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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
Self-citation
Cited by
Sorted by citations
Items 501–600 of 1,008
Image-based pooled whole-genome CRISPRi screening for subcellular phenotypes
Kanfer, G., Sarraf, S. A., Maman, Y., Baldwin, H. A., Domínguez‐Martín, E., Johnson, K. R., Ward, M. E., Kampmann, M., Lippincott‐Schwartz, J., & Youle, R. J. (2020) · The Journal of Cell Biology · doi:10.1083/jcb.202006180 · Cited by 83
Self-citationScalable Functional Assays for the Interpretation of Human Genetic Variation
Tabet, D. R., Parikh, V. N., Mali, P., Roth, F. P., & Claussnitzer, M. (2022) · Annual Review of Genetics · doi:10.1146/annurev-genet-072920-032107 · Cited by 84
Genetic and epigenetic control of gene expression by CRISPR–Cas systems
Lo, A., & Qi, L. (2017) · F1000Research · doi:10.12688/f1000research.11113.1 · Cited by 72
Self-citationAnderson, G. R., Winter, P. S., Lin, K. H., Nussbaum, D. P., Cakir, M., Stein, E. M., Soderquist, R. S., Crawford, L., Leeds, J. C., Newcomb, R., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.07.006 · Cited by 80
Imaging Specific Genomic DNA in Living Cells
Chen, B., Guan, J., & Huang, B. (2016) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-062215-010830 · Cited by 77
Design, execution, and analysis of pooled in vitro CRISPR /Cas9 screens
Miles, L. A., Garippa, R. J., & Poirier, J. T. (2016) · FEBS Journal · doi:10.1111/febs.13770 · Cited by 78
Ji, H., Jiang, Z., Lu, P., Ma, L., Li, C., Pan, H., Fu, Z., Qu, X., Wang, P., Deng, J., et al. (2016) · Molecular Therapy · doi:10.1038/mt.2016.7 · Cited by 80
CRISPR system in filamentous fungi: Current achievements and future directions
Deng, H., Gao, R., Liao, X., & Cai, Y. (2017) · Gene · doi:10.1016/j.gene.2017.06.019 · Cited by 81
L1 retrotransposition in the soma: a field jumping ahead
Faulkner, G. J., & Billon, V. (2018) · Mobile DNA · doi:10.1186/s13100-018-0128-1 · Cited by 85
Truong, V. A., Hsu, M., Nguyen, N. T. K., Lin, M., Shen, C., Lin, C., & Hu, Y. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz267 · Cited by 78
Transcriptional control by enhancers and enhancer RNAs
Lewis, M. W., Shen, L., & Franco, H. L. (2019) · Transcription · doi:10.1080/21541264.2019.1695492 · Cited by 84
Mouse γ-Synuclein Promoter-Mediated Gene Expression and Editing in Mammalian Retinal Ganglion Cells
Qizhao, W., Zhuang, P., Huang, H., Li, L., Liu, L., Webber, H. C., Dalal, R., Siew, L., Fligor, C. M., Chang, K., et al. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0102-20.2020 · Cited by 82
Yang, F., Hu, A., Guo, Y., Wang, J., Li, D., Wang, X., Jin, S., Yuan, B., Cai, S., Zhou, Y., et al. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01421-8 · Cited by 79
Heman-Ackah, S. M., Bassett, A. R., & Wood, M. J. A. (2016) · Scientific Reports · doi:10.1038/srep28420 · Cited by 77
Optimized strategy for in vivo Cas9-activation in Drosophila
Ewen‐Campen, B., Yang‐Zhou, D., Fernandes, V. R., González, D. P., Liu, L., Tao, R., Ren, X., Sun, J., Hu, Y., Zirin, J. D., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707635114 · Cited by 78
Placental imprinting: Emerging mechanisms and functions
Hanna, C. W. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008709 · Cited by 78
Conserved Functions of Ether Lipids and Sphingolipids in the Early Secretory Pathway
Jiménez‐Rojo, N., Leonetti, M. D., Zoni, V., Colom, A., Feng, S., Iyengar, N. R., Matile, S., Roux, A., Vanni, S., Weissman, J. S., et al. (2020) · Current Biology · doi:10.1016/j.cub.2020.07.059 · Cited by 78
Self-citationBRD2 inhibition blocks SARS-CoV-2 infection by reducing transcription of the host cell receptor ACE2
