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Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation
Open accessAbstract
While the catalog of mammalian transcripts and their expression levels in different cell types and disease states is rapidly expanding, our understanding of transcript function lags behind. We present a robust technology enabling systematic investigation of the cellular consequences of repressing or inducing individual transcripts. We identify rules for specific targeting of transcriptional repressors (CRISPRi), typically achieving 90%-99% knockdown with minimal off-target effects, and activators (CRISPRa) to endogenous genes via endonuclease-deficient Cas9. Together they enable modulation of gene expression over a ∼1,000-fold range. Using these rules, we construct genome-scale CRISPRi and CRISPRa libraries, each of which we validate with two pooled screens. Growth-based screens identify essential genes, tumor suppressors, and regulators of differentiation. Screens for sensitivity to a cholera-diphtheria toxin provide broad insights into the mechanisms of pathogen entry, retrotranslocation and toxicity. Our results establish CRISPRi and CRISPRa as powerful tools that provide rich and complementary information for mapping complex pathways.
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“Compared with gain-of-function perturbations, a higher proportion of loss-of-function perturbations yield phenotypes in growth and chemical-genetic screens, especially for members of protein complexes (Gilbert et al., 2014; Horlbeck et al., 2016).”
From Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq (2022) · cites this paper as Gilbert et al., 2014
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“For example, CRISPRi (interference)23–25 and CRISPRa (activation)26–30 technologies utilize catalytically inactive Cas9 (dCas9) fused to either a transcriptional repressor (e.g., KRAB, Krüppel associated box) or a transcriptional activator (e.g., VPR, VP64-p65-Rta).”
From Large-scale CRISPR screening in primary human 3D gastric organoids enables comprehensive dissection of gene-drug interactions (2025) · cites this paper as [28]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Alternatives to DNA cleavage-induced editing include using CRISPR-Cas9 for direct chemical sequence alteration (base editing) 25,26 , providing RNA templates for gene alteration (prime editing) 27,28 , and for transcriptional control (CRISPR interference, CRISPRi; CRISPR activation, CRISPRa) 29,30 (Fig. 3).”
From The promise and challenge of therapeutic genome editing (2020) · cites this paper as [30]
Experimental — accuracy not yet measuredIn the citing paper
“Pooling gene perturbations greatly improves scalability, but is not compatible with imaging of complex and dynamic cellular phenotypes.”
From Optical Pooled Screens in Human Cells (2019) · cites this paper as Gilbert et al., 2014
In the citing paper
“Striking examples are familial mutations causing neurodegenerative diseases, such as hereditary motor and sensory neuropathies (Charcot-Marie-Tooth disease), which can be caused by mutations in ubiquitously expressed trafficking factors (RAB7A, DNM2, DYNC1H1), or aminoacyl-tRNA synthetases (AARS, GARS, HARS, MARS)2.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [2]
In the citing paper
“In addition to gene expression, gene function can also be cell type-specific, as evidenced by the fact that mutations in broadly expressed or housekeeping genes can lead to cell-type specific defects and disease states.”
From Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis (2021) · cites this paper as [2]
In the citing paper
“CRISPRa evaluates gain-of-function phenotypes and can provide complementary insight to CRISPR knockout or CRISPRi-based loss-of-function screens42.”
From CRISPR-based functional genomics for neurological disease (2020) · cites this paper as [42]
In the citing paper
“CRISPRi-based gene knockdown may result in weaker phenotypes than full gene knockout, however it is non-toxic in iPSCs and iPSC-derived cells76, inducible76 and reversible42, thereby enabling time-resolved analysis of gene function76.”
From CRISPR-based functional genomics for neurological disease (2020) · cites this paper as [42]
In the citing paper
“CRISPRi represents an important advance over RNAi, since it lacks the pervasive off-target effects (Gilbert et al., 2014) inherent to RNAi-based screening approaches (Adamson et al., 2012; Jackson et al., 2003; Kaelin, 2012).”
