A genome-wide analysis of Cas9 binding specificity using ChIP-seq and targeted sequence capture
Open accessPublished version of a preprint
Abstract
Clustered regularly interspaced short palindromic repeat (CRISPR) RNA-guided nucleases have gathered considerable excitement as a tool for genome engineering. However, questions remain about the specificity of target site recognition. Cleavage specificity is typically evaluated by low throughput assays (T7 endonuclease I assay, target amplification followed by high-throughput sequencing), which are limited to a subset of potential off-target sites. Here, we used ChIP-seq to examine genome-wide CRISPR binding specificity at gRNA-specific and gRNA-independent sites for two guide RNAs. RNA-guided Cas9 binding was highly specific to the target site while off-target binding occurred at much lower intensities. Cas9-bound regions were highly enriched in NGG sites, a sequence required for target site recognition by Streptococcus pyogenes Cas9. To determine the relationship between Cas9 binding and endonuclease activity, we applied targeted sequence capture, which allowed us to survey 1200 genomic loci simultaneously including potential off-target sites identified by ChIP-seq and by computational prediction. A high frequency of indels was observed at both target sites and one off-target site, while no cleavage activity could be detected at other ChIP-bound regions. Our results confirm the high-specificity of CRISPR endonucleases and demonstrate that sequence capture can be used as a high-throughput genome-wide approach to identify off-target activity.
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sgRNA-independent off-target effects also exist, urging unbiased experimental detection and validation.
“Nevertheless, accumulative studies have proved that sgRNA-independent off-target effects also exist, urging unbiased experimental detection and validation (Richter et al., 2020; O'Geen et al., 2015).”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as O'Geen et al., 2015
The Results section, “ChIP-seq identifies gRNA-specific and gRNA-independent binding sites” (page unavailable), reports 150 Cas9 binding sites common to two gRNAs. But the Results section on sequence capture reports no significant indel difference between untreated cells and cells given Cas9 with an empty gRNA; it identifies cleavage at only one off-target site. The Introduction and Discussion support broader detection and validation of off-target activity, but the paper does not establish sgRNA-independent off-target cleavage effects. (LLM, conf=0.88)
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Cites
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · see citing works
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386 · see citing works
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072 · see citing works
A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116 · see citing works
RNA-Guided Human Genome Engineering via Cas9
Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210 · see citing works
DNA targeting specificity of RNA-guided Cas9 nucleases
Hsu, P. D., Scott, D. A., Weinstein, J. A., Ran, F. A., Konermann, S., Agarwala, V., Li, Y., Fine, E. J., Wu, X., Shalem, O., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2647 · Cited by 4,741 · see citing works
CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696 · see citing works
Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity
Ran, F. A., Hsu, P. D., Lin, C.-Y., Gootenberg, J. S., Konermann, S., Trevino, A. E., Scott, D. A., Inoue, A., Matoba, S., Zhang, Y., et al. (2013) · Cell · doi:10.1016/j.cell.2013.08.021 · Cited by 3,299 · see citing works
High-Frequency off-Target Mutagenesis Induced by CRISPR-Cas Nucleases in Human Cells
Fu, Y., Foden, J. A., Khayter, C., Maeder, M. L., Reyon, D., Joung, J. K., & Sander, J. D. (2013) · Nature Biotechnology · doi:10.1038/nbt.2623 · Cited by 3,292 · see citing works
CRISPR-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153 · see citing works
GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases
Tsai, S. Q., Zheng, Z., Nguyen, N. T., Liebers, M., Topkar, V. V., Thapar, V., Wyvekens, N., Khayter, C., Iafrate, A. J., Le, L. P., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3117 · Cited by 2,268 · see citing works
Quantifying similarity between motifs
Gupta, S., Stamatoyannopoulos, J. A., Bailey, T. L., & Noble, W. S. (2007) · Genome Biology · doi:10.1186/gb-2007-8-2-r24 · Cited by 2,058 · see citing works
Improving CRISPR-Cas nuclease specificity using truncated guide RNAs
Fu, Y., Sander, J. D., Reyon, D., Cascio, V. M., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2808 · Cited by 1,993 · cited 2× · see citing works
“For example, it has been shown that by simply using a shorter complementary gRNA of 18 nucleotides instead of 20 nucleotides, off-target effects became undetectable while on-target activity remained the same (Fu et al. 2014).”