Samelson, A. J., Tran, Q. D., Robinot, R., Carrau, L., Rezelj, V. V., Kain, A. M., Chen, M., Ramadoss, G. N., Guo, X., Lim, S. A., et al. (2022) · Nature Cell Biology · doi:10.1038/s41556-021-00821-8 · Cited by 76
Self-citationHigh-throughput, image-based screening of pooled genetic-variant libraries
Emanuel, G., Moffitt, J. R., & Zhuang, X. (2017) · Nature Methods · doi:10.1038/nmeth.4495 · Cited by 77
A CRISPR Activation Screen Identifies Genes That Protect against Zika Virus Infection
Dukhovny, A., Lamkiewicz, K., Chen, Q., Fricke, M., Jabrane‐Ferrat, N., Marz, M., Jung, J. U., & Sklan, E. H. (2019) · Journal of Virology · doi:10.1128/jvi.00211-19 · Cited by 78
Nix, M. A., Mandal, K., Geng, H., Paranjape, N., Lin, Y.-H. T., Rivera, J. M., Marcoulis, M., White, K. L., Whitman, J. D., Bapat, S. P., et al. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-0242 · Cited by 72
Genome-scale CRISPR pooled screens
Sanjana, N. E. (2016) · Analytical Biochemistry · doi:10.1016/j.ab.2016.05.014 · Cited by 81
Next stop for the CRISPR revolution: RNA‐guided epigenetic regulators
Vora, S., Tuttle, M. L., Cheng, J. Y., & Church, G. M. (2016) · FEBS Journal · doi:10.1111/febs.13768 · Cited by 75
A B Cell Regulome Links Notch to Downstream Oncogenic Pathways in Small B Cell Lymphomas
Ryan, R. J. H., Petrovic, J., Rausch, D. M., Zhou, Y., Lareau, C. A., Kluk, M., Christie, A. L., Lee, W. Y., Tarjan, D. R., Guo, B., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.09.066 · Cited by 77
The MITF-SOX10 regulated long non-coding RNA DIRC3 is a melanoma tumour suppressor
Coe, E. A., Tan, J. Y., Shapiro, M., Louphrasitthiphol, P., Bassett, A. R., Marques, A. C., Goding, C. R., & Vance, K. W. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008501 · Cited by 78
Long non-coding RNAs (lncRNAs) signaling in cancer chemoresistance: From prediction to druggability
Eptaminitaki, G. C., Stellas, D., Bonavida, B., & Baritaki, S. (2022) · Drug Resistance Updates · doi:10.1016/j.drup.2022.100866 · Cited by 78
A genome-wide atlas of human cell morphology
Ramezani, M., Weisbart, E., Bauman, J., Singh, A. K., Yong, J., Lozada, M., Way, G. P., Kavari, S. L., Diaz, C., Leardini, E., et al. (2025) · Nature Methods · doi:10.1038/s41592-024-02537-7 · Cited by 74
Efficient Gene Disruption in Cultured Primary Human Endothelial Cells by CRISPR/Cas9
Abrahimi, P., Chang, W., Kluger, M. S., Qyang, Y., Tellides, G., Saltzman, W. M., & Pober, J. S. (2015) · Circulation Research · doi:10.1161/circresaha.117.306290 · Cited by 81
Torres, S. E., Gallagher, C. M., Plate, L., Gupta, M., Liem, C. R., Guo, X., Tian, R., Stroud, R. M., Kampmann, M., Weissman, J. S., et al. (2019) · eLife · doi:10.7554/elife.46595 · Cited by 76
Self-citationApplications of CRISPR Genome Engineering in Cell Biology
Wang, F., & Qi, L. S. (2016) · Trends in Cell Biology · doi:10.1016/j.tcb.2016.08.004 · Cited by 79
Self-citationDevelopment and application of CRISPR/Cas9 technologies in genomic editing
Zhang, C., Quan, R., & Wang, J. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy120 · Cited by 80
Modulating gene regulation to treat genetic disorders
Matharu, N. K., & Ahituv, N. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0083-7 · Cited by 79
CRISPR/Cas9 Technology and Its Utility for Crop Improvement
Liu, H., Chen, W., Li, Y., Sun, L., Chai, Y., Chen, H., Nie, H., & Huang, C. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231810442 · Cited by 85
Application guide for omics approaches to cell signaling
Yao, Z., Petschnigg, J., Ketteler, R., & Štagljar, I. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1809 · Cited by 77
