Phos/A*C*CGATCCGCAATGCGTCGAATTGGTACCATAACCG	SEQ ID NO: 93
	CGCACCGCCGTACA*A*G
CTL081_TOP_tag	/5Phos/A*C*TAGTGCGACGAACTACTGTCGCGAACCTATTACC	SEQ ID NO: 94
	GCGACCAATCGAGC*G*A
CTL075_TOP_tag	/5Phos/A*C*CGCCGTACAAGTCGCGACAGTAGTAACCGCTCGT	SEQ ID NO: 95
	CCGTTCGGCGCTAG*G*T
CTL160_TOP_tag	/5Phos/T*C*GTCGCACTAGTCGCATTAGTCGGTAGTAGTACGC	SEQ ID NO: 96
	GGTATAGGTAGCGC*G*T
CTL133_TOP_tag	/5Phos/A*C*CAATTCGACGCTAGTTAGCGGCGTACACTACTCG	SEQ ID NO: 97
	CGCGCACTCGACGG*T*T
CTL076_TOP_tag	/5Phos/C*G*CGGTAATAGGTCGCGGTAATAGGTACGAGCGGTA	SEQ ID NO: 98
	GTCACACTACTCGC*G*C
CTL024_TOP_tag	/5Phos/T*C*GGCGAGTAGTTTAGTGCGAGCGTAAGTAGTGCGC	SEQ ID NO: 99
	GTAACCAATCGAGC*G*A
CTL045_TOP_tag	/5Phos/G*T*CGCGCAGTGTAGCGCGGTTATGGTACCATAACCG	SEQ ID NO: 100
	CGCACTAGTGCGAC*G*A
CTL009_TOP_tag	/5Phos/T*A*TGCGCTCGACTGCGCGATTAAGGTAATGTCGAAC	SEQ ID NO: 101
	CGCAGTAGTACGCG*G*T
CTL055_TOP_tag	/5Phos/A*C*TAGCGCGACAACGACTATGTGCGCACCAATTCGA	SEQ ID NO: 102
	CGCTACGCGCACTA*C*T
CTL101_TOP_tag	/5Phos/A*A*CTACTCGCCGACTTGTACGGCGGTACCAATTCGA	SEQ ID NO: 103
	CGCAACTAATCCGC*G*C
CTL135_TOP_tag	/5Phos/C*G*CGGATTAAGGTCTTGTACGGCGGTACCTAGCCGA	SEQ ID NO: 104
	ACGTACGCGCACTA*C*T
CTL155_TOP_tag	/5Phos/T*A*GCGCGTCAAGACTTGTACGGCGGTACCGATCCGC	SEQ ID NO: 105
	AATGCACTCGACGG*T*T
CTL122_TOP_tag	/5Phos/C*G*CATTAGTCGGTGCGGCGTATTGGTACGACGACTA	SEQ ID NO: 106
	GGTACCAATACGCC*G*C
CTL080_TOP_tag	/5Phos/A*C*CTAGTAGCGCGGCGCGGTTATGGTACCGACTAAT	SEQ ID NO: 107
	GCGACTAGCGATCG*G*T
CTL126_TOP_tag	/5Phos/A*C*TACTCGCGCTAACCTAGTCGTCGTAATCTAGCCG	SEQ ID NO: 108
	CGATACGCTCGCAC*T*A
CTL098_TOP_tag	/5Phos/A*C*CGCCGCTATACGCGCGATTAAGGTGTACGCTCGC	SEQ ID NO: 109
	AGTCGCGGACTAAG*G*T
CTL038_TOP_tag	/5Phos/T*A*CGCGCACTACTAACCGTCGAGTGCGTACGCTCGC	SEQ ID NO: 110
	AGTACCGATCGCTA*G*T
CTL139_TOP_tag	/5Phos/G*T*CGCGCAGTGTATAACAGCGCGTCGTTAGTGCGCG	SEQ ID NO: 111
	AGAACGACGACTAG*G*T
CTL010_TOP_tag	/5Phos/G*C*GTCGAATTGGTCGCGTAGTATGGTACCGCCGCTA	SEQ ID NO: 112
	TACACCAATACGCC*G*C
CTL034_TOP_tag	/5Phos/T*A*CGCGCACTACTTACGCGACTAGGTACCGATCGCT	SEQ ID NO: 113
	AGTCGACGCGCTGT*T*A
CTL117_TOP_tag	/5Phos/A*C*GCCGCTAACTATAGTTAGCGGCGTACCAATTCGA	SEQ ID NO: 114
	CGCAACTAATCCGC*G*C
CTL035_TOP_tag	/5Phos/C*G*CGGACTAAGGTTAGTTAGCGGCGTTACGCGCACT	SEQ ID NO: 115
	ACTACCGATCCGCA*A*T
CTL121_TOP_tag	/5Phos/A*C*GACGACTAGGTACCGCCGACTTATACGCCGCTAA	SEQ ID NO: 116
	CTAATAGGTAGCGC*G*T
CTL106_TOP_tag	/5Phos/C*G*GATCGACGGTTGCGCGAGTAGTGTAGTAGTACGC	SEQ ID NO: 117
	GGTTACACTGCGCG*A*C
CTL059_TOP_tag	/5Phos/A*T*TGCGGATCGGTACCGCCGACTTATACCGATCCGC	SEQ ID NO: 118
	AATTCGCTCGATTG*G*T
CTL157_TOP_tag	/5Phos/A*C*TGCGAGCGTACACTGCGAGCGTACACCTTAATCG	SEQ ID NO: 119
	CGCACCGCTCGTTA*C*C
CTL015_TOP_tag	/5Phos/A*C*TACTGTCGCGATCGTCGCACTAGTTACGCTCGCA	SEQ ID NO: 120
	CTAATTGCGGATCG*G*T
CTL110_TOP_tag	/5Phos/G*G*TAACGAGCGGTTCTCGCGCACTAATTAGTGCGCG	SEQ ID NO: 121
	AGAACCATACTACG*C*G
CTL123_TOP_tag	/5Phos/A*C*TACTCGCGCTAGCGCGATTAAGGTACCTTAATCG	SEQ ID NO: 122
	CGCAACTACTCGCC*G*A
CTL014_TOP_tag	/5Phos/T*A*CGCGCACTACTCTTGTACGGCGGTACCAATTCGA	SEQ ID NO: 123
	CGCAACCGTCGAGT*G*C
CTL131_TOP_tag	/5Phos/A*A*CCGTCGATCCGATTGCGGATCGGTACCTTAATCG	SEQ ID NO: 124
	CGCACTAGTGCGAC*G*A
CTL062_TOP_tag	/5Phos/A*G*TAGTGCGCGTATACACTGCGCGACACACTACTCG	SEQ ID NO: 125
	CGCACCTTAATCCG*C*G
CTL044_TOP_tag	/5Phos/A*C*GCCGTACCATACGCGGTAATAGGTAGTAGTGCGC	SEQ ID NO: 126
	GTATTCGGCGCTAG*G*T
CTL043_TOP_tag	/5Phos/T*A*GCGCGTCAAGAACCTAGCGTTGCGATAAGTCGGC	SEQ ID NO: 127
	GGTAGTAGTACGCG*G*T
CTL118_TOP_tag	/5Phos/C*G*CATTAGTCGGTAATCTAGCCGCGAACCATAACCG	SEQ ID NO: 128
