TOOLS AND METHODS FOR USING CELL DIVISION LOCI TO CONTROL PROLIFERATION OF CELLS

Abstract
The present disclosure provides molecular tools, methods and kits for using cell division loci (CDLs) to control cell proliferation in animal cells. CDLs, as provided herein, are loci whose transcription product(s) are expressed during cell division. CDLs may be genetically modified, as described herein, to comprise a negative selectable marker and/or an inducible activator-based gene expression system, which allows a user to permit, ablate, and/or inhibit proliferation of the genetically modified cell(s) by adding or removing an appropriate inducer.
Description
SEQUENCE LISTING

The instant application contains a Sequence Listing which has been submitted electronically in ASCII format and is hereby incorporated by reference in its entirety. The ASCII copy, created on May 19, 2022, is named 51276-002004_Sequence_Listing_5_19_22_ST25 and is 409,964 bytes in size.


FIELD OF THE DISCLOSURE

The present description relates generally to the fields of cell and molecular biology. More particularly, the description relates to molecular tools, methods and kits for controlling division of animal cells and genetically modified cells related to same.


BACKGROUND OF THE DISCLOSURE

Human pluripotent stem (hPS) cells, may be used as tools for understanding normal cellular development, disease development and for use in cellular therapeutics for treating currently incurable disorders, such as, for example, genetic disorders, degenerative diseases and/or various injuries. The pluripotent nature of these cells renders them able to differentiate into any cell type after a period of self-renewal in the stem cell state (Rossant and Nagy, 1999). The gold standard of hPS cells are the human embryonic stem (hES) cells reported in 1998 (Thomson et al., 1998). In 2006 and 2007 a method for reprogramming differentiated somatic cells, such as skin fibroblasts, into ES cell-like “induced pluripotent stem” (iPS) cells was reported and expanded the types of pluripotent cells (Takahashi and Yamanaka, 2006; Takahashi et al., 2007). The methods of generation of iPS cells and their applications toward many directions including cell-based therapies for treating diseases and aberrant physiological conditions have been developed further in the years since.


One concern regarding pluripotent cell-based therapies is safety. For example, malignant growth originating from a cell graft is of concern. The process of reprogramming differentiated cells into iPS cells is also relevant to safety, as it has been reported that reprogramming methods can cause genome damage and aberrant epigenetic changes (Hussein et al., 2011; Laurent et al., 2011; Lister et al., 2011), which may pose a risk for malignant transformation of iPS cell-derived cells.


One challenge with cell-based therapies involving pluripotent cells expanded in vitro is the pluripotent nature of the cells themselves. For example, if pluripotent cells remain among differentiated therapeutic cells, the pluripotent cells may develop into teratomas (Yoshida and Yamanaka, 2010). Attempts to increase the safety of pluripotent cell-derived products and therapies have included efforts to eliminate pluripotent cells from cell cultures after in vitro differentiation. For example: cytotoxic antibodies have been used to eliminate cells having pluripotent-specific antigens (Choo et al., 2008; Tan et al., 2009); cells have been sorted based on pluripotency cell surface markers (Ben-David et al., 2013a; Fong et al., 2009; Tang et al., 2011); tumour progression genes have been genetically altered in cells (Blum et al., 2009; Menendez et al., 2012); transgenes for assisting with separation of differentiated cells have been introduced into cells (Chung et al., 2006; Eiges et al., 2001; Huber et al., 2007); suicide genes have been introduced into cells and used to eliminate residual pluripotent stem cells after differentiation (Rong et al., 2012; Schuldiner et al., 2003); and undesired pluripotent cells have been ablated using chemicals (Ben-David et al., 2013b; Dabir et al., 2013; Tohyama et al., 2013). It is possible that even if residual pluripotent cells are eliminated from differentiated cultures, the differentiated derivatives of pluripotent cells may have oncogenic properties (Ghosh et al., 2011). Related oncogenic events could occur in therapeutic cells i) during in vitro preparation of cells; or ii) following grafting of cells into a host.


Most current strategies for eliminating or preventing unwanted cell growth and/or differentiation are based on the herpes simplex virus—thymidine kinase (HSV-TK)/ganciclovir (GCV) negatively selectable system, which may be used to eliminate a graft entirely, if malignancy develops (Schuldiner et al., 2003) or to eliminate only the pluripotent cells ‘contaminating’ the intended differentiated derivatives (Ben-David and Benvenisty, 2014; Lim et al., 2013). The mechanism of GCV-induced cell killing and apoptosis is well understood. It creates a replication-dependent formation of DNA double-strand breaks (Halloran and Fenton, 1998), which leads to apoptosis (Tomicic et al., 2002). However, many HSV-TK/GCV-based systems are unreliably expressed, at least because they rely on random integration or transient expression of HSV-TK. Strategies involving negative selectable markers with different killing mechanisms, such as, for example, Caspase 9 (Di Stasi et al., 2011) have been tested, but reliable expression of the negative selectable marker has not been shown. Cell-based therapies may require millions or billions of cells, which may amplify any issues caused by unwanted cell growth and/or differentiation.


It is an object of the present disclosure to mitigate and/or obviate one or more of the above deficiencies.


SUMMARY OF THE DISCLOSURE

In an aspect, a method of controlling proliferation of an animal cell is provided. The method comprises: providing an animal cell; genetically modifying in the animal cell a cell division locus (CDL), the CDL being one or more loci whose transcription product(s) is expressed by dividing cells; the genetic modification of the CDL comprising one or more of: a) an ablation link (ALINK) system, the ALINK system comprising a DNA sequence encoding a negative selectable marker that is transcriptionally linked to a DNA sequence encoding the CDL; and b) an inducible exogenous activator of regulation of a CDL (EARC) system, the EARC system comprising an inducible activator-based gene expression system that is operably linked to the CDL; controlling proliferation of the genetically modified animal cell comprising the ALINK system with an inducer of the negative selectable marker; and/or controlling proliferation of the genetically modified animal cell comprising the EARC system with an inducer of the inducible activator-based gene expression system.


In an embodiment of the method of controlling proliferation of an animal cell provided herein, the controlling of the ALINK-modified animal cell comprises one or more of: permitting proliferation of the genetically modified animal cell comprising the ALINK system by maintaining the genetically modified animal cell comprising the ALINK system in the absence of an inducer of the negative selectable marker; and ablating or inhibiting proliferation of the genetically modified animal cell comprising the ALINK system by exposing the animal cell comprising the ALINK system to the inducer of the negative selectable marker.


In an embodiment of the method of controlling proliferation of an animal cell provided herein, the controlling of the EARC-modified animal cell comprises one or more of: permitting proliferation of the genetically modified animal cell comprising the EARC system by exposing the genetically modified animal cell comprising the EARC system to an inducer of the inducible activator-based gene expression system; and preventing or inhibiting proliferation of the genetically modified animal cell comprising the EARC system by maintaining the animal cell comprising the EARC system in the absence of the inducer of the inducible activator-based gene expression system.


In various embodiments of the method of controlling proliferation of an animal cell provided herein, the genetic modification of the CDL comprises preforming targeted replacement of the CDL with one or more of: a) a DNA vector comprising the ALINK system; b) a DNA vector comprising the EARC system; and c) a DNA vector comprising the ALINK system and the EARC system.


In various embodiments of the method of controlling proliferation of an animal cell provided herein, the ALINK genetic modification of the CDL is homozygous, heterozygous, hemizygous or compound heterozygous and/or wherein the EARC genetic modification ensures that functional CDL modification can only be generated through EARC-modified alleles.


In various embodiments of the method of controlling proliferation of an animal cell provided herein, the CDL is one or more loci recited in Table 2. In various embodiments, the CDL encodes a gene product whose function is involved with one or more of: cell cycle, DNA replication, RNA transcription, protein translation, and metabolism. In various embodiments the CDL is one or more of Cdk1/CDK1, Top2A/TOP2A, Cenpa/CENPA, Birc5/BIRC5, and Eef2/EEF2, preferably the CDL is Cdk1 or CDK1.


In various embodiments of the method of controlling proliferation of an animal cell provided herein, the ALINK system comprises a herpes simplex virus-thymidine kinase/ganciclovir system, a cytosine deaminase/5-fluorocytosine system, a carboxyl esterase/irinotecan system or an iCasp9/AP1903 system, preferably the ALINK system is a herpes simplex virus-thymidine kinase/ganciclovir system.


In various embodiments of the method of controlling proliferation of an animal cell provided herein, the EARC system is a dox-bridge system, a cumate switch inducible system, an ecdysone inducible system, a radio wave inducible system, or a ligand-reversible dimerization system, preferably the EARC system is a dox-bridge system.


In various embodiments of the method of controlling proliferation of an animal cell provided herein, the animal cell is a mammalian cell or an avian cell. In various embodiment, the mammalian cell is a human, mouse, rat, hamster, guinea pig, cat, dog, cow, horse, deer, elk, bison, oxen, camel, llama, rabbit, pig, goat, sheep, or non-human primate cell, preferably the mammalian cell is a human cell.


In various embodiments of the method of controlling proliferation of an animal cell provided herein, the animal cell is a pluripotent stem cell a multipotent cell, a monopotent progenitor cell, or a terminally differentiated cell.


In various embodiments of the method of controlling proliferation of an animal cell provided herein, the animal cell is derived from a pluripotent stem cell, a multipotent cell, a monopotent progenitor cell, or a terminally differentiated cell.


In an aspect, an animal cell genetically modified to comprise at least one mechanism for controlling cell proliferation is provided. The genetically modified animal cell comprises: a genetic modification of one or more cell division locus (CDL), the CDL being one or more loci whose transcription product(s) is expressed by dividing cells. The genetic modification being one or more of: a) an ablation link (ALINK) system, the ALINK system comprising a DNA sequence encoding a negative selectable marker that is transcriptionally linked to a DNA sequence encoding the CDL; and b) an exogenous activator of regulation of a CEDL (EARC) system, the EARC system comprising an inducible activator-based gene expression system that is operably linked to the CDL.


In an embodiment of the animal cell genetically modified to comprise at least one mechanism for controlling cell proliferation provided herein, the genetic modification of the CDL comprises preforming targeted replacement of the CDL with one or more of: a) a DNA vector comprising the ALINK system; b) a DNA vector comprising the EARC system; and c) a DNA vector comprising the ALINK system and the EARC system.


In various embodiments of the animal cell genetically modified to comprise at least one mechanism for controlling cell proliferation provided herein, the ALINK genetic modification of the CDL is homozygous, heterozygous, hemizygous or compound heterozygous and/or wherein the EARC genetic modification ensures that functional CDL modification can only be generated through EARC-modified alleles.


In various embodiments of the animal cell genetically modified to comprise at least one mechanism for controlling cell proliferation provided herein, the CDL is one or more loci recited in Table 2. In various embodiments, the CDL encodes a gene product whose function is involved with one or more of: cell cycle, DNA replication, RNA transcription, protein translation, and metabolism. In various embodiments, the CDL is one or more of Cdk1/CDK1, Top2A/TOP2A, Cenpa/CENPA, Birc5/BIRC5, and Eef2/EEF2, preferably the CDL is Cdk1 or CDK1.


In various embodiments of the animal cell genetically modified to comprise at least one mechanism for controlling cell proliferation provided herein, the ALINK system comprises a herpes simplex virus-thymidine kinase/ganciclovir system, a cytosine deaminase/5-fluorocytosine system, a carboxyl esterase/irinotecan system or an iCasp9/AP1903 system, preferably the ALINK system is a herpes simplex virus-thymidine kinase/ganciclovir system.


In various embodiments of the animal cell genetically modified to comprise at least one mechanism for controlling cell proliferation provided herein, the EARC system is a dox-bridge system, a cumate switch inducible system, an ecdysone inducible system, a radio wave inducible system, or a ligand-reversible dimerization system, preferably the EARC system is a dox-bridge system.


In various embodiments of the animal cell genetically modified to comprise at least one mechanism for controlling cell proliferation provided herein, the animal cell is a mammalian cell or an avian cell. In various embodiments, the mammalian cell is a human, mouse, rat, hamster, guinea pig, cat, dog, cow, horse, deer, elk, bison, oxen, camel, llama, rabbit, pig, goat, sheep, or non-human primate cell, preferably the mammalian cell is a human cell.


In various embodiments of the animal cell genetically modified to comprise at least one mechanism for controlling cell proliferation provided herein, the animal cell is a pluripotent stem cell a multipotent cell, a monopotent progenitor cell, or a terminally differentiated cell.


In various embodiments of the animal cell genetically modified to comprise at least one mechanism for controlling cell proliferation provided herein, the animal cell is derived from a pluripotent stem cell, a multipotent cell, a monopotent progenitor cell, or a terminally differentiated cell.


In an aspect, a DNA vector for modifying expression of a cell division locus (CDL), the CDL being one or more loci whose transcription product(s) is expressed by dividing cells is provided. The DNA vector comprises: an ablation link (ALINK) system, the ALINK system comprising a DNA sequence encoding a negative selectable marker that is transcriptionally linked to the CDL, wherein if the DNA vector is inserted into one or more host cells, proliferating host cells comprising the DNA vector will be killed if the proliferating host cells comprising the DNA vector are exposed to an inducer of the negative selectable marker.


In an aspect, DNA vector for modifying expression of a cell division essential locus (CDL), the CDL being one or more loci whose transcription product(s) is expressed by dividing cells is provided. The DNA vector comprises: an exogenous activator of regulation of a CDL (EARC) system, the EARC system comprising an inducible activator-based gene expression system that is operably linked to the CDL, wherein if the DNA vector is inserted into one or more host cells, proliferating host cells comprising the DNA vector will be killed if the proliferating host cells comprising the DNA vector are not exposed to an inducer of the inducible activator-based gene expression system.


In an aspect, a DNA vector for modifying expression of a cell division essential locus (CDL), the CDL being one or more loci whose transcription product(s) is expressed by dividing cells is provided. The DNA vector comprises: an ablation link (ALINK) system, the ALINK system being a DNA sequence encoding a negative selectable marker that is transcriptionally linked to the CDL; and an exogenous activator of regulation of CDL (EARC) system, the EARC system comprising an inducible activator-based gene expression system that is operably linked to the CDL, wherein if the DNA vector is inserted into one or more host cells, proliferating host cells comprising the DNA vector will be killed if the proliferating host cells comprising the DNA vector are exposed to an inducer of the negative selectable marker and if the proliferating host cells comprising the DNA vector are not exposed to an inducer of the inducible activator-based gene expression system.


In various embodiments of the DNA vectors provided herein, the CDL is one or more loci recited in Table 2. In various embodiments, the CDL encodes a gene product whose function is involved with one or more of: cell cycle, DNA replication, RNA transcription, protein translation, and metabolism. In various embodiments, the CDL is one or more of Cdk1/CDK1, Top2A/TOP2A, Cenpa/CENPA, Birc5/BIRC5, and Eef2/EEF2, preferably the CDL is Cdk1 or CDK1.


In various embodiments of the DNA vectors provided herein, the ALINK system comprises a herpes simplex virus-thymidine kinase/ganciclovir system, a cytosine deaminase/5-fluorocytosine system, a carboxyl esterase/irinotecan system or an iCasp9/AP1903 system, preferably the ALINK system is a herpes simplex virus-thymidine kinase/ganciclovir system.


In various embodiments of the DNA vectors provided herein, the EARC system is a dox-bridge system, a cumate switch inducible system, an ecdysone inducible system, a radio wave inducible system, or a ligand-reversible dimerization system, preferably the EARC system is a dox-bridge system.


In an aspect, a kit for controlling proliferation of an animal cell by genetically modifying one or more cell division essential locus/loci (CDL), the CDL being one or more loci whose transcription product(s) is expressed by dividing cells is provided. The kit comprises: a DNA vector comprising an ablation link (ALINK) system, the ALINK system comprising a DNA sequence encoding a negative selectable marker that is transcriptionally linked to a DNA sequence encoding the CDL; and/or a DNA vector comprising an exogenous activator of regulation of a CDL (EARC) system, the EARC system comprising an inducible activator-based gene expression system that is operably linked to the CDL; and/or a DNA vector comprising an ALINK system and an EARC system, the ALINK and EARC systems each being operably linked to the CDL; and instructions for targeted replacement of the CDL in an animal cell using one or more of the DNA vectors.


In an embodiment of the kit provided herein, the CDL is one or more loci recited in Table 2. In various embodiments, the CDL encodes a gene product whose function is involved with one or more of: cell cycle, DNA replication, RNA transcription, protein translation, and metabolism. In various embodiments, the CDL is one or more of Cdk1/CDK1, Top2A/TOP2A, Cenpa/CENPA, Birc5/BIRC5, and Eef2/EEF2, preferably the CDL is Cdk1 or CDK1.


In various embodiments of the kit provided herein, the ALINK system comprises a herpes simplex virus-thymidine kinase/ganciclovir system, a cytosine deaminase/5-fluorocytosine system, a carboxyl esterase/irinotecan system or an iCasp9/AP1903 system, preferably the ALINK system is a herpes simplex virus-thymidine kinase/ganciclovir system.


In various embodiments of the kit provided herein, the EARC system is a dox-bridge system, a cumate switch inducible system, an ecdysone inducible system, a radio wave inducible system, or a ligand-reversible dimerization system, preferably the EARC system is a dox-bridge system.





DESCRIPTION OF THE DRAWINGS

The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.


These and other features of the disclosure will become more apparent in the following detailed description in which reference is made to the appended drawings wherein:



FIGS. 1A-1G depict schematics illustrating the concept of induced negative effectors of proliferation (iNEPs) and examples of iNEP systems contemplated for use in the methods and tools provided herein. FIG. 1A depicts a schematic representing different examples of iNEP-modified CDLs, including a homozygous modification in CDL1, homozygous insertions in CDL1 and CDL2, CDL comprising two separate loci that together are essential for cell division (CDL3). FIG. 1B depicts schematics representing examples of iNEP comprising an ablation link (ALINK) and an exogenous activator of regulation of a CDL (EARC) in different configurations. FIG. 1C depicts a schematic illustrating transcription activator-like effector (TALE) technology combined with dimerizer-regulated expression induction. FIG. 1D depicts a schematic illustrating a reverse-cumate-Trans-Activator (rcTA) system. FIG. 1E depicts a schematic illustrating a retinoid X receptor (RXR) and an N-terminal truncation of ecdysone receptor (EcR) fused to the activation domain of Vp16 (VpEcR). FIG. 1F depicts a schematic illustrating a transient receptor potential vanilloid-1 (TRPV1), together with ferritin, which is one example of an iNEP system, as set forth herein. FIG. 1G depicts a schematic illustrating how an IRES and a dimerization agent may be used as an iNEP.



FIGS. 2A-2F depict schematics illustrating targeting HSV-TK into the 3′UTR of the Cdk1 locus to generate an ALINK, which enables elimination of dividing modified CDK1-expressing cells. FIG. 2A shows a schematic of the mouse Cdk1 locus. FIG. 2B shows a schematic of mouse target vector I. FIG. 2C shows a schematic of a Cdk1TC allele. FIG. 2D shows a schematic of mouse target vector II. FIG. 2E shows a schematic of a Cdk1TClox allele. FIG. 2F depicts the position of the CRISPR guide RNA (SEQ ID NO: 155); the sequence in the yellow box is the 8th exon of Cdk1 (sense strand: SEQ ID NO: 153; anti-sense strand: SEQ ID NO: 154).



FIGS. 3A-3G depict generation of ALINK example, HSV-TK-mCherry into the 3′UTR of the CDK1 locus to generate ALINK in mouse ES cell lines. FIG. 3A shows the overall steps of generating ALINK in mouse C2 ES cells. FIG. 3B shows southern blotting result of correct genotyping of Cdk1(TK/+), Cdk1(TK, loxP-TK), and Cdk1(TK/TK). FIG. 3C shows the locations of the primers used in ALINK genotyping in mouse cells. FIG. 3D includes PCR results illustrating targeting of Targeting Vector I into the 3′UTR of the CDK1 locus. FIG. 3E shows PCR results illustrating the excision event of selection marker in a mouse ES cell line already correctly targeted with Targeting Vector I to activate the expression of HSV-TK-mCherry. FIG. 3F shows PCR results illustrating targeting of Targeting Vector II into Cdk1(TK/+) cells. FIG. 3G shows PCR results illustrating the excision event of selection marker in Cdk1(TK, loxP-TK) to activate the 2nd allele expression of HSV-TK-mCherry, thus generating Cdk1(TK/TK).



FIGS. 4A-4K depict generation of an ALINK modification, HSV-TK-mCherry into the 3′UTR of the CDK1 locus, in human ES cell lines. FIG. 4A shows the overall steps of generating ALINK in human CA1 ES cells. FIG. 4B shows the locations of the primers used in ALINK genotyping in human CA1 cells. FIG. 4C shows PCR results illustrating targeting of Targeting Vector I into the 3′UTR of the CDK1 locus. FIG. 4D shows flow cytometry illustrating the excision event of selection marker in human Cdk1(PB-TK/+) ES cell line to activate the expression of HSV-TK-mCherry; the Y-axis shows the mCherry expression level, while the X-axis is an autofluorescence channel. FIG. 4E shows PCR results illustrating targeting of Targeting Vector II (puro-version) into Cdk1(TK/+) cells; the upper panel is PCR using primers flanking the 5′homology arm; the lower panel is PCR using primers inside 5′ and 3′ homology arm, so absence of 0.7 kb band and presence of 2.8 kb band means that the clone is homozygous in ALINK, and presence of 0.7 kb band means that the clone is heterozygous in ALINK or the population is not clonal. FIG. 4F shows flow cytometry analysis illustrating the excision event of selection marker in Cdk1(TK, loxP-TK) to activate the 2nd allele expression of HSV-TK-mCherry; the Y-axis shows the mCherry expression level, while the X-axis is an autofluorescence channel. FIG. 4G shows the overall steps of generating ALINK in human H1 ES cells. FIG. 4H shows the locations of the primers used in ALINK genotyping in human H1 cells. FIG. 4I shows PCR results illustrating targeting of Targeting Vector II into the 3′UTR of the CDK1 locus. FIG. 4J shows PCR results illustrating the excision event of selection marker in human H1 Cdk1(loxP-TK/+) to activate the expression of HSV-TK-mCherry; the Y-axis shows the mCherry expression level, while the X-axis is an autofluorescence channel. FIG. 4K shows fluorescence-activated cell sorting (FACS) of targeting of Targeting Vector III (GFP-version) into Cdk1(TK/+) cells. After FACS sorting, clones picked from sparse plating were genotyped with mCherry-allele-specific primers, eGFP-allele-specific primers and primers in 5′ and 3′ homology arms; clones labeled with orange star sign are homozygous ALINK with one allele of mCherry and one allele of eGFP; the one clone labeled with green star sign is homozygous ALINK with two alleles of eGFP.



FIGS. 5A-5C depict teratoma histology (endoderm, mesoderm and ectoderm portions of the teratoma are shown from left to right, respectively). FIG. 5A depicts photomicrographs of a teratoma derived from a mouse ES Cdk1+/+, alink/alink cell. FIG. 5B depicts photomicrographs of a teratoma derived from a mouse ES Cdk1earc/earc, alink/alink cell. FIG. 5C depicts photomicrographs of a teratoma derived from a human ES Cdk1+/+, alink/alink cell.



FIGS. 6A-6B depict in vitro functional analysis of mouse ES cells with an HSV-TK—mCherry knock-in into the 3′UTR of the CDK1 locus. FIG. 6A illustrates killing efficiency provided by the TK.007 gene after cells were exposed to different concentrations of GCV for 3 days. Colony size and number are directly proportional to GCV concentration. The second lowest concentration of 0.01 μM did not affect the colony number but slowed down cell growth as evidenced by the reduced colony size (n=5). FIG. 6B illustrates expression of mCherry before (Cdk1⋅HSV-TKNeoIN) and after (Cdk1⋅HSV-TK) PB-mediated removal of the neo-cassette.



FIGS. 7A-7F depict results of cellular experiments using ALINK-modified cells. FIG. 7A graphically depicts results of GCV treatment of subcutaneous teratomas comprising ALINK-modified mouse C2 cells. FIG. 7B graphically depicts results of GCV treatment of subcutaneous teratomas comprising ALINK-modified H1 ES cells. FIG. 7C graphically depicts results of GCV treatment of mammary gland tumors comprising ALINK-modified cells. FIG. 7D schematically depicts experimental design of neural assay. FIG. 7E is a microscopic image of Neural Epithelial Progenitor (NEP) cells derived from Cdk1+/+, +/alink human CA1 ES cells. FIG. 7F depicts microscopic images illustrating GCV-induced killing of dividing ALINK-modified NEPs and non-killing of non-dividing neurons.



FIG. 8 depicts a graph showing the expected number of cells comprising spontaneous mutations in the HSV-TK gene as a population is expanded from heterozygous (blue line) and homozygous (red line) ALINK cells.



FIGS. 9A-9B depict targeting of a dox-bridge into the 5′UTR of the mouse Cdk1 locus to generate EARC and behavior of the bridge after insertion into Cdk1. FIG. 9A is a schematic illustrating the structure of the mouseCdk1 locus, the target vector, and the position of the primers used for genotyping for homologous recombination events. FIG. 9B depicts PCR results showing the genotyping of the puromycin resistant colonies to identify those that integrated the dox-bridge to the Cdk1 5′UTR.



FIG. 10 depicts a flow chart illustrating that ES cells having a homozygous dox-bridge knock-in survive and divide only in the presence of doxycycline (or drug with doxycycline overlapping function).



FIG. 11 depicts representative photomicrographs illustrating that homozygous dox-bridge knock-in ES cells show doxycycline concentration dependent survival and growth.



FIG. 12 depicts dox-bridge removal with Cre recombinase-mediated excision, which rescues the doxycycline dependent survival of the ES cells.



FIGS. 13A-13B depict the effect of doxycycline withdrawal on the growth of dox-bridged ES cells. FIG. 13A depicts a graph showing that in the presence of doxycycline the cells grew exponentially (red line with circle), indicating their normal growth. Upon doxycycline withdrawal on Day 1, the cells grew only for two days and then they started disappearing from the plates until no cell left on Day 9 on (dark blue line with square). The 20× lower doxycycline concentration (50 ng/ml) after an initial 3 days of growth kept a constant number of cells on the plate for at least five days (FIG. 13A, light blue line with triangle). On Day 10 the normal concentration of doxycycline was added back to the plates and the cells started growing again as normal ES cells. FIG. 13B depicts a bar graph showing the level of Cdk1 mRNA (as measured by quantitative-PCR) after 0, 1 and 2 days of Dox removal. Expression levels are normalized to beta-actin.



FIG. 14 depicts the process of growing dox-bridged ES cells and illustrates that no escaper cells were found among 100,000,000 dox-bridged ES cells when doxycycline was withdrawn from the media, but the sentinel (wild type, GFP positive) cells survived with high efficiency.



FIG. 15 depicts a graph showing the effect of high doxycycline concentration (10 μg/ml) on dox-bridged ES cells: in the presence of high doxycycline, the cells slow down their growth rate similarly to when in low-doxycycline (high dox was 10 μg/ml, normal dox was 1 μg/ml, low dox was 0.05 μg/ml), indicating that there is a window for Dox concentration defining optimal level of CDK1 expression for cell proliferation.



FIGS. 16A-16B depict targeting of dox-bridge into the 5′UTR of the Cdk1 locus of mouse cells comprising ALINK modifications (i.e., Cdk1(TK/TK) cells; the cell product described in FIGS. 3A-3G). FIG. 16A is a schematic illustrating the structure of the Cdk1 locus in Cdk1(TK/TK) cells, the bridge target vector, and the location of genotyping primers. FIG. 16B depicts PCR results showing the genotyping of the puromycin resistant colonies to identify those that integrated the dox-bridge to the Cdk1 5′UTR in mouse Cdk1(TK/TK) cells, thus generating mouse cell product Cdk1earc/earc, alink/alink.



FIGS. 17A-17B depict targeting of dox-bridge into the 5′UTR of the Cdk1 locus of human cells comprising ALINK modifications (i.e., Cdk1(TK/TK) cells; the cell product described in FIGS. 4A-4F). FIG. 17A is a schematic illustrating the structure of the Cdk1 locus in Cdk1(TK/TK) cells, the bridge target vector, and the location of genotyping primers. FIG. 17B depicts PCR results showing the genotyping of the puromycin resistant colonies to identify those that integrated the dox-bridge to the Cdk1 5′UTR in human Cdk1(TK/TK) cells, thus generating human cell product Cdk1earc/earc, alink/alink.



FIGS. 18A-18B depict targeting of a dox-bridge into the 5′UTR of the Top2a locus to generate EARC insertion into Top2a. FIG. 18A is a schematic illustrating the structure of the Top2a locus and the target vector. TOP2a_5scrF, rttaRev, CMVforw and TOP2a_3scrR indicate the position of the primers used for genotyping for homologous recombination events. FIG. 18B depicts PCR results showing the genotyping of the puro resistant colonies to identify those that integrated the dox-bridge to the Top2a 5′UTR. Nine of these cell lines were found to be homozygous targeted comprising a dox-bridge inserted by homologous recombination into the 5′UTR of both alleles of Top2a.



FIGS. 19A-19B depict the effect of doxycycline withdrawal on the growth of Top2a-EARC ES cells. FIG. 19A shows that withdrawal of doxycycline results in complete elimination of mitotically active ES cells within 4 days. FIG. 19B depicts how different concentrations of doxycycline affected proliferation of the dox-bridge ES cells by measuring cell growth for 4 days. ES cells in the presence of doxycycline grew exponentially, indicating their normal growth. In contrast, two days after doxycycline removal, cells growth was completely arrested.