CRISPR–Cas9 a boon or bane: the bumpy road ahead to cancer therapeutics
Ghosh, D., Venkataramani, P., Nandi, S., & Bhattacharjee, S. (2019) · Cancer Cell International · doi:10.1186/s12935-019-0726-0 · Cited by 83
Development and Application of CRISPR/Cas in Microbial Biotechnology
Ding, W., Zhang, Y., & Shi, S. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00711 · Cited by 81
Black, J. B., McCutcheon, S. R., Dube, S., Barrera, A., Klann, T. S., Rice, G., Adkar, S. S., Soderling, S. H., Reddy, T. E., & Gersbach, C. A. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108460 · Cited by 71
Bernard, P.-L., Delconte, R. B., Pastor, S., Laletin, V., Silva, C. C. D., Goubard, A., Josselin, E., Castellano, R., Krug, A., Vernerey, J., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-004244 · Cited by 75
Golden Gate Assembly of CRISPR gRNA expression array for simultaneously targeting multiple genes
Vad‐Nielsen, J., Lin, L., Bolund, L., Nielsen, A. L., & Luo, Y. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2271-5 · Cited by 72
Cutting back malaria: CRISPR/Cas9 genome editing of Plasmodium
Lee, M., Lindner, S. E., Lopez-Rubio, J.-J., & Llinás, M. (2019) · Briefings in Functional Genomics · doi:10.1093/bfgp/elz012 · Cited by 78
Bhokisham, N., VanArsdale, E. S., Stephens, K., Hauk, P., Payne, G. F., & Bentley, W. E. (2020) · Nature Communications · doi:10.1038/s41467-020-16249-x · Cited by 74
CRISPR/Cas9 in lepidopteran insects: Progress, application and prospects
Li, J., Shi, Y., Wu, J., Li, H., Smagghe, G. J., & Liu, T. (2021) · Journal of Insect Physiology · doi:10.1016/j.jinsphys.2021.104325 · Cited by 76
Jing, Y., Jiang, X., Ji, Q., Wu, Z., Wang, W., Liu, Z., Guillén-García, P., Esteban, C. R., Reddy, P., Horvath, S., et al. (2023) · Cell stem cell · doi:10.1016/j.stem.2023.09.007 · Cited by 77
Drug-tunable multidimensional synthetic gene control using inducible degron-tagged dCas9 effectors
Kleinjan, D. A., Wardrope, C., Sou, S. N., & Rosser, S. J. (2017) · Nature Communications · doi:10.1038/s41467-017-01222-y · Cited by 74
Functional genomics to uncover drug mechanism of action
Nijman, S. M. B. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1963 · Cited by 75
Gene Editing by Extracellular Vesicles
Kostyushev, D. S., Kostyusheva, A., Brezgin, S., Vv, S., Volchkova, E. V., Lukashev, A. N., & Chulanov, V. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197362 · Cited by 75
Passarelli, M. C., Pinzaru, A. M., Asgharian, H., Liberti, M. V., Heissel, S., Molina, H., Goodarzi, H., & Tavazoie, S. F. (2022) · Nature Cell Biology · doi:10.1038/s41556-022-00856-5 · Cited by 72
Inducible expression of large gRNA arrays for multiplexed CRISPRai applications
Shaw, W. M., Studená, L., Roy, K., Hapeta, P., McCarty, N. S., Graham, A. E., Ellis, T., & Ledesma‐Amaro, R. (2022) · Nature Communications · doi:10.1038/s41467-022-32603-7 · Cited by 71
Circular extrachromosomal DNA promotes tumor heterogeneity in high-risk medulloblastoma
Chapman, O. S., Luebeck, J., Sridhar, S., Wong, I. T., Dixit, D., Wang, S., Prasad, G., Rajkumar, U., Pagadala, M., Larson, J. D., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01551-3 · Cited by 77
Synthetic lethal strategies for the development of cancer therapeutics
Ngoi, N. Y. L., Gallo, D., Torrado, C., Nardo, M., Durocher, D., & Yap, T. A. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-024-00966-z · Cited by 81
Large‐scale image‐based screening and profiling of cellular phenotypes
Bougen-Zhukov, N. M., Loh, S. Y. M., Lee, H. K., & Loo, L. (2016) · Cytometry Part A · doi:10.1002/cyto.a.22909 · Cited by 73
CRISPR/Cas9-The ultimate weapon to battle infectious diseases?