	CGCACCGATCGCTA*G*T
CTL128_TOP_tag	/5Phos/T*A*TGGTACGGCGTGCGGCGTATTGGTACGCCGCTAA	SEQ ID NO: 129
	CTAATAAGTCGGCG*G*T
CTL067_TOP_tag	/5Phos/G*C*GCGGTTATGGTGCGGCGTATTGGTACGAGCGGTA	SEQ ID NO: 130
	GTCAACCGCTCGTC*C*G
CTL020_TOP_tag	/5Phos/C*G*ACTATGTGCGCAACTACTCGCCGAACCATAACCG	SEQ ID NO: 131
	CGCTATGCGCTCGA*C*T
CTL006_TOP_tag	/5Phos/T*A*GTTAGCGGCGTACCGCTCGTTACCACCTTAATCG	SEQ ID NO: 132
	CGCACCATACTACG*C*G
CTL017_TOP_tag	/5Phos/C*G*CATTAGTCGGTAGTAGTGCGCGTAAACCGCTCGT	SEQ ID NO: 133
	CCGTTAGTGCGCGA*G*A
CTL057_TOP_tag	/5Phos/T*A*GCGCGAGTAGTACCGACTAATGCGTCTCGCGCAC	SEQ ID NO: 134
	TAAGACTACCGCTC*G*T
CTL078_TOP_tag	/5Phos/T*A*CGCTCGCACTATCGCTCGATTGGTACCGCCGCTA	SEQ ID NO: 135
	TACACCATAACCGC*G*C
CTL031_TOP_tag	/5Phos/A*C*CAATCGAGCGAAGTCGAGCGCATAACGCGCTACC	SEQ ID NO: 136
	TATACGCCGCTAAC*T*A
CTL136_TOP_tag	/5Phos/A*C*CTTAATCCGCGACTGCGAGCGTACACCGACTAAT	SEQ ID NO: 137
	GCGACTACTGTCGC*G*A
CTL165_TOP_tag	/5Phos/A*G*TAGTGCGCGTATCGCTCGATTGGTTCTTGACGCG	SEQ ID NO: 138
	CTAGTATAGCGGCG*G*T
CTL039_TOP_tag	/5Phos/T*C*GTCGCACTAGTCGGTACGGTCGGTGCGCACATAG	SEQ ID NO: 139
	TCGTATGGTACGGC*G*T
CTL036_TOP_tag	/5Phos/C*G*CGGATTAAGGTAGTCGAGCGCATAACCGCGTACT	SEQ ID NO: 140
	ACTACGACGACTAG*G*T
CTL048_TOP_tag	/5Phos/C*G*ACTATGTGCGCTACGCTCGCACTAACACTACTCG	SEQ ID NO: 141
	CGCACCTAGCGCCG*A*A
CTL053_TOP_tag	/5Phos/A*C*CGCCGACTTATTCTCGCGCACTAATCGTCGCACT	SEQ ID NO: 142
	AGTAACCGTCGATC*C*G
CTL072_TOP_tag	/5Phos/A*C*CTAGCGTTGCGACCGACTAATGCGGGTAACGAGC	SEQ ID NO: 143
	GGTTATGGTACGGC*G*T
CTL096_TOP_tag	/5Phos/C*G*CGCTACTAGGTCGCGGTAATAGGTACCTAGCGTT	SEQ ID NO: 144
	GCGACCTAGTCGCG*T*A
CTL150_TOP_tag	/5Phos/C*G*TTCGGCTAGGTACTACTCGCGCTACGCATTAGTC	SEQ ID NO: 145
	GGTTCGCGACAGTA*G*T
CTL084_TOP_tag	/5Phos/C*G*GACGAGCGGTTCGCGGTAATAGGTACGACGACTA	SEQ ID NO: 146
	GGTTAGTTAGCGGC*G*T
CTL142_TOP_tag	/5Phos/T*A*CGCTCGCACTAATTGCGGATCGGTACCGACTAAT	SEQ ID NO: 147
	GCGACCGCGTACTA*C*T
CTL102_TOP_tag	/5Phos/A*C*CGACCGTACCGTATGGTACGGCGTTCTTGACGCG	SEQ ID NO: 148
	CTAACCTAGCGCCG*A*A
CTL154_TOP_tag	/5Phos/G*C*GCGGATTAGTTAACCGTCGAGTGCACACTACTCG	SEQ ID NO: 149
	CGCACTGCGAGCGT*A*C
CTL112_TOP_tag	/5Phos/A*C*CTTAATCCGCGACCGACTAATGCGTACGCGCACT	SEQ ID NO: 150
	ACTATAAGTCGGCG*G*T
CTL145_TOP_tag	/5Phos/A*C*CTTAATCCGCGGCGCGGTTATGGTACCGACTAAT	SEQ ID NO: 151
	GCGAACCGCTCGTC*C*G
CTL060_TOP_tag	/5Phos/A*C*TGCGAGCGTACCTTGTACGGCGGTACCTAGTAGC	SEQ ID NO: 152
	GCGATAAGTCGGCG*G*T
CTL016_TOP_tag	/5Phos/T*T*CGGCGCTAGGTACCTTAGTCCGCGTTCGGCGCTA	SEQ ID NO: 153
	GGTACCTAGCGTTG*C*G
CTL159_TOP_tag	/5Phos/A*C*CTAGTCGCGTACTTGTACGGCGGTACCTAGCCGA	SEQ ID NO: 154
	ACGAACCGTCGAGT*G*C
CTL056_TOP_tag	/5Phos/A*C*CATAACCGCGCTACACTGCGCGACACCAATACGC	SEQ ID NO: 155
	CGCTATGGTACGGC*G*T
CTL162_TOP_tag	/5Phos/A*C*ACTACTCGCGCTACGCGACTAGGTAATGTCGAAC	SEQ ID NO: 156
	CGCACGCCGCTAAC*T*A
CTL018_TOP_tag	/5Phos/A*C*CGACTAATGCGTAACAGCGCGTCGTTAGTGCGCG	SEQ ID NO: 157
	AGAACCTTAATCGC*G*C
CTL115_TOP_tag	/5Phos/A*C*GCCGTACCATAACCGACTAATGCGATAAGTCGGC	SEQ ID NO: 158
	GGTACCAATACGCC*G*C
CTL033_TOP_tag	/5Phos/G*T*ACGCTCGCAGTCGCGGTAATAGGTTCGGCGAGTA	SEQ ID NO: 159
	GTTACCATAACCGC*G*C
CTL047_TOP_tag	/5Phos/C*G*GACGAGCGGTTGCGCGGTTATGGTACTAGTGCGA	SEQ ID NO: 160
	CGAGCGCACATAGT*C*G
CTL108_TOP_tag	/5Phos/A*C*TACTCGCGCTAGCGCGATTAAGGTACGCCGCTAA	SEQ ID NO: 161
	CTATCGCGGCTAGA*T*T
CTL041_TOP_tag	/5Phos/A*C*CAATTCGACGCAACTAATCCGCGCACCAATTCGA	SEQ ID NO: 162
	CGCAGTAGTGCGCG*T*A
CTL061_TOP_tag	/5Phos/A*C*CGCCGCTATACACCTAGCGCCGAAGTACGCTCGC	SEQ ID NO: 163
	AGTGTATAGCGGCG*G*T