FIGS. 20A-20B depict targeting of a dox-bridge into the 5′UTR of the Cenpa locus to generate EARC insertion into Cenpa. FIG. 20A is a schematic illustrating the structure of the Cenpa locus and the target vector. Cenpa_5scrF, rttaRev, CMVforw and Cenpa_3scrR indicate the position of the primers used for genotyping for homologous recombination events. FIG. 20B depicts PCR results showing the genotyping of the puro resistant colonies to identify those that integrated the dox-bridge to the Cenpa 5′UTR. Six of these cells were found to have a correct insertion at the 5′ and 3′, and at least one clone (Cenpa #4) was found to have homozygous targeting comprising a dox-bridge inserted by homologous recombination into the 5′UTR of both alleles of Cenpa.



FIGS. 21A-21B depict the effect of doxycycline withdrawal on the growth of Cenpa-EARC ES cells. FIG. 21A depicts that withdrawal of doxycycline results in complete elimination of mitotically active ES cells within 4 days. FIG. 21B is the Cenpa gene expression level (determined by q-PCR) in Cenpa-EARC cells with Dox and after 2 days of Dox removal, and compared it to the expression level in wild type mouse ES cells (C2). As expected Cenpa expression level is greatly reduced in Cenpa-EARC cells without Dox for 2 days.



FIG. 22 depicts how different concentrations of doxycycline affected proliferation of the Cenpa-EARC ES cells by measuring cell growth for 4 days. ES cells in the presence of doxycycline grew exponentially, indicating their normal growth. In contrast, 80 hours after doxycycline removal, cells growth was completely arrested.



FIGS. 23A-23B depict targeting of a dox-bridge into the 5′UTR of the Birc5 locus to generate EARC insertion into Birc5. FIG. 23A is a schematic illustrating the structure of the Birc5 locus and the target vector. Birc_5scrF and rttaRev indicate the position of the primers used for genotyping for homologous recombination events. FIG. 23B depicts PCR results showing the genotyping of the puro resistant colonies to identify those that integrated the dox-bridge to the Birc5 5′UTR. Five clones were found to be correctly targeted comprising a dox-bridge inserted by recombination into the 5′UTR of both alleles of Birc5. One of these clones, Birc #3, was found to stop growing or die in the absence of Dox.



FIGS. 24A-24B depict the effect of doxycycline withdrawal on the growth of Birc5-EARC ES cells. FIG. 24A depicts that withdrawal of doxycycline results in complete elimination of mitotically active ES cells within 4 days. FIG. 24B is the Birc5 gene expression level (determined by q-PCR) in Birc5-EARC cells with Dox and after 2 days of Dox removal, and compared it to the expression level in wild type mouse ES cells (C2). As expected Birc5 expression level is greatly reduced in Birc5-EARC cells without Dox for 2 days.



FIG. 25 depicts how different concentrations of doxycycline affected proliferation of the Birc5-EARC ES cells by measuring cell growth for 4 days. ES cells in the presence of doxycycline grew exponentially, indicating their normal growth. In contrast, 50 hours after doxycycline removal, cells growth was completely arrested. Interestingly, it appears that lower Dox concentrations (0.5 and 0.05 μg/ml) promote better cell growth than a higher concentration (1 μg/ml).



FIGS. 26A-26B depict targeting of a dox-bridge into the 5′UTR of the Eef2 locus to generate EARC insertion into Eef2. FIG. 26A is a schematic illustrating the structure of the Eef2 locus and the target vector. Eef2_5scrF and rttaRev indicate the position of the primers used for genotyping for homologous recombination events. FIG. 26B depicts PCR results showing the genotyping of the puro resistant colonies to identify those that integrated the dox-bridge to the Eef2 5′UTR. Nine of these cell lines were found to be correctly targeted with at least one clone growing only in Dox-media.



FIG. 27 depicts the effect of doxycycline withdrawal on the growth of Eef2-EARC ES cells. Withdrawal of doxycycline results in complete elimination of mitotically active ES cells within 4 days.



FIG. 28 depicts how different concentrations of doxycycline affected proliferation of the Eef2-EARC ES cells by measuring cell growth for 4 days. ES cells in the presence of doxycycline grew exponentially, indicating their normal growth. In contrast, without doxycycline cells completely fail to grow.





DETAILED DESCRIPTION OF THE DISCLOSURE

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.


Definitions

The terms “cell division locus”, “cell division loci”, and “CDL” as used herein, refer to a genomic locus (or loci) whose transcription product(s) is expressed by dividing cells. When a CDL comprises a single locus, absence of CDL expression in a cell (or its derivatives) means that tumour initiation and/or formation is prohibited either because the cell(s) will be ablated in the absence of CDL expression or because proliferation of the cell(s) will be blocked or compromised in the absence of CDL expression. When a CDL comprises multiple loci, absence of expression by all or subsets of the loci in a cell (or its derivatives) means that tumour initiation and/or formation is prohibited either because the cell(s) will be ablated in the absence of CDL expression or because proliferation of the cell(s) will be blocked or compromised in the absence of CDL expression. A CDL may or may not be expressed in non-dividing and/or non-proliferating cells. A CDL may be endogenous to a host cell or it may be a transgene. If a CDL is a transgene, it may be from the same or different species as a host cell or it may be of synthetic origin. In an embodiment, a CDL is a single locus that is transcribed during cell division. For example, in an embodiment, a single locus CDL is CDK1. In an embodiment, a CDL comprises two or more loci that are transcribed during cell division. For example, in an embodiment, a multi-locus CDL comprises two MYC genes (c-Myc and N-myc) (Scognamiglio et al., 2016). In an embodiment, a multi-locus CDL comprises AURORA B and C kinases, which may have overlapping functions (Fernandez-Miranda et al., 2011). Cell division and cell proliferation are terms that may be used interchangeably herein.


The terms “normal rate of cell division”, “normal cell division rate”, “normal rate of cell proliferation”, and “normal cell proliferation rate” as used herein, refer to a rate of cell division and/or proliferation that is typical of a non-cancerous healthy cell. A normal rate of cell division and/or proliferation may be specific to cell type. For example, it is widely accepted that the number of cells in the epidermis, intestine, lung, blood, bone marrow, thymus, testis, uterus and mammary gland is maintained by a high rate of cell division and a high rate of cell death. In contrast, the number of cells in the pancreas, kidney, cornea, prostate, bone, heart and brain is maintained by a low rate of cell division and a low rate of cell death (Pellettieri and Sanchez Alvarado, 2007).


The terms “inducible negative effector of proliferation” and “iNEP” as used herein, refer to a genetic modification that facilitates use of CDL expression to control cell division and/or proliferation by: i) inducibly stopping or blocking CDL expression, thereby prohibiting cell division and proliferation; ii) inducibly ablating at least a portion of CDL-expressing cells (i.e., killing at least a portion of proliferating cells); or iii) inducibly slowing the rate of cell division relative to a cell's normal cell division rate, such that the rate of cell division would not be fast enough to contribute to tumor formation.


The terms “ablation link” and “ALINK” as used herein, refer to an example of an iNEP, which comprises a transcriptional link between a CDL and a sequence encoding a negative selectable marker. The ALINK modification allows a user to inducibly kill proliferating host cells comprising the ALINK or inhibit the host cell's proliferation by killing at least a portion of proliferating cells by exposing the ALINK-modified cells to an inducer of the negative selectable marker. For example, a cell modified to comprise an ALINK at a CDL may be treated with an inducer (e.g., a prodrug) of the negative selectable marker in order to ablate proliferating cells or to inhibit cell proliferation by killing at least a portion of proliferating cells (FIG. 1B).


The terms “exogenous activator of regulation of CDL” and “EARC” as used herein, refer to an example of an iNEP, which comprises a mechanism or system that facilitates exogenous alteration of non-coding or coding DNA transcription or corresponding translation via an activator. An EARC modification allows a user to inducibly stop or inhibit division of cells comprising the EARC by removing from the EARC-modified cells an inducer that permits transcription and/or translation of the EARC-modified CDL. For example, an inducible activator-based gene expression system may be operably linked to a CDL and used to exogenously control expression of a CDL or CDL translation, such that the presence of a drug inducible activator and corresponding inducer drug are required for CDL transcription and/or translation. In the absence of the inducer drug, cell division and/or proliferation would be stopped or inhibited (e.g., slowed to a normal cell division rate). For example, the CDL Cdk1/CDK1 may be modified to comprise a dox-bridge (FIG. 1B), such that expression of Cdk1/CDK1 and cell division and proliferation are only possible in the presence of an inducer (e.g., doxycycline).


The term “proliferation antagonist system” as used herein, refers to a natural or engineered compound(s) whose presence inhibits (completely or partially) proliferation of a cell.


General Description of Tools and Methods


As described herein, the inventors have provided molecular tools, methods and kits for using one or more cell division loci (CDL) in an animal cell to generate genetically modified cells in which cell division and/or proliferation can be controlled by a user through one or more iNEPs (FIG. 1A). For example, division of cells generated using one or more tools and/or methods provided herein could be stopped, blocked or inhibited by a user such that a cell's division rate would not be fast enough to contribute to tumor formation. For example, proliferation of cells generated using one or more tools and/or methods provided herein could be stopped, blocked or inhibited by a user, by killing or stopping at least a portion of proliferating cells, such that a cell's proliferation rate or volume may be maintained at a rate or size, respectively, desired by the user.


Tools and methods for controlling cell division and/or proliferation are desirable, for example, in instances wherein faster cell division rates (relative to normal cell division rates) are undesirable. For example, cells that divide at faster than normal rates may form tumors in situ, which may be harmful to a host. In an embodiment, the genetically modified animal cells provided herein comprise one or more mechanisms for allowing normal cell division and/or proliferation and for stopping, ablating, blocking and/or slowing cell division and/or proliferation, such that undesirable cell division and/or proliferation may be controlled by a user (FIG. 1B). Referring to FIG. 1B, in example (I) EARC is inserted at the 5′ UTR of the CDL and ALINK is inserted at the 3′ UTR, the product of transcription is a bi-cistronic mRNA that get processed in two proteins. In example (II) both EARC and ALINK are inserted at the 5′ UTR of the CDL, the product of transcription is a bi-cistronic mRNA that get processed in two proteins. In example (III) EARC is inserted at the 5′ UTR of the CDL and ALINK is inserted within the CDL coding sequence, the product of transcription is a mRNA that get processed in a precursor protein that will generate two separate protein upon cleavage of specifically designed cleavage sequences. In example (IV) both EARC and ALINK are inserted at the 5′ UTR of the CDL, the product of transcription is a mRNA that get processed into a fusion protein that maintains both CDL and ALINK functions. In example (V) EARC is inserted at the 5′ UTR of the CDL and ALINK is inserted at the 3′ UTR, the product of transcription is a mRNA that get processed into a fusion protein that maintains both CDL and ALINK functions.


For example, the genetically modified animal cells provided herein may be used in a cell therapeutic treatment applied to a subject. If one or more of the genetically modified animal cells provided to the subject were to begin dividing at an undesirable rate (e.g., faster than normal), then a user could stop or slow division of cells dividing at the undesirable rate or block, slow or stop cells proliferating at the undesirable rate by i) applying to the cells dividing at the undesirable rate an inducer corresponding to the genetic modification in the cells; or ii) restricting access of the cells dividing at the undesirable rate to an inducer corresponding to the genetic modification in the cells, i) or ii) being determined based on the type of iNEP(s) provided in the genetically modified animal cells.


In an embodiment, the genetically modified animal cells provided herein may be referred to as “fail-safe cells”. A fail-safe cell contains one or more homozygous, heterozygous, hemizygous or compound heterozygous ALINKs in one or more CDLs. In an embodiment, a fail-safe cell further comprises one or more EARCs in one or more CDL. In an embodiment, a fail-safe cell comprises a CDL comprising both ALINK and EARC modifications.


As used herein, the term “fail-safe”, refers to the probability (designated as pFS) defining a cell number. For example, the number of cells that can be grown from a single fail-safe cell (clone volume) where the probability of obtaining a clone containing cells, which have lost all ALINKs is less than an arbitrary value (pFS). For example, a pFS=0.01 refers to a scenario wherein if clones were grown from a single cell comprising an ALINK-modified CDL 100 times, only one clone expected to have cells, which lost ALINK function (the expression of the negative selectable marker) while still capable of cell division. The fail-safe volume will depend on the number of ALINKs and the number of ALINK-targeted CDLs. The fail-safe property is further described in Table 1.









TABLE 1







Fail-safe cell volumes and their relationship to a human body were calculated


using mathematical modelling. The model did not take into a count the events


when CDL expression was co-lost with the loss of negative selectable marker


activity, compromising cell proliferation. Therefore the values are underestimates


and were calculated assuming 10-6 forward mutation rate for the negative selectable


marker. The estimated number of cells in a human body as 3.72 × 1013


was taken from (Bianconi et al., 2013).















Fail-safe
Relative (x) to
Estimated




Genotype
volume
a human body =
weight of


CDL #
ALINK #
in CDLs
(#cells)
3.72 × 1013 cells
clones
















1
1
het
512
0.0000000000137
1
μg


1
2
horn
16777216
0.000000451
31
mg


2
3
het, horn
1.374E+11
0.004
0.26
kg


2
4
horn, horn
 1.13E+15
30
2100
kg









It is contemplated herein that fail-safe cells may be of use in cell-based therapies wherein it may be desirable to eliminate cells exhibiting undesirable growth rates, irrespective of whether such cells are generated before or after grafting the cells into a host.


Cell Division Loci (CDLs)


The systems, methods and compositions provided herein are based on the identification of one or more CDLs, such as, for example, the CDLs set forth in Table 2. It is contemplated herein that various CDLs could be targeted using the methods provided herein.


In various embodiments, a CDL is a locus identified as an “essential gene” as set forth in Wang et al., 2015, which is incorporated herein by reference as if set forth in its entirety. Essential genes in Wang et al., 2015, were identified by computing a score (i.e., a CRISPR score) for each gene that reflects the fitness cost imposed by inactivation of the gene. In an embodiment, a CDL has a CRISPR score of less than about—1.0 (Table 2, column 5).


In various embodiments, a CDL is a locus/loci that encodes a gene product that is relevant to cell division and/or replication (Table 2, column 6). For example, in various embodiments, a CDL is a locus/loci that encodes a gene product that is relevant to one or more of: i) cell cycle; ii) DNA replication; iii) RNA transcription and/or protein translation; and iv) metabolism (Table 2, column 7).


In an embodiment, a CDL is one or more cyclin-dependent kinases that are involved with regulating progression of the cell cycle (e.g., control of G1/S G2/M and metaphase-to-anaphase transition), such as CDK1, CDK2, CDK3, CDK4, CDK5, CDK6, CDK7, CDK8, CDK9 and/or CDK11 (Morgan, 2007). In an embodiment, a CDL is one or more cyclins that are involved with controlling progression of the cell cycle by activating one or more CDK, such as, for example, cyclinB, cyclinE, cyclinA, cyclinC, cyclinD, cyclinH, cyclinC, cyclinT, cyclinL and/or cyclinF (FUNG and POON, 2005). In an embodiment, a CDL is one or more loci involved in the anaphase-promoting complex that controls the progression of metaphase to anaphase transition in the M phase of the cell cycle (Peters, 2002). In an embodiment, a CDL is one or more loci involved with kinetochore components that control the progression of metaphase to anaphase transition in the M phase of the cell cycle (Fukagawa, 2007). In an embodiment, a CDL is one or more loci involved with microtuble components that control microtubule dynamics required for the cell cycle (Cassimeris, 1999).


In various embodiments, a CDL is a locus/loci involved with housekeeping. As used herein, the term “housekeeping gene” or “housekeeping locus” refers to one or more genes that are required for the maintenance of basic cellular function. Housekeeping genes are expressed in all cells of an organism under normal and patho-physiological conditions.


In various embodiments, a CDL is a locus/loci that encodes a gene product that is relevant to cell division and/or proliferation and has a CRISPR score of less than about −1.0. For example, in an embodiment, a CDL is a locus/loci that encodes a gene product that is relevant to one or more of: i) cell cycle; ii) DNA replication; iii) RNA transcription and/or protein translation; and iv) metabolism, and has a CRISPR score of less than about −1.0. In an embodiment, the CDL may also be a housekeeping gene.


In an embodiment, to identify potential CDLs, the inventors examined early mouse embryonic lethal phenotypes of gene knockouts (KOs; Table 2, column 8). For example, the inventors found that mouse embryos homozygous null for Cdk1 (cyclin-dependent kinase 1, also referred to as cell division cycle protein 2 homolog (CDC2)) null mutation die at the 2-cell stage (E1.5) (Santamaría et al., 2007). Cdk1 (referred to as CDK1 in humans) is a highly conserved serine/threonine kinase whose function is critical in regulating the cell cycle. Protein complexes of Cdk1 phosphorylate a large number of target substrates, which leads to cell cycle progression. In the absence of Cdk1 expression, a cell cannot transition through the G2 to M phase of the cell cycle.


Cdk1/CDK1 is one example of a single locus CDL. Genetic modifications of Cdk1/CDK1, in which transcription of the locus is ablated by insertion of an ALINK modification and/or exogenously controlled by insertion of an EARC modification, are examined herein as set forth in Examples 1, 2 and 3. Top2A/TOP2A is one example of a CDL. Cenpa/CEPNA is one example of a CDL. Birc5/BIRC5 is one example of a CDL. Eef2/EEF2 is one example of a CDL. Genetic modifications of Top2a, Cenpa, Birc5, and Eef2 in which transcription of the locus can be exogenously controlled by insertion of an EARC modification are examined herein as set forth in Examples 4-7, respectively.


It an embodiment, is contemplated herein that alternative and/or additional loci are CDLs that could be targeted using the method provided herein.


For example, RNAi screening of human cell lines identified a plurality of genes essential for cell proliferation (Harborth et al., 2001; Kittler et al., 2004). The inventors predicted that a subset of these loci were CDLs after confirming the loci's early embryonic lethal phenotype of mouse deficient of the orthologues and/or analyzing the Loci's GO term and/or genecards (Table 2, column 8).


Targeting a CDL with an Ablation Link (ALINK) Genetic Modification


In one aspect, the disclosure provides molecular tools, methods and kits for modifying a CDL by linking the expression of a CDL with that of a DNA sequence encoding a negative selectable marker, thereby allowing drug-induced ablation of mitotically active cells consequently expressing the CDL and the negative selectable marker. Ablation of proliferating cells may be desirable, for example, when cell proliferation is uncontrolled and/or accelerated relative to a cell's normal division rate (e.g., uncontrolled cell division exhibited by cancerous cells). Ablation of proliferating cells may be achieved via a genetic modification to the cell, referred to herein as an “ablation link” (ALINK), which links the expression of a DNA sequence encoding a negative selectable marker to that of a CDL, thereby allowing elimination or sufficient inhibition of ALINK-modified proliferating cells consequently expressing the CDL locus (sufficient inhibition being inhibition of cell expansion rate to a rate that is too low to contribute to tumour formation). In the presence of a pro-drug or other inducer of the negatively selectable system, cells expressing the negative selectable marker will stop proliferating or die, depending on the mechanism of action of the selectable marker. Cells may be modified to comprise homozygous, heterozygous, hemizygous or compound heterozygous ALINKS. In one embodiment, to improve fidelity of ablation, a negative selectable marker may be introduced into all alleles functional of a CDL. In one preferred embodiment, a negative selectable marker may be introduced into all functional alleles of a CDL.


An ALINK may be inserted in any position of CDL, which allows co-expression of the CDL and the negative selectable marker.


As discussed further below in Example 1, DNA encoding a negatively selectable marker (e.g., HSV-TK), may be inserted into a CDL (e.g., CDK1) in a host cell, such that expression of the negative selectable marker causes host cells expressing the negative selectable marker and, necessarily, the CDL, to be killed in the presence of an inducer (e.g., prodrug) of the negative selectable marker (e.g., ganciclovir (GCV)). In this example, host cells modified with the ALINK will produce thymidine kinase (TK) and the TK protein will convert GCV into GCV monophosphate, which is then converted into GCV triphosphate by cellular kinases. GCV triphosphate incorporates into the replicating DNA during S phase, which leads to the termination of DNA elongation and cell apoptosis (Halloran and Fenton, 1998).


A modified HSV-TK gene (Preuf3 et al., 2010) is disclosed herein as one example of DNA encoding a negative selectable marker that may be used in an ALINK genetic modification to selectively ablate cells comprising undesirable cell division rate.


It is contemplated herein that alternative and/or additional negative selectable systems could be used in the tools and/or methods provided herein. Various negative selectable marker systems are known in the art (e.g., dCK.DM (Neschadim et al., 2012)).


For example, various negative selectable system having clinical relevance have been under active development in the field of “gene-direct enzyme/prodrug therapy” (GEPT), which aims to improve therapeutic efficacy of conventional cancer therapy with no or minimal side-effects (Hedley et al., 2007; Nawa et al., 2008). Frequently, GEPT involves the use of viral vectors to deliver a gene into cancer cells or into the vicinity of cancer cells in an area of the cancer cells that is not found in mammalian cells and that produces enzymes, which can convert a relatively non-toxic prodrug into a toxic agent.


HSV-TK/GCV, cytosine deaminase/5-fluorocytosine (CD/5-FC), and carboxyl esterase/irinotecan (CE/CPT-11) are examples of negative selectable marker systems being evaluated in GEPT pre- and clinical trials (Danks et al., 2007; Shah, 2012).


To overcome the potential immunogenicity issue of Herpes Simplex Virus type 1 thymidine kinase/ganciclovir (TK/GCV) system, a “humanized” suicide system has been developed by engineering the human deoxycytidine kinase enzyme to become thymidine-active and to work as a negative selectable (suicide) system with non-toxic prodrugs: bromovinyl-deoxyuridine (BVdU), L-deoxythymidine (LdT) or L-deoxyuridine (LdU) (Neschadim et al., 2012).


The CD/5-FC negative selectable marker system is a widely used “suicide gene” system. Cytosine deaminase (CD) is a non-mammalian enzyme that may be obtained from bacteria or yeast (e.g., from Escherichia coli or Saccharomyces cerevisiae, respectively) (Ramnaraine et al., 2003). CD catalyzes conversion of cytosine into uracil and is an important member of the pyrimidine salvage pathway in prokaryotes and fungi, but it does not exist in mammalian cells. 5-fluorocytosine (5-FC) is an antifungal prodrug that causes a low level of cytotoxicity in humans (Denny, 2003). CD catalyzes conversion of 5-FC into the genotoxic agent 5-FU, which has a high level of toxicity in humans (Ireton et al., 2002).


The CE/CPT-11 system is based on the carboxyl esterase enzyme, which is a serine esterase found in a different tissues of mammalian species (Humerickhouse et al., 2000). The anti-cancer agent CPT-11 is a prodrug that is activated by CE to generate an active referred to as 7-ethyl-10-hydroxycamptothecin (SN-38), which is a strong mammalian topoisomerase I inhibitor (Wierdl et al., 2001). SN-38 induces accumulation of double-strand DNA breaks in dividing cells (Kojima et al., 1998).


Another example of a negative selectable marker system is the iCasp9/AP1903 suicide system, which is based on a modified human caspase 9 fused to a human FK506 binding protein (FKBP) to allow chemical dimerization using a small molecule AP1903, which has tested safely in humans. Administration of the dimerizing drug induces apoptosis of cells expressing the engineered caspase 9 components. This system has several advantages, such as, for example, including low potential immunogenicity, since it consists of human gene products, the dimerizer drug only effects the cells expressing the engineered caspase 9 components (Straathof et al., 2005). The iCasp/AP1903 suicide system is being tested in clinical settings (Di Stasi et al., 2011).


It is contemplated herein that the negative selectable marker system of the ALINK system could be replaced with a proliferation antagonist system. The term “proliferation antagonist” as used herein, refers to a natural or engineered compound(s) whose presence inhibits (completely or partially) division of a cell. For example, OmomycER is the fusion protein of MYC dominant negative Omomyc with mutant murine estrogen receptor (ER) domain. When induced with tamoxifen (TAM), the fusion protein OmomycER localizes to the nucleus, where the dominant negative Omomyc dimerizes with C-Myc, L-Myc and N-Myc, sequestering them in complexes that are unable to bind the Myc DNA binding consensus sequences (Soucek et al., 2002). As a consequence of the lack of Myc activity, cells are unable to divide (Oricchio et al., 2014). Another example of a proliferation antagonist is A-Fos, a dominant negative to activation protein-1 (AP1) (a heterodimer of the oncogenes Fos and Jun) that inhibits DNA binding in an equimolar competition (Olive et al., 1997). A-Fos can also be fused to ER domain, rendering its nuclear localization to be induced by TAM. OmomycER/tamoxifen or A-FosER/tamoxifen could be a replacement for TK/GCV to be an ALINK.


Targeting a CDL with an EARC Genetic Modification


In an aspect, the disclosure provides molecular tools, methods and kits for exogenously controlling a CDL by operably linking the CDL with an EARC, such as an inducible activator-based gene expression system. Under these conditions, the CDL will only be expressed (and the cell can only divide) in the presence of the inducer of the inducible activator-based gene expression system. Under these conditions, EARC-modified cells stop dividing, significantly slow down, or die in the absence of the inducer, depending on the mechanism of action of the inducible activator-based gene expression system and CDL function. Cells may be modified to comprise homozygous or compound heterozygous EARCs or may be altered such that only EARC-modified alleles could produce functional CDLs. In an embodiment, an EARC modification may be introduced into all alleles of a CDL, for example, to provide a mechanism for cell division control.


An EARC may be inserted in any position of CDL that permits co-expression of the CDL and the activator component of the inducible system in the presence of the inducer.


In an embodiment, an “activator” based gene expression system is preferable to a “repressor” based gene expression system. For example, if a repressor is used to suppress a CDL a loss of function mutation of the repressor could release CDL expression, thereby allowing cell proliferation. In a case of an activation-based suppression of cell division, the loss of activator function (mutation) would shut down CDL expression, thereby disallowing cell proliferation.


As discussed further below in Examples 2-6, a dox-bridge may be inserted into a CDL (e.g., CDK1) in a host cell, such that in the presence of an inducer (e.g., doxycycline or “DOX”) the dox-bridge permits CDL expression, thereby allowing cell division and proliferation. Host cells modified with a dox-bridge EARC may comprise a reverse tetracycline Trans-Activator (rtTA) gene (Urlinger et al., 2000) under the transcriptional control of a promoter, which is active in dividing cells (e.g., in the CDL). This targeted insertion makes the CDL promoter no longer available for CDL transcription. To regain CDL transcription, a tetracycline responder element promoter (for example TRE (Agha-Mohammadi et al., 2004)) is inserted in front of the CDL transcript, which will express the CDL gene only in a situation when rtTA is expressed and doxycycline is present. When the only source of CDL expression is dox-bridged alleles, there is no CDL gene expression in the absence of doxycycline. The lack of CDL expression causes the EARC-modified cells to be compromised in their proliferation, either by death, stopping cell division, or by rendering the cell mitotic rate so slow that the EARC-modified cell could not contribute to tumor formation.


The term “dox-bridge” as used herein, refers to a mechanism for separating activity of a promoter from a target transcribed region by expressing rtTA (Gossen et al., 1995) by the endogenous or exogenous promoter and rendering the transcription of target region under the control of TRE. As used herein, “rtTA” refers to the reverse tetracycline transactivator elements of the tetracycline inducible system (Gossen et al., 1995) and “TRE” refers to a promoter consisting of TetO operator sequences upstream of a minimal promoter. Upon binding of rtTA to the TRE promoter in the presence of doxycycline, transcription of loci downstream of the TRE promoter increases. The rtTA sequence may be inserted in the same transcriptional unit as the CDL or in a different location of the genome, so long as the transcriptional expression's permissive or non-permissive status of the target region is controlled by doxycycline. A dox-bridge is an example of an EARC.


Introduction of an EARC system into the 5′ regulatory region of a CDL is also contemplated herein.


It is contemplated herein that alternative and/or additional inducible activator-based gene expression systems could be used in the tools and or methods provided herein to produce EARC modifications. Various inducible activator-based gene expression systems are known in the art.


For example, destabilizing protein domains (Banaszynski et al., 2006) fused with an acting protein product of a coding CDL could be used in conjunction with a small molecule synthetic ligand to stabilize a CDL fusion protein when cell division and/or proliferation is desirable. In the absence of a stabilizer, destabilized-CDL-protein will be degraded by the cell, which in turn would stop proliferation. When the stabilizer compound is added, it would bind to the destabilized-CDL-protein, which would not be degraded, thereby allowing the cell to proliferate.


For example, transcription activator-like effector (TALE) technology (Maeder et al., 2013) could be combined with dimerizer-regulated expression induction (Pollock and Clackson, 2002). The TALE technology could be used to generate a DNA binding domain designed to be specific to a sequence, placed together with a minimal promoter replacing the promoter of a CDL. The TALE DNA binding domain also extended with a drug dimerizing domain. The latter can bind to another engineered protein having corresponding dimerizing domain and a transcriptional activation domain. (FIG. 1C)


For example, referring to FIG. 1D, a reverse-cumate-Trans-Activator (rcTA) may be inserted in the 5′ untranslated region of the CDL, such that it will be expressed by the endogenous CDL promoter. A 6-times repeat of a Cumate Operator (6×CuO) may be inserted just before the translational start (ATG) of CDL. In the absence of cumate in the system, rcTA cannot bind to the 6×CuO, so the CDL will not be transcribed because the 6×CuO is not active. When cumate is added, it will form a complex with rcTA, enabling binding to 6×CuO and enabling CDL transcription (Mullick et al., 2006).


