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High-throughput functional genomics using CRISPR-Cas9
Open accessAbstract
Forward genetic screens are powerful tools for the discovery and functional annotation of genetic elements. Recently, the RNA-guided CRISPR (clustered regularly interspaced short palindromic repeat)-associated Cas9 nuclease has been combined with genome-scale guide RNA libraries for unbiased, phenotypic screening. In this Review, we describe recent advances using Cas9 for genome-scale screens, including knockout approaches that inactivate genomic loci and strategies that modulate transcriptional activity. We discuss practical aspects of screen design, provide comparisons with RNA interference (RNAi) screening, and outline future applications and challenges.
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In the citing paper
“the deficiencies of RNAi-based methods in the areas of reagent fidelity and scalability make it difficult to use this approach to accurately map drug target interactions across a large matrix of cell lines and drug treatments”
From A Landscape of Therapeutic Cooperativity in KRAS Mutant Cancers Reveals Principles for Controlling Tumor Evolution (2017) · cites this paper as Shalem et al., 2015
Experimental — accuracy not yet measuredIn the citing paper
“This has limited pooled screens largely to vetting genes for their potential impact on cell fitness”
From Protein Barcodes Enable High-Dimensional Single-Cell CRISPR Screens (2018) · cites this paper as Shalem et al., 2015
In the citing paper
“So far three distinct bacterial CRISPR systems have been identified; Type I, II and III, and it is the Type II system that has mainly been adapted for use in artificial gene regulation and genome editing (Kim and Kim 2014; Shalem, Sanjana and Zhang 2015).”
From Candida glabrata : new tools and technologies—expanding the toolkit (2015) · cites this paper as Shalem, Sanjana and Zhang 2015
In the citing paper
“The most commonly used CRISPR Type II system consists of a gRNA and an endonuclease, the CRISPR-associated (Cas) nuclease, Cas9, which cleaves the targeted chromosomal DNA in a site-specific manner triggering endogenous DNA repair systems resulting in genome modification (for an in-depth review, see Doudna and Charpentier 2014; Kim and Kim 2014; Shalem, Sanjana and Zhang 2015).”
From Candida glabrata : new tools and technologies—expanding the toolkit (2015) · cites this paper as Shalem, Sanjana and Zhang 2015
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Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
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
Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans
Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429
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
Self-citationRNA-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
MicroRNAs: small RNAs with a big role in gene regulation
He, L., & Hannon, G. J. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1379 · Cited by 7,118
Development and Applications of CRISPR-Cas9 for Genome Engineering
Hsu, P. D., Lander, E. S., & Zhang, F. (2014) · Cell · doi:10.1016/j.cell.2014.05.010 · Cited by 5,762
Self-citationImproved vectors and genome-wide libraries for CRISPR screening
Sanjana, N. E., Shalem, O., & Zhang, F. (2014) · Nature Methods · doi:10.1038/nmeth.3047 · Cited by 5,239
Self-citationGenome-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
Self-citationRepurposing 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 901–1,000 of 1,000
Lin, R., Zhang, X., Zhu, Q., Chen, X., Dai, L., Li, L., Li, Z., & Lin, Z. (2025) · Health and Metabolism · doi:10.53941/hm.2025.100010 · Cited by 4
CRISPR/Cas9-Based Gene Dropout Screens
Wu, K., & Malek, S. N. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-8876-1_15 · Cited by 4
MasterPATH: network analysis of functional genomics screening data
Rubanova, N., Pinna, G., Kropp, J., Campalans, A., Radicella, J. P., Polesskaya, A., Harel‐Bellan, A., & Morozova, N. (2020) · BMC Genomics · doi:10.1186/s12864-020-07047-2 · Cited by 4
A quantitative approach relating emergent features of complex traits to protein expression
Wegner, L. H., & Hao, Z. (2020) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2020.10.002 · Cited by 4
Nejat, N., Han, Y. N., Zhang, X., He, T., Wang, P., & Li, C. (2022) · Current Chinese Science · doi:10.2174/2210298102666220324112842 · Cited by 5
Saratov, V., Ngo, Q. A., Pedot, G., Sidorov, S., Wachtel, M., Niggli, F. K., & Schäfer, B. W. (2022) · Scientific Reports · doi:10.1038/s41598-022-12659-7 · Cited by 4
Application and prospects of high-throughput screening for in vitro neurogenesis