CTL166_TOP_tag	/5Phos/A*C*ACTACTCGCGCCGGACGAGCGGTTACCAATACGC	SEQ ID NO: 164
	CGCTAGCGCGAGTA*G*T
CTL012_TOP_tag	/5Phos/T*C*GTCGCACTAGTACCTTAATCCGCGCGCAACGCTA	SEQ ID NO: 165
	GGTACACTACTCGC*G*C
CTL052_TOP_tag	/5Phos/C*G*CGCTACTAGGTACCGACTAATGCGCGCAACGCTA	SEQ ID NO: 166
	GGTAATGTCGAACC*G*C
CTL153_TOP_tag	/5Phos/A*C*GAGCGGTAGTCACTACTGTCGCGACGCAACGCTA	SEQ ID NO: 167
	GGTTACACTGCGCG*A*C
CTL094_TOP_tag	/5Phos/A*C*CTAGTCGCGTACGCGTAGTATGGTACCGATCGCT	SEQ ID NO: 168
	AGTGGTAACGAGCG*G*T
CTL095_TOP_tag	/5Phos/G*C*GGTTCGACATTACCGACTAATGCGTATGCGCTCG	SEQ ID NO: 169
	ACTACCTAGCGTTG*C*G
CTL105_TOP_tag	/5Phos/A*C*TGCGAGCGTACTCTCGCGCACTAAACGCCGCTAA	SEQ ID NO: 170
	CTACGCGCTACTAG*G*T
CTL109_TOP_tag	/5Phos/C*G*GTACGGTCGGTAATCTAGCCGCGAACCTTAGTCC	SEQ ID NO: 171
	GCGACCGCCGTACA*A*G
CTL032_TOP_tag	/5Phos/T*C*GGCGAGTAGTTACGCGCTACCTATTCGCGGCTAG	SEQ ID NO: 172
	ATTACGCCGCTAAC*T*A
CTL161_BOT_tag	/5Phos/A*C*GCCGCTAACTAGCGCGATTAAGGTGTACGCTCGC	SEQ ID NO: 173
	AGTGTCGCGCAGTG*T*A
CTL164_BOT_tag	/5Phos/A*G*TAGTGCGCGTAGCGGTTCGACATTAGTAGTACGC	SEQ ID NO: 174
	GGTGCACTCGACGG*T*T
CTL030_BOT_tag	/5Phos/T*C*GCGGCTAGATTAGTAGTGCGCGTAACACTACTCG	SEQ ID NO: 175
	CGCACCTTAGTCCG*C*G
CTL088_BOT_tag	/5Phos/A*C*TAGCGATCGGTGCGTCGAATTGGTTAGCGCGAGT	SEQ ID NO: 176
	AGTTCGTCGCACTA*G*T
CTL148_BOT_tag	/5Phos/C*G*CGGACTAAGGTGCGCGGTTATGGTACACTACTCG	SEQ ID NO: 177
	CGCGCGGTTCGACA*T*T
CTL152_BOT_tag	/5Phos/A*C*GCGCTACCTATGCGGCGTATTGGTATAAGTCGGC	SEQ ID NO: 178
	GGTACCAATTCGAC*G*C
CTL007_BOT_tag	/5Phos/A*C*CATACTACGCGTTGTCGCGCTAGTACCAATTCGA	SEQ ID NO: 179
	CGCCGCGCTACTAG*G*T
CTL141_BOT_tag	/5Phos/A*C*CGACCGTACCGTAGTTAGCGGCGTACCTTAATCG	SEQ ID NO: 180
	CGCGGTAACGAGCG*G*T
CTL064_BOT_tag	/5Phos/G*T*ACGCTCGCAGTGCGTCGAATTGGTACCTAGCCGA	SEQ ID NO: 181
	ACGATAAGTCGGCG*G*T
CTL158_BOT_tag	/5Phos/T*A*ACAGCGCGTCGCGCGGTAATAGGTGTACGCTCGC	SEQ ID NO: 182
	AGTCGCGGATTAAG*G*T
CTL066_BOT_tag	/5Phos/G*C*GTCGAATTGGTTAGCGCGTCAAGAGGTAACGAGC	SEQ ID NO: 183
	GGTACCTAGTCGTC*G*T
CTL144_BOT_tag	/5Phos/T*A*CGCTCGCACTAGCGCGGTTATGGTAATGTCGAAC	SEQ ID NO: 184
	CGCCGCGTAGTATG*G*T
CTL107_BOT_tag	/5Phos/A*C*TAGTGCGACGAGCGGCGTATTGGTACCAATACGC	SEQ ID NO: 185
	CGCACCGCCGTACA*A*G
CTL149_BOT_tag	/5Phos/T*T*GTCGCGCTAGTGCGCGATTAAGGTATAAGTCGGC	SEQ ID NO: 186
	GGTACTGCGAGCGT*A*C
CTL008_BOT_tag	/5Phos/C*G*CGGACTAAGGTACTACTCGCGCTAACGCCGTACC	SEQ ID NO: 187
	ATAACCTAGTCGTC*G*T
CTL099_BOT_tag	/5Phos/A*C*TAGCGATCGGTTAGCGCGTCAAGAACGCGCTACC	SEQ ID NO: 188
	TATGACTACCGCTC*G*T
CTL089_BOT_tag	/5Phos/C*T*TGTACGGCGGTGCGCGGTTATGGTACCAATTCGA	SEQ ID NO: 189
	CGCATTGCGGATCG*G*T
CTL081_BOT_tag	/5Phos/T*C*GCTCGATTGGTCGCGGTAATAGGTTCGCGACAGT	SEQ ID NO: 190
	AGTTCGTCGCACTA*G*T
CTL075_BOT_tag	/5Phos/A*C*CTAGCGCCGAACGGACGAGCGGTTACTACTGTCG	SEQ ID NO: 191
	CGACTTGTACGGCG*G*T
CTL160_BOT_tag	/5Phos/A*C*GCGCTACCTATACCGCGTACTACTACCGACTAAT	SEQ ID NO: 192
	GCGACTAGTGCGAC*G*A
CTL133_BOT_tag	/5Phos/A*A*CCGTCGAGTGCGCGCGAGTAGTGTACGCCGCTAA	SEQ ID NO: 193
	CTAGCGTCGAATTG*G*T
CTL076_BOT_tag	/5Phos/G*C*GCGAGTAGTGTGACTACCGCTCGTACCTATTACC	SEQ ID NO: 194
	GCGACCTATTACCG*C*G
CTL024_BOT_tag	/5Phos/T*C*GCTCGATTGGTTACGCGCACTACTTACGCTCGCA	SEQ ID NO: 195
	CTAAACTACTCGCC*G*A
CTL045_BOT_tag	/5Phos/T*C*GTCGCACTAGTGCGCGGTTATGGTACCATAACCG	SEQ ID NO: 196
	CGCTACACTGCGCG*A*C
CTL009_BOT_tag	/5Phos/A*C*CGCGTACTACTGCGGTTCGACATTACCTTAATCG	SEQ ID NO: 197
	CGCAGTCGAGCGCA*T*A
CTL055_BOT_tag	/5Phos/A*G*TAGTGCGCGTAGCGTCGAATTGGTGCGCACATAG	SEQ ID NO: 198
	TCGTTGTCGCGCTA*G*T