From CRISPR Interference-Based Platform for Multimodal Genetic Screens in Human iPSC-Derived Neurons (2019) · cites this paper as Gilbert et al., 2014
In the citing paper
“Second, it is inducible and reversible (Gilbert et al., 2014)”
From CRISPR Interference-Based Platform for Multimodal Genetic Screens in Human iPSC-Derived Neurons (2019) · cites this paper as Gilbert et al., 2014
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Citations
Cites
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Takahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197
Vogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863
Genome-scale CRISPR-Cas9 knockout screening in human cells
Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., Heckl, D., Ebert, B. L., Root, D. E., Doench, J. G., et al. (2014) · Science · doi:10.1126/science.1247005 · Cited by 5,234
Landscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
Derrien, T., Johnson, R., Bussotti, G., Andrea Tanzer, A., Djebali, S., Tilgner, H., Guernec, G., Martin, D., Merkel, A., Knowles, D. G., et al. (2012) · Genome Research · doi:10.1101/gr.132159.111 · Cited by 5,135
Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016
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Items 601–700 of 1,008
Proteomics to study DNA-bound and chromatin-associated gene regulatory complexes
Wierer, M., & Mann, M. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw208 · Cited by 71
RABIF/MSS4 is a Rab-stabilizing holdase chaperone required for GLUT4 exocytosis
Gulbranson, D. R., Davis, E. M., Demmitt, B. A., Ouyang, Y., Ye, Y., Yu, H., & Shen, J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1712176114 · Cited by 67
A high-content RNAi screen reveals multiple roles for long noncoding RNAs in cell division
Stojic, L., Lun, A. T. L., Mascalchi, P., Ernst, C., Redmond, A. M., Mangei, J., Barr, A. R., Bousgouni, V., Bakal, C., Marioni, J. C., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14978-7 · Cited by 67
Gene and cell‐based therapies for inherited retinal disorders: An update
Sengillo, J. D., Justus, S., Tsai, Y., Cabral, T., & Tsang, S. H. (2016) · American Journal of Medical Genetics Part C Seminars in Medical Genetics · doi:10.1002/ajmg.c.31534 · Cited by 70
Peng, R., Wang, Y., Feng, W.-W., Yue, X., Chen, J.-H., Hu, X.-Z., Li, Z., Sheng, D., Zhang, Y., & Li, Y. (2018) · Microbial Cell Factories · doi:10.1186/s12934-018-0867-1 · Cited by 65
Genome editing in cardiovascular diseases
Mani, I. (2021) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2021.01.021 · Cited by 66
Transcriptional Activation of Biosynthetic Gene Clusters in Filamentous Fungi
Mózsik, L., Iacovelli, R., Bovenberg, R. A. L., & Driessen, A. J. M. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.901037 · Cited by 68
Strategies for precision modulation of gene expression by epigenome editing: an overview
Laufer, B. I., & Singh, S. M. (2015) · Epigenetics & Chromatin · doi:10.1186/s13072-015-0023-7 · Cited by 70
Applying CRISPR–Cas9 tools to identify and characterize transcriptional enhancers
Lopes, R., Korkmaz, G., & Agami, R. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.79 · Cited by 65
Genome-wide CRISPR-Cas9 screening in mammalian cells
Yu, J., & Yusa, K. (2019) · Methods · doi:10.1016/j.ymeth.2019.04.015 · Cited by 66
Liao, Z., Ye, Z., Xue, Z., Wu, L., Ouyang, Y., Yao, C., Cui, C., Xu, N., Ma, J., Hou, G., et al. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00975 · Cited by 64
FAM13A affects body fat distribution and adipocyte function