Doerflinger, M., Forsyth, W. O., Ebert, G., Pellegrini, M., & Herold, M. J. (2016) · Cellular Microbiology · doi:10.1111/cmi.12693 · Cited by 73
Cooperation of cancer drivers with regulatory germline variants shapes clinical outcomes
Musa, J., Cidre‐Aranaz, F., Aynaud, M.-M., Orth, M. F., Knott, M. M. L., Mirabeau, O., Mazor, G., Varon, M., Hölting, T. L. B., Grossetête, S., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12071-2 · Cited by 72
Long Non-coding RNA DANCR as an Emerging Therapeutic Target in Human Cancers
Jin, S.-J., Jin, M., Xia, B.-R., & Jin, W. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01225 · Cited by 70
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Haley, B., & Roudnicky, F. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.04.006 · Cited by 75
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Mineo, M., Lyons, S. M., Zdioruk, M. I., von Spreckelsen, N., Ferrer-Luna, R., Ito, H., Alayo, Q. A., Kharel, P., Giantini-Larsen, A., Fan, W. Y., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.05.015 · Cited by 70
Tian, X., & Zhou, B. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100509 · Cited by 74
Classification of CRISPR/Cas system and its application in tomato breeding
Chaudhuri, A., Halder, K., & Datta, A. (2022) · Theoretical and Applied Genetics · doi:10.1007/s00122-021-03984-y · Cited by 77
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Gupta, R. K., Ghosh, A., Chakravarti, R., Singh, R., Ravichandiran, V., Swarnakar, S., & Ghosh, D. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.866800 · Cited by 74
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Heidersbach, A. J., Dorighi, K. M., Gomez, J. A., Jacobi, A. M., & Haley, B. (2023) · Nature Communications · doi:10.1038/s41467-023-36452-w · Cited by 72
Zhao, H., Sun, Y., Peters, J. M., Gross, C. A., Garner, E. C., & Helmann, J. D. (2016) · Journal of Bacteriology · doi:10.1128/jb.00507-16 · Cited by 71
CRISPR/Cas-based screening of long non-coding RNAs (lncRNAs) in macrophages with an NF-κB reporter
Covarrubias, S., Robinson, E. K., Shapleigh, B., Vollmers, A. C., Katzman, S. J., Hanley, N., Fong, N., McManus, M. T., & Carpenter, S. B. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.m117.799155 · Cited by 71
Modulating the expression of long non‐coding RNAs for functional studies
Liu, S. J., & Lim, D. A. (2018) · EMBO Reports · doi:10.15252/embr.201846955 · Cited by 74
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Wensing, L. F., Sharma, J., Uthayakumar, D., Proteau, Y., Chavez, A., & Shapiro, R. S. (2019) · mSphere · doi:10.1128/msphere.00002-19 · Cited by 71
Hsu, M., Liao, H.-T., Truong, V. A., Huang, K.-L., Yu, F.-J., Chen, H., Nguyen, T. K. N., Макаревич, П. И., Parfyonova, Y. V., & Hu, Y.-C. (2019) · Theranostics · doi:10.7150/thno.36790 · Cited by 71
CRISPR-based metabolic pathway engineering
Zhao, D., Zhu, X., Zhou, H., Sun, N., Wang, T., Bi, C., & Zhang, X. (2020) · Metabolic Engineering · doi:10.1016/j.ymben.2020.10.004 · Cited by 70
Jablonka, S., Hennlein, L., & Sendtner, M. (2022) · Neurological Research and Practice · doi:10.1186/s42466-021-00162-9 · Cited by 79