CTL101_BOT_tag	/5Phos/G*C*GCGGATTAGTTGCGTCGAATTGGTACCGCCGTAC	SEQ ID NO: 199
	AAGTCGGCGAGTAG*T*T
CTL135_BOT_tag	/5Phos/A*G*TAGTGCGCGTACGTTCGGCTAGGTACCGCCGTAC	SEQ ID NO: 200
	AAGACCTTAATCCG*C*G
CTL155_BOT_tag	/5Phos/A*A*CCGTCGAGTGCATTGCGGATCGGTACCGCCGTAC	SEQ ID NO: 201
	AAGTCTTGACGCGC*T*A
CTL122_BOT_tag	/5Phos/G*C*GGCGTATTGGTACCTAGTCGTCGTACCAATACGC	SEQ ID NO: 202
	CGCACCGACTAATG*C*G
CTL080_BOT_tag	/5Phos/A*C*CGATCGCTAGTCGCATTAGTCGGTACCATAACCG	SEQ ID NO: 203
	CGCCGCGCTACTAG*G*T
CTL126_BOT_tag	/5Phos/T*A*GTGCGAGCGTATCGCGGCTAGATTACGACGACTA	SEQ ID NO: 204
	GGTTAGCGCGAGTA*G*T
CTL098_BOT_tag	/5Phos/A*C*CTTAGTCCGCGACTGCGAGCGTACACCTTAATCG	SEQ ID NO: 205
	CGCGTATAGCGGCG*G*T
CTL038_BOT_tag	/5Phos/A*C*TAGCGATCGGTACTGCGAGCGTACGCACTCGACG	SEQ ID NO: 206
	GTTAGTAGTGCGCG*T*A
CTL139_BOT_tag	/5Phos/A*C*CTAGTCGTCGTTCTCGCGCACTAACGACGCGCTG	SEQ ID NO: 207
	TTATACACTGCGCG*A*C
CTL010_BOT_tag	/5Phos/G*C*GGCGTATTGGTGTATAGCGGCGGTACCATACTAC	SEQ ID NO: 208
	GCGACCAATTCGAC*G*C
CTL034_BOT_tag	/5Phos/T*A*ACAGCGCGTCGACTAGCGATCGGTACCTAGTCGC	SEQ ID NO: 209
	GTAAGTAGTGCGCG*T*A
CTL117_BOT_tag	/5Phos/G*C*GCGGATTAGTTGCGTCGAATTGGTACGCCGCTAA	SEQ ID NO: 210
	CTATAGTTAGCGGC*G*T
CTL035_BOT_tag	/5Phos/A*T*TGCGGATCGGTAGTAGTGCGCGTAACGCCGCTAA	SEQ ID NO: 211
	CTAACCTTAGTCCG*C*G
CTL121_BOT_tag	/5Phos/A*C*GCGCTACCTATTAGTTAGCGGCGTATAAGTCGGC	SEQ ID NO: 212
	GGTACCTAGTCGTC*G*T
CTL106_BOT_tag	/5Phos/G*T*CGCGCAGTGTAACCGCGTACTACTACACTACTCG	SEQ ID NO: 213
	CGCAACCGTCGATC*C*G
CTL059_BOT_tag	/5Phos/A*C*CAATCGAGCGAATTGCGGATCGGTATAAGTCGGC	SEQ ID NO: 214
	GGTACCGATCCGCA*A*T
CTL157_BOT_tag	/5Phos/G*G*TAACGAGCGGTGCGCGATTAAGGTGTACGCTCGC	SEQ ID NO: 215
	AGTGTACGCTCGCA*G*T
CTL015_BOT_tag	/5Phos/A*C*CGATCCGCAATTAGTGCGAGCGTAACTAGTGCGA	SEQ ID NO: 216
	CGATCGCGACAGTA*G*T
CTL110_BOT_tag	/5Phos/C*G*CGTAGTATGGTTCTCGCGCACTAATTAGTGCGCG	SEQ ID NO: 217
	AGAACCGCTCGTTA*C*C
CTL123_BOT_tag	/5Phos/T*C*GGCGAGTAGTTGCGCGATTAAGGTACCTTAATCG	SEQ ID NO: 218
	CGCTAGCGCGAGTA*G*T
CTL014_BOT_tag	/5Phos/G*C*ACTCGACGGTTGCGTCGAATTGGTACCGCCGTAC	SEQ ID NO: 219
	AAGAGTAGTGCGCG*T*A
CTL131_BOT_tag	/5Phos/T*C*GTCGCACTAGTGCGCGATTAAGGTACCGATCCGC	SEQ ID NO: 220
	AATCGGATCGACGG*T*T
CTL062_BOT_tag	/5Phos/C*G*CGGATTAAGGTGCGCGAGTAGTGTGTCGCGCAGT	SEQ ID NO: 221
	GTATACGCGCACTA*C*T
CTL044_BOT_tag	/5Phos/A*C*CTAGCGCCGAATACGCGCACTACTACCTATTACC	SEQ ID NO: 222
	GCGTATGGTACGGC*G*T
CTL043_BOT_tag	/5Phos/A*C*CGCGTACTACTACCGCCGACTTATCGCAACGCTA	SEQ ID NO: 223
	GGTTCTTGACGCGC*T*A
CTL118_BOT_tag	/5Phos/A*C*TAGCGATCGGTGCGCGGTTATGGTTCGCGGCTAG	SEQ ID NO: 224
	ATTACCGACTAATG*C*G
CTL128_BOT_tag	/5Phos/A*C*CGCCGACTTATTAGTTAGCGGCGTACCAATACGC	SEQ ID NO: 225
	CGCACGCCGTACCA*T*A
CTL067_BOT_tag	/5Phos/C*G*GACGAGCGGTTGACTACCGCTCGTACCAATACGC	SEQ ID NO: 226
	CGCACCATAACCGC*G*C
CTL020_BOT_tag	/5Phos/A*G*TCGAGCGCATAGCGCGGTTATGGTTCGGCGAGTA	SEQ ID NO: 227
	GTTGCGCACATAGT*C*G
CTL006_BOT_tag	/5Phos/C*G*CGTAGTATGGTGCGCGATTAAGGTGGTAACGAGC	SEQ ID NO: 228
	GGTACGCCGCTAAC*T*A
CTL017_BOT_tag	/5Phos/T*C*TCGCGCACTAACGGACGAGCGGTTTACGCGCACT	SEQ ID NO: 229
	ACTACCGACTAATG*C*G
CTL057_BOT_tag	/5Phos/A*C*GAGCGGTAGTCTTAGTGCGCGAGACGCATTAGTC	SEQ ID NO: 230
	GGTACTACTCGCGC*T*A
CTL078_BOT_tag	/5Phos/G*C*GCGGTTATGGTGTATAGCGGCGGTACCAATCGAG	SEQ ID NO: 231
	CGATAGTGCGAGCG*T*A
CTL031_BOT_tag	/5Phos/T*A*GTTAGCGGCGTATAGGTAGCGCGTTATGCGCTCG	SEQ ID NO: 232
	ACTTCGCTCGATTG*G*T
CTL136_BOT_tag	/5Phos/T*C*GCGACAGTAGTCGCATTAGTCGGTGTACGCTCGC	SEQ ID NO: 233
	AGTCGCGGATTAAG*G*T
CTL165_BOT_tag	/5Phos/A*C*CGCCGCTATACTAGCGCGTCAAGAACCAATCGAG	SEQ ID NO: 234