Fathzadeh, M., Li, J., Rao, A. S., Cook, N. L., Chennamsetty, I., Seldin, M. M., Zhou, X. D., Sangwung, P., Gloudemans, M. J., Keller, M. P., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15291-z · Cited by 64
Designed nucleases for targeted genome editing
Lee, J., Chung, J., Kim, H. M., Kim, S., & Kim, S. (2015) · Plant Biotechnology Journal · doi:10.1111/pbi.12465 · Cited by 70
Zhu, Y., Tazearslan, C., & Suh, Y. (2017) · Experimental Biology and Medicine · doi:10.1177/1535370217713750 · Cited by 68
CRISPR/Cas9 Epigenome Editing Potential for Rare Imprinting Diseases: A Review
Syding, L. A., Nickl, P., Kašpárek, P., & Sedláček, R. (2020) · Cells · doi:10.3390/cells9040993 · Cited by 65
From Junk to Function: LncRNAs in CNS Health and Disease
Policarpo, R., Sierksma, A. S. R., Strooper, B. D., & d’Ydewalle, C. V. O. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.714768 · Cited by 63
Xiao, W., Wang, J., Wang, X., Cai, S., Guo, Y., Ye, L., Li, D., Hu, A., Jin, S., Yuan, B., et al. (2022) · Autophagy · doi:10.1080/15548627.2022.2044651 · Cited by 66
Stepwise-edited, human melanoma models reveal mutations’ effect on tumor and microenvironment
Hodis, E., Triglia, E. T., Kwon, J., Biancalani, T., Zakka, L. R., Parkar, S., Hütter, J.-C., Buffoni, L., Delorey, T. M., Phillips, D., et al. (2022) · Science · doi:10.1126/science.abi8175 · Cited by 61
Update of neurotrophic factors in neurobiology of addiction and future directions
Koskela, M., Bäck, S., Võikar, V., Richie, C. T., Domanskyi, A., Harvey, B. K., & Airavaara, M. (2016) · Neurobiology of Disease · doi:10.1016/j.nbd.2016.05.010 · Cited by 72
Reversible Disruption of Specific Transcription Factor-DNA Interactions Using CRISPR/Cas9
Shariati, S. A., Dominguez, A. A., Xie, S., Wernig, M., Qi, L. S., & Skotheim, J. M. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.04.011 · Cited by 69
Self-citationHigh‐resolution mapping of cancer cell networks using co‐functional interactions
Boyle, E. A., Pritchard, J. K., & Greenleaf, W. J. (2018) · Molecular Systems Biology · doi:10.15252/msb.20188594 · Cited by 63
Effective knockdown of Drosophila long non-coding RNAs by CRISPR interference
Ghosh, S., Tibbit, C., & Liu, J. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw063 · Cited by 62
LncRNAs in Cancer: From garbage to Junk
Aprile, M., Katopodi, V., Leucci, E., & Costa, V. (2020) · Cancers · doi:10.3390/cancers12113220 · Cited by 63
Ahmed, M., Soares, F., Xia, J., Yang, Y., Li, J., Guo, H., Su, P., Tian, Y., Lee, H. J., Wang, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21867-0 · Cited by 61
Application of CRISPR/Cas9 for biomedical discoveries
Riordan, S. M., Heruth, D. P., Zhang, L. Q., & Ye, S. Q. (2015) · Cell & Bioscience · doi:10.1186/s13578-015-0027-9 · Cited by 66
NuRD and CAF-1-mediated silencing of the D4Z4 array is modulated by DUX4-induced MBD3L proteins
Campbell, A. E., Shadle, S. C., Jagannathan, S., Lim, J.-W., Resnick, R., Tawil, R., van der Maarel, S. M., & Tapscott, S. J. (2018) · eLife · doi:10.7554/elife.31023 · Cited by 62
Integrated analyses of murine breast cancer models reveal critical parallels with human disease
Rennhack, J. P., To, B., Swiatnicki, M., Dulak, C., Ogrodzinski, M. P., Zhang, Y., Li, C., Bylett, E., Ross, C. R., Szczepanek, K., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11236-3 · Cited by 66
Pharmaceutical-Grade Rigosertib Is a Microtubule-Destabilizing Agent
Jost, M., Chen, Y., Gilbert, L. A., Horlbeck, M. A., Krenning, L., Menchon, G., Rai, A., Cho, M. Y., Stern, J. J., Prota, A. E., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.06.008 · Cited by 61
Self-citationMassively parallel high-order combinatorial genetics in human cells
