The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
CRISPRi and CRISPRa Screens in Mammalian Cells for Precision Biology and Medicine
Open accessAbstract
Next-generation DNA sequencing technologies have led to a massive accumulation of genomic and transcriptomic data from patients and healthy individuals. The major challenge ahead is to understand the functional significance of the elements of the human genome and transcriptome, and implications for diagnosis and treatment. Genetic screens in mammalian cells are a powerful approach to systematically elucidating gene function in health and disease states. In particular, recently developed CRISPR/Cas9-based screening approaches have enormous potential to uncover mechanisms and therapeutic strategies for human diseases. The focus of this review is the use of CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) for genetic screens in mammalian cells. We introduce the underlying technology and present different types of CRISPRi/a screens, including those based on cell survival/proliferation, sensitivity to drugs or toxins, fluorescent reporters, and single-cell transcriptomes. Combinatorial screens, in which large numbers of gene pairs are targeted to construct genetic interaction maps, reveal pathway relationships and protein complexes. We compare and contrast CRISPRi and CRISPRa with alternative technologies, including RNA interference (RNAi) and CRISPR nuclease-based screens. Finally, we highlight challenges and opportunities ahead.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Unexpected mutations after CRISPR–Cas9 editing in vivo
Schaefer, K. A., Wu, W.-H., Colgan, D. F., Tsang, S. H., Bassuk, A. G., & Mahajan, V. B. (2017) · Nature Methods · doi:10.1038/nmeth.4293 · Cited by 286
RetractedA 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
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
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
CRISPR Provides Acquired Resistance Against Viruses in Prokaryotes
Barrangou, R., Fremaux, C., Deveau, H., Richards, M., Boyaval, P., Moineau, S., Romero, D. A., & Horvath, P. (2007) · Science · doi:10.1126/science.1138140 · Cited by 5,947
Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage
Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A., & Liu, D. R. (2016) · Nature · doi:10.1038/nature17946 · Cited by 5,437
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
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
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
Defining a Cancer Dependency Map
Tsherniak, A., Vazquez, F., Montgomery, P. G., Weir, B. A., Kryukov, G., Cowley, G. S., Gill, S., Harrington, W. F., Pantel, S., Krill-Burger, J. M., et al. (2017) · Cell · doi:10.1016/j.cell.2017.06.010 · Cited by 3,276
Genetic screens in human cells using the CRISPR-Cas9 system
Wang, T., Wei, J. J., Sabatini, D. M., & Lander, E. S. (2014) · Science · doi:10.1126/science.1246981 · Cited by 2,856
Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
Konermann, S., Brigham, M. D., Trevino, A. E., Joung, J., Abudayyeh, O. O., Barcena, C., Hsu, P. D., Habib, N., Gootenberg, J. S., Nishimasu, H., et al. (2015) · Nature · doi:10.1038/nature14136 · Cited by 2,825
Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation
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., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.029 · Cited by 2,728
Self-citationGUIDE-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