For example, referring to FIG. 1E, a retinoid X receptor (RXR) and an N-terminal truncation of ecdysone receptor (EcR) fused to the activation domain of Vp16 (VpEcR) may be inserted in the 5′ untranslated region of a CDL such that they are co-expressed by an endogenous CDL promoter. Ecdysone responsive element (EcRE), with a downstream minimal promoter, may also be inserted in the CDL, just upstream of the starting codon. Co-expressed RXR and VpEcR can heterodimerize with each other. In the absence of ecdysone or a synthetic drug analog muristerone A, dimerized RXR/VpEcR cannot bind to EcRE, so the CDL is not transcribed. In the presence of ecdysone or muristerone A, dimerized RXR/VpEcR can bind to EcRE, such that the CDL is transcribed (No et al., 1996).


For example, referring to FIG. 1F, a transient receptor potential vanilloid-1 (TRPV1), together with ferritin, may be inserted in the 5′ untranslated region of a CDL and co-expressed by an endogenous CDL promoter. A promoter inducible by NFAT (NFATre) may also be inserted in the CDL, just upstream of the starting codon. In a normal environment, the NFAT promoter is not active. However, upon exposure to low-frequency radio waves, TRPV1 and ferritin create a wave of Ca++ entering the cell, which in turn converts cytoplasmatic-NFAT (NFATc) to nuclear-NFAT (NFATn), that ultimately will activate the NFATre and transcribe the CDL (Stanley et al., 2015).


For example, referring to FIG. 1G, a CDL may be functionally divided in to parts/domains: 5′-CDL and 3′CDL, and a FKBP peptide sequence may be inserted into each domain. An IRES (internal ribosomal entry site) sequence may be placed between the two domains, which will be transcribed simultaneously by a CDL promoter but will generate two separate proteins. Without the presence of an inducer, the two separate CDL domains will be functionally inactive. Upon introduction of a dimerization agent, such as rapamycin or AP20187, the FKBP peptides will dimerize, bringing together the 5′ and 3′ CDL parts and reconstituting an active protein (Rollins et al., 2000).


Methods of Controlling Division of an Animal Cell


In an aspect, a method of controlling division of an animal cell is provided herein.


The method comprises providing an animal cell. For example, the animal cell may be an avian or mammalian cell. For example, the mammalian cell may be an isolated human or non-human cell that is pluripotent (e.g., embryonic stem cell or iPS cell), multipotent, monopotent progenitor, or terminally differentiated. The mammalian cell may be derived from a pluripotent, multipotent, monopotent progenitor, or terminally differentiated cell. The mammalian cell may be a somatic stem cell, a multipotent or monopotent progenitor cell, a multipotent somatic cell or a cell derived from a somatic stem cell, a multipotent progenitor cell or a somatic cell. Preferably, the animal cell is amenable to genetic modification. Preferably, the animal cell is deemed by a user to have therapeutic value, meaning that the cell may be used to treat a disease, disorder, defect or injury in a subject in need of treatment for same. In various embodiments, the non-human mammalian cell may be a mouse, rat, hamster, guinea pig, cat, dog, cow, horse, deer, elk, bison, oxen, camel, llama, rabbit, pig, goat, sheep, or non-human primate cell. In a preferred embodiment, the animal cell is a human cell.


The method further comprises genetically modifying in the animal cell a CDL. The step of genetically modifying the CDL comprises introducing into the host animal cell an iNEP, such as one or more ALINK systems or one or more of an ALINK system and an EARC system. Techniques for introducing into animal cells various genetic modifications, such as negative selectable marker systems and inducible activator-based gene expression systems, are known in the art, including techniques for targeted (i.e., non-random), compound heterozygous and homozygous introduction of same. In cases involving use of EARC modifications, the modification should ensure that functional CDL expression can only be generated through EARC-modified alleles. For example, targeted replacement of a CDL or a CDL with a DNA vector comprising one or more of an ALINKalone or together with one or more EARC systems may be carried out to genetically modify the host animal cell.


The method further comprises permitting division of the genetically modified animal cell(s) comprising the iNEP system.


For example, permitting division of ALINK-modified cells by maintaining the genetically modified animal cells comprising the ALINK system in the absence of an inducer of the corresponding ALINK negative selectable marker. Cell division and proliferation may be carried out in vitro and/or in vivo. For example, genetically modified cells may be allowed to proliferate and expand in vitro until a population of cells that is large enough for therapeutic use has been generated. For example, one or more of the genetically modified animal cell(s) cells that have been proliferated and expanded may be introduced into a host (e.g., by grafting) and allowed to proliferate further in vivo. In various embodiment, ablating and/or inhibiting division of the genetically modified animal cell(s) comprising an ALINK system, may be done, in vitro and/or in vivo, by exposing the genetically modified animal cell(s) comprising the ALINK system to the inducer of the corresponding negative selectable marker. Such exposure will ablate proliferating cells and/or inhibit the genetically modified animal cell's rate of proliferation by killing at least a portion of proliferating cells. Ablation of genetically modified cells and/or inhibition of cell proliferation of the genetically modified animal cells may be desirable if, for example, the cells begin dividing at a rate that is faster than normal in vitro or in vivo, which could lead to tumor formation and/or undesirable cell growth.


For example, permitting division of EARC-modified cells by maintaining the genetically modified animal cell comprising the EARC system in the presence of an inducer of the inducible activator-based gene expression system. Cell division and proliferation may be carried out in vitro and/or in vivo. For example, genetically modified cells may be allowed to proliferate and expand in vitro until a population of cells that is large enough for therapeutic use has been generated. For example, one or more of the genetically modified animal cell(s) cells that have been proliferated and expanded may be introduced into a host (e.g., by grafting) and allowed to proliferate further in vivo. In various embodiment, ablating and/or inhibiting division of the genetically modified animal cell(s) comprising the EARC system, may be done, in vitro and/or in vivo, by preventing or inhibiting exposure the genetically modified animal cell(s) comprising the EARC system to the inducer of the inducible activator-based gene expression system. The absence of the inducer will ablate proliferating cells and/or inhibit the genetically modified animal cell's expansion by proliferation such that it is too slow to contribute to tumor formation. Ablation and/or inhibition of cell division of the genetically modified animal cells may be desirable if, for example, the cells begin dividing at a rate that is faster than normal in vitro or in vivo, which could lead to tumor formation and/or undesirable cell growth.


For example, in various embodiments of the method provided herein, set forth in various Examples below, the inducers are doxycycline and ganciclovir.


In an embodiment, doxycycline may be delivered to cells in vitro by adding to cell growth media a concentrated solution of the inducer, such as, for example, about 1 mg/ml of Dox dissolved in H2O to a final concentration in growth media of about 1 μg/ml. In vivo, doxycycline may be administered to a subject orally, for example through drinking water (e.g., at a dosage of about 5-10 mg/kg) or eating food (e.g., at a dosage of about 100 mg/kg), by injection (e.g., I.V. or I.P. at a dosage of about 50 mg/kg) or by way of tablets (e.g., at a dosage of about 1-4 mg/kg).


In an embodiment, ganciclovir may be delivered to cells in vitro by adding to cell growth media a concentrated solution of the inducer, such as, for example, about 10 mg/ml of GCV dissolved in H2O to a final concentration in growth media of about 0.25-25 μg/ml. In vivo, GCV may be administered to a subject orally, for example through drinking water (e.g., at a dosage of about 4-20 mg/kg) or eating food (e.g., at a dosage of about 4-20 mg/kg), by injection (e.g., at a dosage of about I.V. or I.P. 50 mg/kg) or by way of tablets (e.g., at a dosage of about 4-20 mg/kg).


In an embodiment, to assess whether the inducers are working in vitro, cell growth and cell death may be measured (e.g., by cell counting and viability assay), for example every 24 hours after treatment begins. To assess whether the inducers are working in vivo, the size of teratomas generated from genetically modified pluripotent cells may be measured, for example, every 1-2 days after treatment begins.


In a particularly preferred embodiment of the method provided herein, an animal cell may be genetically modified to comprise both ALINK and EARC systems. The ALINK and EARC systems may target the same or different CDLs. Such cells may be desirable for certain applications, for example, because they provide a user with at least two mechanisms for ablating and/or inhibiting cell division and/or ablating and/or inhibiting proliferation by killing at least a portion of proliferating cells.


It is contemplated herein that the method provided herein may be used to control division and/or proliferation of an avian cell, such as, for example, a chicken cell.


Cells Engineered to Comprise at Least One Mechanism for Controlling Cell Division


In an aspect, an animal cell genetically modified to comprise at least one mechanism for controlling cell division and/or proliferation, and populations of same, are provided herein. For example, the mammalian cell may be an isolated human or non-human cell that is pluripotent (e.g., embryonic stem cell or iPS cell), multipotent, monopotent progenitor, or terminally differentiated. The mammalian cell may be derived from a pluripotent, multipotent, monopotent progenitor, or terminally differentiated cell. The mammalian cell may be a somatic stem cell, a multipotent, monopotent progenitor, progenitor cell or a somatic cell or a cell derived from a somatic stem cell, a multipotent or monopotent progenitor cell or a somatic cell. Preferably, the animal cell is amenable to genetic modification. Preferably, the animal cell is deemed by a user to have therapeutic value, meaning that the cell may be used to treat a disease, disorder, defect or injury in a subject in need of treatment for same. In some embodiments, the non-human mammalian cell may be a mouse, rat, hamster, guinea pig, cat, dog, cow, horse, deer, elk, bison, oxen, camel, llama, rabbit, pig, goat, sheep, or non-human primate cell.


The genetically modified cells provided herein comprise one or more genetic modification of one or more CDL. The genetic modification of a CDL being an ALINK system and, in the case of CDLs, one or more of an ALINK system and an EARC system, such as, for example, one or more of the ALINK and/or EARC systems described herein. For example, a genetically modified animal cell provided herein may comprise: an ALINK system in one or more CDLs; an EARC system in one or more CDLs; or ALINK and EARC systems in one or more CDLS, wherein the ALINK and EARC systems correspond to the same or different CDLs. The genetically modified cells may comprise homozygous, heterozygous, hemizygous or compound heterozygous ALINK genetic modifications. In the case of EARC modifications, the modification should ensure that functional CDL expression can only be generated through EARC-modified alleles.


It is contemplated that the genetically modified cells provided herein may be useful in cellular therapies directed to treat a disease, disorder or injury and/or in cellular therapeutics that comprise controlled cellular delivery of compounds and/or compositions (e.g., natural or engineered biologics). As indicated above, patient safety is a concern in cellular therapeutics, particularly with respect to the possibility of malignant growth arising from therapeutic cell grafts. For cell-based therapies where intensive proliferation of the therapeutic cell graft is not required, it is contemplated that the genetically modified cells comprising one or more iNEP modifications, as described herein, would be suitable for addressing therapeutic and safety needs. For cell-based therapies where intensive proliferation of the therapeutic cell graft is required, it is contemplated that the genetically modified cells comprising two or more iNEP modifications, as described herein, would be suitable for addressing therapeutic and safety needs.


It is contemplated herein that avian cells, such as chicken cells, may be provided, wherein the avian cells comprise the above genetic modifications.


Molecular Tools for Targeting CDLs


In an aspect, various DNA vectors for modifying expression of a CDL are provided herein.


In one embodiment, the DNA vector comprises an ALINK system, the ALINK system comprising a DNA sequence encoding a negative selectable marker. The expression of the negative selectable marker is linked to that of a CDL.


In one embodiment, the DNA vector comprises an EARC system, the EARC system comprising an inducible activator-based gene expression system that is operably linked to a CDL, wherein expression of the CDL is inducible by an inducer of the inducible activator-based gene expression system.


In one embodiment, the DNA vector comprises an ALINK system, as described herein, and an EARC system, as described herein. When such a cassette is inserted into a host cell, CDL transcription product expression may be prevented and/or inhibited by an inducer of the negative selectable marker of the ALINK system and expression of the CDL is inducible by an inducer of the inducible activator-based gene expression system of the EARC system.


In various embodiments, the CDL in the DNA vector is a CDL listed in Table 2.


In various embodiments, the ALINK system in the DNA vector is a herpes simplex virus-thymidine kinase/ganciclovir system, a cytosine deaminase/5-fluorocytosine system, a carboxyl esterase/irinotecan system or an iCasp9/AP1903 system.


In various embodiments, the EARC system in the DNA vector is a dox-bridge system, a cumate switch inducible system, an ecdysone inducible system, a radio wave inducible system, or a ligand-reversible dimerization system.


Kits


The present disclosure contemplates kits for carrying out the methods disclosed herein. Such kits typically comprise two or more components required for using CDLs and/or CDLs to control cell proliferation. Components of the kit include, but are not limited to, one or more of compounds, reagents, containers, equipment and instructions for using the kit. Accordingly, the methods described herein may be performed by utilizing pre-packaged kits provided herein. In one embodiment, the kit comprises one or more DNA vectors and instructions. In some embodiments, the instructions comprise one or more protocols for introducing the one or more DNA vectors into host cells. In some embodiments, the kit comprises one or more controls.


In one embodiment, the kit comprises one or more DNA vector for modifying expression of a CDL, as described herein. By way of example, the kit may contain a DNA vector comprising an ALINK system; and/or a DNA vector comprising an EARC system; and/or a DNA vector comprising an ALINK system and an EARC system; and instructions for targeted replacement of a CDL and/or CDL in an animal cell using one or more of the DNA vectors. In preferred embodiments, the kit may further comprise one or more inducers (e.g., drug inducer) that correspond with the ALINK and/or EARC systems provided in the DNA vector(s) of the kit.


The following non-limiting examples illustrative of the disclosure are provided.


Example 1: Generation of ALINK-Modified Cells (Mouse and Human)

In Example 1, construction of ALINK (HSV-TK) vectors targeting Cdk1/CDK1 and use of same to control cell proliferation in mouse and human ES cells, by way of killing at least a portion of proliferating cells, is described. In this example, Cdk1/CDK1 is the CDL and HSV-TK is the negative selectable marker.


Cdk1/CDK1 is expressed in all mitotically active (i.e., dividing) cells. In cells modified to comprise a homozygous ALINK between the CDK1 locus and HSV-TK, all mitotically active cells express CDK1 and HSV-TK. Thus, the ALINK-modified mitotically active cells can be eliminated by treatment with GCV (the pro-drug of HSV-TK). If all the functional CDK1 expressing allele is ALINK modified and the cells were to silence HSV-TK expression then likely CDK1 expression would also be silenced and the cells would no longer be able to divide. Quiescent (i.e., non-dividing) cells do not express Cdk1/CDK1. Thus, ALINK-modified quiescent cells would not express the Cdk1/CDK1-HSV-TK link.


In Example 1, the transcriptional link between Cdk1/CDK1 and HSV-TK was achieved by homologous recombination-based knock-ins.


Methods


Generation of Target Vectors


Mouse Target Vector I: The mouse Cdk1 genomic locus is shown in FIG. 2A. Referring to FIG. 2B, two DNA fragments: 5TK (SEQ ID NO: 1) and 3TK (SEQ ID NO: 2) (SalI-F2A-5′TK.007-PB 5′LTR-NotI-SacII and SalI-SacII-3′TK.007-PB 3′LTR-3′TK.007-T2A-XhoI-mCherry-NheI) were obtained by gene synthesis in a pUC57 vector (GenScript). Fragment 5TK was digested with SalI+SacII and cloned into 3TK with the same digestion to generate pUC57-5TK-3TK. A PGK-Neomycin cassette was obtained by cutting the plasmid pBluescript-M214 (SEQ ID NO: 3) with NotI+HindIII and it was ligated into the NotI+SacII site of pUC57-5TK-3TK to generate the ALINK cassette to be inserted at the 3′ end of Cdk1 (i.e., the CDL).


Homology arms for the insertion ALINK at the 3′ of the CDL: Cdk1 DNA coding sequences were cloned by recombineering: DH10B E. coli cell strain containing bacterial artificial chromosomes (BACs) with the genomic sequences of Cdk1 (SEQ ID NO: 4), which were purchased from The Center for Applied Genomics (TCAG). The recombineering process was mediated by the plasmid pSC101-BAD-γβα Red/ET (pRET) (GeneBridges, Heidelberg Germany). pRET was first electroporated into BAC-containing DH10B E. coli at 1.8 kV, 25 μF, 400 Ohms (BioRad GenePulserI/II system, BioRad, ON, CA) and then selected for choloramphenicol and tetracycline resistance. Short homology arms (50 bp) (SEQ ID NOs: 5 and 6 respectively) spanning the ALINK insertion point (5′ and 3′ of the Cdk1 stop codon) were added by PCR to the cassette, F2A-5′TK-PB-PGKneo-PB-3′TK-T2A-cherry. This PCR product was then electroporated into Bac+pRET DH10B E. coli under the conditions described above and then selected for kanamycin resistance. The final targeting cassette, consisting of 755 bp and 842 base pair (bp) homology arms (SEQ ID NOs: 7 and 8, respectively), was retrieved by PCR with primers (SEQ ID NOs: 9 and 10, respectively) and cloned into a pGemT-Easy vector to generate mouse Target Vector I. The critical junction regions of the vector were sequenced at TCAG and confirmed.


Mouse Target Vector II: referring to FIG. 2D, F2A-loxP-PGK-neo-pAdoxP-AscI (SEQ ID NO: 11) was PCR amplified from pLoxPNeo1 vector and TA cloned into a pDrive vector (Qiagen). AscI-TK-T2A-mCherry-EcoRI (SEQ ID NO: 12) was PCR amplified from excised TC allele I, and TA cloned into the pDrive vector. The latter fragment was then cloned into the former vector by BamHI+AscI restriction sites. This F2A-loxP-PGK-neo-pAdoxP-TK-T2A-mCherry cassette was inserted between mouse Cdk1 homology arms by GeneArt® Seamless Cloning and Assembly Kit (Life Technologies). To generate the puromycin (puro) version vector, PGK-puro-pA fragment (SEQ ID NO: 13) was cut from pNewDockZ with BamHI+NotI and T4 blunted. The neo version vector was cut with AscI+ClaI, T4 blunted and ligated with PGK-puro-pA.


Human Target Vector I: Similar to mouse Target Vector I, 847 bp upstream of human CDK1 stop codon (SEQ ID NO: 14)+F2A-5′TK-PB-PGKneo-PB-3′TK-T2A-cherry (SEQ ID NO: 15)+831 bp downstream of human CDK1 stop codon (SEQ ID NO: 16) was generated by recombineering technology. A different version of the vector containing a puromycin resistant cassette for selection, was generated to facilitate one-shot generation of homozygous targeting: AgeI-PGK-puro-pA-FseI (SEQ ID NO: 17) was amplified from pNewDockZ vector, digested and cloned into neo version vector cut by AgeI+FseI.


Human Target Vector II: BamHI-F2A-loxP-PGK-neo-pAdoxP-TK-T2A-mCherry (SEQ ID NO: 18) and BamHI-F2A-loxP-PGK-puro-pAdoxP-TK-T2A-mCherry (SEQ ID NO: 19) were amplified from the corresponding mouse Target Vector II, and digested with BamHI+SgrAI. The mCherry (3′ 30 bp)-hCDK13′HA-pGemEasy-hCDK15′HA-BamHI (SEQ ID NO: 20) was PCR-amplified and also digested with BamHI+SgrAI. The neo and puromycin version of human Target Vector II were generated by ligation of the homology arm backbone and the neo or puromycin version ALINK cassette.


Human Target Vector III: Target vectors with no selection cassette were made for targeting with fluorescent marker (mCherry or eGFP) by FACS and avoiding the step of excision of selection cassette. BamHI-F2A-TK-T2A-mCherry-SgrAI (SEQ ID NO: 58) was PCR amplified from excised TC allele I, digested with BamHI+SgrAI, and ligated with digested mCherry (3′ 30 bp)-hCDK13′HA-pGemEasy-hCDK15′HA-BamHI (SEQ ID NO: 20). The CRISPR PAM site in the target vector was mutagenized with primers PAM_fwd (SEQ ID NO: 59) and PAM_rev (SEQ ID NO: 60) using site-directed PCR-based mutagenesis protocol. The GFP version vector was generated by fusion of PCR-amplified XhoI-GFP (SEQ ID NO: 61) and pGemT-hCdk1-TK-PAMmut (SEQ ID NO: 62) with NEBuiler HiFi DNA Assembly Cloning Kit (New England Biolabs Inc.).


Generation of CRISPR/Cas9 Plasmids


CRISPR/Cas9-assisted gene targeting was used to achieve high targeting efficiency (Cong et al., 2013). Guide sequences for CRISPR/Cas9 were analyzed using the online CRISPR design tool (http://crispr.mit.edu) (Hsu et al., 2013).


CRISPR/Cas9 plasmids pX335-mCdkTK-A (SEQ ID NO: 21) and pX335-mCdkTK-B (SEQ ID NO: 22) were designed to target mouse Cdk1 at SEQ ID NO: 23.


CRISPR/Cas9 plasmids pX330-hCdkTK-A (SEQ ID NO: 24) and pX459-hCdkTK-A (SEQ ID NO: 25) were designed to target the human Cdk1 at SEQ ID NO: 26.


CRISPRs were generated according to the suggested protocol with backbone plasmids purchased from Addgene. (Ran et al., 2013).


Generation of ALINK-Modified Mouse ES Cells


Mouse ES Cell Culture: Mouse ES cells are cultured in Dulbecco's modified Eagle's medium (DMEM) (high glucose, 4500 mg/liter) (Invitrogen), supplemented with 15% Fetal Bovine Serum (Invitrogen), 1 mM Sodium pyruvate (Invitrogen), 0.1 mM MEM Non-essential Amino-acids (Invitrogen), 2 mM GlutaMAX (Invitrogen), 0.1 mM 2-mEARCaptoethanol (Sigma), 50 U/ml each Penicillin/Streptomycin (Invitrogen) and 1000 U/ml Leukemia-inhibiting factor (LIF) (Chemicon). Mouse ES cells are passed with 0.25% trypsin and 0.1% EDTA.


Targeting: 5×105 mouse C57BL/6 C2 ES cells (Gertsenstein et al., 2010) were transfected with 2 ug DNA (Target Vector:0.5 μg, CRISPR vector: 1.5 μg) by JetPrime transfection (Polyplus). 48h after transfection cells were selected for G418 or/and puromycin-resistant. Resistant clones were picked independently and transferred to 96-well plates. 96-well plates were replicated for freezing and genotyping (SEQ ID NOs: 27, 28, 29 and 30). PCR-positive clones were expanded, frozen to multiple vials, and genotyped by southern blotting.


Excision of the selection cassette: correctly targeted ES clones were transfected with Episomal-hyPBase (for Target Vector I) (SEQ ID NO: 34) or pCAGGs-NLS-Cre-Ires-Puromycin (for Target Vector II) (SEQ ID NO: 35). 2-3 days following transfection, cells were trypsinized and plated clonally (1000-2000 cells per 10 cm plate). mCherry-positive clones were picked and transferred to 96-well plates independently and genotyped by PCR (SEQ ID NOs: 31 and 36) and Southern blots to confirm the excision event. The junctions of the removal region were PCR-amplified, sequenced and confirmed to be intact and seamless without frame shift.


Homozygous targeting: ES clones that had already been correctly targeted with a neo version target vector and excised of selection cassette were transfected again with a puromycin-resistant version of the target vector. Selection of puromycin was added after 48 hours of transfection, then colonies were picked and analyzed, as described above (SEQ ID NOs: 31 and 32). Independent puro-resistant clones were grown on gelatin, then DNA was extracted for PCR to confirm the absence of a wild-type allele band (SEQ ID NOs: 31, 33).


Generation of ALINK-Modified Human ES Cells


Human ES Cell Culture: Human CA1 or H1 (Adewumi et al., 2007) ES cells were cultured with mTeSR1 media (STEMCELL Technologies) plus penicillin-streptomycin (Gibco by Life Technologies) on Geltrex (Life Technologies) feeder-free condition. Cells were passed by TrypIE Express (Life Technologies) or Accutase (STEMCELL Technologies) and plated on mTeSR media plus ROCK inhibitor (STEMCELL Technologies) for the first 24 h, then changed to mTeSR media. Half of cells from a fully confluent 6-well plate were frozen in 1 ml 90% FBS (Life Technologies)+10% DMSO (Sigma).


Targeting: 6×106 CA1 hES cells were transfected by Neon protocol 14 with 24 ug DNA (Target Vector: pX330-hCdkTK-A=18 ug:6 ug). After transfection, cells were plated on four 10-cm plates. G418 and/or puromycin selection was started 48h after transfection. Independent colonies were picked to 96-well plates. Each plate was duplicated for further growth and genotyping (SEQ ID NOs: 37, 38, 39 and 40). PCR-positive clones were expanded, frozen to multiple vials and genotyped with southern blotting.


Excision of the selection cassette: ALINK-targeted ES clones were transfected with hyPBase or pCAGGs-NLS-Cre-IRES-Puromycin and plated in a 6-well plate. When cells reached confluence in 6-well plates, cells were suspended in Hanks Balanced Salt Solution (HBSS) (Ca2+/Mg2+ Free) (25 mM HEPES pH7.0, 1% Fetal Calf Serum), and mCherry-positive cells were sorted to a 96-well plate using an ASTRIOS EQ cell sorter (Beckman Coulter).


Homozygous Targeting: Homozygous targeting can be achieved by the same way as in the mouse system or by transfecting mCherry and eGFP human target vector III plus pX330-hCdkTK-A or pX459-hCdkTK-A followed by FACS sorting for mCherry-and-eGFP double-positive cells.


Teratoma Assay


Matrigel Matrix High Concentration (Corning) was diluted 1:3 with cold DMEM media on ice. 5-10×106 cells were suspended into 100 ul of 66% DMEM+33% Matrigel media and injected subcutaneously into either or both dorsal flanks of B6N mice (for mouse C2 ES cells) and NOD-SCID mice (for human ES cells). Teratomas formed 2-4 weeks after injection. Teratoma size was measured by caliper, and teratoma volume was calculated using the formula V=(L×W×H)π/6. GCV/PBS treatment was performed by daily injection with 50 mg/kg into the peritoneal cavity with different treatment durations. At the end of treatment, mice were sacrificed and tumors were dissected and fixed in 4% paraformaldehyde for histology analysis.


Mammary Gland Tumor Assay


Chimeras of Cdk1+/+, +/loxp-alink mouse C2 ES and CD-1 backgrounds were generated through diploid aggregation, and then were bred with B6N WT mice to generate Cdk1+/+, +/loxp-alink mice through germline transmission. Cdk1+/+, +/loxp-alink mice were bred with Ella-Cre mice to generate Cdk1+/+, +/alink mice. Cdk1+/+, +/alink mice were then bred with MMTV-PyMT mice (Guy et al., 1992) to get double-positive pups with mammary gland tumors and ALINK modification. Mammary gland tumors with fail-safe modification were isolated, cut into 1 mm3 pieces, and transplanted into the 4th mammary gland of wild-type B6N females. GCV/PBS treatment was injected every other day at the dosage of 50 mg/kg into the peritoneal cavity with different treatment durations. Mammary gland tumor size was measured by calipers and calculated with the formula V=Length*Width*Height*π/6.


Neuronal Progenitor Vs. Neuron Killing Assay


Cdk1+/+, +/alink human CA1 ES cells were differentiated to neural epithelial progenitor cells (NEPs). NEPs were subsequently cultured under conditions for differentiation into neurons, thereby generating a mixed culture of non-dividing neurons and dividing NEPs, which were characterized by immunostaining of DAPI, Ki67 and Sox2. GCV (10 uM) was provided to the mixed culture every other day for 20 days. Then, GCV was withdrawn from culture for 4 days before cells were fixed by 4% PFA. Fixed cells were immunostained for proliferation marker Ki67 to check whether all the leftover cells have exited cell cycle, and mature neutron marker beta-TublinIII.


Results


The mouse Cdk1 genomic locus is shown in FIG. 2a. Two vectors targeting murine Cdk1 were generated (FIGS. 2B and D), each configured to modify the 3′UTR of the Cdk1 gene (FIG. 2A) by replacing the STOP codon of the last exon with an F2A (Szymczak et al., 2004) sequence followed by an enhanced HSV-TK (TK.007 (Preuß et al., 2010)) gene connected to an mCherry reporter with a T2A (Szymczak et al., 2004) sequence.


Referring to FIG. 2B and mouse target vector I, the PGK-neo-pA selectable marker (necessary for targeting) was inserted into the TK.007 open-reading-frame with a piggyBac transposon, interrupting TK expression. The piggyBac transposon insertion was designed such that transposon removal restored the normal ORF of TK.007, resulting in expression of functional thymidine kinase (FIG. 2C).


Referring to FIG. 2D and mouse target vector II, the neo cassette was loxP-flanked and inserted between the F2A and TK.007.


Target vectors I and II had short (˜800 bp) homology arms, which were sufficient for CRISPRs assisted homologous recombination targeting and made the PCR genotyping for identifying targeting events easy and reliable. The CRISPRs facilitated high targeting frequency at 40% PCR-positive of drug-resistant clones (FIG. 3D).


Both the piggyBac-inserted and the loxP-flanked neo cassettes were removed by transient expression of the piggyBac transposase and Cre recombinase, respectively, resulting in cell lines comprising alleles shown in FIGS. 2C and 2E, respectively. Referring to FIG. 2E, the remaining loxP site was in frame with TK and added 13 amino acids to the N-terminus of TK. The TK functionality test (GCV killing) proved that this N-terminus insertion did not interfere with TK function.


Referring to FIG. 4, assisted with CRISPR-Cas9 technology, homozygous ALINK can also be generated efficiently in two different human ES cell lines, CA1 and H1 (Adewumi et al., 2007).


Referring to FIGS. 5A and 5C, the data indicate that: i) the TK.007 insertion into the 3′UTR of Cdk1 does not interfere with Cdk1 expression; ii) the ALINK-modified homozygous mouse C2 ES cells properly self-renew under ES cell conditions and differentiate in vivo and form complex teratomas; iii) the ALINK-modified homozygous human CA1 ES cells properly self-renew under ES cell conditions and differentiate in vivo and form complex teratomas.