Wong, A. S. L., Choi, G. C. G., Cheng, A. A., Purcell, O., & Lu, T. K. (2015) · Nature Biotechnology · doi:10.1038/nbt.3326 · Cited by 60
Single-molecule and super-resolution imaging of transcription in living bacteria
Stracy, M., & Kapanidis, A. N. (2017) · Methods · doi:10.1016/j.ymeth.2017.04.001 · Cited by 61
High‐throughput screens in mammalian cells using the CRISPR‐Cas9 system
Peng, J., Zhou, Y., Zhu, S., & Wei, W. (2015) · FEBS Journal · doi:10.1111/febs.13251 · Cited by 60
CRISPR-Cas gene editing technology and its application prospect in medicinal plants
Guo, M., Chen, H., Dong, S., Zhang, Z., & Luo, H. (2022) · Chinese Medicine · doi:10.1186/s13020-022-00584-w · Cited by 66
Baisya, D. R., Ramesh, A., Schwartz, C., Lonardi, S., & Wheeldon, I. R. (2022) · Nature Communications · doi:10.1038/s41467-022-28540-0 · Cited by 60
Toward the Development of Epigenome Editing-Based Therapeutics: Potentials and Challenges
Ueda, J., Yamazaki, T., & Funakoshi, H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054778 · Cited by 60
CRISPRi-based circuits to control gene expression in plants
Khan, M. A., Herring, G., Zhu, J. Y., Oliva, M., Fourie, E., Johnston, B., Zhang, Z., Potter, J., Pineda, L., Pflueger, J., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02236-w · Cited by 60
Saunders, R. A., Allen, W. E., Pan, X., Sandhu, J., Lu, J., Lau, T. K., Smolyar, K., Sullivan, Z. A., Dulac, C. G., Weissman, J. S., et al. (2025) · Cell · doi:10.1016/j.cell.2025.05.022 · Cited by 82
Self-citationPark, J., Kim, J., & Bae, S. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw103 · Cited by 59
Expansion of CRISPR targeting sites in Bombyx mori
Zeng, B., Zhan, S., Wang, Y., Huang, Y., Xu, J. Q., Liu, Q., Li, Z., Huang, Y., & Tan, A. (2016) · Insect Biochemistry and Molecular Biology · doi:10.1016/j.ibmb.2016.03.006 · Cited by 60
Mammalian Synthetic Biology: Engineering Biological Systems
Black, J. B., Pérez‐Piñera, P., & Gersbach, C. A. (2017) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071516-044649 · Cited by 60
Painting a specific chromosome with CRISPR/Cas9 for live-cell imaging
Zhou, Y., Wang, P., Tian, F., Gao, G., Huang, L., Wei, W., & Xie, X. S. (2017) · Cell Research · doi:10.1038/cr.2017.9 · Cited by 60
CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens
Daley, T., Lin, Z., Lin, X., Liu, Y., Wong, W. H., & Qi, L. S. (2018) · Genome biology · doi:10.1186/s13059-018-1538-6 · Cited by 58
Self-citationWang, J., Zhang, C., & Feng, B. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.15039 · Cited by 61
Li, K., Zhang, Y., Liu, X., Liu, Y., Gu, Z., Cao, H., Dickerson, K. E., Chen, M., Chen, W., Shao, Z., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1128 · Cited by 61
Jia, Y., Li, L., Lin, Y.-H., Gopal, P., Shen, S., Zhou, K., Yu, X., Sharma, T., Zhang, Y., Siegwart, D. J., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2022.01.001 · Cited by 59
CRISPR/Cas9 system: a reliable and facile genome editing tool in modern biology
Javaid, D., Ganie, S. Y., Hajam, Y. A., & Reshi, M. S. (2022) · Molecular Biology Reports · doi:10.1007/s11033-022-07880-6 · Cited by 65
Lnc ing Epigenetic Control of Transcription to Cardiovascular Development and Disease
Rizki, G., & Boyer, L. A. (2015) · Circulation Research · doi:10.1161/circresaha.117.304156 · Cited by 60
CRISPR-Cas9 for medical genetic screens: applications and future perspectives
Xue, H.-Y., Ji, L.-J., Gao, A.-M., Liu, P., He, J.-D., & Lu, X. (2015) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2015-103409 · Cited by 62
Developments in lncRNA drug discovery: where are we heading?