Systematic Genetic Analysis with Ordered Arrays of Yeast Deletion Mutants
Tong, A. H. Y., Evangelista, M., Parsons, A. B., Xu, H., Bader, G. D., Pagé, N., Robinson, M., Raghibizadeh, S., Hogue, C. W. V., Bussey, H., et al. (2001) · Science · doi:10.1126/science.1065810 · Cited by 2,138
RNA-programmed genome editing in human cells
Jinek, M., East, A., Cheng, A., Lin, S., Ma, E., & Doudna, J. (2013) · eLife · doi:10.7554/elife.00471 · Cited by 2,098
Global Mapping of the Yeast Genetic Interaction Network
Tong, A. H. Y., Lesage, G., Bader, G. D., Ding, H., Xu, H., Xin, X., Young, J., Berriz, G. F., Brost, R. L., Chang, M., et al. (2004) · Science · doi:10.1126/science.1091317 · Cited by 2,095
Hilton, I. B., D'Ippolito, A. M., Vockley, C. M., Thakore, P. I., Crawford, G. E., Reddy, T. E., & Gersbach, C. A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3199 · Cited by 1,885
Dixit, A., Parnas, O., Li, B., Chen, J., Fulco, C. P., Jerby-Arnon, L., Marjanovic, N. D., Dionne, D., Burks, T., Raychowdhury, R., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.038 · Cited by 1,863
Targeted 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
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
Highly efficient Cas9-mediated transcriptional programming
Chavez, A., Scheiman, J., Vora, S., Pruitt, B. W., Tuttle, M., P R Iyer, E., Lin, S., Kiani, S., Guzman, C. D., Wiegand, D. J., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3312 · Cited by 1,622
A Protein-Tagging System for Signal Amplification in Gene Expression and Fluorescence Imaging
Tanenbaum, M. E., Gilbert, L. A., Qi, L. S., Weissman, J. S., & Vale, R. D. (2014) · Cell · doi:10.1016/j.cell.2014.09.039 · Cited by 1,580
COT drives resistance to RAF inhibition through MAP kinase pathway reactivation
Johannessen, C. M., Boehm, J. S., Kim, S. Y., Thomas, S. R., Wardwell, L., Johnson, L. A., Emery, C. M., Stransky, N., Cogdill, A. P., Barretina, J., et al. (2010) · Nature · doi:10.1038/nature09627 · Cited by 1,460
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
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
Adamson, B., Norman, T. M., Jost, M., Cho, M. Y., Nuñez, J. K., Chen, Y., Villalta, J. E., Gilbert, L. A., Horlbeck, M. A., Hein, M. Y., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.048 · Cited by 1,193
Pooled CRISPR screening with single-cell transcriptome readout.
Datlinger, P., Rendeiro, A. F., Schmidl, C., Krausgruber, T., Traxler, P., Klughammer, J., Schuster, L. C., Kuchler, A., Alpar, D., & Bock, C. (2017) · Nature Methods · doi:10.1038/nmeth.4177 · Cited by 1,096
Koike-Yusa, H., Li, Y., Tan, E.-P., Velasco-Herrera, M. D. C., & Yusa, K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2800 · Cited by 1,064
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
Engineering complex synthetic transcriptional programs with CRISPR RNA scaffolds
Zalatan, J. G., Lee, M. E., Almeida, R., Gilbert, L. A., Whitehead, E. H., La Russa, M., Tsai, J. C., Weissman, J. S., Dueber, J. E., Qi, L. S., et al. (2015) · Cell · doi:10.1016/j.cell.2014.11.052 · Cited by 938
Horlbeck, M. A., Gilbert, L. A., Villalta, J. E., Adamson, B., Pak, R. A., Chen, Y., Fields, A. P., Park, C. Y., Corn, J. E., Kampmann, M., et al. (2016) · eLife · doi:10.7554/elife.19760 · Cited by 894
Self-citationBCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis
Canver, M. C., Smith, E. C., Sher, F., Pinello, L., Sanjana, N. E., Shalem, O., Chen, D. D., Schupp, P. G., Vinjamur, D. S., Garcia, S. P., et al. (2015) · Nature · doi:10.1038/nature15521 · Cited by 886