Referring to FIG. 6, the data indicate that: i) TK.007 is properly expressed; GCV treatment of undifferentiated ES cells ablates both homozygously- and heterozygously-modified cells (FIG. 6A); and ii) the T2A-linked mCherry is constitutively expressed in ES cells (FIG. 6B).


Referring to FIG. 7A, the data indicate that in hosts comprising ALINK-modified cell grafts, GCV treatment of subcutaneous teratomas comprising the ALINK-modified ES cells stops teratoma growth by ablating dividing cells. GCV treatment did not affect quiescent cells of the teratoma. A brief (3 week) GCV treatment period of the recipient was sufficient to render the teratomas dormant. Referring to FIG. 7B, in NOD scid gamma mouse hosts comprising ALINK-modified human cell grafts, two rounds of GCV treatment (1st round 15 days+2nd round 40 days) rendered the teratomas to dormancy.


Referring to FIG. 7C, in B6N hosts comprising ALINK-modified MMTV-PyMT-transformed mammary epithelial tumorigenic cell grafts, GCV treatment was able to render the mammary gland tumors to dormancy.


Referring to FIGS. 7D-F, in a mixed culture of non-dividing neurons and dividing NEPs, all cells having been derived from Cdk1+/+, +/alink human CA1 ES cells, GCV killed the dividing NEPs but did not kill the non-dividing neurons.


In an embodiment, it is contemplated that one or more dividing cells could escape GCV-mediated ablation if an inactivating mutation were to occur in the HSV-TK component of the CDL-HSV-TK transcriptional link. To address the probability of cell escape, the inventors considered the general mutation rate per cell division (i.e., 10−6) and determined that the expected number of cell divisions required to create 1 mutant cell would be 16 in cells comprising a heterozygous Cdk1-HSV-TK transcriptional link, and 30 cell divisions in cells comprising a homozygous Cdk1-HSV-TK transcriptional link. This means that if a single heterozygous ALINK-modified cell is expanded to 216 (i.e., 65,000 cells) and a single homozygous ALINK-modified cell is expanded to 230 (i.e., 1 billion cells), then an average of one mutant cell comprising lost HSV-TK activity per heterozygous and homozygous cell population would be generated (FIG. 8). Accordingly, the inventors have determined that homozygous ALINK-modified cells would be very safe for use in cell-based therapies. Another way of calculating the level of safety of cell therapy was presented above.


Example 2: Generation of EARC-Modified Mouse ES Cells in the Cdk1 Locus

In Example 2, construction of EARC (dox-bridge) vectors targeting Cdk1 and use of same to control cell division in mouse ES cells is described. In this example, Cdk1/CDK1 is the CDL, which is targeted with an inducible gene expression system, wherein a dox-bridge is inserted and doxycycline induces expression of the CDL.


As described above, Cdk1/CDK1 is expressed in all mitotically active (i.e., dividing) cells. In cells modified to comprise an EARC (dox-bridge) insertion at the Cdk1 locus, cell division is only possible in the presence of the inducer (doxycycline), which permits expression of Cdk1. Thus, cell division of EARC-modified mitotically active cells can be eliminated in the absence of doxycycline.


In Example 2, dox-bridge insertion into the 5′UTR of the Cdk1 gene was achieved by homologous recombination knock-in technology.


Methods


Construction of EARC Targeting Vector Comprising a Dox-Bridge


A fragment containing an rTTA coding sequence (SEQ ID NO: 41) followed by a 3×SV40 pA signal was amplified by PCR from a pPB-CAGG-rtta plasmid, using primers containing a lox71 site added at the 5′ of the rTTA (rtta3xpaFrw1 (SEQ ID NO: 63), rtta3xpaRev1(SEQ ID NO: 64)). This fragment was subcloned into a pGemT plasmid, to generate pGem-bridge-step1. Subsequently, a SacII fragment containing a TetO promoter (SEQ ID NO: 42) (derived from pPB-TetO-IRES-mCherry) was cloned into the SacII site of the pGem-bridge-step1, generating a pGem-bridge-step2. The final element of the bridge was cloned by inserting a BamHI IRES-Puromycin fragment (SEQ ID NO: 43) into the BamHI site of the pGem-bridge-step2, generating a pGem-bridge-step3. The 5′ homology arm was cloned by PCR-amplifying a 900 bp fragment (SEQ ID NO: 44) from C57/B6 genomic DNA (primers cdk5FrwPst (SEQ ID NO: 45) and cdk5RevSpe (SEQ ID NO: 46) and cloning it into SbfI and SpeI of the pGem-bridge-step3. Similarly, the 3′ homology arm (900 bp) (SEQ ID NO: 47) was amplified by PCR using primers dkex3_5′FSpe (SEQ ID NO: 48), cdkex3_3lox (SEQ ID NO: 49) and cloned into SphI and NcoI to generate a final targeting vector, referred to as pBridge (SEQ ID NO: 148).


Construction of CRISPR/Cas9 Plasmids


A double-nickase strategy was chosen to minimize the possibility of off-target mutations. Guide RNA sequences (SEQ ID NOs: 50, 51, 52 and 53) were cloned into pX335 (obtained from Addgene, according to the suggested protocol) (Ran et al., 2013).


Generation of EARC-Modified Mouse ES Cells


Mouse ES cell culture: All genetic manipulations were performed on a C57BL/6N mouse ES cell line previously characterized (C2) (Gertsenstein et al., 2010). Mouse ES cells were grown in media based on high-glucose DMEM (Invitrogen), supplemented with 15% ES cell-grade FBS (Gibco), 0.1 mM 2-mEARCaptophenol, 2 mM L-glutamine, 1 mM sodium pyruvate, 0.1 mM non-essential amino acids, and 2,000 units/ml leukemia inhibitory factor (LIF). Cells were maintained at 37° C. in 5% CO2 on mitomycin C-treated mouse embryonic fibroblasts (MEFs).


Targeting: Plasmids containing the CRISPR/Cas9 components (pX335-cdk-ex3A (SEQ ID NO: 151) and px335-cdk-ex3B (SEQ ID NO: 152)) and the targeting plasmid (pBridge; SEQ ID NO: 148) were co-transfected in mouse ES cells using FuGENE HD (Clontech), according to the manufacturer's instructions, using a FuGENE:DNA ratio of 8:2, (2 μg total DNA: 250 ng for each pX330 and 1500 ng for pBridge). Typical transfection was performed on 3×105 cells, plated on 35 mm plates. Upon transfection, doxycycline was added to the media to a final concentration of 1 μg/ml. 2 days following transfection, cells were plated on a 100 mm plate and selection was applied with 1 μg/ml of puromycin. Puromycin-resistant colonies were picked 8-10 days after start of selection and maintained in 96 well plates until PCR-screening.


Genotyping: DNA was extracted from ES cells directly in 96 well plates according to (Nagy et al., 2003). Clones positive for correct insertion by homologous recombination of pBridge in the 5′ of the Cdk1 gene were screened by PCR using primers spanning the 5′ and 3′ homology arms (primers rttaRev (SEQ ID NO: 54), ex3_5scr (SEQ ID NO: 55) for the 5′ arm, primers CMVforw (SEQ ID NO: 56), ex3_3scr (SEQ ID NO: 57) for the 3′ arm).


Targeted cell growth: F3-bridge targeted cells were trypsinized and plated on gelatinized 24 well plates at a density of 5×104 cells per well. Starting one day after plating, cell counting was performed by trypsinizing 3 wells for each condition and counting live cells using a Countess automated cell counter (Life Technologies). Doxycycline was removed or reduced to 0.05 ng/ml 2 days after plating and live cells were counted every day up to 18 days in the different conditions.


Cre-excision: F3-bridge cells (grown in Dox+ media) were trypsinized and transfected with 2 μg of a plasmid expressing Cre (pCAGG-NLS-Cre). Transfection was performed using JetPrime (Polyplus) according to the manufacturer's protocol. After transfection, doxycycline was removed and colonies were trypsinized and expanded as a pool.


Quantitative PCR: Total RNA was extracted from cells treated for 2 days with 1 μg/ml and 0 μg/ml of Dox using the GeneElute total RNA miniprep kit (Sigma) according to the manufacturer's protocol. cDNA was generated by reverse transcription of 1 μg of RNA using the QuantiTect reverse transcription kit (Qiagen), according to the manufacturer's protocol. Real-time qPCR were set up in a BioRad CFX thermocycler, using SensiFast-SYBR qPCR mix (Bioline). The primers used were: qpercdk1_F (SEQ ID NO: 65), qpercdk1_R (SEQ ID NO:66) and actBf (SEQ ID NO: 67), actBr (SEQ ID NO: 68). Results were analyzed with the ΔΔCT method and normalized for beta-actin.


Results


Referring to FIG. 9, the dox-bridge target vector, depicted in FIG. 9A, was used to generate three targeted C2 mouse ES cell lines (FIG. 9B). One of these cell lines was found to be a homozygous targeted line (3F in FIG. 9B) comprising a dox-bridge inserted by homologous recombination into the 5′UTR of both alleles of Cdk1.


As expected, this ES cell line grows only in the presence of doxycycline. In the presence of doxycycline, the Cdk1 promoter activity produced rtTA binds to TRE and initiates transcription of the Cdk1. Similarly to the 3′ modification, the dox-bridge may be inserted into the 5′UTR into both alleles of Cdk1, to ensure that the CDL expression could occur only through EARC. An alternative is to generate null mutations in all the remaining, non-EARC modified alleles of CDL.


Withdrawal of doxycycline resulted in complete elimination of mitotically active ES cells within 5 days (FIG. 10). Lowering the doxycycline concentration by 20× (50 ng/ml) compared to the concentration used for derivation and maintenance of the doc-bridged cell line, allowed some cells/colonies to survive the 5 days period (FIG. 11).


Referring to FIG. 12, the dox-bridge was removable with a Cre recombinase mediated excision of the segment between the two lox71 sites, which restore the original endogenous expression regulation of the allele and rescues the cell lethality from the lack of doxycycline. These data indicate that the dox-bridge was working in the cells as predicted.


Referring to FIG. 13, the inventors determined how doxycycline withdrawal affected elimination of the dox-bridge ES cells by measuring cell growth in the presence and absent of doxycycline. ES cells in the presence of doxycycline grew exponentially, indicating their normal growth. In contrast, upon withdrawal of doxycycline (Day 1) cells grew for only two days and then cells death began until no live cells were present on Day 9. A 20× lower doxycycline concentration (50 ng/ml) provided after an initial 3 days of cell growth was sufficient to maintain a constant number of cells on the plates for at least five days (FIG. 13, light blue line). When the normal concentration of doxycycline was added back to the plate on day 10, cells started growing again as normal ES cells.


It is contemplated that dividing cells could escape EARC (dox-bridge)-modification of Cdk1 when grown in media lacking doxycycline. To address the probability of cell escape, EARC (dox-bridge)-modified mouse ES cells were grown up to 100,000,000 cells/plate on ten plates in medium containing doxycycline. 300 GFP-positive wild-type ES cells (sentinels) were then mixed into each 10 plate of modified ES cells and doxycycline was withdrawn from the culture medium. Only GFP positive colonies were recovered (FIG. 14) indicating that there were no escapee dox-bridged ES cells among the 100,000,000 cells in the culture. Accordingly, the inventors have determined that EARC (dox-bridge)-modified ES cells would add an additional level of safety to ALINK modification for certain cell therapy applications, because loss of the dox-bridge is unlikely to occur by mutation and cell division is not possible in the absence of the inducer (doxycycline) due to the block of CDL expression.


Referring to FIG. 15, the effect of high doxycycline concentration (10 μg/ml) on the growth of dox-bridged ES cells was examined. In the presence of high concentration doxycycline, the growth rate of dox-bridged ES cells slowed to a rate similar to that of cells grown in low concentration doxycycline. These data suggest that there is a range of doxycycline concentrations that may permit optimal Cdk1 expression for wild-type cell-like proliferation.


Example 3: Generation of EARC-ALINK Modified Cells in the CDK1 Locus (Mouse and Human)

In Example 3, construction of EARC (dox-bridge) vectors targeting CDK1 and use of same to control cell division in both mouse and human ALINK-modified ES cells is described. In this example, Cdk1/CDK1 is the CDL, the dox-bridge is the EARC, and HSV-TK is the ALINK. CDL Cdk1 is modified with both EARC and ALINK systems in the homozygous form, wherein doxycycline is required to induce expression of the CDL, and wherein doxycycline and GCV together provide a way of killing the modified proliferating cells.


In Example 3, dox-bridge insertion into the 5′UTR of the CDK1 gene was achieved by homologous recombination knock-in technology.


Methods


Construction of mouse EARC targeting vector, CRISPR/Cas9 plasmids for mouse targeting are the same as in Example 2. Targeting and genotyping methods are also the same as described in Example 2 except that instead of C2 WT cells, Cdk1(TK/TK) cells generated in Example 1 (FIG. 3A-3G) were used for transfection.


Construction of EARC Targeting Vector Comprising a Dox-Bridge for Human CDK1


The 5′ homology arm (SEQ ID NO: 69) was cloned by PCR-amplifying a 981 bp fragment from CA1 genomic DNA (primers hcdk5′F (SEQ ID NO: 70) and hcdk5′R (SEQ ID NO: 71) and cloning it into SbfI of the pGem-bridge-step3. Similarly, the 3′ homology arm (943 bp; SEQ ID NO: 72) was amplified by PCR using primers hcdk3′F (SEQ ID NO: 73) and hcdk3′R (SEQ ID NO: 74) and cloned into SphI and NcoI to generate a final targeting vector, referred to as pBridge-hCdk1 (SEQ ID NO: 75).


Construction of CRISPR/Cas9 Plasmids for Human Targeting


Guide RNA (hCdk1A_up (SEQ ID NO: 76), hCdk1A_low (SEQ ID NO: 77), hCdk1B_up (SEQ ID NO: 78), hCdk1B_low (SEQ ID NO: 79)) were cloned in to pX335 (SEQ ID NO: 149) and pX330 (SEQ ID NO: 150) to generate pX335-1A (SEQ ID NO: 80), pX335-1B (SEQ ID NO: 81) and pX330-1B (SEQ ID NO: 82).


Generation of EARC-Modified Human ES Cells


Targeting: 2×106 CA1 Cdk1(TK/TK) (i.e., the cell product described in FIGS. 4A-4F) hES cells were transfected by Neon protocol 14 with 8 ug DNA (Target Vector: pX330-hCdkTK-A=6 ug:2 ug). After transfection, cells were plated on four 10-cm plates. Upon transfection, doxycycline was added to the media to a final concentration of 1 μg/ml. 2 days following transfection, selection was applied with 0.75 μg/ml of puromycin. Puromycin-resistant colonies were picked to 96-well plates, duplicated for further growth and genotyping with primers (hCdk1Br-5HAgen_F1 (SEQ ID NO: 83), rtTA_rev_1 (SEQ ID NO: 84), mCMV_F (SEQ ID NO:85), hCdk1Br-3HAgen_R1 (SEQ ID NO: 86)).


Results


Referring to FIG. 16A, the mouse dox-bridge target vector, pBridge was used to target mouse cell products generated in Example 1, Cdk1(TK/TK), generating mouse Cdk1earc/earc,alink/alink cells. Nine Cdk1earc/earc,alink/alink clones were generated by one-shot transfection (FIG. 16B).


Referring to FIG. 5B, the data indicate that the EARC-and-ALINK-modified homozygous mouse C2 ES Cdk1earc/earc,alink/alink cells properly self-renewed under ES cell conditions, differentiated in vivo, and formed complex teratomas.


Referring to FIG. 17A, the human dox-bridge target vector, pBridge-hCdk1 was used to target human CA1 cell products generated in Example 1, Cdk1(TK/TK), generating human Cdk1earc/earc,alink/alink cells. At least Cdk1earc/earc,alink/alink CA1 clones were generated by one-shot transfection (FIG. 17B).


Example 4: Generation of EARC-Modified Mouse ES Cells in the Top2a Locus

In Example 4, construction of EARC (dox-bridge) vectors targeting Top2a and use of same to control cell division in mouse ES cells is described. In this example, Top2a/TOP2A is the CDL, which is targeted with an inducible gene expression system, wherein a dox-bridge is inserted and doxycycline induces expression of the CDL.


As described above, Top2a/TOP2A is expressed in all mitotically active (i.e., dividing) cells. In cells modified to comprise an EARC (dox-bridge) insertion at the Top2a locus, cell division is only possible in the presence of the inducer (doxycycline), which permits expression of Top2a. Thus, cell division of EARC-modified mitotically active cells can be eliminated in the absence of doxycycline.


In Example 4, dox-bridge insertion into the 5′UTR of the Top2a gene was achieved by homologous recombination knock-in technology.


Methods


Construction of EARC Targeting Vector Comprising a Dox-Bridge for Top2a


The 5′ homology arm (SEQ ID NO: 87) was cloned by PCR-amplifying a 870 bp fragment from C57/B6 genomic DNA (primers Top5F (SEQ ID NO: 88) and Top5R (SEQ ID NO: 89) and cloning it into SbfI and SpeI of the pGem-bridge-step3. Similarly, the 3′ homology arm (818 bp; SEQ ID NO: 90) was amplified by PCR using primers Top3F (SEQ ID NO: 91), Top3R (SEQ ID NO: 92) and cloned into SphI and NcoI to generate a final targeting vector, referred to as pBridge-Top2a (SEQ ID NO: 93).


Construction of CRISPR/Cas9 Plasmids


A double-nickase strategy was chosen to minimize the possibility of off-target mutations. Guide RNA sequences were cloned into pX335 (Addgene) using oligos: TOP2A1 BF (SEQ ID NO: 94), TOP2A1BR (SEQ ID NO: 95), TOP2A1AF (SEQ ID NO: 96), TOP2A1AR (SEQ ID NO: 97), according to the suggested protocol (Ran et al., 2013), generating the CRISPR vectors pX335-Top2aA (SEQ ID NO: 98) and px335-Top2aB (SEQ ID NO: 99).


Generation of EARC-Modified Mouse ES Cells


Mouse ES cell culture: All genetic manipulations were performed on a C57/B6 mouse ES cell line previously characterized (C2) (Gertsenstein et al., 2010). Mouse ES cells were grown in media based on high-glucose DMEM (Invitrogen), supplemented with 15% ES cell-grade FBS (Gibco), 0.1 mM 2-mEARCaptophenol, 2 mM L-glutamine, 1 mM sodium pyruvate, 0.1 mM non-essential amino acids, and 2,000 units/ml leukemia inhibitory factor (LIF). Cells were maintained at 37° C. in 5% CO2 on mitomycin C-treated mouse embryonic fibroblasts (MEFs).


Targeting: Plasmids containing the CRISPR/Cas9 components (pX335-Top2aA (SEQ ID NO: 98) and px335-Top2aB (SEQ ID NO: 99)) and the targeting plasmid (pBridge-Top2a (SEQ ID NO: 93)) were co-transfected in mouse ES cells using FuGENE HD (Clontech), according to the manufacturer's instructions, using a FuGENE:DNA ratio of 8:2, (2 μg total DNA: 250 ng for each pX335 and 1500 ng for pBridge-Top2a). Typical transfection was performed on 3×105 cells, plated on 35 mm plates. Upon transfection, doxycycline was added to the media to a final concentration of 1 μg/ml. 2 days following transfection, cells were plated on a 100 mm plate and selection was applied with 1 μg/ml of puromycin. Puromycin-resistant colonies were picked 8-10 days after start of selection and maintained in 96 well plates until PCR-screening.


Genotyping: DNA was extracted from ES cells directly in 96 well plates according to (Nagy et al., 2003). Clones positive for correct insertion by homologous recombination of pBridge-Top2a in the 5′ of the Top2a gene were screened by PCR using primers spanning the 5′ and 3′ homology arms (primers rttaRev (SEQ ID NO: 54), top2a_5scrF (SEQ ID NO: 55) for the 5′ arm, primers CMVforw (SEQ ID NO: 56), top2a_3scrR (SEQ ID NO: 57) for the 3′ arm).


Targeted cell growth: Top2a homozygously-targeted cells were trypsinized and plated on gelatinized 24 well plates at a density of 5×104 cells per well. Starting one day after plating, cells were exposed to different Dox concentrations (1 μg/ml, 0.5 μg/ml, 0.05 μg/ml and 0 μg/ml), the plate was analyzed in a IncucyteZoom system (Essen Bioscience) by taking pictures every two hours for 3-4 days and measuring confluency.


Results


Referring to FIG. 18, the dox-bridge target vector, depicted in FIG. 18A, was used to generate several targeted C2 mouse ES cell lines (FIG. 18B). Nine of these cell lines were found to be homozygous targeted (FIG. 18B) comprising a dox-bridge inserted by homologous recombination into the 5′UTR of both alleles of Top2a.


As expected, this ES cell lines grows only in the presence of doxycycline. In the presence of doxycycline, the rtTA produced by Top2a promoter, binds to TRE and initiates transcription of the Top2a coding sequence. The dox-bridge may be inserted into the 5′UTR into both alleles of Top2a to ensure that the CDL expression could occur only through EARC. An alternative is to generate null mutations in all the remaining, non-EARC modified alleles of CDL.


Withdrawal of doxycycline resulted in complete elimination of mitotically active ES cells within 4 days (FIG. 19A).


Referring to FIG. 19B, the inventors determined how different concentrations of doxycycline affected proliferation of the dox-bridge ES cells by measuring cell growth for 4 days. ES cells in the presence of doxycycline grew exponentially, indicating their normal growth. In contrast, two days after doxycycline removal, cells growth of EARC-modified cells was completely arrested.


Example 5: Generation of EARC-Modified Mouse ES Cells in the Cenpa Locus

In Example 5, construction of EARC (dox-bridge) vectors targeting Cenpa and use of same to control cell division in mouse ES cells is described. In this example, Cenpa/CENPA is the CDL, which is targeted with an inducible gene expression system, wherein a dox-bridge is inserted and doxycycline induces expression of the CDL.


As described above, Cenpa/CENPA is expressed in all mitotically active (i.e., dividing) cells. In cells modified to comprise an EARC (dox-bridge) insertion at the Cenpa locus, cell division is only possible in the presence of the inducer (doxycycline), which permits expression of Cenpa. Thus, cell division of EARC-modified mitotically active cells can be eliminated in the absence of doxycycline.


In Example 5, dox-bridge insertion into the 5′UTR of the Cenpa gene was achieved by homologous recombination knock-in technology.


Methods


Construction of EARC Targeting Vector Comprising a Dox-Bridge


The 5′ homology arm (SEQ ID NO: 100) was cloned by PCR-amplifying a 874 bp fragment from C57/B6 genomic DNA (primers Cenpa5F (SEQ ID NO: 101) and Cenpa5R (SEQ ID NO: 102) and cloning it into SbfI and SpeI of the pGem-bridge-step3. Similarly, the 3′ homology arm (825 bp; SEQ ID NO: 103) was amplified by PCR using primers Cenpa3F (SEQ ID NO: 104), Cenpa3R (SEQ ID NO: 105) and cloned into SphI and NcoI to generate a final targeting vector, referred to as pBridge-Cenpa (SEQ ID NO: 106).


Construction of CRISPR/Cas9 Plasmids


A double-nickase strategy was chosen to minimize the possibility of off-target mutations. Guide RNA sequences were cloned into pX335 (Addgene) using oligos CenpaAF (SEQ ID NO: 107), CenpaAR (SEQ ID NO: 108), CenpaBF (SEQ ID NO: 109), CenpaBR (SEQ ID NO: 110), according to the suggested protocol (Ran et al., 2013), generating the CRISPR vectors pX335-CenpaA (SEQ ID NO: 111) and px335-CenpaB (SEQ ID NO: 112).


Generation of EARC-Modified Mouse ES Cells


Mouse ES Cell Culture: As in Example 4.


Targeting: Plasmids containing the CRISPR/Cas9 components (pX335-CenpaA; SEQ ID NO: 111, and px335-CenpaB; SEQ ID NO: 112) and the targeting plasmid (pBridge-Cenpa; SEQ ID NO: 106) were co-transfected in mouse ES cells using FuGENE HD (Clontech), as in Example 4.


Genotyping: DNA was extracted as in Example 4. Clones positive for correct insertion by homologous recombination of pBridge-Cenpa in the 5′ of the Cenpa gene were screened by PCR using primers spanning the 5′ and 3′ homology arms (primers rttaRev (SEQ ID NO: 54), Cenpa_5scr (SEQ ID NO: 113) for the 5′ arm, primers CMVforw (SEQ ID NO: 114), Cenpa_3scr (SEQ ID NO: 115) for the 3′ arm).


Targeted cell growth: Cenpa homozygously-targeted cells were trypsinized and plated on gelatinized 24 well plates at a density of 5×104 cells per well. Starting one day after plating, cells were exposed to different Dox concentrations (1 μg/ml, 0.5 μg/ml, 0.05 μg/ml and 0 μg/ml), the plate was analyzed in a IncucyteZoom system (Essen Bioscience) by taking pictures every two hours for 3-4 days and measuring confluency.


Quantitative PCR: Total RNA was extracted from cells treated for 2 days with 1 μg/ml and 0 μg/ml of Dox using the GeneElute total RNA miniprep kit (Sigma) according to the manufacturer's protocol. cDNA was generated by reverse transcription of 1 μg of RNA using the QuantiTect reverse transcription kit (Qiagen), according to the manufacturer's protocol. Real-time qPCR were set up in a BioRad CFX thermocycler, using SensiFast-SYBR qPCR mix (Bioline). The primers used were: qpercenpa_F (SEQ ID NO: 116), qpercenpa_R (SEQ ID NO: 117) and actBf (SEQ ID NO: 67), actBr (SEQ ID NO: 68). Results were analyzed with the ΔΔCT method and normalized for beta-actin.


Results


Referring to FIG. 20, the dox-bridge target vector, depicted in FIG. 20A, was used to generate several targeted C2 mouse ES cell lines (FIG. 20B). Six of these cells were found to have a correct insertion at the 5′ and 3′, and at least one clone (Cenpa #4), was found to have homozygous targeting (FIG. 20B) comprising a dox-bridge inserted by homologous recombination into the 5′UTR of both alleles of Cenpa.


As expected, this ES cell lines grows only in the presence of doxycycline. In the presence of doxycycline, the rtTA produced by Cenpa promoter, binds to TRE and initiates transcription of the Cenpa coding sequence. The dox-bridge may be inserted into the 5′UTR into both alleles of Cenpa, to ensure that the CDL expression could occur only through EARC. An alternative is to generate null mutations in all the remaining, non-EARC modified alleles of CDL.


Withdrawal of doxycycline resulted in complete elimination of mitotically active ES cells within 4 days (FIG. 21A).


Referring to FIG. 21B, the inventors determined by qPCR the Cenpa gene expression level in Cenpa-EARC cells with Dox and after 2 days of Dox removal, and compared it to the expression level in wild type mouse ES cells (C2). As expected Cenpa expression level is greatly reduced in Cenpa-EARC cells without Dox for 2 days.


Referring to FIG. 22, the inventors determined how different concentrations of doxycycline affected proliferation of the dox-bridge ES cells by measuring cell growth for 4 days. ES cells in the presence of doxycycline grew exponentially, indicating their normal growth. In contrast, 80 hours after doxycycline removal, cells growth was completely arrested.


Example 6: Generation of EARC-Modified Mouse ES Cells in the Birc5 Locus

In Example 6, construction of EARC (dox-bridge) vectors targeting Birc5 and use of same to control cell division in mouse ES cells is described. In this example, Birc5/BIRC5 is the CDL, which is targeted with an inducible gene expression system, wherein a dox-bridge is inserted and doxycycline induces expression of the CDL.


As described above, Birc5/BIRC5 is expressed in all mitotically active (i.e., dividing) cells. In cells modified to comprise an EARC (dox-bridge) insertion at the Birc5 locus, cell division is only possible in the presence of the inducer (doxycycline), which permits expression of Birc5. Thus, cell division of EARC-modified mitotically active cells can be eliminated in the absence of doxycycline.


In Example 6, dox-bridge insertion into the 5′UTR of the Birc5 gene was achieved by homologous recombination knock-in technology.


Methods


Construction of EARC Targeting Vector Comprising a Dox-Bridge


The 3′ homology arm (SEQ ID NO: 118) was cloned by PCR-amplifying a 775 bp fragment from C57/B6 genomic DNA (primers Birc3F (SEQ ID NO: 119), Birc3R (SEQ ID NO: 120)), and cloning it into SbfI and NcoI of the pGem-bridge-step3. Similarly, the 5′ homology arm (617 bp; SEQ ID NO: 121) was amplified by PCR using primers Birc5F (SEQ ID NO: 122) and Birc5R PstI (SEQ ID NO: 123) and SpeI and cloned into to generate a final targeting vector, referred to as pBridge-Birc5 (SEQ ID NO: 124).


Construction of CRISPR/Cas9 Plasmids


A double-nickase strategy was chosen to minimize the possibility of off-target mutations. Guide RNA sequences were cloned into pX335 (Addgene) using oligos Birc5AF (SEQ ID NO: 125), Birc5AR (SEQ ID NO: 126), Birc5BF (SEQ ID NO: 127), Birc5BR (SEQ ID NO: 128), according to the suggested protocol (Ran et al., 2013), generating the CRISPR vectors pX335-Birc5A (SEQ ID NO: 129) and px335-Birc5B (SEQ ID NO: 130).


Generation of EARC-Modified Mouse ES Cells


Mouse ES cell culture: As in Example 4.


Targeting: Plasmids containing the CRISPR/Cas9 components (pX335-Birc5A and px335-Birc5B) and the targeting plasmid (pBridge-Birc5) were co-transfected in mouse ES cells using FuGENE HD (Clontech), as in Example 4.