	CGATACGCGCACTA*C*T
CTL039_BOT_tag	/5Phos/A*C*GCCGTACCATACGACTATGTGCGCACCGACCGTA	SEQ ID NO: 235
	CCGACTAGTGCGAC*G*A
CTL036_BOT_tag	/5Phos/A*C*CTAGTCGTCGTAGTAGTACGCGGTTATGCGCTCG	SEQ ID NO: 236
	ACTACCTTAATCCG*C*G
CTL048_BOT_tag	/5Phos/T*T*CGGCGCTAGGTGCGCGAGTAGTGTTAGTGCGAGC	SEQ ID NO: 237
	GTAGCGCACATAGT*C*G
CTL053_BOT_tag	/5Phos/C*G*GATCGACGGTTACTAGTGCGACGATTAGTGCGCG	SEQ ID NO: 238
	AGAATAAGTCGGCG*G*T
CTL072_BOT_tag	/5Phos/A*C*GCCGTACCATAACCGCTCGTTACCCGCATTAGTC	SEQ ID NO: 239
	GGTCGCAACGCTAG*G*T
CTL096_BOT_tag	/5Phos/T*A*CGCGACTAGGTCGCAACGCTAGGTACCTATTACC	SEQ ID NO: 240
	GCGACCTAGTAGCG*C*G
CTL150_BOT_tag	/5Phos/A*C*TACTGTCGCGAACCGACTAATGCGTAGCGCGAGT	SEQ ID NO: 241
	AGTACCTAGCCGAA*C*G
CTL084_BOT_tag	/5Phos/A*C*GCCGCTAACTAACCTAGTCGTCGTACCTATTACC	SEQ ID NO: 242
	GCGAACCGCTCGTC*C*G
CTL142_BOT_tag	/5Phos/A*G*TAGTACGCGGTCGCATTAGTCGGTACCGATCCGC	SEQ ID NO: 243
	AATTAGTGCGAGCG*T*A
CTL102_BOT_tag	/5Phos/T*T*CGGCGCTAGGTTAGCGCGTCAAGAACGCCGTACC	SEQ ID NO: 244
	ATACGGTACGGTCG*G*T
CTL154_BOT_tag	/5Phos/G*T*ACGCTCGCAGTGCGCGAGTAGTGTGCACTCGACG	SEQ ID NO: 245
	GTTAACTAATCCGC*G*C
CTL112_BOT_tag	/5Phos/A*C*CGCCGACTTATAGTAGTGCGCGTACGCATTAGTC	SEQ ID NO: 246
	GGTCGCGGATTAAG*G*T
CTL145_BOT_tag	/5Phos/C*G*GACGAGCGGTTCGCATTAGTCGGTACCATAACCG	SEQ ID NO: 247
	CGCCGCGGATTAAG*G*T
CTL060_BOT_tag	/5Phos/A*C*CGCCGACTTATCGCGCTACTAGGTACCGCCGTAC	SEQ ID NO: 248
	AAGGTACGCTCGCA*G*T
CTL016_BOT_tag	/5Phos/C*G*CAACGCTAGGTACCTAGCGCCGAACGCGGACTAA	SEQ ID NO: 249
	GGTACCTAGCGCCG*A*A
CTL159_BOT_tag	/5Phos/G*C*ACTCGACGGTTCGTTCGGCTAGGTACCGCCGTAC	SEQ ID NO: 250
	AAGTACGCGACTAG*G*T
CTL056_BOT_tag	/5Phos/A*C*GCCGTACCATAGCGGCGTATTGGTGTCGCGCAGT	SEQ ID NO: 251
	GTAGCGCGGTTATG*G*T
CTL162_BOT_tag	/5Phos/T*A*GTTAGCGGCGTGCGGTTCGACATTACCTAGTCGC	SEQ ID NO: 252
	GTAGCGCGAGTAGT*G*T
CTL018_BOT_tag	/5Phos/G*C*GCGATTAAGGTTCTCGCGCACTAACGACGCGCTG	SEQ ID NO: 253
	TTACGCATTAGTCG*G*T
CTL115_BOT_tag	/5Phos/G*C*GGCGTATTGGTACCGCCGACTTATCGCATTAGTC	SEQ ID NO: 254
	GGTTATGGTACGGC*G*T
CTL033_BOT_tag	/5Phos/G*C*GCGGTTATGGTAACTACTCGCCGAACCTATTACC	SEQ ID NO: 255
	GCGACTGCGAGCGT*A*C
CTL047_BOT_tag	/5Phos/C*G*ACTATGTGCGCTCGTCGCACTAGTACCATAACCG	SEQ ID NO: 256
	CGCAACCGCTCGTC*C*G
CTL108_BOT_tag	/5Phos/A*A*TCTAGCCGCGATAGTTAGCGGCGTACCTTAATCG	SEQ ID NO: 257
	CGCTAGCGCGAGTA*G*T
CTL041_BOT_tag	/5Phos/T*A*CGCGCACTACTGCGTCGAATTGGTGCGCGGATTA	SEQ ID NO: 258
	GTTGCGTCGAATTG*G*T
CTL061_BOT_tag	/5Phos/A*C*CGCCGCTATACACTGCGAGCGTACTTCGGCGCTA	SEQ ID NO: 259
	GGTGTATAGCGGCG*G*T
CTL166_BOT_tag	/5Phos/A*C*TACTCGCGCTAGCGGCGTATTGGTAACCGCTCGT	SEQ ID NO: 260
	CCGGCGCGAGTAGT*G*T
CTL012_BOT_tag	/5Phos/G*C*GCGAGTAGTGTACCTAGCGTTGCGCGCGGATTAA	SEQ ID NO: 261
	GGTACTAGTGCGAC*G*A
CTL052_BOT_tag	/5Phos/G*C*GGTTCGACATTACCTAGCGTTGCGCGCATTAGTC	SEQ ID NO: 262
	GGTACCTAGTAGCG*C*G
CTL153_BOT_tag	/5Phos/G*T*CGCGCAGTGTAACCTAGCGTTGCGTCGCGACAGT	SEQ ID NO: 263
	AGTGACTACCGCTC*G*T
CTL094_BOT_tag	/5Phos/A*C*CGCTCGTTACCACTAGCGATCGGTACCATACTAC	SEQ ID NO: 264
	GCGTACGCGACTAG*G*T
CTL095_BOT_tag	/5Phos/C*G*CAACGCTAGGTAGTCGAGCGCATACGCATTAGTC	SEQ ID NO: 265
	GGTAATGTCGAACC*G*C
CTL105_BOT_tag	/5Phos/A*C*CTAGTAGCGCGTAGTTAGCGGCGTTTAGTGCGCG	SEQ ID NO: 266
	AGAGTACGCT CGCA*G*T
CTL109_BOT_tag	/5Phos/C*T*TGTACGGCGGTCGCGGACTAAGGTTCGCGGCTAG	SEQ ID NO: 267
	ATTACCGACCGTAC*C*G
CTL032_BOT_tag	/5Phos/T*A*GTTAGCGGCGTAATCTAGCCGCGAATAGGTAGCG	SEQ ID NO: 268
	CGTAACTACTCGCC*G*A
“/5Phos/” indicates a 5′-phosphate moiety; “*” indicates a phosphorothioate linkage.