Schuldiner, M., Collins, S. R., Thompson, N. J., Denic, V., Bhamidipati, A., Punna, T., Ihmels, J., Andrews, B., Boone, C., Greenblatt, J. F., et al. (2005) · Cell · doi:10.1016/j.cell.2005.08.031 · Cited by 870
Orthogonal Cas9 proteins for RNA-guided gene regulation and editing
Esvelt, K. M., Mali, P., Braff, J. L., Moosburner, M., Yaung, S. J., & Church, G. M. (2013) · Nature Methods · doi:10.1038/nmeth.2681 · Cited by 786
Repurposing the CRISPR-Cas9 system for targeted DNA methylation
Vojta, A., Dobrinić, P., Tadić, V., Bočkor, L., Korać, P., Julg, B., Klasić, M., & Zoldoš, V. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw159 · Cited by 777
Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq
Jaitin, D. A., Weiner, A., Yofe, I., Lara-Astiaso, D., Keren-Shaul, H., David, E., Salame, T. M., Tanay, A., van Oudenaarden, A., & Amit, I. (2016) · Cell · doi:10.1016/j.cell.2016.11.039 · Cited by 777
Discovery of cancer drug targets by CRISPR-Cas9 screening of protein domains
Shi, J., Wang, E., Milazzo, J. P., Wang, Z., Kinney, J. B., & Vakoc, C. R. (2015) · Nature Biotechnology · doi:10.1038/nbt.3235 · Cited by 761
CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells
Liu, S. J., Horlbeck, M. A., Cho, S. W., Birk, H. S., Malatesta, M., He, D., Attenello, F. J., Villalta, J. E., Cho, M. Y., Chen, Y., et al. (2017) · Science · doi:10.1126/science.aah7111 · Cited by 746
Functional annotation of native enhancers with a Cas9–histone demethylase fusion
Kearns, N. A., Pham, H., Tabak, B., Genga, R. M., Silverstein, N. J., Garber, M., & Maehr, R. (2015) · Nature Methods · doi:10.1038/nmeth.3325 · Cited by 656
Systematic mapping of functional enhancer–promoter connections with CRISPR interference
Fulco, C. P., Munschauer, M., Anyoha, R., Munson, G., Grossman, S. R., Perez, E. M., Kane, M., Cleary, B., Lander, E. S., & Engreitz, J. M. (2016) · Science · doi:10.1126/science.aag2445 · Cited by 643
Krüppel-associated boxes are potent transcriptional repression domains.
Margolin, J. F., Friedman, J. R., Meyer, W. K., Vissing, H., Thiesen, H. J., & Rauscher, F. J. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.10.4509 · Cited by 618
Genomic Copy Number Dictates a Gene-Independent Cell Response to CRISPR/Cas9 Targeting
Aguirre, A. J., Meyers, R. M., Weir, B. A., Vazquez, F., Zhang, C.-Z., Ben-David, U., Cook, A., Ha, G., Harrington, W. F., Doshi, M. B., et al. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0154 · Cited by 577
A public genome-scale lentiviral expression library of human ORFs
Yang, X., Boehm, J. S., Yang, X., Salehi-Ashtiani, K., Hao, T., Shen, Y., Lubonja, R., Thomas, S. R., Alkan, O., Bhimdi, T., et al. (2011) · Nature Methods · doi:10.1038/nmeth.1638 · Cited by 570
CRISPR Interference Efficiently Induces Specific and Reversible Gene Silencing in Human iPSCs
Mandegar, M. A., Huebsch, N., Frolov, E. B., Shin, E., Truong, A., Olvera, M. P., Chan, A. H., Miyaoka, Y., Holmes, K., Spencer, C. I., et al. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.01.022 · Cited by 525
Comparison of Cas9 activators in multiple species
Chavez, A., Tuttle, M., Pruitt, B. W., Ewen-Campen, B., Chari, R., Ter-Ovanesyan, D., Haque, S. J., Cecchi, R. J., Kowal, E. J. K., Buchthal, J., et al. (2016) · Nature Methods · doi:10.1038/nmeth.3871 · Cited by 519
Han, K., Jeng, E. E., Hess, G. T., Morgens, D. W., Li, A., & Bassik, M. C. (2017) · Nature Biotechnology · doi:10.1038/nbt.3834 · Cited by 498
Haploid Genetic Screens in Human Cells Identify Host Factors Used by Pathogens