Genotyping: DNA was extracted as in Example 4. Clones positive for correct insertion by homologous recombination of pBridge-Birc5 in the 5′ of the Birc5 gene were screened by PCR using primers spanning the 5′ homology arm (primers rttaRev (SEQ ID NO: 54), Birc_5scrF (SEQ ID NO: 131)).


Targeted cell growth: Birc5 homozygously-targeted cells were trypsinized and plated on gelatinized 24 well plates at a density of 5×104 cells per well. Starting one day after plating, cells were exposed to different Dox concentrations (1 μg/ml, 0.5 μg/ml, 0.05 μg/ml and 0 μg/ml), the plate was analyzed in a IncucyteZoom system (Essen Bioscience) by taking pictures every two hours for 3-4 days and measuring confluence.


Quantitative PCR: Total RNA was extracted from cells treated for 2 days with 1 μg/ml and 0 μg/ml of Dox using the GeneElute total RNA miniprep kit (Sigma) according to the manufacturer's protocol. cDNA was generated by reverse transcription of 1 μg of RNA using the QuantiTect reverse transcription kit (Qiagen), according to the manufacturer's protocol. Real-time qPCR were set up in a BioRad CFX thermocycler, using SensiFast-SYBR qPCR mix (Bioline). The primers used were: qperbirc_F (SEQ ID NO: 132), qperbirc_R (SEQ ID NO: 133) and actBf (SEQ ID NO: 67), actBr (SEQ ID NO: 68). Results were analyzed with the ΔΔCT method and normalized for beta-actin.


Results


Referring to FIG. 23, the dox-bridge target vector, depicted in FIG. 23A, was used to generate targeted C2 mouse ES cell lines (FIG. 23B). Five clones were found to be correctly targeted (FIG. 23B) comprising a dox-bridge inserted by recombination into the 5′UTR of both alleles of Birc5. One of these clones was Birc #3, was found to stop growing or die in the absence of Dox.


As expected, this ES cell lines grows only in the presence of doxycycline. In the presence of doxycycline, the rtTA produced by Birc5 promoter, binds to TRE and initiates transcription of the Birc5 coding sequence. The dox-bridge may be inserted into the 5′UTR into both alleles of Birc5, to ensure that the CDL expression could occur only through EARC. An alternative is to generate null mutations in all the remaining, non-EARC modified alleles of CDL.


Withdrawal of doxycycline resulted in complete elimination of mitotically active ES cells within 4 days (FIG. 24A).


Referring to FIG. 24B, the inventors determined by qPCR the Birc5 gene expression level in Birc5-EARC cells with Dox and after 2 days of Dox removal, and compared it to the expression level in wild type mouse ES cells (C2). As expected Birc5 expression level is greatly reduced in Birc5-EARC cells without Dox for 2 days.


Referring to FIG. 25, the inventors determined how different concentrations of doxycycline affected proliferation of the dox-bridge ES cells by measuring cell growth for 4 days. ES cells in the presence of doxycycline grew exponentially, indicating their normal growth. In contrast, 50 hours after doxycycline removal, cells growth was completely arrested. Interestingly, it appears that lower Dox concentrations (0.5 and 0.05 μg/ml) promote better cell growth than a higher concentration (1 μg/ml).


Example 7: Generation of EARC-Modified Mouse ES Cells in the Eef2 Locus

In Example 7, construction of EARC (dox-bridge) vectors targeting Eef2 and use of same to control cell division in mouse ES cells is described. In this example, Eef2/EEF2 is the CDL, which is targeted with an inducible gene expression system, wherein a dox-bridge is inserted and doxycycline induces expression of the CDL.


As described above, Eef2/EEF2 is expressed in all mitotically active (i.e., dividing) cells. In cells modified to comprise an EARC (dox-bridge) insertion at the Eef2 locus, cell division is only possible in the presence of the inducer (doxycycline), which permits expression of Eef2. Thus, cell division of EARC-modified mitotically active cells can be eliminated in the absence of doxycycline.


In Example 7, dox-bridge insertion into the 5′UTR of the Eef2 gene was achieved by homologous recombination knock-in technology.


Methods


Construction of EARC Targeting Vector Comprising a Dox-Bridge


The 5′ homology arm was cloned by PCR-amplifying a 817 bp fragment (SEQ ID NO: 134) from C57/B6 genomic DNA (primers Eef2_5F (SEQ ID NO: 135) and Eef2_5R (SEQ ID NO: 136) and cloning it into SbfI and SpeI of the pGem-bridge-step3. Similarly, the 3′ homology arm (826 bp; SEQ ID NO: 137) was amplified by PCR using primers Eef2_3F (SEQ ID NO: 138), Eef2_3R (SEQ ID NO: 139) and cloned into SphI to generate a final targeting vector, referred to as pBridge-Eef2 (SEQ ID NO: 140).


Construction of CRISPR/Cas9 Plasmids


A double-nickase strategy was chosen to minimize the possibility of off-target mutations. Guide RNA sequences were cloned into pX335 (Addgene) using oligos Eef2aFWD (SEQ ID NO: 141), Eef2aREV (SEQ ID NO: 142), Eef2bFWD (SEQ ID NO: 143), Eef2bREV (SEQ ID NO: 144), according to the suggested protocol (Ran et al., 2013), generating the CRISPR vectors pX335-Eef2A (SEQ ID NO: 145) and px335-Eef2B (SEQ ID NO: 146).


Generation of EARC-Modified Mouse ES Cells


Mouse ES cell culture: As in Example 4.


Targeting: Plasmids containing the CRISPR/Cas9 components (pX335-Eef2A and px335-Eef2B) and the targeting plasmid (pBridge-Eef2) were co-transfected in mouse ES cells using FuGENE HD (Clontech), as in Example 4.


Genotyping: DNA was extracted as in Example 4. Clones positive for correct insertion by homologous recombination of pBridge-Eef2 in the 5′ of the Eef2 gene were screened by PCR using primers spanning the 5′ homology arm (primers rttaRev (SEQ ID NO: 54), Eef2_5scrF (SEQ ID NO: 147)).


Targeted cell growth: Eef2 homozygously-targeted cells were trypsinized and plated on gelatinized 24 well plates at a density of 5×104 cells per well. Starting one day after plating, cells were exposed to different Dox concentrations (1 μg/ml, 0.5 μg/ml, 0.05 μg/ml and 0 μg/ml), the plate was analyzed in a IncucyteZoom system (Essen Bioscience) by taking pictures every two hours for 3-4 days and measuring confluence.


Results


Referring to FIG. 26, the dox-bridge target vector, depicted in FIG. 26A, was used to generate several targeted C2 mouse ES cell lines (FIG. 26B). Nine of these cell lines was found to be correctly targeted (FIG. 26B) with at least one clone growing only in Dox-media.


As expected, this ES cell lines grows only in the presence of doxycycline. In the presence of doxycycline, the rtTA produced by Eef2 promoter, binds to TRE and initiates transcription of the Eef2 coding sequence. The dox-bridge may be inserted into the 5′UTR into both alleles of Eef2, to ensure that the CDL expression could occur only through EARC. An alternative is to generate null mutations in all the remaining, non-EARC modified alleles of CDL.


Withdrawal of doxycycline resulted in complete elimination of mitotically active ES cells within 4 days (FIG. 27).


Referring to FIG. 28, the inventors determined how different concentrations of doxycycline affected proliferation of the dox-bridge ES cells by measuring cell growth for 4 days. ES cells in the presence of doxycycline grew exponentially, indicating their normal growth. In contrast, without doxycycline cells completely failed to grow.


Although the disclosure has been described with reference to certain specific embodiments, various modifications thereof will be apparent to those skilled in the art. Any examples provided herein are included solely for the purpose of illustrating the disclosure and are not intended to limit the disclosure in any way. Any drawings provided herein are solely for the purpose of illustrating various aspects of the disclosure and are not intended to be drawn to scale or to limit the disclosure in any way. The scope of the claims appended hereto should not be limited by the preferred embodiments set forth in the above description, but should be given the broadest interpretation consistent with the present specification as a whole. The disclosures of all prior art recited herein are incorporated herein by reference in their entirety.









TABLE 2







Predicted CDLs (ID refers to EntrezGene identification number; CS score refers to the CRISPR score average provided in Wang et al.,


2015; function refers to the known or predicted function the locus, of predictions being based on GO terms, as set forth in the


Gene Ontology Consortium website http://geneontology.org/; functional category refers to 4 categories of cell functions based on


the GO term-predicted function; CDL (basis) refers to information that the inventors used to predict that a gene is a CDL, predictions


being based on CS score, available gene knockout (KO) data, gene function, and experimental data provided herein).















Name
ID
Name
ID
CS
Function
Functional
CDL



(mouse)
(mouse)
(human)
(human)
score
(GO term)
category
(basis)
Citation


















Actr8
56249
ACTR8
93973
−1.88
chromatin
Cell cycle
CS score,








remodeling

function


Alg11
207958
ALG11
440138
−1.27
dolichol-
Cell cycle
CS score,







linked







oligosaccharide

function







biosynthetic process


Anapc11
66156
ANAPC11
51529
−2.68
protein ubiquitination
Cell cycle
CS score,







involved in ubiquitin-

function







dependent protein







catabolic process


Anapc2
99152
ANAPC2
29882
−2.88
mitotic cell cycle
Cell cycle
CS score,
Wirth K G, et al.









mouse
Genes Dev. 2004









K.O.,
Jan. 1; 18(1): 88-98









function


Anapc4
52206
ANAPC4
29945
−1.79
regulation of mitotic
Cell cycle
CS score,







metaphase/anaphase

function







transition


Anapc5
59008
ANAPC5
51433
−1.66
mitotic cell cycle
Cell cycle
CS score,









function


Aurka
20878
AURKA
6790
−2.26
meiotic spindle
Cell cycle
CS score,
Sasai K, et al.







organization

mouse
Oncogene. 2008 Jul.









K.O.,
3; 27(29): 4122-7









function


Banf1
23825
BANF1
8815
−2.14
mitotic cell cycle
Cell cycle
CS score,









function


Birc5
11799
BIRC5
332
−2.24
regulation of signal
Cell cycle
CS score,
Uren A G et al. Curr







transduction

mouse
Biol. 2000 Nov.









K.O.,
2; 10(21): 1319-28









function


Bub3
12237
BUB3
9184
−3.15
mitotic sister
Cell cycle
CS score,
Kalitsis F, et al.







chromatid

mouse
Genes Dev. 2000







segregation

K.O.,
Sep.









function
15; 14(18): 2277-82


Casc5
76464
CASC5
57082
−1.16
mitotic cell cycle
Cell cycle
CS score,
Overbeek P A, et al.









mouse
MGI Direct Data









K.O.,
Submission. 2011









function


Ccna2
12428
CCNA2
890
−1.59
regulation of cyclin-
Cell cycle
CS score,
Kalaszczynska I, et







dependent protein

mouse
al. Cell. 2009 Jul.







serine/threonine

K.O.,
23; 138(2): 352-65







kinase activity

function


Ccnh
66671
CCNH
902
−2.01
regulation of cyclin-
Cell cycle
CS score.







dependent protein

function







serine/threonine







kinase activity


Cdc123
98828
CDC123
8872
−2.45
cell cycle
Cell cycle
CS score,









function


Cdc16
69957
CDC16
8881
−3.58
cell division
Cell cycle
CS score.









function


Cdc20
107995
CDC20
99
−2.97
mitotic cell cycle
Cell cycle
CS score,
Li M, et al. Mol Cell









mouse
Biol. 2007









K.O.,
May; 27(9): 3481-8









function


Cdc23
52563
CDC23
8697
−2.28
mitotic cell cycle
Cell cycle
CS score,









function


Cdk1
12534
CDK1
983
−2.44
cell cycle
Cell cycle
CS score,
Diril M K, et al. Proc









mouse
Natl Acad Sci USA.









K.O.,
2012 Mar.









function
6; 109(10): 3826-31


Cenpa
12615
CENPA
1058
−1.87
cell cycle
Cell cycle
CS score,
Howman E V, et al.









mouse
Proc Natl Acad Sci









K.O.,
USA. 2000 Feb.









function
1; 97(3): 1148-53


Cenpm
66570
CENPM
79019
−2.53
mitotic cell cycle
Cell cycle
CS score,









function


Chek1
12649
CHEK1
1111
−1.67
protein
Cell cycle
CS score,
Takai H, et al.







phosphorylation

mouse
Genes Dev. 2000









K.O.,
Jun. 15; 14(12): 1439-









function
47


Chmp2a
68953
CHMP2A
27243
−2.40
vacuolar transport
Cell cycle
CS score,









function


Ckap5
75786
CKAP5
9793
−2.94
G2/M transition of
Cell cycle
CS score,
Barbarese E, et al.







mitotic cell cycle

mouse
PLoS One.









K.O.,
2013; 8(8): e69989









function


Cltc
67300
CLTC
1213
−1.75
intracellular protein
Cell cycle
CS score,







transport

function


Cops5
26754
COPS5
10987
−1.75
protein deneddylation
Cell cycle
CS score,
Tian L, et al.









mouse
Oncogene. 2010









K.O.,
Nov.









function
18; 29(46): 6125-37


Dctn2
69654
DCTN2
10540
−1.48
G2/M transition of
Cell cycle
CS score,







mitotic cell cycle

function


Dctn3
53598
DCTN3
11258
−1.77
G2/M transition of
Cell cycle
CS score,







mitotic cell cycle

function


Dhfr
13361
DHFR
1719
−2.84
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Dtl
76843
DTL
51514
2.69
protein
Cell cycle
CS score,
Liu C L, et al. J Biol







polyubiquitination

mouse
Chem. 2007 Jan.









K.O.,
12; 282(2): 1109-18









function


Dync1h1
13424
DYNC1H1
1778
−3.44
G2/M transition of
Cell cycle
CS score,
Harada A, et al. J







mitotic cell cycle

mouse
Cell Biol. 1998 Apr.









K.O.,
6; 141(1): 51-9









function


Ecd
70601
ECD
11319
−3.18
regulation of
Cell cycle
CS score,







glycolytic process

function


Ect2
13605
ECT2
1894
−1.80
cell morphogenesis
Cell cycle
CS score,
Hansen J, et al.









mouse
Proc Natl Acad Sci









K.O.,
USA. 2003 Aug.









function
19; 100(17): 9918-22


Ep300
328572
EP300
2033
−2.04
G2/M transition of
Cell cycle
CS score,
Yao T P, et al. Cell.







mitotic cell cycle

mouse
1998 May









K.O.,
1; 93(3): 361-72









function


Ercc3
13872
ERCC3
2071
−2.10
nucleotide-
Cell cycle
CS score,
Andressoo J O, et







excision repair

mouse
al. Mol Cell Biol.









K.O.,
2009









function
March; 29(5): 1276-90


Espl1
105988
ESPL1
9700
−3.24
proteolysis
Cell cycle
CS score,
Wirth K G et al. J









mouse
Cell Biol. 2006 Mar.









K.O.,
13; 172(6): 847-60









function


Fntb
110606
FNTB
2342
−2.42
phototransduction,
Cell cycle
CS score,
Mijimolle N, et al.







visible light

mouse
Cancer Cell. 2005









K.O.,
April; 7(4): 313-24









function


Gadd45gip1
102060
GADD45GIP1
90480
−1.81
organelle
Cell cycle
CS score,
Kwon M C, et al.







organization

mouse
EMBO J. 2008 Feb.









K.O.,
20; 27(4): 642-53









function


Gins1
69270
GINS1
9837
−1.84
mitotic cell cycle
Cell cycle
CS score,
Ueno M, et al. Mol









mouse
Cell Biol. 2005









K.O.,
December; 25(23): 10528-









function
32


Gnb2l1
14694
GNB2L1
10399
−2.84
osteoblast
Cell cycle
CS score,







differentiation

function


Gspt1
14852
GSPT1
2935
−1.77
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Haus1
225745
HAUS1
115106
−1.92
spindle assembly
Cell cycle
CS score,









function


Haus3
231123
HAUS3
79441
−1.38
mitotic nuclear
Cell cycle
CS score,







division

function


Haus5
71909
HAUS5
23354
−2.55
spindle assembly
Cell cycle
CS score,









function


Haus8
76478
HAUS8
93323
−1.73
mitotic nuclear
Cell cycle
CS score,







division

function


Hdac3
15183
HDAC3
8841
−2.12
histone deacetylation
Cell cycle
CS score,
Bhaskara S, et al.









mouse
Mol Cell. 2008 Apr.









K.O.,
11; 30(1): 61-72









function


Kif11
16551
KIF11
3832
−3.23
microtubule-
Cell cycle
CS score,
Castillo A, et al.







based movement

mouse
Biochem Biophys









K.O.,
Res Commun. 2007









function
Jun. 8; 357(3): 694-9


Kif23
71819
KIF23
9493
−1.59
microtubule-
Cell cycle
CS score,







based movement

function


Kpnb1
16211
KPNB1
3837
−3.19
nucleocytoplasmic
Cell cycle
CS score,
Miura K, et al.







transport

mouse
Biochem Biophys









K.O.,
Res Commun. 2006









function
Mar. 3; 341(1): 132-8


Mastl
67121
MASTL
84930
−2.36
protein
Cell cycle
CS score,
Alvarez-Fernandez







phosphorylation

mouse
M, et al. Proc Natl









K.O.,
Acad Sci USA.









function
2013 Oct.










22; 110(43): 17374-9


Mau2
74549
MAU2
23383
−2.71
mitotic cell cycle
Cell cycle
CS score,
Smith T G, et al.









mouse
Genesis. 2014









K.O.,
July; 52(7): 687-94









function


Mcm3
17215
MCM3
4172
−2.52
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Mcm4
17217
MCM4
4173
−1.87
G1/S transition of
Cell cycle
CS score,
Shima N, et al. Nat







mitotic cell cycle

mouse
Genet. 2007









K.O.,
January; 39(1): 93-8









function


Mcm7
17220
MCM7
4176
−2.39
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Mnat1
17420
MNAT1
4331
−1.22
regulation of cyclin-
Cell cycle
CS score,
Rossi D J. et al.







dependent protein

mouse
EMBO J. 2001 Jun.







serine/threonine

K.O.,
1; 20(11): 2844-56







kinase activity

function


Mybbp1a
18432
MYBBP1A
10514
−2.17
osteoblast
Cell cycle
CS score,
Mori S, et al. PLoS







differentiation

mouse
One.









K.O.,
2012; 7(10): e39723









function


Ncapd2
68298
NCAPD2
9918
−2.03
mitotic chromosome
Cell cycle
CS score,







condensation

function


Ncaph
215387
NCAPH
23397
−2.33
mitotic chromosome
Cell cycle
CS score,
Nishide K, et al.







condensation

mouse
PLoS Genet. 2014









K.O.,
December; 10(12):









function
e1004847


Ndc80
67052
NDC80
10403
−2.98
attachment of mitotic
Cell cycle
CS score,







spindle microtubules

function







to kinetochore


Nle1
217011
NLE1
54475
−1.88
somitogenesis
Cell cycle
CS score,
Hentges K E, et al.









mouse
Gene Exor









K.O.,
Patterns. 2006









function
August; 6(6): 653-65


Nsl1
381318
NSL1
25936
−1.90
mitotic cell cycle
Cell cycle
CS score,









function


Nudc
18221
NUDC
10726
−1.93
mitotic cell cycle
Cell cycle
CS score,









function


Nuf2
66977
NUF2
83540
−1.78
mitotic nuclear
Cell cycle
CS score,







division

function


Nup133
234865
NUP133
55746
−2.26
mitotic cell cycle
Cell cycle
CS score,
Garcia-Garcia M J,









mouse
et al. Proc Natl









K.O.,
Acad Sci USA.









function
2005 Apr.










26; 102(17): 5913-9


Nup160
59015
NUP160
23279
−2.64
mitotic cell cycle
Cell cycle
CS score,









function


Nup188
227699
NUP188
23511
−1.16
mitotic cell cycle
Cell cycle
CS score,









function


Nup214
227720
NUP214
8021
−2.70
mitotic cell cycle
Cell cycle
CS score,
van Deursen J, et









mouse
al. EMBO J. 1996









K.O.,
Oct. 15; 15(20): 5574-









function
83


n/a
n/a
NUP62
23636
−2.35
mitotic cell cycle
Cell cycle
CS score,









function


Nup85
445007
NUP85
79902
−2.47
mitotic cell cycle
Cell cycle
CS score,









function


Orc3
50793
ORC3
23595
−1.67
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Pafah1b1
18472
PAFAH1B1
5048
−2.34
G2/M transition of
Cell cycle
CS score,
Cahana A, et al.







mitotic cell cycle

mouse
Proc Natl Acad Sci









K.O.,
USA. 2001 May









function
22; 98(11): 6429-34


Pcid2
234069
PCID2
55795
−1.98
negative regulation of
Cell cycle
CS score,







apoptotic process

function


Pfas
237823
PFAS
5198
−2.58
purine nucleotide
Cell cycle
CS score,







biosynthetic process

function


Phb2
12034
PHB2
11331
−2.98
protein import into
Cell cycle
CS score,
Park S E, et al. Mol







nucleus,

mouse
Cell Biol. 2005







translocation

K.O.,
March; 25(5): 1989-99









function


Pkmyt1
268930
PKMYT1
9088
−1.93
regulation of cyclin-
Cell cycle
CS score,







dependent protein

function







serine/threonine







kinase activity


Plk1
18817
PLK1
5347
−2.83
protein
Cell cycle
CS score,
Lu L Y, et al. Mol







phosphorylation

mouse
Cell Biol. 2008









K.O.,
November; 28(22): 6870-









function
6


Pmf1
67037
PMF1
11243
−2.15
mitotic cell cycle
Cell cycle
CS score,









function


Pole2
18974
POLE2
5427
−3.08
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Ppat
231327
PPAT
5471
−2.15
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Psma6
26443
PSMA6
5687
−3.51
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Psma7
26444
PSMA7
5688
−2.91
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Psmb1
19170
PSMB1
5689
−1.63
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Psmb4
19172
PSMB4
5692
−2.91
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Psmd12
66997
PSMD12
5718
−1.69
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Psmd13
23997
PSMD13
5719
−1.57
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Psmd14
59029
PSMD14
10213
−3.01
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Psmd7
17463
PSMD7
5713
−2.18
G1/S transition of
Cell cycle
CS score,
Soriano P, et al.







mitotic cell cycle

mouse
Genes Dev. 1987









K.O.,
June; 1(4): 366-75









function


Racgap1
26934
RACGAP1
29127
−1.94
mitotic spindle
Cell cycle
CS score,
Van de Putte T, et







assembly

mouse
al. Mech Dev. 2001









K.O.,
April; 102(1-2): 33-44









function


Rad21
19357
RAD21
5885
−2.12
mitotic cell cycle
Cell cycle
CS score,









function


Rae1
66679
RAE1
8480
−2.15
mitotic cell cycle
Cell cycle
CS score,
Babu J R. et al. J









mouse
Cell Biol. 2003 Feb.









K.O.,
3; 160(3): 341-53









function


Rcc1
100088
RCC1
1104
−2.91
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Rfc3
69263
RFC3
5983
−2.74
mitotic cell cycle
Cell cycle
CS score,









function


Rps27a
78294
RPS27A
6233
−2.74
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Rrm2
20135
RRM2
6241
−3.09
G1/S transition of
Cell cycle
CS score,







mitotic cell cycle

function


Sae1
56459
SAE1
10055
−2.08
cellular protein
Cell cycle
CS score,







modification process

function


Sec13
110379
SEC13
6396
−2.96
mitotic cell cycle
Cell cycle
CS score,









function


Smarcb1
20587
SMARCB1
6598
−1.98
chromatin
Cell cycle
CS score,
Guidi C J, et al. Mol







remodeling

mouse
Cell Biol. 2001 May









K.O.,
15; 21(10): 3598-603









function


Smc2
14211
SMC2
10592
−2.13
mitotic chromosome
Cell cycle
CS score,
Nishide K, et al.







condensation

mouse
PLoS Genet. 2014









K.O.,
December; 10(12): e10048









function
47


Smc4
70099
SMC2
10051
−1.47
chromosome
Cell cycle
CS score,







organization

function


Son
20658
SON
6651
−1.99
microtubule
Cell cycle
CS score,







cytoskeleton

function







organization


Spc24
67629
SPC24
147841
−2.83
mitotic cell cycle
Cell cycle
CS score,









function


Spc25
66442
SPC25
57405
−1.63
mitotic cell cycle
Cell cycle
CS score,









function


Terf2
21750
TERF2
7014
−2.17
telomere
Cell cycle
CS score,
Celli G B, et al. Nat







maintenance

mouse
Cell Biol. 2005









K.O.,
July; 7(7): 712-8









function


Tpx2
72119
TPX2
22974
−2.08
apoptotic process
Cell cycle
CS score,
Aguirre-Portoles C,









mouse
et al. Cancer Res.









K.O.,
2012 Mar.









function
15; 72(6): 1518-28


Tubg1
103733
TUBG1
7283
−2.08
microtubule
Cell cycle
CS score,
Yuba-Kubo A, et al.







nucleation

mouse
Dev Biol. 2005 Jun.









K.O.,
15; 282(2): 361-73









function


Tubgcp2
74237
TUBGCP2
10844
−2.78
microtubule
Cell cycle
CS score,







cytoskeleton

function







organization


Tubgcp5
233276
TUBGCP5
114791
−1.76
microtubule
Cell cycle
CS score,







cytoskeleton

function







organization


Tubgcp6
328580
TUBGCP6
85378
−1.52
microtubule
Cell cycle
CS score,







cytoskeleton

function







organization


Txnl4a
27366
TXNL4A
10907
−3.89
mitotic nuclear
Cell cycle
CS score,







division

function


Usp39
28035
USP39
10713
−2.85
spliceosomal
Cell cycle
CS score,







complex assembly

function


Wdr43
72515
WDR43
23160
−3.02
reproduction
Cell cycle
CS score,









function


Zfp830
66983
ZNF830
91603
−1.52
blastocyst growth
Cell cycle
CS score,
Houlard M, et al.









mouse
Cell Cycle. 2011









K.O.,
Jan. 1; 10(1): 108-17









function


Aatf
56321
AATF
26574
−1.46
cellular response to
DNA
CS score,
Thomas T, et al.







DNA damage
replication,
mouse
Dev Biol. 2000 Nov.







stimulus
DNA repair
K.O.,
15; 227(2): 324-42









function


Alyref
21681
ALYREF
10189
−1.92
regulation of DNA
DNA
CS score,







recombination
replication,
function








DNA repair


Brf2
66653
BRF2
55290
−2.30
DNA-
DNA
CS score,







templated transcription,
replication,
function







initiation
DNA repair


Cdc45
12544
CDC45
8318
−3.69
DNA replication
DNA
CS score,
Yoshida K, et al.







checkpoint
replication,
mouse
Mol Cell Biol. 2001








DNA repair
K.O.,
July; 21(14): 4598-603









function


Cdc6
23834
CDC6
990
−1.87
DNA replication
DNA
CS score,







initiation
replication,
function








DNA repair


Cdt1
67177
CDT1
81620
−2.74
DNA replication
DNA
CS score,







initiation
replication,
function








DNA repair


Cinp
67236
CINP
51550
−1.64
DNA replication
DNA
CS score,








replication,
function








DNA repair


Cirh1a
21771
CIRH1A
84916
−2.62
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Ddb1
13194
DDB1
1642
−2.14
nucleotide-
DNA
CS score,
Cang Y, et al. Cell.







excision repair, DNA
replication,
mouse
2006 Dec.







damage removal
DNA repair
K.O.,
1; 127(5): 929-40









function


Ercc2
13871
ERCC2
2068
−2.80
DNA duplex
DNA
CS score,
de Boer J, et al.







unwinding
replication,
mouse
Cancer Res. 1998








DNA repair
K.O.,
Jan. 1; 58(1): 89-94









function


Gabpb1
14391
GABPB1
2553
−1.74
transcription, DNA-
DNA
CS score,
Xue H H, et al. Mol







templated
replication,
mouse
Cell Biol. 2008








DNA repair
K.O.,
July; 28(13): 4300-9









function


Gtf2b
229906
GTF2B
2959
−2.76
regulation of
DNA
CS score,







transcription, DNA-
replication,
function







templated
DNA repair


Gtf2h4
14885
GTF2H4
2968
−1.93
nucleotide-
DNA
CS score,







excision repair, DNA
replication,
function







damage removal
DNA repair


Gtf3a
66596
GTF3A
2971
−2.25
regulation of
DNA
CS score,







transcription, DNA-
replication,
function







templated
DNA repair


Gtf3c1
233863
GTF3C1
2975
−2.45
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Gtf3c2
71752
GTF3C2
2976
−2.09
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Hinfp
102423
HINFP
25988
−2.35
DNA damage
DNA
CS score,
Xie R, et al. Proc







checkpoint
replication,
mouse
Natl Acad Sci USA.








DNA repair
K.O.,
2009 Jul. 9









function


n/a
n/a
HIST2H2AA3
8337
−1.71
DNA repair
DNA
CS score,








replication,
function








DNA repair


Ints3
229543
INTS3
65123
−3.14
DNA repair
DNA
CS score,








replication,
function








DNA repair


Kin
16588
KIN
22944
−1.99
DNA replication
DNA
CS score,








replication,
function








DNA repair


Mcm2
17216
MCM2
4171
−2.86
DNA replication
DNA
CS score,







initiation
replication,
function








DNA repair


Mcm6
17219
MCM6
4175
−1.55
DNA replication
DNA
CS score,








replication,
function








DNA repair


Mcrs1
51812
MCRS1
10445
−1.23
DNA repair
DNA
CS score,








replication,
function








DNA repair


Med11
66172
MED11
400569
−2.39
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Mtpap
67440
MTPAP
55149
−1.86
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Myc
17869
MYC
4609
−2.49
regulation of
DNA
CS score,
Trumpp A, et al.







transcription, DNA-
replication,
mouse
Nature. 2001 Dec.







templated
DNA repair
K.O.,
13; 414(6865): 768-









function
73


Ndnl2
66647
NDNL2
56160
−2.03
DNA repair
DNA
CS score,








replication,
function








DNA repair


Nol11
68979
NOL11
25926
−1.59
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Nol8
70930
NOL8
55035
−1.35
DNA replication
DNA
CS score,








replication,
function








DNA repair


Pcna
18538
PCNA
5111
−3.60
DNA replication
DNA
CS score,
Roa S, et al. Proc








replication,
mouse
Natl Acad Sci USA.