TABLE 5
Pools of Tag Sequences
Pools
Tags	Pool A1	Pool B1	Pool B2	Pool B3	Pool B4	Pool B5	Pool B6	Pool C1
Present in	CTL085	CTL161	CTL089	CTL098	CTL062	CTL048	CTL018	Pool A1
Pools	CTL169	CTL164	CTL081	CTL038	CTL044	CTL053	CTL115	Pool B1
	CTL137	CTL030	CTL075	CTL139	CTL043	CTL072	CTL033	Pool B2
	CTL042	CTL088	CTL160	CTL010	CTL118	CTL096	CTL047	Pool B3
	CTL051	CTL148	CTL133	CTL034	CTL128	CTL150	CTL108	Pool B4
	CTL167	CTL152	CTL076	CTL117	CTL067	CTL084	CTL041	Pool B5
	CTL026	CTL007	CTL024	CTL035	CTL020	CTL142	CTL061	Pool B6
	CTL068	CTL141	CTL045	CTL121	CTL006	CTL102	CTL166
	CTL138	CTL064	CTL009	CTL106	CTL017	CTL154	CTL012
	CTL079	CTL158	CTL055	CTL059	CTL057	0TL112	CTL052
	CTL063	CTL066	CTL101	CTL157	CTL078	0TL145	CTL153
	CTL168	CTL144	CTL135	CTL015	CTL031	CTL060	CTL094
	CTL021	CTL107	CTL155	CTL110	CTL136	CTL016	CTL095
	CTL151	CTL149	CTL122	CTL123	CTL165	CTL159	CTL105
	CTL002	CTL008	CTL080	CTL014	CTL039	CTL056	CTL109
	CTL134	CTL099	CTL126	CTL131	CTL036	CTL162	CTL032