Carette, J. E., Guimaraes, C. P., Varadarajan, M., Park, A. S., Wuethrich, I., Godarova, A., Kotecki, M., Cochran, B. H., Spooner, E., Ploegh, H. L., et al. (2009) · Science · doi:10.1126/science.1178955 · Cited by 489
Directed evolution using dCas9-targeted somatic hypermutation in mammalian cells
Hess, G. T., Frésard, L., Han, K., Lee, C. H., Li, A., Cimprich, K. A., Montgomery, S. B., & Bassik, M. C. (2016) · Nature Methods · doi:10.1038/nmeth.4038 · Cited by 476
Systematic Determination of the Packaging Limit of Lentiviral Vectors
Kumar, M., Keller, B., Makalou, N., & Sutton, R. E. (2001) · Human Gene Therapy · doi:10.1089/104303401753153947 · Cited by 454
Adamson, B., Smogorzewska, A., Sigoillot, F. D., King, R. W., & Elledge, S. J. (2012) · Nature Cell Biology · doi:10.1038/ncb2426 · Cited by 433
Zhu, S., Li, W., Liu, J., Chen, C.-H., Liao, Q., Xu, P., Xu, H., Xiao, T., Cao, Z., Peng, J., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3715 · Cited by 425
Genome-scale activation screen identifies a lncRNA locus regulating a gene neighbourhood
Joung, J., Engreitz, J. M., Konermann, S., Abudayyeh, O. O., Verdine, V. K., Aguet, F., Gootenberg, J. S., Sanjana, N. E., Wright, J. B., Fulco, C. P., et al. (2017) · Nature · doi:10.1038/nature23451 · Cited by 422
Targeted AID-mediated mutagenesis (TAM) enables efficient genomic diversification in mammalian cells
Ma, Y., Zhang, J., Yin, W., Zhang, Z., Song, Y., & Chang, X. (2016) · Nature Methods · doi:10.1038/nmeth.4027 · Cited by 418
CRISPR knockout screening outperforms shRNA and CRISPRi in identifying essential genes
Evers, B., Jastrzebski, K., Heijmans, J. P. M., Grernrum, W., Beijersbergen, R. L., & Bernards, R. (2016) · Nature Biotechnology · doi:10.1038/nbt.3536 · Cited by 417
Measuring error rates in genomic perturbation screens: gold standards for human functional genomics
Hart, T., Brown, K. R., Sircoulomb, F., Rottapel, R., & Moffat, J. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145216 · Cited by 398
Anderson, D. J., Le Moigne, R., Djakovic, S., Kumar, B., Rice, J., Wong, S., Wang, J., Yao, B., Valle, E., Kiss von Soly, S., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.10.002 · Cited by 389
Self-citationA Systematic Mammalian Genetic Interaction Map Reveals Pathways Underlying Ricin Susceptibility
Bassik, M. C., Kampmann, M., Lebbink, R. J., Wang, S., Hein, M. Y., Poser, I., Weibezahn, J., Horlbeck, M. A., Chen, S., Mann, M., et al. (2013) · Cell · doi:10.1016/j.cell.2013.01.030 · Cited by 365
Self-citationGroner, A. C., Meylan, S., Ciuffi, A., Zangger, N., Ambrosini, G., Dénervaud, N., Bucher, P., & Trono, D. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000869 · Cited by 364
Combinatorial CRISPR–Cas9 screens for de novo mapping of genetic interactions
Shen, J. P., Zhao, D., Sasik, R., Luebeck, J., Birmingham, A., Bojorquez-Gomez, A., Licon, K., Klepper, K., Pekin, D., Beckett, A. N., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4225 · Cited by 359
Munoz, D. M., Cassiani, P. J., Li, L., Billy, E., Korn, J. M., Jones, M. D., Golji, J., Ruddy, D. A., Yu, K., McAllister, G., et al. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0178 · Cited by 359
CRISPR-dCas9 mediated TET1 targeting for selective DNA demethylation at BRCA1 promoter
Choudhury, S. R., Cui, Y., Lubecka, K., Stefanska, B., & Irudayaraj, J. (2016) · Oncotarget · doi:10.18632/oncotarget.10234 · Cited by 353
Identification of focally amplified lineage-specific super-enhancers in human epithelial cancers