DNA repair
K.O.,
2008 Oct. 21;









function
105(42): 16248-53


Pola1
18968
POLA1
5422
−2.28
DNA-
DNA
CS score,







dependent DNA
replication,
function







replication
DNA repair


Pold2
18972
POLD2
5425
−2.51
DNA replication
DNA
CS score,








replication,
function








DNA repair


Pole
18973
POLE
5426
−2.90
DNA replication
DNA
CS score,








replication,
function








DNA repair


Polr1a
20019
POLR1A
25885
−2.62
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


n/a
n/a
POLR2J2
246721
−3.08
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Polr3a
218832
POLR3A
11128
−2.43
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Polr3c
74414
POLR3C
10623
−2.02
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Polr3h
78929
POLR3H
171568
−2.66
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Prmt1
15469
PRMT1
3276
−2.40
regulation of
DNA
CS score,
Pawlak M R, et al.







transcription, DNA-
replication,
mouse
Mol Cell Biol. 2000







templated
DNA repair
K.O.,
July; 20(13): 14859-69









function


Prmt5
27374
PRMT5
10419
−2.69
regulation of
DNA
CS score,
Tee W W, et al.







transcription, DNA-
replication,
mouse
Genes Dev. 2010







templated
DNA repair
K.O.,
Dec. 15; 24(24): 2772-7









function


Puf60
67959
PUF60
22827
−2.69
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Rad51
19361
RAD51
5888
−2.29
DNA repair
DNA
CS score,
Tsuzuki T, et al.








replication,
mouse
Proc Natl Acad Sci








DNA repair
K.O.,
USA. 1996 Jun.









function
25; 93(13): 6236-40


Rad51c
114714
RAD51C
5889
−1.62
DNA repair
DNA
CS score,
Smeenk G, et al.








replication,
mouse
Mutat Res. 2010 Jul.








DNA repair
K.O.,
7; 689(1-2): 50-58









function


Rbx1
56438
RBX1
9978
−2.19
DNA repair
DNA
CS score,
Tan M, et al. Proc








replication,
mouse
Natl Acad Sci USA.








DNA repair
K.O.,
2009 Apr.









function
14; 106(15): 6203-8


Rfc2
19718
RFC2
5982
−2.88
DNA-
DNA
CS score,







dependent DNA
replication,
function







replication
DNA repair


Rfc4
106344
RFC4
5984
−1.92
DNA-
DNA
CS score,







dependent DNA
replication,
function







replication
DNA repair


Rfc5
72151
RFC5
5985
−2.78
DNA-
DNA
CS score,







dependent DNA
replication,
function







replication
DNA repair


Rpa1
68275
RPA1
6117
−2.61
DNA replication
DNA
CS score,
Wang Y, et al. Nat








replication,
mouse
Genet. 2005








DNA repair
K.O.,
July; 37(7): 750-5









function


Rps3
27050
RPS3
6188
−2.75
DNA repair
DNA
CS score,








replication,
function








DNA repair


Rrm1
20133
RRM1
6240
−4.16
DNA replication
DNA
CS score,








replication,
function








DNA repair


Ruvbl1
56505
RUVBL1
8607
−3.26
DNA duplex
DNA
CS score,







unwinding
replication,
function








DNA repair


Ruvbl2
20174
RUVBL2
10856
−3.91
DNA repair
DNA
CS score,








replication,
function








DNA repair


Sap30bp
57230
SAP30BP
29115
−2.18
regulation of
DNA
CS score,







transcription, DNA-
replication,
function







templated
DNA repair


Smc1a
24061
SMC1A
8243
−2.76
DNA repair
DNA
CS score,








replication,
function








DNA repair


Smc3
13006
SMC3
9126
−3.22
DNA repair
DNA
CS score,
White J K, et al. Cell.








replication,
mouse
2013 Jul.








DNA repair
K.O.,
18; 154(2): 452-64









function


Snapc4
227644
SNAPC4
6621
−2.78
regulation of
DNA
CS score,







transcription, DNA-
replication,
function







templated
DNA repair


Snapc5
330959
SNAPC5
10302
−2.24
regulation of
DNA
CS score,







transcription, DNA-
replication,
function







templated
DNA repair


Snip1
76793
SNIP1
79753
−1.78
regulation of
DNA
CS score,







transcription, DNA-
replication,
function







templated
DNA repair


Srrt
83701
SRRT
51593
−2.18
transcription, DNA-
DNA
CS score,
Wilson M D, et al.







templated
replication,
mouse
Mol Cell Biol. 2008








DNA repair
K.O.,
March; 28(5): 1503-14









function


Ssrp1
20833
SSRP1
6749
−1.45
DNA replication
DNA
CS score,
Cao S, et al. 5








replication,
mouse
mouse embryos








DNA repair
K.O.,
Mol Cell Biol. 2003









function
August; 23(15): 5301-7


Taf10
24075
TAF10
6881
−1.38
DNA-templated
DNA
CS score,
Mohan W S Jr, et al.







transcription,
replication,
mouse
Mol Cell Biol. 2003







initiation
DNA repair
K.O.,
Jun. 23; (12): 4307-18









function


Taf1c
21341
TAF1C
9013
−1.80
chromatin silencing
DNA
CS score,







at rDNA
replication,
function








DNA repair


Taf6
21343
TAF6
6878
−1.84
DNA-
DNA
CS score,







templated
replication,
function







transcription,
DNA repair







initiation


Taf6l
67706
TAF6L
10629
−1.53
DNA-
DNA
CS score,







templated
replication,
function







transcription,
DNA repair







initiation


Ticrr
77011
TICRR
90381
−2.03
DNA replication
DNA
CS score,








replication,
function








DNA repair


Top1
21969
TOP1
7150
−2.02
DNA topical
DNA
CS score,
Morham S G, et al.







change
replication,
mouse
Mol Cell Biol. 1996








DNA repair
K.O.,
December; 16(12): 6804-9









function


Top2a
21973
TOP2A
7153
−1.50
DNA replication
DNA
CS score,








replication,
function








DNA repair


Trrap
100683
TRRAP
8295
−2.36
DNA repair
DNA
CS score,
Herceg Z et al. Nat








replication,
mouse
Genet. 2001








DNA repair
K.O.,
October; 29(2): 206-11









function


Zbtb11
271377
ZBTB11
27107
−2.34
transcription, DNA-
DNA
CS score,







templated
replication,
function








DNA repair


Actl6a
56456
ACTL6A
86
−2.33
neural retina
DNA
CS score,
Krasteva V, et al.







development
replication,
mouse
Blood. 2012 Dec.








DNA repair
K.O.,
6; 120(24): 4720-32









function


Atr
245000
ATR
545
−2.01
double-strand break
DNA
CS score,
de Klein A, et al.







repair via
replication,
mouse
Curr Biol. 2000 Apr.







homologous
DNA repair
K.O.,
20; 10(8): 479-82







recombination

function


Chd4
107932
CHD4
1108
−1.71
chromatin
DNA
CS score,







organization
replication,
function








DNA repair


Ciao1
26371
CIAO1
9391
−1.94
chromosome
DNA
CS score,







segregation
replication,
function








DNA repair


Ddx21
56200
DDX21
9188
−2.84
osteoblast
DNA
CS score,







differentiation
replication,
function








DNA repair


Dnaja3
83945
DNAJA3
9093
−2.19
mitochondrion
DNA
CS score,
Lo J F, et al. Mol







organization
replication,
mouse
Cell Biol. 2004








DNA repair
K.O.,
March; 24(6): 2226-36









function


Dnmt1
13433
DNMT1
1786
−1.97
methylation
DNA
CS score,
Lei H, et al.








replication,
mouse
Development. 1996








DNA repair
K.O.,
October; 122(10): 3195-









function
205


Gins2
272551
GINS2
51659
−3.32
double-strand break
DNA
CS score,







repair via break-
replication,
function







induced replication
DNA repair


Gtf2h3
209357
GTF2H3
2967
−1.84
nucleotide-
DNA
CS score,







excision repair
replication,
function








DNA repair


n/a
n/a
HIST2H2BF
440689
−1.70
chromatin
DNA
CS score,







organization
replication,
function








DNA repair


Mms22l
212377
MMS22L
253714
−1.38
double-strand break
DNA
CS score,







repair via
replication,
function







homologous
DNA repair







recombination


Mtor
56717
MTOR
2475
−1.98
double-strand break
DNA
CS score,
Murakami M, et al.







repair via
replication,
mouse
Mol Cell Biol. 2004







homologous
DNA repair
K.O.,
August; 24(15): 6710-8







recombination

function


Narfl
67563
NARFL
64428
−2.13
response hypoxia
DNA
CS score,
Song D, et al. J Biol








replication,
mouse
Chem. 2011 Mar. 2








DNA repair
K.O.,









function


Ndufa13
67184
NDUFA13
51079
−1.31
positive regulation of
DNA
CS score,
Huang G, et al. Mol







peptidase activity
replication,
mouse
Cell Biol. 2004








DNA repair
K.O.,
October; 24(19): 8447-56









function


Nol12
97961
NOL12
79159
−1.61
poly(A) RNA binding
DNA
CS score,








replication,
function








DNA repair


Nup107
103468
NUP107
57122
−1.30
transport
DNA
CS score,








replication,
function








DNA repair


Oraov1
72284
ORAOV1
220064
−2.26
biological_process
DNA
CS score,








replication,
function








DNA repair


Pam16
66449
PAM16
51025
−2.13
protein import into
DNA
CS score,







mitochondrial matrix
replication,
function








DNA repair


Pola2
18969
POLA2
23649
−2.84
protein import into
DNA
CS score,







nucleus,
replication,
function







translocation
DNA repair


Ppie
56031
PPIE
10450
−1.63
protein peptidyl-prolyl
DNA
CS score,







isomerization
replication,
function








DNA repair


Prpf19
28000
PRPF19
27339
−3.96
generation of
DNA
CS score,
Fortschegger K, et







catalytic spliceosome
replication,
mouse
al. Mol Cell Biol.







for first
DNA repair
K.O.,
2007







transesterification

function
April; 27(8): 3123-30







step


Psmc5
19184
PSMC5
5705
−2.57
ER-
DNA
CS score,







associated ubiquitin-
replication,
function







dependent protein
DNA repair







catabolic process


Rbbp5
213464
RBBP5
5929
−1.70
chromatin
DNA
CS score,







organization
replication,
function








DNA repair


Rbbp6
19647
RBBP6
5930
−1.78
in utero embryonic
DNA
CS score,
Li L, et al. Proc Natl







development
replication,
mouse
Acad Sci USA.








DNA repair
K.O.,
2007 May









function
8; 104(19): 7951-6


Rptor
74370
RPTOR
57521
−2.43
TOR signalling
DNA
CS score,
Guertin D A, et al.








replication,
mouse
Dev Cell. 2006








DNA repair
K.O.,
December; 11(6): 859-71









function


Rrn3
106298
RRN3
54700
−1.85
in utero embryonic
DNA
CS score,
Yuan X, et al. Mol







development
replication,
mouse
Cell. 2005 Jul.








DNA repair
K.O.,
1; 19(1): 77-87









function


Smg1
233789
SMG1
23049
−1.94
double-strand break
DNA
CS score,
Roberts T L, et al.







repair via
replication,
mouse
Proc Natl Acad Sci







homologous
DNA repair
K.O.,
USA. 2013 Jan.







recombination

function
22; 110(4): E285-94


Supt6
20926
SUPT6H
6830
−1.78
chromatin
DNA
CS score,
Dietrich J E, et al.







remodeling
replication,
mouse
EMBO Rep. 2015








DNA repair
K.O.,
August; 16(8): 1005-21









function


Tada2b
231151
TADA2B
93624
−1.23
chromatin
DNA
CS score,







organization
replication,
function








DNA repair


Tfip11
54723
TFIP11
24144
−2.19
spliceosomal
DNA
CS score,







complex disassembly
replication,
function








DNA repair


Tonsl
66914
TONSL
4796
−3.03
double-strand break
DNA
CS score,







repair via
replication,
function







homologous
DNA repair







recombination


Tpt1
22070
TPT1
7178
−2.05
calcium ion transport
DNA
CS score,
Susini L, et al. Cell








replication,
mouse
Death Differ. 2008








DNA repair
K.O.,
August; 15(8): 1211-20









function


Uba1
22201
UBA1
7317
−2.90
protein ubiquitination
DNA
CS score,








replication,
function








DNA repair


Vps25
28084
VPS25
84313
−2.31
protein targeting
DNA
CS score,







to vacuole involved
replication,
function







in ubiquitin-
DNA repair







dependent protein







catabolic process via







the multivesicular







body sorting pathway


Wbscr22
66138
WBSCR22
114049
−2.70
methylation
DNA
CS score,








replication,
function








DNA repair


Wdr5
140858
WDR5
11091
−1.99
skeletal system
DNA
CS score,







development
replication,
function








DNA repair


Xab2
67439
XAB2
56949
−2.86
generation of
DNA
CS score,
Yonemasu R, et al.







catalytic spliceosome
replication,
mouse
DNA Repair (Amst).







for first
DNA repair
K.O.,
2005 Apr.







transesterification

function
4; 4(4): 473-91







step


Zmat2
66492
ZMAT2
153527
−2.17
histidine-
DNA
CS score,







tRNA ligase
replication,
function







activity
DNA repair


Zfp335
329559
ZNF335
63925
−1.58
in utero embryonic
DNA
CS score,
Yang Y J, et al. Cell.







development
replication,
mouse
2012 Nov.








DNA repair
K.O.,
21; 151(5): 1097-112









function


Acly
104112
ACLY
47
−1.54
acetyl-CoA metabolic
Metabolism
CS score,
Beigneux A P, et al.







process

mouse
J Biol Chem. 2004









K.O.,
Mar.









function
5; 279(10): 9557-64


Adsl
11564
ADSL
158
−2.39
metabolic process
Metabolism
CS score,









function


Ahcy
269378
AHCY
191
−2.07
sulfur amino acid
Metabolism
CS score,







metabolic process

function


Arl2
56327
ARL2
402
−2.29
energy reserve
Metabolism
CS score,







metabolic process

function


Chka
12660
CHKA
1119
−1.64
lipid metabolic
Metabolism
CS score,
Wu G, et al. J Biol







process

mouse
Chem. 2008 Jan.









K.O.,
18; 283(3): 1456-62









function


Coasy
71743
COASY
80347
−1.82
vitamin metabolic
Metabolism
CS score,







process

function


Cox4i1
12857
COX4I1
1327
−2.00
generation of
Metabolism
CS score,







precursor

function







metabolites and







energy


n/a
n/a
COX7C
1350
−1.59
generation of
Metabolism
CS score,







precursor

function







metabolites and







energy


n/a
n/a
CTPS1
1503
−2.52
nucleobase-
Metabolism
CS score,







containing compound

function







metabolic process


Ddx10
77591
DDX10
1662
−2.02
metabolic process
Metabolism
CS score,









function


Ddx20
53975
DDX20
11218
−2.49
metabolic process
Metabolism
CS score,
Mouillet J F, et al.









mouse
Endocrinology.









K.O.,
2008









function
May; 149(5): 2168-75


Dhdds
67422
DHDDS
79947
−2.86
metabolic process
Metabolism
CS score,









function


Dhx30
72831
DHX30
22907
−1.93
metabolic process
Metabolism
CS score,









function


Dhx8
217207
DHX8
1659
−2.61
metabolic process
Metabolism
CS score,









function


Dhx9
13211
DHX9
1660
−1.73
metabolic process
Metabolism
CS score,
Lee C G, et al. Proc









mouse
Natl Acad Sci USA.









K.O.,
1998 Nov.









function
10; 95(23): 13709-13


Dlst
78920
DLST
1743
−1.93
metabolic process
Metabolism
CS score,









function


Dpagt1
13478
DPAGT1
1798
−2.80
UDP-N-
Metabolism
CS score,
Marek K W, et al.







acetylglucosamine

mouse
Glycobiology. 1999







metabolic process

K.O.,
November; 9(11): 1263-71









function


Gfpt1
14583
GFPT1
2673
−1.81
fructose 6-phosphate
Metabolism
CS score,







metabolic process

function


Gmps
229363
GMPS
8833
−1.80
Purine nucleobase
Metabolism
CS score,







metabolic process

function


Gpn1
74254
GPN1
11321
−1.79
metabolic process
Metabolism
CS score,









function


Gpn3
68080
GPN3
51184
−3.12
metabolic process
Metabolism
CS score,









function


Guk1
14923
GUK1
2987
−2.67
purine nucleotide
Metabolism
CS score,







metabolic process

function


Hsd17b10
15108
HSD17B10
3028
−1.84
lipid metabolic
Metabolism
CS score,







process

function


Lrr1
69706
LRR1
122769
−3.44
metabolic process
Metabolism
CS score,









function


Mtg2
52856
MTG2
26164
−2.04
metabolic process
Metabolism
CS score,









function


Myh9
17886
MYH9
4627
−1.70
metabolic process
Metabolism
CS score,
Matsushita T, et al.









mouse
Biochem Biophys









K.O.,
Res Commun. 2004









function
Dec.










24; 325(4): 1163-71


Nampt
59027
NAMPT
10135
−2.40
vitamin metabolic
Metabolism
CS score,
Revollo J R, et al.







process

mouse
Cell Metab. 2007









K.O.,
November; 6(5): 363-75









function


Ncbp1
433702
NCBP1
4686
−1.62
RNA metabolic
Metabolism
CS score,







process

function


Nfs1
18041
NFS1
9054
−2.40
metabolic process
Metabolism
CS score,









function


Ppcdc
66812
PPCDC
60490
−1.98
metabolic process
Metabolism
CS score,









function


Qrsl1
76563
QRSL1
55278
−1.67
metabolic process
Metabolism
CS score,









function


Rpp14
67053
RPP14
11102
−1.72
fatty acid metabolic
Metabolism
CS score,







process

function


Smarca4
20586
SMARCA4
6597
−1.89
metabolic process
Metabolism
CS score,
Bultman S, et al.









mouse
Mol Cell. 2000









K.O.,
December; 6(6): 1287-95









function


Snrnp200
320632
SNRNP200
23020
−2.50
metabolic process
Metabolism
CS score,









function


Srbd1
78586
SRBD1
55133
−2.35
nucleobase-
Metabolism
CS score,







containing compound

function







metabolic process


Srcap
100043597
SRCAP
10847
−1.43
metabolic process
Metabolism
CS score,









function


Ube2i
22196
UBE2I
7329
−2.55
metabolic process
Metabolism
CS score,
Nacerddine K, et al.









mouse
Dev Cell. 2005









K.O.,
December; 9(6): 769-79









function


Ube2m
22192
UBE2M
9040
−2.39
metabolic process
Metabolism
CS score,









function


Vcp
269523
VCP
7415
−2.85
metabolic process
Metabolism
CS score,
Muller J M, et al.









mouse
Biochem Biophys









K.O.,
Res Commun. 2007









function
Mar. 9; 354(2): 459-










465


Aamp
227290
AAMP
14
−2.37
angiogenesis
Metabolism
CS score,









function


Acin1
56215
ACIN1
22985
−1.53
positive regulation of
Metabolism
CS score,







defense response to

function







virus by host


Aco2
11429
ACO2
50
−2.08
tricarboxylic acid
Metabolism
CS score,







cycle

function


Adss
11566
ADSS
159
−2.46
purine nucleotide
Metabolism
CS score,







biosynthetic process

function


Alg2
56737
ALG2
85365
−2.29
biosynthetic process
Metabolism
CS score,









function


Ap2s1
232910
AP2S1
1175
−2.00
intracellular protein
Metabolism
CS score,







transport

function


Arcn1
213827
ARCN1
372
−1.91
intracellular protein
Metabolism
CS score,







transport

function


Armc7
276905
ARMC7
79637
−2.02
molecular_function
Metabolism
CS score,









function


Atp2a2
11938
ATP2A2
488
−3.01
calcium ion
Metabolism
CS score,
Andersson K B, et







transmembrane

mouse
al. Cell Calcium.







transport

K.O.,
2009









function
September; 46(3): 219-25


Atp5a1
11946
ATP5A1
498
−1.99
negative regulation of
Metabolism
CS score,







endothelial cell

function







proliferation


Atp5d
66043
ATP5D
513
−2.21
oxidative
Metabolism
CS score,







phosphorylation

function


Atp5o
28080
ATP5O
539
−1.17
ATP biosynthetic
Metabolism
CS score,







process

function


Atp6v0b
114143
ATP6V0B
533
−3.01
cellular iron ion
Metabolism
CS score,







homeostasis

function


Atp6v0c
11984
ATP6V0C
527
−3.84
cellular iron ion
Metabolism
CS score,
Sun-Wada G H, et







homeostasis

mouse
al. Dev Biol. 2000









K.O.,
Dec. 15; 228(2): 315-









function
25


Atp6v1a
11964
ATP6V1A
523
−3.58
proton transport
Metabolism
CS score,









function


Atp6v1b2
11966
ATP6V1B2
526
−2.94
cellular iron ion
Metabolism
CS score,







homeostasis

function


Atp6v1d
73834
ATP6V1D
51382
−2.58
transmembrane
Metabolism
CS score,







transport

function


Aurkaip1
66077
AURKAIP1
54998
−1.56
organelle
Metabolism
CS score,







organization

function


n/a
n/a
C1orf109
54955
−2.43
molecular_function
Metabolism
CS score,









function


n/a
n/a
C21orf59
56683
−2.77
cell projection
Metabolism
CS score,







morphogenesis

function


Ccdc84
382073
CCDC84
338657
−1.86
molecular_function
Metabolism
CS score,









function


Cct2
12461
CCT2
10576
−3.23
protein folding
Metabolism
CS score,









function


Cct3
12462
CCT3
7203
−3.31
protein folding
Metabolism
CS score,









function


Cct4
12464
CCT4
10575
−2.62
protein folding
Metabolism
CS score,









function


Cct5
12465
CCT5
22948
−2.84
protein folding
Metabolism
CS score,









function


Cct7
12468
CCT7
10574
−2.47
protein folding
Metabolism
CS score,









function


Cct8
12469
CCT8
10694
2.03
protein folding
Metabolism
CS score,









function


Cdipt
52858
CDIPT
10423
−2.53
phospholipid
Metabolism
CS score,







biosynthetic process

function


Cenpi
102920
CENPI
249
−1.81
centromere complex
Metabolism
CS score,







assembly

function


Chordc1
66917
CHORDC1
26973
−1.52
regulation of
Metabolism
CS score,
Ferretti R, et al. Dev







centrosome

mouse
Cell. 2010 Mar.







duplication

K.O.,
16; 18(3): 486-95









function


Coa5
76178
COA5
493753
−2.33
mitochondrion
Metabolism
CS score,









function


Cog4
102339
COG4
25839
−1.39
Golgi vesicle
Metabolism
CS score,







transport

function


Copa
12847
COPA
1314
−1.63
intracellular protein
Metabolism
CS score,







transport

function


Copb1
70349
COPB1
1315
−2.30
intracellular protein
Metabolism
CS score,







transport

function


Copb2
50797
COPB2
9276
−2.65
intracellular protein
Metabolism
CS score,







transport

function


Cope
59042
COPE
11316
−2.93
ER to Golgi vesicle-
Metabolism
CS score,







mediated transport

function


Copz1
56447
COPZ1
22818
−1.87
transport
Metabolism
CS score,









function


Coq4
227683
COQ4
51117
−1.29
ubiquinone
Metabolism
CS score,







biosynthetic process

function


Cox15
226139
COX15
1355
−2.14
mitochondrial
Metabolism
CS score,
Viscomi C, et al.







electron transport,

mouse
Cell Metab. 2011







cytochrome c

K.O.,
Jul. 6; 14(1): 80-90







to oxygen

function


Cox17
12856
COX17
10063
−1.97
copper ion transport
Metabolism
CS score,
Takahashi Y, et al.









mouse
Mol Cell Biol. 2002









K.O.,
November; 22(21): 7614-









function
21


Cse1l
110750
CSE1L
1434
−2.31
protein export from
Metabolism
CS score,
Bera T K, et al. Mol







nucleus

mouse
Cell Biol. 2001









K.O.,
October; 21(20): 7020-4









function


Csnk2b
13001
CSNK2B
1460
−1.94
regulation of protein
Metabolism
CS score,
Buchou T, et al. Mol







kinase activity

mouse
Cell Biol, 2003









K.O.,
February; 23(3): 908-15









function


Cycs
13063
CYCS
54205
−2.36
response to reactive
Metabolism
CS score,
Li K, et al. Cell.







oxygen species

mouse
2000 May









K.O.,
12; 101(4): 389-99









function


Dad1
13135
DAD1
1603
−2.21
protein glycosylation
Metabolism
CS score,
Brewster J L, et al.









mouse
Genesis. 2000









K.O.,
April; 26(4): 271-8









function


Dap3
65111
DAP3
7818
−1.70
apoptotic process
Metabolism
CS score,
Kim H R, et al.









mouse
FASEB J. 2007









K.O.,
January; 21(1): 188-96









function


Dctn5
59288
DCTN5
84516
−2.39
antigen processing
Metabolism
CS score,







and presentation of

function







exogenous peptide







antigen via MHC







class II


Ddost
13200
DDOST
1650
−2.38
protein N-linked
Metabolism
CS score,







glycosylation via

function







asparagine


Dgcr8
94223
DGCR8
54487
−2.10
gene expression
Metabolism
CS score,
Ouchi Y, et al. J









mouse
Neurosci. 2013 May









K.O.,
29; 33(22): 9408-19









function


Dhodh
56749
DHODH
1723
−2.57
de novo' pyrimidine
Metabolism
CS score,







nucleobase

function







biosynthetic process


Dnlz
52838
DNLZ
728489
−1.92
protein folding
Metabolism
CS score,









function


Dnm1l
74006
DNM1L
10059
3.25
mitochondrial fission
Metabolism
CS score,
Wakabayashi J, et









mouse
al. J Cell Biol. 2009









K.O.,
Sep. 21; 186(6): 805-









function
16


Dnm2
13430
DNM2
1785
−3.98
endocytosis
Metabolism
CS score,
Ferguson S M, et al.









mouse
Dev Cell. 2009









K.O.,
December; 17(6): 811-22









function


Dohh
102115
DOHH
83475
−1.76
peptidyl-
Metabolism
CS score,







lysine modification

function







to peptidyl-







hypusine


Dolk
227697
DOLK
22845
−2.38
dolichol-
Metabolism
CS score,







linked

function







oligosaccharide







biosynthetic process


Donson
60364
DONSON
29980
−2.30
multicellular
Metabolism
CS score,







organismal

function







development


Dph3
105638
DPH3
285381
−1.62
peptidyl-
Metabolism
CS score,
Liu S, et al. Mol Cell







diphthamide

mouse
Biol. 2006







biosynthetic process

K.O.,
May; 26(10): 3835-41







from peptidyl-

function







histidine


Dtymk
21915
DTYMK
1841
−3.54
phosphorylation
Metabolism
CS score,









function


Eif2b2
217715
EIF2B2
8892
−2.24
ovarian follicle
Metabolism
CS score,







development

function


Eif2s2
67204
EIF2S2
8894
−2.33
in utero embryonic
Metabolism
CS score,
Heaney J D, et al.







development

mouse
Hum Mol Genet.