BackgroundTargeted genome engineering in human cells with the Cas9 RNA-guided endonuclease
Cho, S. W., Kim, S., Kim, J. M., & Kim, J.-S. (2013) · Nature Biotechnology · doi:10.1038/nbt.2507 · Cited by 1,863 · see citing works
MEME-ChIP: motif analysis of large DNA datasets
Machanick, P., & Bailey, T. L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr189 · Cited by 1,815 · see citing works
DNA interrogation by the CRISPR RNA-guided endonuclease Cas9
Sternberg, S. H., Redding, S., Jínek, M., Greene, E. C., & Doudna, J. A. (2014) · Nature · doi:10.1038/nature13011 · Cited by 1,775 · see citing works
Mali, P., Aach, J., Stranges, P. B., Esvelt, K. M., Moosburner, M., Kosuri, S., Yang, L., & Church, G. M. (2013) · Nature Biotechnology · doi:10.1038/nbt.2675 · Cited by 1,752 · see citing works
Pattanayak, V., Lin, S., Guilinger, J. P., Ma, E., Doudna, J. A., & Liu, D. R. (2013) · Nature Biotechnology · doi:10.1038/nbt.2673 · Cited by 1,487 · cited 12× · see citing works
“…based on sequence similarity or genome-wide binding analysis by ChIP-seq have not been reliable predictors of off-target cleavage by CRISPR/Cas9 (Cradick et al. 2013; Fu et al. 2013; Hsu 2013; Mali et al. 2013a; Pattanayak et al. 2013; Cho et al. 2014; Sander and Joung 2014; Wu et al. 2014).”
BackgroundMethodInfluentialGnirke, A., Melnikov, A., Maguire, J., Rogov, P., LeProust, E. M., Brockman, W., Fennell, T., Giannoukos, G., Fisher, S., Russ, C., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1523 · Cited by 1,433 · cited 2× · see citing works
“Next, we wanted to evaluate sequence capture as a highthroughput approach to simultaneously screen hundreds of potential off-target regions for indels and assess Cas9 activity at potential off-target sites (46).”
BackgroundMethodAnalysis of off-target effects of CRISPR/Cas-derived RNA-guided endonucleases and nickases
Cho, S. W., Kim, S., Kim, Y., Kweon, J., Kim, H. S., Bae, S., & Kim, J.-S. (2014) · Genome Research · doi:10.1101/gr.162339.113 · Cited by 1,356 · see citing works
RNA-guided gene activation by CRISPR-Cas9-based transcription factors
Perez-Pinera, P., Kocak, D. D., Vockley, C. M., Adler, A. F., Kabadi, A. M., Polstein, L. R., Thakore, P. I., Glass, K. A., Ousterout, D. G., Leong, K. W., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2600 · Cited by 1,328 · see citing works
CRISPR RNA–guided activation of endogenous human genes
Maeder, M. L., Linder, S. J., Cascio, V. M., Fu, Y., Ho, Q. H., & Joung, J. K. (2013) · Nature Methods · doi:10.1038/nmeth.2598 · Cited by 1,249 · see citing works
Cas9 as a versatile tool for engineering biology
Mali, P., Esvelt, K. M., & Church, G. M. (2013) · Nature Methods · doi:10.1038/nmeth.2649 · Cited by 1,197 · see citing works
Genome-wide binding of the CRISPR endonuclease Cas9 in mammalian cells
Wu, X., Scott, D. A., Kriz, A. J., Chiu, A. C., Hsu, P. D., Dadon, D. B., Cheng, A. W., Trevino, A. E., Konermann, S., Chen, S., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2889 · Cited by 944 · see citing works
R-Loop Formation Is a Distinctive Characteristic of Unmethylated Human CpG Island Promoters
Ginno, P. A., Lott, P. C., Christensen, H. C., Korf, I. F., & Chedin, F. L. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.01.017 · Cited by 912 · see citing works
Optical control of mammalian endogenous transcription and epigenetic states
Konermann, S., Brigham, M. D., Trevino, A. E., Hsu, P. D., Heidenreich, M., Cong, L., Platt, R. J., Scott, D. A., Church, G. M., & Zhang, F. (2013) · Nature · doi:10.1038/nature12466 · Cited by 803 · see citing works
Genome-wide analysis reveals characteristics of off-target sites bound by the Cas9 endonuclease