Biswas, A. K., Han, S., Tai, Y., Ma, W., Coker, C., Quinn, S. A., Shakri, A. R., Zhong, T. J., Scholze, H., Lagos, G. G., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-0910 · Cited by 70
Pooled extracellular receptor-ligand interaction screening using CRISPR activation
Chong, Z., Ohnishi, S., Yusa, K., & Wright, G. J. (2018) · Genome biology · doi:10.1186/s13059-018-1581-3 · Cited by 71
Boulay, G., Volorio, A., Iyer, S., Broye, L. C., Stamenkovic, I., Riggi, N., & Rivera, M. N. (2018) · Genes & Development · doi:10.1101/gad.315192.118 · Cited by 75
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Timms, R. T., Menzies, S. A., Tchasovnikarova, I. A., Christensen, L. C., Williamson, J. C., Antrobus, R., Dougan, G., Ellgaard, L., & Lehner, P. J. (2016) · Nature Communications · doi:10.1038/ncomms11786 · Cited by 68
Bosco, N., Goldberg, A., Zhao, X., Mays, J. C., Cheng, P., Johnson, A. F., Bianchi, J. J., Toscani, C., Tommaso, E. D., Katsnelson, L., et al. (2023) · Cell · doi:10.1016/j.cell.2023.03.029 · Cited by 71
The HRI branch of the integrated stress response selectively triggers mitophagy
Chakrabarty, Y., Yang, Z., Chen, H., & Chan, D. C. (2024) · Molecular Cell · doi:10.1016/j.molcel.2024.01.016 · Cited by 74
Lucas, C. G., Mirchia, K., Seo, K., Najem, H., Chen, W., Zakimi, N., Foster, K. J., Eaton, C. D., Cady, M. A., Choudhury, A., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01747-1 · Cited by 72
Ekert, J. E., Deakyne, J., Pribul-Allen, P., Terry, R., Schofield, C., Jeong, C. G., Storey, J., Mohamet, L., Francis, J., Naidoo, A., et al. (2020) · SLAS DISCOVERY · doi:10.1177/2472555220923332 · Cited by 68
The impact of CRISPR–Cas9 on target identification and validation
Moore, J. D. (2015) · Drug Discovery Today · doi:10.1016/j.drudis.2014.12.016 · Cited by 73
CRISPR/Cas9 gene-editing strategies in cardiovascular cells
Vermersch, E., Jouve, C., & Hulot, J. (2019) · Cardiovascular Research · doi:10.1093/cvr/cvz250 · Cited by 74
Genome editing technology and application in soybean improvement
Bao, A., Zhang, C., Huang, Y., Chen, H., Zhou, X., & Cao, D. (2020) · Oil Crop Science · doi:10.1016/j.ocsci.2020.03.001 · Cited by 68
Richart, L., Picod-Chedotel, M.-L., Wassef, M. A., Macario, M., Aflaki, S., Salvador, M. A., Héry, T., Dauphin, A., Wicinski, J., Chevrier, V., et al. (2021) · Cell · doi:10.1016/j.cell.2022.04.034 · Cited by 69
APOBEC: From mutator to editor
Yang, B., Li, X., Lei, L., & Chen, J. (2017) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2017.04.009 · Cited by 70
High-Throughput Approaches to Pinpoint Function within the Noncoding Genome
Montalbano, A., Canver, M. C., & Sanjana, N. E. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.09.017 · Cited by 68
Molecular dissection of box jellyfish venom cytotoxicity highlights an effective venom antidote
Lau, M.-T., Manion, J., Littleboy, J. B., Oyston, L. J., Khuong, T. M., Wang, Q., Nguyen, D. T., Hesselson, D., Seymour, J., & Neely, G. G. (2019) · Nature Communications · doi:10.1038/s41467-019-09681-1 · Cited by 68
Jiang, W., Oikonomou, P., & Tavazoie, S. (2020) · Cell · doi:10.1016/j.cell.2020.02.007 · Cited by 67