K.O.,
2009 Apr.









function
15; 18(8): 1395-404


Emc1
230866
EMC1
23065
−1.34
protein folding in
Metabolism
CS score,







endoplasmic

function







reticulum


Emc7
73024
EMC7
56851
−2.27
biological_process
Metabolism
CS score,









function


Eno1
13806
ENO1
2023
−2.03
glycolytic process
Metabolism
CS score,
Couldrey C, et al.









mouse
Dev Dyn. 1998









K.O.,
June; 212(2): 284-92









function


Fam50a
108160
FAM50A
9130
−3.16
spermatogenesis
Metabolism
CS score,









function


Fam96b
68523
FAM96B
51647
−1.90
iron-sulfur cluster
Metabolism
CS score,







assembly

function


Fdps
110196
FDPS
2224
−2.41
isoprenoid
Metabolism
CS score,







biosynthetic process

function


Gapdh
14433
GAPDH
2597
−2.40
oxidation-
Metabolism
CS score,







reduction process

function


Gart
14450
GART
2618
−1.87
purine nucleobase
Metabolism
CS score,







biosynthetic process

function


Gemin4
276919
GEMIN4
50628
−1.56
spliceosomal snRNP
Metabolism
CS score,







assembly

function


Gemin5
216766
GEMIN5
25929
−2.51
spliceosomal snRNP
Metabolism
CS score,







assembly

function


Ggps1
14593
GGPS1
9453
−1.62
cholesterol
Metabolism
CS score,







biosynthetic process

function


Gmppb
331026
GMPPB
29925
−3.22
biosynthetic process
Metabolism
CS score,









function


Gnb1l
13972
GNB1L
54584
−1.93
G-protein coupled
Metabolism
CS score,







receptor signaling

function







pathway


n/a
n/a
GOLGA6L1
283767
−3.15

Metabolism
CS score,









function


Gosr2
56494
GOSR2
9570
−1.13
protein targeting to
Metabolism
CS score,







vacuole

function


Gpkow
209416
GPKOW
27238
−1.36
biological_process
Metabolism
CS score,









function


Gpn2
100210
GPN2
54707
−3.71
biological_process
Metabolism
CS score,









function


Gps1
209318
GPS1
2873
−2.11
inactivation of MAPK
Metabolism
CS score,







activity

function


Grpel1
17713
GRPEL1
80273
−2.61
protein folding
Metabolism
CS score,









function


Grwd1
101612
GRWD1
83743
−1.90
poly(A) RNA binding
Metabolism
CS score,









function


Hmgcr
15357
HMGCR
3156
−2.94
cholesterol
Metabolism
CS score,
Ohashi K. et al. J







biosynthetic process

mouse
Biol Chem. 2003









K.O.,
Oct.









function
31; 278(44): 42936-










41


Hmgcs1
208715
HMGCS1
3157
−2.41
liver development
Metabolism
CS score,









function


Hspa5
14828
HSPA5
3309
−3.86
platelet degranulation
Metabolism
CS score,
Luo S, et al. Mol









mouse
Cell Biol. 2006









K.O.,
August; 26(15): 5688-97









function


Hspa9
15526
HSPA9
3313
−3.55
protein folding
Metabolism
CS score,









function


Hspd1
15510
HSPD1
3329
−1.95
response to hypoxia
Metabolism
CS score,
Christensen J H, et









mouse
al. Cell Stress









K.O.,
Chaperones, 2010









function
November; 15(6): 851-63


Hspe1
15528
HSPE1
3336
−3.75
osteoblast
Metabolism
CS score,







differentiation

function


Hyou1
12282
HYOU1
10525
−2.06
response to ischemia
Metabolism
CS score,









function


Ipo13
230673
IPO13
9670
−2.84
intracellular protein
Metabolism
CS score,







transport

function


Iscu
66383
ISCU
23479
−2.40
cellular iron ion
Metabolism
CS score,







homeostasis

function


Itpk1
217837
ITPK1
3705
−1.55
phosphorylation
Metabolism
CS score,









function


Kansl2
69612
KANSL2
54934
−1.19
chromatin
Metabolism
CS score,







organization

function


Kansl3
226976
KANSL3
55683
−1.53
chromatin
Metabolism
CS score,







organization

function


Kri1
215194
KRI1
65095
−2.49
poly(A) RNA binding
Metabolism
CS score,









function


Lamtor2
83409
LAMTOR2
28956
−1.62
activation of MAPKK
Metabolism
CS score,
Teis D, et al. J Cell







activity

mouse
Biol. 2006 Dec.









K.O.,
18; 175(6): 861-8









function


Leng8
232798
LENG8
114823
−1.75
biological_process
Metabolism
CS score,









function


Ltv1
353258
LTV1
84946
−1.81
nucleoplasm
Metabolism
CS score,









function


Mak16
67920
MAK16
84549
−2.30
poly(A) RNA binding
Metabolism
CS score,









function


Mat2a
232087
MAT2A
4144
−2.34
S-adenosylmethionine
Metabolism
CS score,







biosynthetic process

function


Mcm3ap
54387
MCM3AP
8888
−1.58
immune system
Metabolism
CS score,
Yoshida M, et al.







process

mouse
Genes Cells. 2007









K.O.,
October; 12(10): 1205-13









function


Mdn1
100019
MDN1
23195
−1.68
protein complex
Metabolism
CS score,







assembly

function


n/a
n/a
MFAP1
4236
−1.94
biological_process
Metabolism
CS score,









function


Mmgt1
236792
MMGT1
93380
−1.55
magnesium ion
Metabolism
CS score,







transport

function


Mrpl16
94063
MRPL16
54948
−1.80
organelle
Metabolism
CS score,







organization

function


Mrpl17
27397
MRPL17
63875
−1.80
mitochondrial
Metabolism
CS score,







genome

function







maintenance


Mrpl33
66845
MRPL33
9553
−1.62
organelle
Metabolism
CS score,







organization

function


Mrpl38
60441
MRPL38
64978
−1.95
organelle
Metabolism
CS score,







organization

function


Mrpl39
27393
MRPL39
54148
−1.71
organelle
Metabolism
CS score,







organization

function


Mrpl45
67036
MRPL45
84311
−1.75
organelle
Metabolism
CS score,







organization

function


Mrpl46
67308
MRPL46
26589
−1.83
organelle
Metabolism
CS score,







organization

function


Mrpl53
68499
MRPL53
116540
−1.84
organelle
Metabolism
CS score,







organization

function


Mrps22
64655
MRPS22
56945
−1.32
organelle
Metabolism
CS score,







organization

function


Mrps25
64658
MRPS25
64432
−1.63
organelle
Metabolism
CS score,







organization

function


Mrps35
232536
MRPS35
60488
−1.60
organelle
Metabolism
CS score,







organization

function


Mrps5
77721
MRPS5
64969
−1.65
organelle
Metabolism
CS score,







organization

function


Mvd
192156
MVD
4597
−3.24
isoprenoid
Metabolism
CS score,







biosynthetic process

function


Mvk
17855
MVK
4598
−1.73
isoprenoid
Metabolism
CS score,







biosynthetic process

function


Naa25
231713
NAA25
80018
−2.40
peptide alpha-N-
Metabolism
CS score,







acetyltransferase

function







activity


Napa
108124
NAPA
8775
−2.31
intracellular protein
Metabolism
CS score,







transport

function


Nat10
98956
NAT10
55226
−2.16
biological_process
Metabolism
CS score,









function


Ndor1
78797
NDOR1
27158
−2.10
cell death
Metabolism
CS score,









function


Ndufab1
70316
NDUFAB1
4706
−1.83
fatty acid biosynthetic
Metabolism
CS score,







process

function


Nol10
217431
NOL10
79954
−1.79
poly(A) RNA binding
Metabolism
CS score,









function


Nop9
67842
NOP9
161424
−1.44
biological_process
Metabolism
CS score,









function


Nrde2
217827
NRDE2
55051
−2.69
biological_process
Metabolism
CS score,









function


Nsf
18195
NSF
4905
−2.76
intra-Golgi vesicle-
Metabolism
CS score,







mediated transport

function


Nubp1
26425
NUBP1
4682
−2.05
cellular iron ion
Metabolism
CS score,







homeostasis

function


Nudcd3
209586
NUDCD3
23386
−1.71
molecular_function
Metabolism
CS score,









function


Nup155
170762
NUP155
9631
−1.59
nucleocytoplasmic
Metabolism
CS score,
Zhang X, et al. Cell.







transport

mouse
2008 Dec.









K.O.,
12; 135(6): 1017-27









function


Nup93
71805
NUP93
9688
−2.11
protein import into
Metabolism
CS score,







nucleus

function


Nus1
52014
NUS1
116150
−1.94
angiogenesis
Metabolism
CS score,
Park E J, et al. Cell









mouse
Metab. 2014 Sep.









K.O.,
2; 20(3): 448-57









function


Nvl
67459
NVL
4931
−2.61
positive regulation of
Metabolism
CS score,







telomerase activity

function


Ogdh
18293
OGDH
4967
−2.98
tricarboxylic acid
Metabolism
CS score,







cycle

function


Osbp
76303
OSBP
5007
−2.06
lipid transport
Metabolism
CS score,









function


Pak1ip1
68083
PAK1IP1
55003
−2.28
cell proliferation
Metabolism
CS score,









function


Pfdn2
18637
PFDN2
5202
−1.32
protein folding
Metabolism
CS score,









function


Pgam1
18648
PGAM1
5223
−2.37
glycolytic process
Metabolism
CS score,









function


Pkm
18746
PKM
5315
−1.68
glycolytic process
Metabolism
CS score,
Lewis S E, et al.









mouse
1983:267-78.









K.O.,
Plenum Publ. Corp.









function


Pmpcb
73078
PMPCB
9512
−1.77
proteolysis
Metabolism
CS score,









function


Ppil2
66053
PPIL2
23759
−3.01
protein
Metabolism
CS score,







polyubiquitination

function


Ppp4c
56420
PPP4C
5531
−2.89
protein
Metabolism
CS score,
Toyo-oka K, et al. J







dephosphorylation

mouse
Cell Biol. 2008 Mar.









K.O.,
24; 180(6): 1133-47









function


Prelid1
66494
PRELID1
27166
−2.27
apoptotic process
Metabolism
CS score,









function


Prpf31
68988
PRPF31
26121
−3.20
spliceosomal tri-
Metabolism
CS score,
Bujakowska K, et al.







snRNP complex

mouse
Invest Ophthalmol







assembly

K.O.,
Vis Sci. 2009









function
December; 50(12): 5927-










33


Prpf6
68879
PRPF6
24148
−2.96
spliceosomal tri-
Metabolism
CS score,







snRNP complex

function







assembly


Psma1
26440
PSMA1
5682
−2.39
proteasomal
Metabolism
CS score,







ubiquitin-

function







independent protein







catabolic process


Psma2
19166
PSMA2
5683
−2.23
proteasomal
Metabolism
CS score,







ubiquitin-

function







independent protein







catabolic process


Psma3
19167
PSMA3
5684
−2.30
proteasomal
Metabolism
CS score,







ubiquitin-

function







independent protein







catabolic process


Psmb2
26445
PSMB2
5690
−2.12
proteasomal
Metabolism
CS score,







ubiquitin-

function







independent protein







catabolic process


Psmb3
26446
PSMB3
5691
−2.78
proteolysis involved
Metabolism
CS score,







in cellular protein

function







catabolic process


Psmb5
19173
PSMB5
5693
−1.67
proteasomal
Metabolism
CS score,







ubiquitin-

function







independent protein







catabolic process


Psmb6
19175
PSMB6
5694
−2.42
proteasomal
Metabolism
CS score,







ubiquitin-

function







independent protein







catabolic process


Psmb7
19177
PSMB7
5695
−2.69
proteasomal
Metabolism
CS score,







ubiquitin-

function







independent protein







catabolic process


Psmc2
19181
PSMC2
5701
−2.35
protein catabolic
Metabolism
CS score,







process

function


Psmc3
19182
PSMC3
5702
−2.76
ER-
Metabolism
CS score,
Sakao Y, et al.







associated ubiquitin-

mouse
Genomics. 2000 Jul.







dependent protein

K.O.,
1; 67(1): 1-7







catabolic process

function


Psmc4
23996
PSMC4
5704
−2.36
blastocyst
Metabolism
CS score,
Sakao Y, et al.







development

mouse
Genomics. 2000 Jul.









K.O.,
1; 67(1): 1-7









function


Psmd1
70247
PSMD1
5707
−1.88
regulation of protein
Metabolism
CS score,







catabolic process

function


Psmd2
21762
PSMD2
5708
−2.16
regulation of protein
Metabolism
CS score,







catabolic process

function


Psmd3
22123
PSMD3
5709
−2.10
regulation of protein
Metabolism
CS score,







catabolic process

function


Psmd4
19185
PSMD4
5710
−1.77
ubiquitin-
Metabolism
CS score,
Soriano P, et al.







dependent protein

mouse
Genes Dev. 1987







catabolic process

K.O.,
June; 1(4): 366-75









function


Psmd6
66413
PSMD6
9861
−2.27
proteasome-
Metabolism
CS score,







mediated ubiquitin-

function







dependent protein







catabolic process


Psmg3
66506
PSMG3
84262
−2.57
molecular_function
Metabolism
CS score,









function


Ptpmt1
66461
PTPMT1
114971
−2.89
protein
Metabolism
CS score,
Shen J, et al. Mol







dephosphorylation

mouse
Cell Biol. 2011









K.O.,
December; 31(24): 4902-









function
16


Ptpn23
104831
PTPN23
25930
−1.59
negative regulation of
Metabolism
CS score,
Gingras M C, et al.







epithelial cell

mouse
Int J Dev Biol.







migration

K.O.,
2009; 53(7): 1069-74









function


Rabggta
56187
RABGGTA
5875
−3.18
protein prenylation
Metabolism
CS score,









function


Rabggtb
19352
RABGGTB
5876
−2.44
protein
Metabolism
CS score,







geranylgeranylation

function


Rbm19
74111
RBM19
9904
−2.03
multicellular
Metabolism
CS score,
Zhang J, et al. BMC







organismal

mouse
Dev Biol.







development

K.O.,
2008; 8:115









function


Rfk
54391
RFK
55312
−1.56
riboflavin biosynthetic
Metabolism
CS score,
Yazdanpanah B, et







process

mouse
al. Nature. 2009









K.O.,
Aug.









function
27; 460(7259): 1159-63


Rheb
19744
RHEB
6009
−1.38
signal transduction
Metabolism
CS score,
Zou J, et al. Dev









mouse
Cell. 2011 Jan.









K.O.,
18; 20(1): 97-108









function


Riok1
71340
RIOK1
83732
−1.27
protein
Metabolism
CS score,







phosphorylation

function


Rpn1
103963
RPN1
6184
−2.13
protein glycosylation
Metabolism
CS score,









function


Rtfdc1
66404
RTFDC1
51507
−2.09
biological_process
Metabolism
CS score,









function


Sacm1l
83493
SACM1L
22908
−1.80
protein
Metabolism
CS score,







dephosphorylation

function


Samm50
68653
SAMM50
25813
−1.62
protein targeting to
Metabolism
CS score,







mitochondrion

function


Sco2
100126824
SCO2
9997
−1.60
eye development
Metabolism
CS score,
Yang H, et al. Hum









mouse
Mol Genet. 2010









K.O.,
Jan. 1; 19(1): 170-80









function


Sdha
66945
SDHA
6389
−2.20
tricarboxylic acid
Metabolism
CS score,







cycle

function


Sdhb
67680
SDHB
6390
−2.33
tricarboxylic acid
Metabolism
CS score,







cycle

function


Sec61a1
53421
SEC61A1
29927
−2.42
protein transport
Metabolism
CS score,









function


Slc20a1
20515
SLC20A1
6574
−2.38
sodium ion transport
Metabolism
CS score,
Festing M H, et al.









mouse
Genesis. 2009









K.O.,
December; 47(12): 858-63









function


Slc7a6os
66432
SLC7A6OS
84138
−2.30
hematopoietic
Metabolism
CS score,







progenitor cell

function







differentiation


Smn1
20595
SMN1
6606
−1.58
spliceosomal
Metabolism
CS score,
Hsieh-Li H M, et al.







complex assembly

mouse
Nat Genet. 2000









K.O.,
Janunary; 24(1): 66-70









function


Smu1
74255
SMU1
55234
−3.65
molecular_function
Metabolism
CS score,









function


Snrpd1
20641
SNRPD1
6632
−2.79
spliceosomal
Metabolism
CS score,







complex assembly

function


Snrpd3
67332
SNRPD3
6634
−3.62
spliceosomal
Metabolism
CS score,







complex assembly

function


Snrpe
20643
SNRPE
6635
−2.74
spliceosomal
Metabolism
CS score,







complex assembly

function


Spata5
57815
SPATA5
166378
−1.50
multicellular
Metabolism
CS score,







organismal

function







development


Spata5l1
214616
SPATA5L1
79029
−2.70
molecular_function
Metabolism
CS score,









function


Tango6
272538
TANGO6
79613
−2.29
integral component of
Metabolism
CS score,







membrane

function


n/a
n/a
TBC1D3B
414059
−1.67
positive regulation of
Metabolism
CS score,







GTPase activity

function


n/a
n/a
TBC1D3C
414060
−2.01
positive regulation of
Metabolism
CS score,







GTPase activity

function


Tbcb
66411
TBCB
1155
−1.97
nervous system
Metabolism
CS score,







development

function


Tbcc
72726
TBCC
6903
−3.02
cell morphogenesis
Metabolism
CS score,









function


Tbcd
108903
TBCD
6904
−1.82
microtubule
Metabolism
CS score,







cytoskeleton

function







organization


Tcp1
21454
TCP1
6950
−2.34
protein folding
Metabolism
CS score,









function


Telo2
71718
TELO2
9894
−2.34
regulation of TOR
Metabolism
CS score,
Takai H, et al. Cell.







signaling

mouse
2007 Dec.









K.O.,
28; 131(7): 1248-59









function


Tex10
269536
TEX10
54881
−1.26
integral component of
Metabolism
CS score,







membrane

function







mouse


Tfrc
22042
TFRC
7037
−3.40
cellular iron ion
Metabolism
CS score,
Levy J E, et al. Nat







homeostasis

mouse
Genet. 1999









K.O.,
April; 21(4): 396-9









function


Timm10
30059
TIMM10
26519
−1.99
protein targeting to
Metabolism
CS score,







mitochondrion

function


Timm13
30055
TIMM13
26517
−1.62
protein targeting to
Metabolism
CS score,







mitochondrion

function


Timm23
53600
TIMM23
100287932
−2.00
protein targeting to
Metabolism
CS score,
Ahting U, et al.







mitochondrion

mouse
Biochim Biophys









K.O.,
Acta. 2009









function
May; 1787(5): 371-6


Timm44
21856
TIMM44
10469
−1.73
protein import into
Metabolism
CS score,







mitochondrial matrix

function


Tmx2
66958
TMX2
51075
−2.29
biological_process
Metabolism
CS score,









function


Tnpo3
320938
TNPO3
23534
−1.82
splicing factor protein
Metabolism
CS score,







import into nucleus

function


Trmt112
67674
TRMT112
51504
−3.70
peptidyl-glutamine
Metabolism
CS score,







methylation

function


Trnau1ap
71787
TRNAU1AP
54952
−1.40
selenocysteine
Metabolism
CS score,







incorporation

function


Ttc1
66827
TTC1
7265
−1.74
protein folding
Metabolism
CS score,









function


Ttc27
74196
TTC27
55622
−2.54
biological_process
Metabolism
CS score,









function


Tti1
75425
TTI1
9675
−2.91
regulation of TOR
Metabolism
CS score,







signaling

function


Tti2
234138
TTI2
80185
−1.94
molecular_function
Metabolism
CS score,









function


n/a
n/a
TUBB
203068
−3.40
microtubule-
Metabolism
CS score,







based process

function


Txn2
56551
TXN2
25828
−1.41
sulfate assimilation
Metabolism
CS score,
Nonn L, et al. Mol









mouse
Cell Biol. 2003









K.O.,
February; 23(3): 916-22









function


Uqcrc1
22273
UQCRC1
7384
−1.29
oxidative
Metabolism
CS score,







phosphorylation

function


Uqcrh
66576
UQCRH
7388
−1.28
oxidative
Metabolism
CS score,







phosphorylation

function


Urb2
382038
URB2
9816
−2.25
molecular_function
Metabolism
CS score,









function


Vmp1
75909
VMP1
81671
−1.75
exocytosis
Metabolism
CS score,









function


n/a
n/a
VPS28
51160
−3.06
protein targeting
Metabolism
CS score,







to vacuole involved

function







in ubiquitin-







dependent







protein catabolic







process via the







multivesicular body







sorting pathway


Vps29
56433
VPS29
51699
−2.05
intracellular protein
Metabolism
CS score,







transport

function


Vps52
224705
VPS52
6293
−1.85
ectodermal cell
Metabolism
CS score,
Sugimoto M, et al.







differentiation

mouse
Cell Rep. 2012 Nov.









K.O.,
29; 2(5): 1363-74









function


Wars2
70560
WARS2
10352
−1.16
vasculogenesis
Metabolism
CS score,









function


Wdr7
104082
WDR7
23335
−1.47
hematopoietic
Metabolism
CS score,







progenitor cell

function







differentiation


Wdr70
545085
WDR70
55100
−1.69
enzyme binding
Metabolism
CS score,









function


Wdr74
107071
WDR74
54663
−2.84
blastocyst formation
Metabolism
CS score,









function


Wdr77
70465
WDR77
79084
−2.19
spliceosomal snRNP
Metabolism
CS score,
Zhou L, et al. J Mol







assembly

mouse
Endocrinol. 2006









K.O.,
October; 37(2): 283-300









function


Yae1d1
67008
YAE1D1
57002
−1.71
molecular_function
Metabolism
CS score,









function


Yrdc
230734
YRDC
79693
−2.33
negative regulation of
Metabolism
CS score,







transport

function


Znhit2
29805
ZNHIT2
741
−2.70
metal ion binding
Metabolism
CS score,









function


Aars
234734
AARS
16
−2.48
alanyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Bms1
213895
BMS1
9790
−1.36
ribosome assembly
RNA
CS score,








tran-
function








scription,








protein








translation


Bud31
231889
BUD31
8896
−2.46
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Bysl
53414
BYSL
705
−2.24
maturation of SSU-
RNA
CS score,
Aoki R, et al. FEBS







rRNA from tricistronic
tran-
mouse
Lett. 2006 Nov.







rRNA transcript
scription,
K.O.,
13; 580(26): 6062-8







(SSU-rRNA, 5.8S
protein
function







rRNA, LSU-rRNA)
translation


Cars
27267
CARS
833
−2.45
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Cdc5l
71702
CDC5L
988
−2.09
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Cdc73
214498
CDC73
79577
−2.58
negative regulation of
RNA
CS score,
Wang P, et al. Mol







transcription from
tran-
mouse
Cell Biol. 2008







RNA polymerase II
scription,
K.O.,
May; 28(9): 2930-40







promoter
protein
function








translation


Cebpz
12607
CEBPZ
10153
−2.11
transcription from
RNA
CS score,







RNA polymerase II
tran-
function







promoter
scription,








protein








translation


Clasrp
53609
CLASRP
11129
−1.30
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Clp1
98985
CLP1
10978
−3.47
mRNA splicing, via
RNA
CS score,
Hanada T, et al.







spliceosome
tran-
mouse
Nature. 2013 Mar.








scription,
K.O.,
28; 495(7442): 474-








protein
function
80








translation


Cox5b
12859
COX5B
1329
−1.50
transcription initiation
RNA
CS score,







from RNA
tran-
function







polymerase II
scription,







promoter
protein








translation


Cpsf1
94230
CPSF1
29894
−2.58
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Cpsf2
51786
CPSF2
53981
−2.55
mRNA
RNA
CS score,







polyadenylation
tran-
function








scription,








protein








translation


Cpsf3l
71957
CPSF3L
54973
−2.09
snRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Dars
226414
DARS
1615
−2.90
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Dbr1
83703
DBR1
51163
−3.75
RNA splicing, via
RNA
CS score,







transesterification
tran-
function







reactions
scription,








protein








translation


Ddx18
66942
DDX18
8886
−2.33
RNA secondary
RNA
CS score,







structure unwinding
tran-
function








scription,








protein








translation


Ddx23
74351
DDX23
9416
−3.01
RNA secondary
RNA
CS score,







structure unwinding
tran-
function








scription,








protein








translation


Ddx24
27225
DDX24
57062
−1.40
RNA secondary
RNA
CS score,







structure unwinding
tran-
function








scription,








protein








translation


Ddx41
72935
DDX41
51428
−1.74
RNA secondary
RNA
CS score,







structure unwinding
tran-
function








scription,








protein








translation


Ddx46
212880
DDX46
9879
−2.79
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Ddx47
67755
DDX47
51202
−2.20
RNA secondary
RNA
CS score,







structure unwinding
tran-
function








scription,








protein








translation


Ddx49
234374
DDX49
54555
−3.20
RNA secondary
RNA
CS score,







structure unwinding
tran-
function








scription,








protein








translation


Ddx54
71990
DDX54
79039
−2.94
RNA secondary
RNA
CS score,







structure unwinding
tran-
function








scription,








protein








translation


Ddx56
52513
DDX56
54606
−2.85
rRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Dgcr14
27886
DGCR14
8220
−1.76
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Dhx15
13204
DHX15
1665
−2.58
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Dhx16
69192
DHX16
8449
−1.35
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Dhx38
64340
DHX38
9785
−1.76
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Diexf
215193
DIEXF
27042
−2.03
maturation of SSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Dimt1
66254
DIMT1
27292
−1.87
rRNA methylation
RNA
CS score,








tran-
function








scription,








protein








translation


Dis3
72662
DIS3
22894
−1.77
mRNA catabolic
RNA
CS score,







process
tran-
function








scription,








protein








translation


Dkc1
245474
DKC1
1736
−2.37
box H/ACA snoRNA
RNA
CS score,
He J, et al.







3′-end processing
tran-
mouse
Oncogene. 2002








scription,
K.O.,
Oct. 31; 21(50): 7740-








protein
function
4








translation


Dnajc17
69408
DNAJC17
55192
−2.25
negative regulation of
RNA
CS score,
Amendola E, et al.







transcription from
tran-
mouse
Endocrinology.







RNA polymerase II
scription,
K.O.,
2010







promoter
protein
function
April; 151(4): 1948-58








translation


Ears2
67417
EARS2
124454
−1.91
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Ebna1bp2
69072
EBNA1BP2
10969
−1.52
ribosome biogenesis
RNA
CS score,








tran-
function








scription,








protein








translation


Eef1a1
13627
EEF1A1
1915
−3.11
translational
RNA
CS score,







elongation
tran-
function








scription,








protein








translation


Eef1g
67160
EEF1G
1937
−1.42
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Eef2
13629
EEF2
1938
−3.53
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Eftud2
20624
EFTUD2
9343
−3.79
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Eif1ad
69860
EIF1AD
84285
−2.26
translational initiation
RNA
CS score,








tran-
function








scription,








protein








translation


Eif2b1
209354
EIF2B1
1967
−2.23
regulation of
RNA
CS score,







translational initiation
tran-
function








scription,








protein








translation


Eif2b3
108067
EIF2B3
8891
−3.00
translational initiation
RNA
CS score,








tran-
function








scription,








protein








translation


Eif2s1
13665
EIF2S1
1965
−3.93
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Eif3c
56347
EIF3C
8663
−2.59
formation of
RNA
CS score,







translation
tran-
function







preinitiation complex
scription,








protein








translation


n/a
n/a
EIF3CL
728689
−2.71
formation of
RNA
CS score,







translation
tran-
function







preinitiation complex
scription,








protein








translation


Eif3d
55944
EIF3D
8664
−3.23
formation of
RNA
CS score,







translation
tran-
function







preinitiation complex
scription,








protein








translation


Eif3f
66085
EIF3F
8665
−1.44
formation of
RNA
CS score,







translation
tran-
function







preinitiation complex
scription,








protein








translation


Eif3g
53356
EIF3G
8666
−3.10
translational initiation
RNA
CS score,








tran-
function








scription,








protein








translation


Eif3i
54709
EIFI
8668
−2.24
formation of
RNA
CS score,







translation
tran-
function







preinitiation complex
scription,








protein








translation


Eif3l
223691
EIF3L
51386
−1.28
translational initiation
RNA
CS score,








tran-
function








scription,








protein








translation


Eif4a1
13681
EIF4A1
1973
−1.97
translational initiation
RNA
CS score,








tran-
function








scription,








protein








translation


Eif4a3
192170
EIF4A3
9775
−4.32
RNA splicing
RNA
CS score,








tran-
function








scription,








protein








translation


Eif4g1
208643
EIF4G1
1981
−1.79
nuclear-
RNA
CS score,







transcribed
tran-
function







mRNA catabolic
scription,







process, nonsense-
protein







mediated decay
translation


Eif5b
226982
EIF5B
9669
−2.93
translational initiation
RNA
CS score,








tran-
function








scription,








protein








translation


Eif6
16418
EIF6
3692
−2.75
mature ribosome
RNA
CS score,
Gandin V, et al.







assembly
tran-
mouse
Nature, 2008 Oct.








scription,
K.O.,
2; 455(7213): 684-8








protein
function








translation


Elac2
68626
ELAC2
60528
−2.06
tRNA 3′-trailer
RNA
CS score,







cleavage,
tran-
function







endonucleolytic
scription,








protein








translation


Ell
13716
ELL
8178
−2.23
transcription
RNA
CS score,
Mitani K, et al.







elongation from RNA
tran-
mouse
Biochem Biophys







polymerase II
scription,
K.O.,
Res Commun. 2000







promoter
protein
function
Dec. 20; 279(2): 563-








translation

7


Etf1
225363
ETF1
2107
−2.44
translational
RNA
CS score,







termination
tran-
function








scription,








protein








translation


Exosc2
227715
EXOSC2
23404
−1.66
exonucleolytic
RNA
CS score,







trimming to generate
tran-
function







mature 3′-end of 5.8S
scription,







rRNA from tricistronic
protein







rRNA transcript
translation







(SSU-rRNA, 5.8S







rRNA, LSU-rRNA)


Exosc4
109075
EXOSC4
54512
−3.21
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







deadenylation-
protein







dependent decay
translation


Exosc5
27998
EXOSC5
56915
−2.09
rRNA catabolic
RNA
CS score,







process
tran-
function








scription,








protein








translation


n/a
n/a
EXOSC6
118460
−3.20
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







deadenylation-
protein







dependent decay
translation


Exosc7
66446
EXOSC7
23016
−2.17
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







deadenylation-
protein







dependent decay
translation


Exosc8
69639
EXOSC8
11340
−2.08
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







deadenylation-
protein







dependent decay
translation


Fars2
69955
FARS2
10667
−1.90
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Farsa
66590
FARSA
2193
−3.30
phenylalanyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Farsb
23874
FARSB
10056
−2.49
phenylalanyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Fau
14109
FAU
2197
−2.64
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Fip1l1
66899
FIP1L1
81608
−1.93
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Ftsj3
56095
FTSJ3
117246
−1.50
rRNA methylation
RNA
CS score,








tran-
function








scription,








protein








translation


Gle1
74412
GLE1
2733
−1.89
mRNA export from
RNA
CS score,







nucleus
tran-
function








scription,








protein








translation


Gnl3l
237107
GNL3L
54552
−1.35
ribosome biogenesis
RNA
CS score,








tran-
function








scription,








protein








translation


Gtf2e1
74197
GTF2E1
2960
−1.22
transcriptional open
RNA
CS score,







complex formation at
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Gtpbp4
69237
GTPBP4
23560
−2.25
ribosome biogenesis
RNA
CS score,








tran-
function








scription,








protein








translation


Hars
15115
HARS
3035
−3.49
histidyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Hars2
70791
HARS2
23438
−1.92
histidyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Heatr1
217995
HEATR1
55127
−2.58
maturation of SSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Hnrnpc
15381
HNRNPC
3183
−1.95
mRNA splicing, via
RNA
CS score,
Williamson D J, et







spliceosome
tran-
mouse
al. Mol Cell Biol.