Kuscu, C., Arslan, S., Singh, R., Thorpe, J., & Adli, M. (2014) · Nature Biotechnology · doi:10.1038/nbt.2916 · Cited by 777 · see citing works
CRISPR-mediated direct mutation of cancer genes in the mouse liver
Xue, W., Chen, S., Yin, H., Tammela, T., Papagiannakopoulos, T., Joshi, N. S., Cai, W., Yang, G., Bronson, R., Crowley, D. G., et al. (2014) · Nature · doi:10.1038/nature13589 · Cited by 776 · see citing works
Minoche, A. E., Dohm, J. C., & Himmelbauer, H. (2011) · Genome biology · doi:10.1186/gb-2011-12-11-r112 · Cited by 620 · see citing works
CRISPR/Cas9 systems targeting β-globin and CCR5 genes have substantial off-target activity
Cradick, T. J., Fine, E. J., Antico, C. J., & Bao, G. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt714 · Cited by 590 · see citing works
Veres, A., Gosis, B. S., Ding, Q., Collins, R., Ragavendran, A., Brand, H., Erdin, S., Cowan, C. A., Talkowski, M. E., & Musunuru, K. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.04.020 · Cited by 474 · see citing works
CEAS: <i>cis</i>-regulatory element annotation system
Shin, H., Liu, T., Manrai, A. K., & Liu, X. S. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp479 · Cited by 461 · see citing works
An encyclopedia of mouse DNA elements (Mouse ENCODE)
Mouse ENCODE Consortium, Stamatoyannopoulos, J. A., Snyder, M., Hardison, R., Ren, B., Gingeras, T., Gilbert, D. M., Groudine, M., Bender, M., Kaul, R., et al. (2012) · Genome Biology · doi:10.1186/gb-2012-13-8-418 · Cited by 446 · see citing works
Direct observation of R-loop formation by single RNA-guided Cas9 and Cascade effector complexes
Szczelkun, M. D., Tikhomirova, M. S., Šinkūnas, T., Gasiūnas, G., Karvelis, T., Pschera, P., Šikšnys, V., & Seidel, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402597111 · Cited by 445 · see citing works
Locus-specific editing of histone modifications at endogenous enhancers
Mendenhall, E. M., Williamson, K. E., Reyon, D., Zou, J., Ram, O., Joung, J. K., & Bernstein, B. (2013) · Nature Biotechnology · doi:10.1038/nbt.2701 · Cited by 362 · see citing works
Ginno, P. A., Lim, Y. W., Lott, P. C., Korf, I. F., & Chedin, F. L. (2013) · Genome Research · doi:10.1101/gr.158436.113 · Cited by 346 · see citing works
Smith, C., Gore, A., Yan, W., Abalde-Atristain, L., Li, Z., He, C., Wang, Y., Brodsky, R. A., Zhang, K., Cheng, L., et al. (2014) · Cell stem cell · doi:10.1016/j.stem.2014.06.011 · Cited by 342 · see citing works
SRA- and SET-domain-containing proteins link RNA polymerase V occupancy to DNA methylation
Johnson, L. M., Du, J., Hale, C. J., Bischof, S., Feng, S., Chodavarapu, R. K., Zhong, X., Marson, G., Pellegrini, M. A., Segal, D. J., et al. (2014) · Nature · doi:10.1038/nature12931 · Cited by 331 · see citing works
Self-citationHenry, I. M., Nagalakshmi, U., Lieberman, M. C., Ngo, K. J., Krasileva, K. V., Vasquez-Gross, H. A., Akhunova, A. R., Akhunov, E., Dubcovsky, J., Tai, T. H., et al. (2014) · The Plant Cell · doi:10.1105/tpc.113.121590 · Cited by 268 · see citing works
Self-citationSequencing studies in human genetics: design and interpretation
Goldstein, D. B., Allen, A. S., Keebler, J., Margulies, E. H., Petrou, S., Petrovski, S., & Sunyaev, S. R. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3455 · Cited by 254 · see citing works
CEAS: cis-regulatory element annotation system
Ji, X., Li, W., Song, J. S., Wei, L., & Liu, X. S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl322 · Cited by 207 · see citing works
Young, M. A., Larson, D. E., Sun, C., George, D. R., Ding, L., Miller, C. A., Lin, L., Pawlik, K. M., Chen, K., Fan, X., et al. (2012) · Cell stem cell · doi:10.1016/j.stem.2012.03.002 · Cited by 199 · see citing works