TABLE 6
Non-homologous tails
Name	Sequence (5′→3′)	SEQ ID NO:
H1	ACGCGACTATACGCGCAATATGGT	SEQ ID NO: 269
H2	CTAGCGATACTACGCGATACGAGAT	SEQ ID NO: 270
H3	CATAGCGGTATTACGCGAGATTACGA	SEQ ID NO: 271
H4	CGCGAGTACGTACGATTACCG	SEQ ID NO: 272
H5	ACGCGCGACTATACGCGCCTC	SEQ ID NO: 273

Claims

1. A method for identifying and nominating on- and off-target CRISPR edited sites with improved accuracy and sensitivity, the process comprising the steps of: (a) co-delivering a guide sequence RNA (sgRNA) or a two-part CRISPR RNA:trans-activating crRNA (crRNA:tracrRNA) duplex, one or more tag sequences, and an RNA-guided endonuclease to cells;(b) incubating the cells for a period of time sufficient for double strand breaks to occur;(c) isolating genomic DNA from the cells, fragmenting the genomic DNA, and ligating the fragmented genomic DNA to a unique molecular index containing a universal adapter sequence;(d) amplifying the ligated DNA fragments using primers targeting the tag and universal adapter sequences to produce a first set of amplified sequences;(e) amplifying the first set of amplified sequences using universal sequencing primers targeting the tails of Tag-pTOP or Tag-pBOT primers to produce a second set of amplified sequences;(f) sequencing the pooled sequences and obtaining sequencing data; and(g) identifying on-/off-target CRISPR editing loci.

2. The method of claim 1, wherein the universal sequencing primers target SP1 or SP2 sequence (SEQ ID NO: 7, 8) tails on the Tag-pTOP or Tag-pBOT primers to produce a second set of amplified sequences.

3. The method of claim 1, wherein the universal sequencing primers target predesigned non-homologous sequence (SEQ ID NO: 269-273) tails on the Tag-pTOP or Tag-pBot primers to produce a second set of amplified sequences.

4. The method of claim 1, wherein the universal sequencing primers target predesigned 13-mer tails on the Tag-pTOP or Tag-pBot primers to produce a second set of amplified sequences.

5. The method of claim 1, wherein step (g) comprises executing on a processor: aligning the sequence data to a reference genome;(ii) identifying on-/off-target CRISPR editing loci; and(iii) outputting the alignment, analysis, and results data as custom-formatted files, tables or graphics.

6. The method of claim 1, further comprising a step following step (e) comprising: (e1) normalizing the second set of amplified sequences to produce concentration normalized libraries, pooling the normalized libraries with other samples to produce pooled libraries; and continuing with steps (f)-(i).