Blokhin, I. O., Khorkova, O., Hsiao, J. H., & Wahlestedt, C. (2018) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2018.1501024 · Cited by 56
Imkeller, K., Ambrosi, G., Boutros, M., & Huber, W. K. (2020) · Genome biology · doi:10.1186/s13059-020-1939-1 · Cited by 58
Mo, X., Zhang, H., Wang, T., Zhang, C., Zhang, C., Xing, X., & Yang, S. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-020-10543-w · Cited by 59
Jiang, L., Dalgarno, C., Papalexi, E., Mascio, I., Wessels, H., Yun, H., Iremadze, N., Lithwick‐Yanai, G., Lipson, D., & Satija, R. (2025) · Nature Cell Biology · doi:10.1038/s41556-025-01622-z · Cited by 77
CRISPR screens in iPSC-derived neurons reveal principles of tau proteostasis
Samelson, A. J., Ariqat, N., McKetney, J., Rohanitazangi, G., Bravo, C., Bose, R., Travaglini, K. J., Lam, V. L., Goodness, D., Ta, T., et al. (2026) · Cell · doi:10.1016/j.cell.2025.12.038 · Cited by 65
Self-citationConnecting genotypes, phenotypes and fitness: harnessing the power of CRISPR /Cas9 genome editing
Bono, J. M., Olesnicky, E. C., & Matzkin, L. M. (2015) · Molecular Ecology · doi:10.1111/mec.13252 · Cited by 61
Hu, J. H., Davis, K. M., & Liu, D. R. (2016) · Cell chemical biology · doi:10.1016/j.chembiol.2015.12.009 · Cited by 61
Genome Editing by CRISPR /Cas9: A Game Change in the Genetic Manipulation of Protists
Lander, N., Chiurillo, M. Á., & Docampo, R. (2016) · Journal of Eukaryotic Microbiology · doi:10.1111/jeu.12338 · Cited by 63
CRISPR/Cas9-mediated genome editing in plants
Liu, X., Xie, C., Si, H., & Yang, J. (2017) · Methods · doi:10.1016/j.ymeth.2017.03.009 · Cited by 63
CRISPR-Cas9 based plant genome editing: Significance, opportunities and recent advances
Soda, N., Verma, L., & Giri, J. (2017) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2017.10.024 · Cited by 59
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Orchard, R. C., Sullender, M. E., Dunlap, B. F., Balce, D. R., Doench, J. G., & Virgin, H. W. (2018) · Journal of Virology · doi:10.1128/jvi.01324-18 · Cited by 56
Diakatou, M., Manès, G., Bocquet, B., Meunier, I., & Kalatzis, V. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102542 · Cited by 59
Momen-Roknabadi, A., Oikonomou, P., Zegans, M., & Tavazoie, S. (2020) · Communications Biology · doi:10.1038/s42003-020-01452-9 · Cited by 58
Kim, H. S., Lee, K., Kim, S., Cho, S., Shin, H. J., Kim, C., & Kim, J. (2018) · Genome Research · doi:10.1101/gr.230250.117 · Cited by 61
Tycko, J., Van, M. V., Aradhana, DelRosso, N., Ye, H., Yao, D., Valbuena, R., Vaughan-Jackson, A., Xu, X., Ludwig, C., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02442-6 · Cited by 57
Self-citationCRISPR-based gene expression control for synthetic gene circuits
Santos‐Moreno, J., & Schaerli, Y. (2020) · Biochemical Society Transactions · doi:10.1042/bst20200020 · Cited by 59
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Zheng, C., Wei, Y., Zhang, Q., Sun, M., Wang, Y., Hou, J., Zhang, P., Lv, X., Su, D., Jiang, Y., et al. (2023) · Science Advances · doi:10.1126/sciadv.adf3984 · Cited by 57
Self-citationCRISPR/Cas: a powerful tool for designing and improving oil crops
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Chidley, C., Trauger, S. A., Birsoy, K., & O’Shea, E. K. (2016) · eLife · doi:10.7554/elife.14601 · Cited by 59
Comparative genetic screens in human cells reveal new regulatory mechanisms in WNT signaling
Lebensohn, A. M., Dubey, R., Neitzel, L. R., Tacchelly‐Benites, O., Yang, E., Marceau, C. D., Davis, E. M., Patel, B. B., Bahrami-Nejad, Z., Travaglini, K. J., et al. (2016) · eLife · doi:10.7554/elife.21459 · Cited by 57
Next-Generation Sequencing of Genome-Wide CRISPR Screens
Yau, E. H., & Rana, T. M. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7514-3_13 · Cited by 57