Zhang, X., Choi, P. S., Francis, J. M., Imielinski, M., Watanabe, H., Cherniack, A. D., & Meyerson, M. (2016) · Nature Genetics · doi:10.1038/ng.3470 · Cited by 348
A Robust Toolkit for Functional Profiling of the Yeast Genome
Pan, X., Yuan, D. S., Xiang, D., Wang, X., Sookhai-Mahadeo, S., Bader, J. S., Hieter, P., Spencer, F., & Boeke, J. D. (2004) · Molecular Cell · doi:10.1016/j.molcel.2004.09.035 · Cited by 320
RNA interference in human cells is restricted to the cytoplasm
ZENG, Y., & CULLEN, B. R. (2002) · RNA · doi:10.1017/s1355838202020071 · Cited by 290
Orthogonal gene knockout and activation with a catalytically active Cas9 nuclease
Dahlman, J. E., Abudayyeh, O. O., Joung, J., Gootenberg, J. S., Zhang, F., & Konermann, S. (2015) · Nature Biotechnology · doi:10.1038/nbt.3390 · Cited by 272
Sidrauski, C., Tsai, J. C., Kampmann, M., Hearn, B. R., Vedantham, P., Jaishankar, P., Sokabe, M., Mendez, A. S., Newton, B. W., Tang, E. L., et al. (2015) · eLife · doi:10.7554/elife.07314 · Cited by 256
Self-citationJost, 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. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.09.012 · Cited by 247
Self-citationLocus-specific histone deacetylation using a synthetic CRISPR-Cas9-based HDAC
Kwon, D. Y., Zhao, Y.-T., Lamonica, J. M., & Zhou, Z. (2017) · Nature Communications · doi:10.1038/ncomms15315 · Cited by 246
Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM
Wong, A. S. L., Choi, G. C. G., Cui, C. H., Pregernig, G., Milani, P., Adam, M., Perli, S. D., Kazer, S. W., Gaillard, A., Hermann, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517883113 · Cited by 242
Prospective functional classification of all possible missense variants in PPARG
UK Monogenic Diabetes Consortium, Majithia, A. R., Myocardial Infarction Genetics Consortium, UK Congenital Lipodystrophy Consortium, Tsuda, B., Agostini, M., Gnanapradeepan, K., Rice, R., Peloso, G., Patel, K. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3700 · Cited by 227
The mTOR Complex Controls HIV Latency
Besnard, E., Hakre, S., Kampmann, M., Lim, H. W., Hosmane, N. N., Martin, A., Bassik, M. C., Verschueren, E., Battivelli, E., Chan, J., et al. (2016) · Cell Host & Microbe · doi:10.1016/j.chom.2016.11.001 · Cited by 199
Self-citationHigh-throughput phenotyping of lung cancer somatic mutations
Berger, A. H., Brooks, A. N., Wu, X., Shrestha, Y., Chouinard, C., Piccioni, F., Bagul, M., Kamburov, A., Imielinski, M., Hogstrom, L., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.06.022 · Cited by 192
Parallel shRNA and CRISPR-Cas9 screens enable antiviral drug target identification
Deans, R. M., Morgens, D. W., Ökesli, A., Pillay, S., Horlbeck, M. A., Kampmann, M., Gilbert, L. A., Li, A., Mateo, R., Smith, M., et al. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2050 · Cited by 182
Self-citationUse and Abuse of RNAi to Study Mammalian Gene Function
Kaelin, W. G. (2012) · Science · doi:10.1126/science.1225787 · Cited by 169
Genetic interaction mapping in mammalian cells using CRISPR interference
Du, D., Roguev, A., Gordon, D. E., Chen, M., Chen, S.-H., Shales, M., Shen, J. P., Ideker, T., Mali, P., Qi, L. S., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4286 · Cited by 163
Phenotypic Characterization of a Comprehensive Set of MAPK1/ERK2 Missense Mutants
Brenan, L., Andreev, A., Cohen, O., Pantel, S., Kamburov, A., Cacchiarelli, D., Persky, N. S., Zhu, C., Bagul, M., Goetz, E. M., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.09.061 · Cited by 160