Talkowski, M. E., Ernst, C., Heilbut, A. M., Chiang, C., Hanscom, C., Lindgren, A. M., Kirby, A. W., Liu, S., Muddukrishna, B., Ohsumi, T. K., et al. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.03.013 · Cited by 177 · see citing works
Roy, D., & Lieber, M. R. (2009) · Molecular and Cellular Biology · doi:10.1128/mcb.00139-09 · Cited by 176 · see citing works
Suzuki, K., Yu, C., Qu, J., Li, M., Yao, X., Yuan, T., Goebl, A., Tang, S., Ren, R., Aizawa, E., et al. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.06.016 · Cited by 169 · see citing works
Targeted silencing of the oncogenic transcription factor SOX2 in breast cancer
Stolzenburg, S., Rots, M. G., Beltrán, A. S., Rivenbark, A. G., Yuan, X., Qian, H., Strahl, B. D., & Blancafort, P. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks360 · Cited by 165 · see citing works
Genome editing of human pluripotent stem cells to generate human cellular disease models
Musunuru, K. (2013) · Disease Models & Mechanisms · doi:10.1242/dmm.012054 · Cited by 151 · see citing works
Genome-wide identification of CRISPR/Cas9 off-targets in human genome
Duan, J., Lu, G., Xie, Z., Lou, M., Luo, J., Guo, L., & Zhang, Y. (2014) · Cell Research · doi:10.1038/cr.2014.87 · Cited by 137 · see citing works
Highly active zinc-finger nucleases by extended modular assemblyPreprint
Bhakta, M. S., Henry, I. M., Ousterout, D. G., Das, K. T., Lockwood, S. H., Meckler, J. F., Wallen, M. C., Zykovich, A., Yu, Y., Leo, H., et al. (2012) · Genome Research · doi:10.1101/gr.143693.112 · Cited by 98 · see citing works
Self-citationTranscription Factor Effector Domains
Frietze, S. E., & Farnham, P. (2011) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-90-481-9069-0_12 · Cited by 82 · see citing works
Pickrell, J. K., Gaffney, D. J., Gilad, Y., & Pritchard, J. K. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr354 · Cited by 82 · see citing works
Using ChIP-seq Technology to Identify Targets of Zinc Finger Transcription Factors
O’Geen, H., Frietze, S. E., & Farnham, P. (2010) · Methods in molecular biology · doi:10.1007/978-1-60761-753-2_27 · Cited by 79 · see citing works
Self-citationGrimmer, M., Stolzenburg, S., Ford, E., Lister, R., Blancafort, P., & Farnham, P. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku708 · Cited by 66 · see citing works
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Research works printed but not linked: 1
- [41]Hsu P.D. DNA targeting specificity of RNA-guided Cas9 nucleases Nat. Biotechnol. 2013 31 827 832 23873081 PMC3969858
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Thakore, P. I., D'Ippolito, A. M., Song, L., Safi, A., Shivakumar, N. K., Kabadi, A. M., Reddy, T. E., Crawford, G. E., & Gersbach, C. A. (2015) · Nature Methods · doi:10.1038/nmeth.3630 · Cited by 1,012 · see citing works
Beyond editing: repurposing CRISPR-Cas9 for precision genome regulation and interrogation
Dominguez, A. A., Lim, W. A., & Qi, L. S. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2015.2 · Cited by 832 · see citing works
DeepCRISPR: Optimized CRISPR guide RNA design by deep learning
Chuai, G., Ma, H., Yan, J., Chen, M., Hong, N., Xue, D., Zhou, C., Zhu, C., Chen, K., Duan, B., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1459-4 · Cited by 641 · see citing works
Off-target effects in CRISPR/Cas9 gene editing
Guo, C., Ma, X., Gao, F., & Guo, Y. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1143157 · Cited by 625 · see citing works
“Nevertheless, accumulative studies have proved that sgRNAindependent off-target effects also exist, urging unbiased experimental detection and validation (Richter et al., 2020; O’Geen et al., 2015).”