le Sage, C., Lawo, S., Panicker, P., Scales, T. M. E., Rahman, S. A., Little, A. S., McCarthy, N., Moore, J. D., & Cross, B. C. S. (2017) · Scientific Reports · doi:10.1038/s41598-017-18172-6 · Cited by 54
Yu, Z., Surface, L. E., Park, C. Y., Horlbeck, M. A., Wyant, G. A., Abu-Remaileh, M., Peterson, T. R., Sabatini, D. M., Weissman, J. S., & O’Shea, E. K. (2018) · eLife · doi:10.7554/elife.36620 · Cited by 58
Self-citationCRISPR-Based Tools in Immunity
Simeonov, D. R., & Marson, A. (2019) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042718-041522 · Cited by 57
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Wang, C., Cao, Y., Yang, C. G., Bernards, R., & Qin, W. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-021-00465-x · Cited by 58
Zhan, T., & Boutros, M. (2015) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.3109/10409238.2015.1117053 · Cited by 56
Martella, A., Firth, M. A., Taylor, B., Göppert, A., Cuomo, E. M., Roth, R. G., Dickson, A. J., & Fisher, D. I. (2019) · ACS Synthetic Biology · doi:10.1021/acssynbio.8b00527 · Cited by 56
Epigenetic editing: Dissecting chromatin function in context
Policarpi, C., Dabin, J., & Hackett, J. A. (2021) · BioEssays · doi:10.1002/bies.202000316 · Cited by 54
Increase in Phytoextraction Potential by Genome Editing and Transformation: A Review
Venegas-Rioseco, J., Ginocchio, R., & Ortíz-Calderón, C. (2021) · Plants · doi:10.3390/plants11010086 · Cited by 58
Chesner, L. N., Polesso, F., Graff, J. N., Hawley, J. E., Smith, A. K., Lundberg, A., Das, R., Shenoy, T., Sjöström, M., Zhao, F., et al. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-24-0559 · Cited by 60
Self-citationNetwork analysis of gene essentiality in functional genomics experiments
Jiang, P., Wang, H., Li, W., Zang, C., Li, B., Wong, Y. J., Meyer, C. A., Liu, J. S., Aster, J. C., & Liu, X. S. (2015) · Genome biology · doi:10.1186/s13059-015-0808-9 · Cited by 59
CRISPR/Cas9: From Genome Engineering to Cancer Drug Discovery
Luo, J. (2016) · Trends in cancer · doi:10.1016/j.trecan.2016.05.001 · Cited by 57
Design principles for nuclease-deficient CRISPR-based transcriptional regulators
Jensen, M. K. (2018) · FEMS Yeast Research · doi:10.1093/femsyr/foy039 · Cited by 58
Mendelsohn, B. A., Bennett, N. K., Darch, M. A., Yu, K., Nguyen, M. K., Pucciarelli, D., Nelson, M. R., Horlbeck, M. A., Gilbert, L. A., Hyun, W. C., et al. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2004624 · Cited by 55
Self-citationLi, P., Fu, X., Zhang, L., & Li, S. (2018) · Microbial Biotechnology · doi:10.1111/1751-7915.13333 · Cited by 56
Yu, J., Peng, J., & Chi, H. (2019) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2019.03.003 · Cited by 61
CRISPR-based screens uncover determinants of immunotherapy response in multiple myeloma
Ramkumar, P., Abarientos, A., Tian, R., Seyler, M., Leong, J. T., Chen, M., Choudhry, P., Hechler, T., Shah, N. D., Wong, S. W. K., et al. (2020) · Blood Advances · doi:10.1182/bloodadvances.2019001346 · Cited by 55
Self-citationCRISPR-Cas Activators for Engineering Gene Expression in Higher Eukaryotes
Casas-Mollano, J. A., Zinselmeier, M. H., Erickson, S. E., & Smanski, M. J. (2020) · The CRISPR Journal · doi:10.1089/crispr.2020.0064 · Cited by 58
Jeong, H.-H., Kim, S., Rousseaux, M. W. C., Zoghbi, H. Y., & Liu, Z. (2019) · Genome Research · doi:10.1101/gr.245571.118 · Cited by 56
Fokum, E., Zabed, H. M., Guo, Q. J., Yun, J., Yang, M., Pang, H., An, Y., Li, W., & Qi, X. (2019) · Food Bioscience · doi:10.1016/j.fbio.2019.01.003 · Cited by 55
Fang, E., Wang, X., Wang, J., Hu, A., Song, H., Yang, F., Li, D., Xiao, W., Chen, Y., Guo, Y., et al. (2020) · Theranostics · doi:10.7150/thno.37383 · Cited by 56
Self-citationGenolet, O., Monaco, A. A., Dunkel, I., Boettcher, M., & Schulz, E. G. (2021) · Genome biology · doi:10.1186/s13059-021-02321-2 · Cited by 56