7. The method of claim 1, wherein step (d) uses a supression PCR method.

8. The method of claim 1, wherein the RNA-guided endonuclease comprises an endogenously-expressed Cas enzyme, a Cas expression vector, a Cas protein, or a Cas RNP complex.

9. The method of claim 1, wherein the RNA-guided endonuclease comprises an endogenously-expressed Cas9 enzyme, a Cas9 expression vector, a Cas9 protein, or a Cas9 RNP complex.

10. The method of claim 1, wherein the cells comprise human or mouse cells.

11. The method of claim 1, wherein the period of time is about 24 hours to about 96 hours.

12. The method of claim 1, wherein multiple tag sequences are co-delivered.

13. The method of claim 1, wherein the tag sequences comprise double-stranded deoxyribooligonucleotides (dsDNA) comprising 52-base pairs.

14. The method of claim 1, wherein the tag sequences comprise a 5′-terminal phosphate, and phosphorothioate linkages between the 1st and 2nd, 2nd and 3rd, 50th and 51st, and 51st and 52nd nucleotides.

15. The method of claim 1, wherein the tag sequences comprise a double stranded DNA comprising the complementary top and bottom strand pairs of SEQ ID NO: 1-2 or 7-268.

16. On- and off-target CRISPR editing sites identified or nominated using the method of claim 1.

17. A method for designing 52-base pair tag sequences, the method comprising, executing on a processor: (a) randomly generating 13-nucleotide sequences with 40-90% GC content, max homopolymer length A:2, C:3, G:2, T:2, weighted homopolymer rate <20, self-folding Tm<50° C., and self-dimer Tm<50° C.;(b) removing sequences that perfectly align to a particular genome or that are homopolymers or GG or CC dinucleotide motifs and obtaining a set of 13-mers;(c) selecting a subset of the 13-mer sequences that contain one or less CC or GG dinucleotide motifs;(d) concatenating four of the of 13-mer subset sequences to form random 52-mer sequences;(e) aligning the random 52-mer sequences to a genome;(f) removing the random 52-mer sequences that have similarity to the genome to produce a subset of 52-mer sequences; and(h) outputting the subset of 52-mer sequences and generating the complementary strands to produce double stranded 52-base pair tag sequences.

18. The method of claim 17, wherein the genome is human or mouse.

19. The method of claim 17, wherein the 52-base pair tag sequences are-non complementary to the genome.

20. The method of claim 17, further comprising designing primers for the 52-base pair tag sequences.

21. The method of claim 17, wherein the 52-base pair tag sequences comprise a 5′-terminal phosphate, and phosphorothioate linkages between the 1st and 2nd, 2nd and 3rd, 50th and 51st, and 51st and 52nd nucleotides of the 52-base pair tag sequences.

22. The method of claim 17, further comprising synthesizing oligonucleotides comprising the 52-base pair tag sequences, the complement of the 52-base pair tag sequences, or primers for the 52-base pair tag sequences.

23. One or more 52-base pair tag sequences designed using the methods of claim 17.

24. The 52-base pair tag sequences of claim 23, wherein the 52-base pair tag sequence comprises a double stranded DNA comprising the top and bottom strand pairs of SEQ ID NO: 1-2 or 7-268.

25. A method for designing primers partially complementary to the 52-base pair tag sequences of claim 23 and an adapter primer, the method comprising, executing on a processor: (a) designing tag primers that are partially complementary to the top and bottom strands of tag sequences; and(b) designing an adapter primer that is partially complementary to the top strand of the adapter sequence;wherein:the tag primers comprise a 5′-universal tail sequence; andthe adapter primer comprises a sequence complementary to the tails of Tag-pTOP or Tag-pBOT primers.

26. The method of claim 25, wherein the 5′-universal tail sequence is complementary to an SP1 or SP2 sequence (SEQ ID NO: 7, 8), a locus specific segment, a ribonucleotide (rN) 6-nucleotides from the 3′-end, a 3′-end mismatch, a 3′-end block (3′-C3 spacer), a predesigned non-homologous sequence (SEQ ID NO: 269-273), or a predesigned 13-mer sequence.

27. The method of claim 25, wherein the primers partially complementary to top and bottom strands of the tag sequences comprise a tail sequence complementary to the SP1 sequence (SEQ ID NO: 7) and the adapter primer comprises a sequence complementary to the SP2 sequence (SEQ ID NO: 8) tail on the Tag-pTOP or Tag-pBOT primers; or the primers partially complementary to top and bottom strands of the tag sequences comprise a tail sequence complementary to the SP2 sequence (SEQ ID NO: 8) and the adapter primer comprises a sequence complementary to the SP1 sequence (SEQ ID NO: 7) tail on the Tag-pTOP or Tag-pBOT primers.

28. The method of claim 25, wherein the amplification of a nucleic acid molecule with the primers that are complementary to the top and bottom strands of tag sequences and primers that are complementary to the top strand of the adapter sequence produces a PCR product that comprises a portion of the tag sequence, a sgDNA sequence, and the adapter sequence.

29. The method of claim 25, further comprising synthesizing oligonucleotides comprising the sequences of the forward and reverse tag primers and the adapter primer.

30. The method of claim 25, wherein the 52-base pair tag sequences and primers partially complementary to the 52-base pair tag sequences are designed and selected using an algorithm predicting whether the primers are likely to be partially complementary and have a propensity to form primer-dimers.

31. One or more primers partially complementary to the 52-base pair tag sequences and one or more adapter primers designed using the method of claim 25.

32. The primers of claim 31, wherein the primers comprise the sequences of SEQ ID NO: 3, 4; and the adapter primer, wherein the adapter primer comprises the sequence of SEQ ID NO: 5.

33. A method for using of one or more double-stranded 52-base pair tag sequences to identify on- and off-target CRISPR editing sites.