scription,
K.O.,
2000








protein
function
June; 20(11): 4094-








translation

105


Hnrnpk
15387
HNRNPK
3190
−2.39
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Hnrnpl
15388
HNRNPL
3191
−1.88
mRNA processing
RNA
CS score,
Gaudreau M C, et al.








tran-
mouse
J Immunol. 2012








scription,
K.O.,
Jun. 1; 188(11): 5377-








protein
function
88








translation


Hnrnpu
51810
HNRNPU
3192
−2.44
mRNA splicing, via
RNA
CS score,
Roshon M J, et al.







spliceosome
tran-
mouse
Transgenic Res.








scription,
K.O.,
2005 April; 14(2): 179-








protein
function
92








translation


Iars
105148
IARS
3376
−3.87
isoleucyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Iars2
381314
IARS2
55699
−2.83
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Imp3
102462
IMP3
55272
−3.46
rRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Imp4
27993
IMP4
92856
−2.01
rRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Ints1
68510
INTS1
26173
−1.93
snRNA processing
RNA
CS score,
Nakayama M, et al.








tran-
mouse
FASEB J. 2006








scription,
K.O.,
August; 20(10): 1718-20








protein
function








translation


Ints4
101861
INTS4
92105
−1.75
snRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Ints5
109077
INTS5
80789
−2.10
snRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Ints8
72656
INTS8
55656
−1.35
snRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Ints9
210925
INTS9
55756
−2.26
snRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Isg20l2
229504
ISG20L2
81875
−2.27
ribosome biogenesis
RNA
CS score,








tran-
function








scription,








protein








translation


Kars
85305
KARS
3735
−2.76
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


n/a
n/a
KIAA0391
9692
−1.56
tRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Lars
107045
LARS
51520
−1.83
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Lars2
102436
LARS2
23395
−1.60
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Las1l
76130
LAS1L
81887
−2.12
rRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Lrpprc
72416
LRPPRC
10128
−1.39
negative regulation
RNA
CS score,
Ruzzenente B, et al.







of mitochondrial RNA
tran-
mouse
EMBO J. 2012 Jan.







catabolic process
scription,
K.O.,
18; 31(2): 143-56








protein
function








translation


Lsm2
27756
LSM2
57819
−2.96
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







deadenylation-
protein







dependent decay
translation


Lsm3
67678
LSM3
27258
−1.66
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







deadenylation-
protein







dependent decay
translation


Lsm7
66094
LSM7
51690
−1.96
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







deadenylation-
protein







dependent decay
translation


Magoh
17149
MAGOH
4116
−1.78
nuclear-
RNA
CS score,
Silver D L, et al. Nat







transcribed
tran-
mouse
Neurosci. 2010







mRNA catabolic
scription,
K.O.,
May; 13(5): 551-8







process, nonsence-
protein
function







dependent decay
translation


Mars
216443
MARS
4141
−3.24
methionyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Mars2
212679
MARS2
92935
−2.31
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Med17
234959
MED17
9440
−1.78
regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Med20
56771
MED20
9477
−2.00
regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Med22
20933
MED22
6837
−1.86
regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Med27
68975
MED27
9442
−1.48
regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Med30
69790
MED30
90390
−2.21
regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein


Med8
80509
MED8
112950
−1.64
regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Mepce
231803
MEPCE
56257
−2.08
negative regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Mettl16
67493
METTL16
79066
−2.10
rRNA base
RNA
CS score,







methylation
tran-
function








scription,








protein








translation


Mphosph10
67973
MPHOSPH10
10199
−1.85
RNA splicing, via
RNA
CS score,







transesterification
tran-
function







reactions
scription,








protein








translation


Mrpl10
107732
MRPL10
124995
−1.38
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrpl12
56282
MRPL12
6182
−1.56
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrpl21
353242
MRPL21
219927
−1.91
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrpl28
68611
MRPL28
10573
−1.50
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrpl3
94062
MRPL3
11222
−1.58
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrpl34
94065
MRPL34
64981
−1.66
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrpl4
66163
MRPL4
51073
−2.41
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrpl41
107733
MRPL41
64975
−2.15
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrpl51
66493
MRPL51
51258
−1.40
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrps14
64659
MRPS14
63931
−1.82
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrps15
66407
MRPS15
64960
−1.28
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrps16
66242
MRPS16
51021
−2.29
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrps18a
68565
MRPS18A
55168
−1.55
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrps2
118451
MRPS2
51116
−1.59
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrps21
66292
MRPS21
54460
−1.51
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrps24
64660
MRPS24
64951
−1.71
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Mrps6
121022
MRPS6
64968
−1.65
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Nars
70223
NARS
4677
−3.31
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Nars2
244141
NARS2
79731
−1.32
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Ncbp2
68092
NCBP2
22916
−3.00
mRNA cis splicing,
RNA
CS score,







via spliceosome
tran-
function








scription,








protein








translation


Nedd8
18002
NEDD8
4738
−2.45
regulation of
RNA
CS score,







transcription form
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Ngdn
68966
NGDN
25983
−2.35
maturation of SSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Nhp2
52530
NHP2
55651
−1.74
rRNA pseudouridine
RNA
CS score,







synthesis
tran-
function








scription,








protein








translation


Nip7
66164
NIP7
51388
−2.03
ribosome assembly
RNA
CS score,








tran-
function








scription,








protein








translation


Noc2l
57741
NOC2L
26155
−2.34
negative regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Noc4l
100608
NOC4L
79050
−2.11
ribosome biogenesis
RNA
CS score,








tran-
function








scription,








protein








translation


Nol6
230082
NOL6
65083
−2.28
rRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Nol9
74035
NOL9
79707
−2.20
cleavage in ITS2
RNA
CS score,







between 5.8S rRNA
tran-
function







and LSU-rRNA of
scription,







tricistronic rRNA
protein







transcript (SSU-
translation







rRNA, 5.8S rRNA,







LSU-rRNA)


Nop16
28126
NOP16
51491
−2.10
ribosomal large
RNA
CS score,







subunit biogenesis
tran-
function








scription,








protein








translation


Nop2
110109
NOP2
4839
−2.14
rRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Nop58
55989
NOP58
51602
−2.54
rRNA modification
RNA
CS score,








tran-
function








scription,








protein








translation


Nsa2
59050
NSA2
10412
−1.78
rRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Nudt21
68219
NUDT21
11051
−2.36
mRNA
RNA
CS score,







polyadenylation
tran-
function








scription,








protein








translation


Osgep
66246
OSGEP
55644
−1.98
tRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Pabpn1
54196
PABPN1
8106
−1.92
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Pdcd11
18572
PDCD11
22984
−1.47
rRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Pes1
64934
PES1
23481
−2.92
maturation of LSU-
RNA
CS score,
Lerch-Gaggl A, et







rRNA from tricistronic
tran-
mouse
al. J Biol Chem.







rRNA transcript
scription,
K.O.,
2002 Nov.







(SSU-rRNA, 5.8S
protein
function
22; 277(47): 45347-







rRNA, LSU-rRNA)
translation

55


Phb
18673
PHB
5245
−2.26
regulation of
RNA
CS score,
He B, et al.







transcription from
tran-
mouse
Endocrinology.







RNA polymerase II
scription,
K.O.,
2011







promoter
protein
function
March; 152(3): 1047-56








translation


Phf5a
68479
PHF5A
84844
−3.52
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Pnn
18949
PNN
5411
−1.34
mRNA splicing, via
RNA
CS score,
Joo J H, et al. Dev







spliceosome
tran-
mouse
Dyn. 2007








scription,
K.O.,
August; 236(8): 2147-58








protein
function








translation


Polr1b
20017
POLR1B
84172
−3.23
transcription from
RNA
CS score,
Chen H, et al.







RNA polymerase I
tran-
mouse
Biochem Biophys







promoter
scription,
K.O.,
Res Commun. 2008








protein
function
Jan. 25; 365(4): 636-








translation

42


Polr1c
20016
POLR1C
9533
−2.79
transcription from
RNA
CS score,







RNA polymerase I
tran-
function







promoter
scription,








protein








translation


Polr2a
20020
POLR2A
5430
−3.15
transcription from
RNA
CS score,







RNA polymerase II
tran-
function







promoter
scription,








protein








translation


Polr2b
231329
POLR2B
5431
−3.09
transcription from
RNA
CS score,







RNA polymerase II
tran-
function







promoter
scription,








protein








translation


Polr2c
20021
POLR2C
5432
−3.15
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Polr2d
69241
POLR2D
5433
−2.23
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







deadenylation-
protein







dependent decay
translation


Polr2f
69833
POLR2F
5435
−2.31
transcription from
RNA
CS score,







RNA polymerase I
tran-
function







promoter
scription,








protein








translation


Polr2g
67710
POLR2G
5436
−2.78
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







exonucleolytic
protein








translation


Polr2h
245841
POLR2H
5437
−1.83
transcription from
RNA
CS score,







RNA polymerase I
tran-
function







promoter
scription,








protein








translation


Polr2i
69920
POLR2I
5438
−2.92
maintenance of
RNA
CS score,







transcriptional fidelity
tran-
function







during DNA-
scription,







templated
protein







transcription
translation







elongation from RNA







polymerase II







promoter


Polr2j
20022
POLR2J
5439
−3.31
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Polr21
66491
POLR2L
5441
−3.55
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Polr3e
26939
POLR3E
55718
−2.33
transcription from
RNA
CS score,







RNA polymerase III
tran-
function







promoter
scription,








protein








translation


Pop1
67724
POP1
10940
−1.79
tRNA 5′-leader
RNA
CS score,







removal
tran-
function








scription,








protein








translation


Pop4
66161
POP4
10775
−1.87
RNA phosphodiester
RNA
CS score,







bond hydrolysis
tran-
function








scription,








protein








translation


Ppa1
67895
PPA1
5464
−1.63
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Ppan
235036
PPAN
56342
−1.62
ribosomal large
RNA
CS score,







subunit assembly
tran-
function








scription,








protein








translation


Ppp2ca
19052
PPP2CA
5515
−3.01
nuclear-
RNA
CS score,
Gu P, et al.







transcribed mRNA
tran-
mouse
Genesis. 2012







catabolic process,
scription,
K.O.,
May; 50(5): 429-36







nonsense-
protein
function







mediated decay
translation


Prim1
19075
PRIM1
5557
−2.07
DNA replication,
RNA
CS score,







synthesis of RNA
tran-
function







primer
scription,








protein








translation


Prpf38b
66921
PRPF38B
55119
−2.68
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Prpf4
70052
PRPF4
9128
−2.24
RNA splicing
RNA
CS score,








tran-
function








scription,








protein








translation


Prpf8
192159
PRPF8
10594
−3.43
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Ptcd1
71799
PTCD1
26024
−1.77
tRNA 3′-end
RNA
CS score,







processing
tran-
function








scription,








protein








translation


Pwp2
110816
PWP2
5822
−2.52
ribosomal small
RNA
CS score,







subunit assembly
tran-
function








scription,








protein








translation


Qars
97541
QARS
5859
−3.35
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Ran
19384
RAN
5901
−3.09
ribosomal large
RNA
CS score,







subunit export from
tran-
function







nucleus
scription,








protein








translation


Rars
104458
RARS
5917
−2.30
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Rars2
109093
RARS2
57038
−1.93
arginyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Rbm25
67039
RBM25
58517
−2.15
regulation of
RNA
CS score,







alternative mRNA
tran-
function







splicing, via
scription,







spliceosome
protein








translation


Rbm8a
60365
RBM8A
9939
−2.97
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rbmx
19655
RBMX
27316
−1.95
regulation of
RNA
CS score,







alternative mRNA
tran-
function







splicing, via
scription,







spliceosome
protein








translation


Rcl1
59028
RCL1
10171
−2.08
endonucleolytic
RNA
CS score,







cleavage of
tran-
function







tricistronic rRNA
scription,







transcript (SSU-
protein







rRNA, 5.8S rRNA,
translation







LSU-rRNA)


Rngtt
24018
RNGTT
8732
−2.90
transcription from
RNA
CS score,







RNA polymerase II
tran-
function







promoter
scription,








protein








translation


Rnmt
67897
RNMT
8731
−1.45
7-methylguanosine
RNA
CS score,







mRNA capping
tran-
function








scription,








protein








translation


Rnpc3
67225
RNPC3
55599
−1.95
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Rpap1
68925
RPAP1
26015
−2.58
transcription from
RNA
CS score,







RNA polymerase II
tran-
function







promoter
scription,








protein








translation


Rpl10
110954
RPL10
6134
−3.76
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl10a
19896
RPL10A
4736
−2.15
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpl11
67025
RPL11
6135
−2.99
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl12
269261
RPL12
6136
−2.64
ribosomal large
RNA
CS score,







subunit assembly
tran-
function








scription,








protein








translation


Rpl13
270106
RPL13
6137
−3.28
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl14
67115
RPL14
9045
−2.92
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpl15
66480
RPL15
6138
−3.50
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl18
19899
RPL18
6141
−3.72
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl18a
76808
RPL18A
6142
−3.37
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl23
65019
RPL23
9349
−3.02
translation
RNA
CS score,








tran-
function








scription,








protein








translation


n/a
n/a
RPL23A
6147
−4.25
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl24
68193
RPL24
6152
−2.55
ribosomal large
RNA
CS score,
Oliver E R, et al.







subunit assembly
tran-
mouse
Development. 2004








scription,
K.O.,
August; 131(16): 3907-








protein
function
20








translation


Rpl26
19941
RPL26
6154
−2.88
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl27
19942
RPL27
6155
−2.25
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl27a
26451
RPL27A
6157
−2.87
translation
RNA
CS score,
Terzian T, et al. J








tran-
mouse
Pathol. 2011








scription,
K.O.,
August; 224(4): 540-52








protein
function








translation


Rpl3
27367
RPL3
6122
−3.27
ribosomal large
RNA
CS score,







subunit assembly
tran-
function








scription,








protein








translation


Rpl30
19946
RPL30
6156
−2.53
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpl31
114641
RPL31
6160
−1.92
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl32
19951
RPL32
6161
−3.70
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


n/a
n/a
RPL34
6164
−2.37
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpl35
66489
RPL35
11224
−2.25
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpl35a
57808
RPL35A
6165
−3.20
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl36
54217
RPL36
25873
−3.44
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpl37
67281
RPL37
6167
−3.02
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl37a
19981
RPL37A
6168
−2.62
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpl38
67671
RPL38
6169
−2.57
translation
RNA
CS score,
MORGAN W C, et








tran-
mouse
al. J Hered. 1950








scription,
K.O.,
August; 41(8): 208-15








protein
function








translation


Rpl4
67891
RPL4
6124
−2.67
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpl5
100503670
RPL5
6125
−3.20
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl6
19988
RPL6
6128
−3.07
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl7
19989
RPL7
6129
−2.15
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpl7a
27176
RPL7A
6130
−3.45
ribosome biogenesis
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl7l1
66229
RPL7L1
285855
−1.86
maturation of LSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA, transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Rpl8
26961
RPL8
6132
−4.00
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpl9
20005
RPL9
6133
−3.57
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rplp0
11837
RPLP0
6175
−2.61
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rpp21
67676
RPP21
79897
−2.96
tRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Rpp30
54364
RPP30
10556
−1.79
tRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Rps10
67097
RPS10
6204
−2.88
ribosomal small
RNA
CS score,







subunit assembly
tran-
function








scription,








protein








translation


Rps11
27207
RPS11
6205
−2.93
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps12
20042
RPS12
6206
−3.33
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rps13
68052
RPS13
6207
−3.13
translation
RNA
CS score,








tran-
function








scription,








protein








translation


n/a
n/a
RPS14
6208
−3.18
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps15
20054
RPS15
6209
−3.20
ribosomal small
RNA
CS score,







subunit assembly
tran-
function








scription,








protein








translation


Rps15a
267019
RPS15A
6210
−3.18
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps16
20055
RPS16
6217
−2.35
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps17
20068
RPS17
6218
−2.69
ribosomal small
RNA
CS score,







subunit assembly
tran-
function








scription,








protein








translation


Rps19
20085
RPS19
6223
−3.49
translation
RNA
CS score,
Matsson H, et al.








tran-
mouse
Mol Cell Biol. 2004








scription,
K.O.,
May; 24(9): 4032-7








protein
function








translation


Rps2
16898
RPS2
6187
−2.50
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps21
66481
RPS21
6227
−1.84
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rps23
66475
RP523
6228
−2.86
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps25
75617
RPS25
6230
−2.38
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


n/a
n/a
RPS3A
6189
−3.72
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps4x
20102
RPS4X
6191
−3.04
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps5
20103
RPS5
6193
−2.61
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps6
20104
RPS6
6194
−3.31
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rps7
20115
RPS7
6201
−2.97
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rps8
20116
RPS8
6202
−3.44
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Rps9
76846
RPS9
6203
−3.16
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Rpsa
16785
RPSA
3921
−3.06
ribosomal small
RNA
CS score,
Han J, et al. MGI







subunit assembly
tran-
mouse
Direct Data








scription,
K.O.,
Submission. 2008








protein
function








translation


Rsl24d1
225215
RSL24D1
51187
−2.76
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Sars
20226
SARS
6301
−2.67
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Sars2
71984
SARS2
54938
−2.25
seryl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Sart1
20227
SART1
9092
−2.13
maturation of 5S
RNA
CS score,







rRNA
tran-
function








scription,








protein








translation


Sart3
53890
SART3
9733
−1.88
RNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Sdad1
231452
SDAD1
55153
−1.96
ribosomal large
RNA
CS score,







subunit export from
tran-
function







nucleus
scription,








protein








translation


Sf1
22668
SF1
7536
−3.04
mRNA splicing, via
RNA
CS score,
Shitashige M, et al.







spliceosome
tran-
mouse
Cancer Sci. 2007








scription,
K.O.,
December; 98(12): 1862-7








protein
function








translation


Sf3a1
67465
SF3A1
10291
−3.18
mRNA 3′-splice site
RNA
CS score,







recognition
tran-
function








scription,








protein








translation


Sf3a2
20222
SF3A2
8175
−2.66
mRNA 3′-splice site
RNA
CS score,







recognition
tran-
function








scription,








protein








translation


Sf3a3
75062
SF3A3
10946
−2.26
mRNA splicing, via
RNA
CS score,







transesterification
tran-
function







reactions
scription,








protein








translation


Sf3b2
319322
SF3B2
10992
−2.51
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Sf3b3
101943
SF3B3
23450
−4.13
RNA splicing, via
RNA
CS score,







transesterification
tran-
function







reactions
scription,








protein








translation


Sf3b4
107701
SF3B4
10262
−2.60
RNA splicing, via
RNA
CS score,







transesterification
tran-
function







reactions
scription,








protein








translation


Sfpq
71514
SFPQ
6421
−2.27
negative regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Sin3a
20466
SIN3A
25942
−1.74
negative regulation of
RNA
CS score,
Dannenberg J H, et







transcription from
tran-
mouse
al. Genes Dev.







RNA polymerase II
scription,
K.O.,
2005 Jul.







promoter
protein
function
1; 19(13): 581-95








translation


Smg5
229512
SMG5
23381
−2.35
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Smg6
103677
SMG6
23293
−1.18
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







nonsense-
protein







mediated decay
translation


Snrnp25
78372
SNRNP25
79622
−2.43
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Snrnp27
66618
SNRNP27
11017
−1.36
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Snrpd2
107686
SNRPD2
6633
−2.47
RNA splicing
RNA
CS score,








tran-
function








scription,








protein








translation


Snrpf
69878
SNRPF
6636
−3.58
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Srrm1
51796
SRRM1
10250
−1.81
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Srsf1
110809
SRSF1
6426
−2.75
mRNA 5′-splice site
RNA
CS score,
Xu X, et al. Cell.







recognition
tran-
mouse
2005 Jan.








scription,
K.O.,
14; 120(1): 59-72








protein
function








translation


Srsf2
20382
SRSF2
6427
−3.66
regulation of
RNA
CS score,
Ding J H, et al.







alternative mRNA
tran-
mouse
EMBO J. 2004 Feb.







splicing, via
scription,
K.O.,
25; 23(4): 885-96







spliceosome
protein
function








translation


Srsf3
20383
SRSF3
6428
−2.28
mRNA splicing, via
RNA
CS score,
Jumaa H et al. Curr







spliceosome
tran-
mouse
Biol. 1999 Aug.








scription,
K.O.,
26; 9(16): 399-902








protein
function








translation


Srsf7
225027
SRSF7
6432
−2.06
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Ssu72
68991
SSU72
29101
−2.57
mRNA
RNA
CS score,







polyadenylation
tran-
function








scription,








protein








translation


Sugp1
70616
SUGP1
57794
−1.36
RNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Tars
110960
TARS
6897
−2.53
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Tars2
71807
TARS2
80222
−1.91
threonyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Tbl3
213773
TBL3
10607
−2.41
maturation of SSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Thoc2
331401
THOC2
57187
−2.52
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Thoc5
107829
THOC5
8563
−1.57
mRNA processing
RNA
CS score,
Mancini A, et al.








tran-
mouse
BMC Biol 2010; 8:1








scription,
K.O.,








protein
function








translation


Thoc7
66231
THOC7
80145
−2.23
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Timeless
21853
TIMELESS
8914
−2.27
negative regulation
RNA
CS score,
Gotter A L, et al. Nat







of transcription from
tran-
mouse
Neurosci. 2000







RNA polymerase II
scription,
K.O.,
August; 3(8): 755-6







promoter
protein
function








translation


Tsen2
381802
TSEN2
80746
−1.41
tRNA-type intron
RNA
CS score,







splice site recognition
tran-
function







and cleavage
scription,








protein








translation


Tsr1
104662
TSR1
55720
−1.76
ribosome biogenesis
RNA
CS score,








tran-
function








scription,








protein








translation


Tsr2
69499
TSR2
90121
−2.82
maturation of SSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Tufm
233870
TUFM
7284
−1.92
translational
RNA
CS score,







elongation
tran-
function








scription,








protein








translation


Tut1
70044
TUT1
64852
−2.65
mRNA
RNA
CS score,







polyadenylation
tran-
function








scription,








protein








translation


Twistnb
28071
TWISTNB
221830
−2.17
transcription from
RNA
CS score,







RNA polymerase I
tran-
function







promoter
scription,








protein








translation


U2af1
108121
U2AF1
7307
−2.41
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


U2af2
22185
U2AF2
11338
−2.80
mRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Uba52
22186
UBA52
7311
−2.54
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Ubl5
66177
UBL5
59286
−2.56
mRNA splicing, via
RNA
CS score,







spliceosome
tran-
function








scription,








protein








translation


Upf1
19704
UPF1
5976
−2.63
nuclear-
RNA
CS score,
Medghalchi S M, et







transcribed mRNA
tran-
mouse
al. Hum Mol Genet.







catabolic process,
scription,
K.O.,
2001 Jan.







nonsense-
protein
function
15; 10(2): 99-105







mediated decay
translation


Upf2
326622
UPF2
26019
−2.16
nuclear-
RNA
CS score,
Weischenfeldt J, et







transcribed mRNA
tran-
mouse
al. Genes Dev.







catabolic process,
scription,
K.O.,
2008 May







nonsense-
protein
function
15; 22(10): 1381-96







mediated decay
translation


Utp15
105372
UTP15
84135
−1.65
maturation of SSU-
RNA
CS score,







RNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Utp20
70683
UTP20
27340
−2.28
endonucleolytic
RNA
CS score,







cleavage in ITS1 to
tran-
function







separate SSU-rRNA
scription,







from 5.8S rRNA and
protein







LSU-rRNA from
translation







tricistronic rRNA







transcript (SSU-







rRNA, 5.8S rRNA,







LSU-rRNA)


Utp23
78581
U1P23
84294
−2.54
rRNA processing
RNA
CS score,








tran-
function








scription,








protein








translation


Utp3
65961
UTP3
57050
−1.58
maturation of SSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Utp6
216987
UTP6
55813
−1.99
maturation of SSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Vars
22321
VARS
7407
−3.35
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Wars
22375
WARS
7453
−2.22
tryptophanyl-tRNA
RNA
CS score,







aminoacylation
tran-
function








scription,








protein








translation


Wdr12
57750
WDR12
55759
−2.16
maturation of LSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Wdr3
269470
WDR3
10885
−2.65
maturation of SSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Wdr33
74320
WDR33
55339
−2.63
mRNA
RNA
CS score,







polyadenylation
tran-
function








scription,








protein








translation


Wdr36
225348
WDR36
134430
−2.04
rRNA processing
RNA
CS score,
Gallenberger M, et








tran-
mouse
al. Hum Mol Genet.








scription,
K.O.,
2011 Feb.








protein
function
1; 20(3): 422-35








translation


Wdr46
57315
WDR46
9277
−2.41
maturation of SSU-
RNA
CS score,







rRNA from tricistronic
tran-
function







rRNA transcript
scription,







(SSU-rRNA, 5.8S
protein







rRNA, LSU-rRNA)
translation


Wdr61
66317
WDR61
80349
−2.63
nuclear-
RNA
CS score,







transcribed mRNA
tran-
function







catabolic process,
scription,







exonucleolytic,
protein







3′-5′
translation


Wdr75
73674
WDR75
84128
−2.12
regulation of
RNA
CS score,







transcription from
tran-
function







RNA polymerase II
scription,







promoter
protein








translation


Xpo1
103573
XPO1
7514
−3.50
ribosomal large
RNA
CS score,







subunit export from
tran-
function







nucleus
scription,








protein








translation


Yars
107271
YARS
8565
−2.78
tRNA aminoacylation
RNA
CS score,







for protein translation
tran-
function








scription,








protein








translation


Yars2
70120
YARS2
51067
−2.40
translation
RNA
CS score,








tran-
function








scription,








protein








translation


Ythdc1
231386
YTHDC1
91746
−2.35
mRNA splice site
RNA
CS score,







selection
tran-
function








scription,








protein








translation


Zbtb8os
67106
ZBTB8OS
339487
−2.54
tRNA splicing, via
RNA
CS score,







endonucleolytic
tran-
function







cleavage and ligation
scription,








protein








translation


Zc3h3
223642
ZC3H3
23144
−1.22
mRNA
RNA
CS score,







polyadenylation
tran-
function








scription,








protein








translation









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Claims
  • 1. (canceled)
  • 2. An isolated, genetically modified mammalian cell comprising an exogenous polynucleotide encoding herpes simplex virus-thymidine kinase (HSV-TK) operably linked to a promoter of an endogenous cyclin dependent kinase 1 (CDK1) gene encoding CDK1, wherein the cell co-expresses the HSV-TK and the CDK1 under control of the CDK1 gene promoter.
  • 3. The mammalian cell of claim 2, wherein the mammalian cell is selected from the group consisting of a human, mouse, rat, and non-human primate cell.
  • 4. The mammalian cell of claim 2, wherein the mammalian cell is a human cell.
  • 5. The mammalian cell of claim 2, wherein the cell further comprises an exogenous polynucleotide encoding HSV-TK operably linked to a promoter of an endogenous DNA topoisomerase II alpha (TOP2A) gene encoding TOP2A, wherein the cell co-expresses the HSV-TK and the TOP2A under control of the TOP2A gene promoter.
  • 6. A population comprising a plurality of the mammalian cell of claim 2.
  • 7. A method of making the mammalian cell of claim 2, comprising operably linking an exogenous polynucleotide encoding HSV-TK to a promoter of an endogenous CDK1 gene encoding CDK1, whereby the HSV-TK and the CDK1 are co-expressed under control of the CDK1 gene promoter.
  • 8. The method of claim 7, wherein the mammalian cell is selected from the group consisting of a human, mouse, rat, and non-human primate cell.
  • 9. The method of claim 7, wherein the mammalian cell is a human cell.
  • 10. The method of claim 7, wherein the method further comprises operably linking an exogenous polynucleotide encoding HSV-TK to a promoter of an endogenous TOP2A gene encoding TOP2A, whereby the HSV-TK and the TOP2A are co-expressed under control of the TOP2A gene promoter.
  • 11. A method of promoting death of the mammalian cell of claim 2 comprising contacting the mammalian cell with ganciclovir, thereby promoting the death thereof.
  • 12. The method of claim 11, wherein the mammalian cell is selected from the group consisting of a human, mouse, rat, and non-human primate cell.
  • 13. The method of claim 11, wherein the mammalian cell is a human cell.
  • 14. The method of claim 11, wherein the mammalian cell is a human cell and wherein the human cell is in a human subject that has been administered the human cell.
  • 15. The method of claim 11, wherein, prior to the contacting, the method comprises administering the mammalian cell to a subject.
  • 16. The method of claim 15, wherein the mammalian cell is a human cell, and wherein the subject is a human subject.
  • 17. A method of performing cell therapy comprising administering to a subject the mammalian cell of claim 2.
  • 18. The method of claim 17, wherein the mammalian cell is selected from the group consisting of a human, mouse, rat, and non-human primate cell.
  • 19. The method of claim 17, wherein the mammalian cell is a human cell.
  • 20. The method of claim 17, wherein the mammalian cell is a human cell, and wherein the subject is a human subject.
  • 21. The method of claim 17, wherein the method further comprises administering ganciclovir to the subject, thereby promoting death of the mammalian cell.
Provisional Applications (2)
Number Date Country
62130270 Mar 2015 US
62130258 Mar 2015 US
Continuations (1)
Number Date Country
Parent 15556146 Sep 2017 US
Child 17825784 US