Systematic decomposition of sequence determinants governing CRISPR/Cas9 specificity
Fu, R., He, W., Dou, J., Villarreal, O. D., Bedford, E., Wang, H. H., Hou, C., Zhang, L., Wang, Y., Ma, D., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28028-x · Cited by 59
Self-citationMouridi, S. E., Alkhaldi, F., & Frøkjær‐Jensen, C. (2022) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkac184 · Cited by 48
Gowen, B. G., Chim, B., Marceau, C. D., Greene, T. T., Burr, P., Gonzalez, J. R., Hesser, C. R., Dietzen, P. A., Russell, T. A., Iannello, A., et al. (2015) · eLife · doi:10.7554/elife.08474 · Cited by 52
A method for high‐throughput production of sequence‐verified DNA libraries and strain collections
Smith, J., Schlecht, U., Xu, W., Suresh, S., Horecka, J., Proctor, M. J., Aiyar, R. S., Bennett, R. A. O., Chu, A. M., Li, Y. F., et al. (2017) · Molecular Systems Biology · doi:10.15252/msb.20167233 · Cited by 56
Wnt/Tcf1 pathway restricts embryonic stem cell cycle through activation of the Ink4/Arf locus
Jaime-Soguero, A. D., Aulicino, F., Ertaylan, G., Griego, A., Cerrato, A., Tallam, A., del Sol, A., Cosma, M. P., & Lluís, F. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006682 · Cited by 58
The KAT5-Acetyl-Histone4-Brd4 axis silences HIV-1 transcription and promotes viral latency
Li, Z., Mbonye, U. R., Feng, Z., Wang, X., Gao, X., Karn, J., & Zhou, Q. (2018) · PLoS Pathogens · doi:10.1371/journal.ppat.1007012 · Cited by 55
Targeting Non-coding RNA in Vascular Biology and Disease
Hung, J., Miscianinov, V., Sluimer, J. C., Newby, D. E., & Baker, A. H. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01655 · Cited by 57
An inducible CRISPR-ON system for controllable gene activation in human pluripotent stem cells
Guo, J., Ma, D., Huang, R., Ming, J., Ye, M., Kee, K., Xie, Z., & Na, J. (2017) · Protein & Cell · doi:10.1007/s13238-016-0360-8 · Cited by 55
Metadata
- Authors
- Gilbert, L. A., Horlbeck, M. A., Adamson, B., Villalta, J. E., Chen, Y., Whitehead, E. H., Guimaraes, C., Panning, B., Ploegh, H. L., Bassik, M. C., Qi, L. S., Kampmann, M., & Weissman, J. S.
- Affiliations
- QB3 (US)
- University of California, San Francisco (US)
- Whitehead Institute for Biomedical Research (US)
- Corresponding author
- Kampmann, Martin
- Weissman, Jonathan S.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 159
- Issue
- 3
- Pages
- 647-661
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4253859
- OpenAlex
- W2152505144
- Cited by
- 2,728
- References
- 60
- Citations by year
- 2026: 190 · 2025: 211 · 2024: 265 · 2023: 212 · 2022: 261 · 2021: 285 · 2020: 285 · 2019: 255 · 2018: 221 · 2017: 214 · 2016: 182 · 2015: 125 · 2014: 14
- FWCI
- 73.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- eScholarship (California Digital Library) (submittedVersion)
- PMC
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (DP5OD017887, 1dp2hd084069-01)
- National Institute on Aging (P01AG010770)
- National Institute on Drug Abuse (R01DA036858)
- National Cancer Institute (K99CA181494, U01CA168370)
- National Institute of General Medical Sciences (T32GM008284, P50GM081879, R01GM100341, P50GM102706, R01GM100518)
- National Institute of Biomedical Imaging and Bioengineering (T32EB009383)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Keywords
- CRISPR interference, CRISPR activation, transcriptional repression, transcriptional activation, gene essentiality, tumor suppressor, cholera toxin, diphtheria toxin, pathogen entry, retrotranslocation, off-target effects
- MeSH terms
- Cell Line, Cholera Toxin, Diphtheria Toxin, Genetic Techniques, Humans, Transcription, Genetic, Genome, Human, CRISPR-Cas Systems
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