Polstein, L. R., Pérez‐Piñera, P., Koçak, D. D., Vockley, C. M., Bledsoe, P. J., Song, L., Safi, A., Crawford, G. E., Reddy, T. E., & Gersbach, C. A. (2015) · Genome Research · doi:10.1101/gr.179044.114 · Cited by 134
Kampmann, M., Bassik, M. C., & Weissman, J. S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307002110 · Cited by 123
Self-citationComplementary information derived from CRISPR Cas9 mediated gene deletion and suppression
Rosenbluh, J., Xu, H., Harrington, W., Gill, S., Wang, X., Vázquez, F., Root, D. E., Tsherniak, A., & Hahn, W. C. (2017) · Nature Communications · doi:10.1038/ncomms15403 · Cited by 111
Grimm, D. (2011) · Silence · doi:10.1186/1758-907x-2-8 · Cited by 100
Next-generation libraries for robust RNA interference-based genome-wide screens
Kampmann, M., Horlbeck, M. A., Chen, Y., Tsai, J. C., Bassik, M. C., Gilbert, L. A., Villalta, J. E., Kwon, S. C., Chang, H., Kim, V. N., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508821112 · Cited by 96
Self-citationAcosta‐Alvear, D., Cho, M. Y., Wild, T., Buchholz, T. J., Lerner, A. G., Šimáková, O., Hahn, J., Korde, N., Landgren, O., Marić, I., et al. (2015) · eLife · doi:10.7554/elife.08153 · Cited by 94
Self-citationRosenbluh, J., Mercer, J., Shrestha, Y., Oliver, R., Tamayo, P., Doench, J. G., Tirosh, I., Piccioni, F., Hartenian, E., Horn, H., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.09.001 · Cited by 71
Kruth, K., Fang, M., Shelton, D. N., Abu‐Halawa, O., Mahling, R. W., Yang, H., Weissman, J. S., Loh, M. L., Müschen, M., Tasian, S. K., et al. (2017) · Blood · doi:10.1182/blood-2017-02-766204 · Cited by 58
Self-citationCRISPulator: a discrete simulation tool for pooled genetic screens
Nagy, T. L., & Kampmann, M. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1759-9 · Cited by 32
Self-citationElucidating drug targets and mechanisms of action by genetic screens in mammalian cells
Kampmann, M. (2017) · Chemical Communications · doi:10.1039/c7cc02349a · Cited by 29
Self-citationA CRISPR Approach to Neurodegenerative Diseases
Kampmann, M. (2017) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2017.04.003 · Cited by 27
Self-citation
Cited by
CRISPR-Cas guides the future of genetic engineering
Knott, G. J., & Doudna, J. A. (2018) · Science · doi:10.1126/science.aat5011 · Cited by 1,410
CRISPR technology: A decade of genome editing is only the beginning
Wang, J. Y., & Doudna, J. A. (2023) · Science · doi:10.1126/science.add8643 · Cited by 1,049
CRISPR Interference-Based Platform for Multimodal Genetic Screens in Human iPSC-Derived Neurons
Tian, R., Gachechiladze, M. A., Ludwig, C. H., Laurie, M. T., Hong, J. Y., Nathaniel, D., Prabhu, A. V., Fernandopulle, M. S., Patel, R., Abshari, M., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.07.014 · Cited by 543
Self-citationSynthetic lethality as an engine for cancer drug target discovery
Huang, A., Garraway, L. A., Ashworth, A., & Weber, B. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0046-z · Cited by 469
Synthetic lethal therapies for cancer: what’s next after PARP inhibitors?
Ashworth, A., & Lord, C. J. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0055-6 · Cited by 420
Metadata
- Authors
- Kampmann, M.
- Venue
- ACS Chemical Biology
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-10-24
- Volume
- 13
- Issue
- 2
- Pages
- 406-416
- ISSN
- 1554-8929 (ISSN-L)
- 1554-8937
- OpenAlex
- W2765809583
- Cited by
- 373
- References
- 88
- FWCI
- 7.57
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