Song, H., Li, D., Wang, X., Fang, E., Yang, F., Hu, A., Wang, J., Guo, Y., Liu, Y., Li, H., et al. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-020-00857-7 · Cited by 68
Self-citationRetractedFang, W., & Bartel, D. P. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.01.026 · Cited by 68
Genetic engineering in organoids
Teriyapirom, I., Batista-Rocha, A. S., & Koo, B.-K. (2021) · Journal of Molecular Medicine · doi:10.1007/s00109-020-02029-z · Cited by 68
eIF2B conformation and assembly state regulate the integrated stress response
Schoof, M., Boone, M., Wang, L., Lawrence, R. E., Frost, A. S., & Walter, P. (2021) · eLife · doi:10.7554/elife.65703 · Cited by 69
Editing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation
Rao, S., Yao, Y., & Bauer, D. E. (2021) · Genome Medicine · doi:10.1186/s13073-021-00857-3 · Cited by 72
CRISPR-Cas9-based genome-wide screening of Toxoplasma gondii
Sidik, S. M., Huet, D., & Lourido, S. (2018) · Nature Protocols · doi:10.1038/nprot.2017.131 · Cited by 68
Rousseaux, M. W. C., Vázquez-Vélez, G. E., Al-Ramahi, I., Jeong, H.-H., Bajić, A., Revelli, J.-P., Ye, H., Phan, E. T., Deger, J. M., Perez, A. M., et al. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0254-18.2018 · Cited by 61
Deaner, M., Mejia, J., & Alper, H. S. (2017) · ACS Synthetic Biology · doi:10.1021/acssynbio.7b00163 · Cited by 67
Biomaterial-assisted targeted and controlled delivery of CRISPR/Cas9 for precise gene editing
Iqbal, Z., Rehman, K., Xia, J., Shabbir, M., Zaman, M., Liang, Y., & Duan, L. (2023) · Biomaterials Science · doi:10.1039/d2bm01636b · Cited by 71
Comess, K. M., McLoughlin, S. M., Oyer, J. A., Richardson, P. L., Stöckmann, H., Vasudevan, A., & Warder, S. E. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b01921 · Cited by 66
Farhang, N., Ginley-Hidinger, M., Berrett, K. C., Gertz, J., Lawrence, B. D., & Bowles, R. D. (2019) · Human Gene Therapy · doi:10.1089/hum.2019.005 · Cited by 68
Hsu, M., Huang, K.-L., Yu, F.-J., Lai, P., Truong, V. A., Lin, M., Nguyen, N. T. K., Shen, C., Hwang, S., Chang, Y., et al. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.11.029 · Cited by 67
Pinzaru, A. M., Kareh, M., Lamm, N., Denchi, E. L., Cesare, A. J., & Sfeir, A. J. (2020) · Genes & Development · doi:10.1101/gad.337287.120 · Cited by 68
Evolving AAV-delivered therapeutics towards ultimate cures
He, X., Urip, B. A., Zhang, Z., Ngan, C. C., & Feng, B. (2021) · Journal of Molecular Medicine · doi:10.1007/s00109-020-02034-2 · Cited by 70
The use of new CRISPR tools in cardiovascular research and medicine
Nishiga, M., Liu, C., Qi, L. S., & Wu, J. C. (2022) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00669-3 · Cited by 71
Self-citationPreclinical Evaluation of CAR T Cell Function: In Vitro and In Vivo Models
Si, X., Xiao, L., Brown, C. E., & Wang, D. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063154 · Cited by 70
Hoberecht, L., Perampalam, P., Lun, A. T. L., & Fortin, J. (2022) · Nature Communications · doi:10.1038/s41467-022-34320-7 · Cited by 66
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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