BackgroundPast, present, and future of CRISPR genome editing technologies
Pacesa, M., Pelea, O., & Jinek, M. (2024) · Cell · doi:10.1016/j.cell.2024.01.042 · Cited by 609 · see citing works
Wang, H.-X., Li, M., Lee, C. M., Chakraborty, S., Kim, H.-W., Bao, G., & Leong, K. W. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00799 · Cited by 560 · see citing works
Editing the epigenome: technologies for programmable transcription and epigenetic modulation
Thakore, P. I., Black, J. B., Hilton, I. B., & Gersbach, C. A. (2016) · Nature Methods · doi:10.1038/nmeth.3733 · Cited by 451 · see citing works
Structural basis for Cas9 off-target activity
Pacesa, M., Lin, C.-H., Cléry, A., Saha, A., Arantes, P. R., Bargsten, K., Irby, M. J., Allain, F. H.-T., Palermo, G., Cameron, P., et al. (2022) · Cell · doi:10.1016/j.cell.2022.09.026 · Cited by 198 · see citing works
Incorporation of bridged nucleic acids into CRISPR RNAs improves Cas9 endonuclease specificity
Cromwell, C. R., Sung, K., Park, J., Krysler, A. R., Jovel, J., Kim, S. K., & Hubbard, B. P. (2018) · Nature Communications · doi:10.1038/s41467-018-03927-0 · Cited by 190 · see citing works
Lau, C.-H., & Suh, Y. (2017) · F1000Research · doi:10.12688/f1000research.11243.1 · Cited by 161 · see citing works
Genome-wide profiling of adenine base editor specificity by EndoV-seq
Liang, P., Xie, X., Zhi, S., Sun, H., Zhang, X., Chen, Y., Chen, Y., Xiong, Y., Ma, W., Liu, D., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07988-z · Cited by 148 · see citing works
Inhibition of HBV Expression in HBV Transgenic Mice Using AAV-Delivered CRISPR-SaCas9
Li, H., Sheng, C., Liu, H., Wang, S., Zhao, J., Yang, L., Jia, L., Li, P., Wang, L., Xie, J., et al. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02080 · Cited by 60 · see citing works
Genome-wide CRISPR off-target DNA break detection by the BLISS method
Ballarino, R., Bouwman, B. A. M., & Crosetto, N. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-0687-2_15 · Cited by 8 · see citing works
- Authors
- O'Geen, H., Henry, I. M., Bhakta, M. S., Meckler, J. F., & Segal, D. J.
- Affiliations
- University of California, Davis (US)
- Corresponding author
- Segal, David J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-02-20
- Volume
- 43
- Issue
- 6
- Pages
- 3389-3404
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC4381059
- OpenAlex
- W2150690792
- Cited by
- 219
- References
- 53
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 14 · 2023: 9 · 2022: 23 · 2021: 15 · 2020: 19 · 2019: 26 · 2018: 20 · 2017: 26 · 2016: 33 · 2015: 13 · 2014: 2 · 2013: 1
- FWCI
- 13.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Energy
- W. M. Keck Foundation
- National Institutes of Health (1c06rr012088-01, 1s10rr012964-01)
- Office of Science
- University of California, Davis
- National Heart, Lung, and Blood Institute (HL-086350, T32HL086350)
- National Human Genome Research Institute (R21HG006761, HG006761)
- National Cancer Institute (CA0933730)
- National Institute of General Medical Sciences (GM097073, R01GM097073)
- National Center for Research Resources (RR 026825, RR12964, S10RR026825, RR12088)
- Biological and Environmental Research
- Genome Center, University of California, Davis
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Health Sciences › Medicine › Oncology › CAR-T cell therapy research
- Keywords
- CRISPR/Cas9, off-target binding, SpCas9, targeted sequence capture, indels, endonuclease activity, genome editing
- MeSH terms
- RNA, Guide, CRISPR-Cas Systems, Animals, Bacterial Proteins, Base Sequence, Binding Sites, Cell Line, Streptococcus pyogenes, Mice, INDEL Mutation, Genome-Wide Association Study, Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR-Associated Proteins
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