Zhang, S., Zhao, J., Ni, J.-J., Li, H., Quan, Z., & Qing, H. (2022) · World Journal of Stem Cells · doi:10.4252/wjsc.v14.i6.393 · Cited by 4
Genome-wide CRISPR Screen Reveal Targets of Chiral Gold(I) Anticancer Compound in Mammalian Cells
Kim, J. H., Ofori, S., Tagmount, A., Vulpe, C. D., & Awuah, S. G. (2022) · ACS Omega · doi:10.1021/acsomega.2c05166 · Cited by 4
Chemical synthesis as a discovery platform in immunosuppression and determination of mode of action
Schupp, M., Saridakis, I., Kaiser, D., & Maulide, N. (2024) · Nature Synthesis · doi:10.1038/s44160-023-00423-2 · Cited by 4
Review: Biotechnology Applications of Microalgae in the Context of EU “Blue Growth” Initiatives
Fernández‐Acero, F. J. (2018) · Journal of Microbiology and Genetics · doi:10.29011/2574-7371.000018 · Cited by 4
Too Much Compromise in Today's CRISPR Pipelines
Fox, R. J. (2019) · The CRISPR Journal · doi:10.1089/crispr.2019.0015 · Cited by 4
Vemuri, S., Srivastava, R., Mir, Q., Hashemikhabir, S., Dong, X. C., & Janga, S. C. (2019) · Methods · doi:10.1016/j.ymeth.2019.09.004 · Cited by 4
Fungi endophytes for biofactory of secondary metabolites: Genomics and metabolism
Sarsaiya, S., Jain, A., Shi, J., & Chen, J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822919-4.00001-6 · Cited by 4
The ultimate and proximate underpinnings of social behavior
Kronauer, D. J. C., & Levine, J. D. (2017) · Journal of Experimental Biology · doi:10.1242/jeb.152785 · Cited by 4
Cancer Gene Discovery in Hepatocellular Carcinoma: The CRISPR/CAS9 Accelerator
Nault, J. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.02.031 · Cited by 4
Studying the Genetics of Behavior in the Genomics Era
Kent, C. F., Tiwari, T., Rose, S. A., Patel, H., Conflitti, I. M., & Zayed, A. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809633-8.90054-2 · Cited by 4
Liu, Q., He, D., & Xie, L. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/505602 · Cited by 4
MALTA: A calculator for estimating the coverage with shRNA, CRISPR, and cDNA libraries
Krishnamani, V., Stamnes, M. A., & Piper, R. C. (2019) · SoftwareX · doi:10.1016/j.softx.2019.01.006 · Cited by 4
Novel mosaic mice with diverse applicationsPreprint
Chen, Y., Mao, S., Liu, B., Jing, Z., Zang, Y., Xia, J., Sun, J., & Chi, T. H. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.21.001388 · Cited by 4
Tsuchiya, M., Tachibana, N., Nagao, K., Tamura, T., & Hamachi, I. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.18.488621 · Cited by 4
Understanding the prospective of gene therapy for the treatment of breast cancer
Ritika, R., Rani, S., Malviya, R., Rajput, S., Sridhar, S. B., & Kaushik, D. (2025) · Revista de Senología y Patología Mamaria · doi:10.1016/j.senol.2025.100683 · Cited by 4
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Li, C.-P., Wang, Y., Zhou, C.-W., Ding, C., Teng, P., Nie, R., & Yang, S. (2025) · Cell Regeneration · doi:10.1186/s13619-025-00260-y · Cited by 3
Genome editing of Spp1 by inhalable CRISPR/Cas9 formulation for treating pulmonary fibrosis
Bao, W., Ji, P., Xi, W., Ganzorig, C., Liu, Z., & Ping, Y. (2025) · Journal of Controlled Release · doi:10.1016/j.jconrel.2025.114424 · Cited by 4
Single‐Cell CRISPR: An Efficient Strategy for Decoding Plant Cis ‐Regulatory Complexity
Zhang, Y., Luo, X., Li, H., Jin, S., Zhang, X., & Wang, Y. (2026) · Plant Biotechnology Journal · doi:10.1111/pbi.70647 · Cited by 3
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Liu, T., Li, J., Wang, X., Huang, T., Wu, W., Li, A., Li, C., Huang, X., Wang, Q. L., Li, D., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0285673 · Cited by 3
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Wu, P., Yao, M., & Wang, W. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae535 · Cited by 3
Alzaabi, M., Khalili, M., Sultana, M., & Al‐Sayegh, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25179154 · Cited by 3
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Muthuirulan, P., Nityanand, A., Pandit, A., & Gururajan, V. (2025) · Sensory Neuroscience · doi:10.1002/sen2.70014 · Cited by 3
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Jing, Q., Liu, W., Jiang, H., Liao, Y., Yang, Q., & Xing, Y. (2023) · Genes · doi:10.3390/genes14040908 · Cited by 3
Going for Hybrid Crops Breeding in Nepal: Strategies and Policy Dimensions
Tiwari, K. R., Panthee, D. R., Joshi, B. K., & Subedi, K. (2023) · Nepal Public Policy Review · doi:10.59552/nppr.v3i1.66 · Cited by 3
Yu, X., Guo, J., Sun, J., & Zhang, C. (2025) · Synthetic biology and engineering · doi:10.70322/sbe.2025.10003 · Cited by 3
Cellular Thermal Shift Analysis for Interrogation of CRISPR-Assisted Proteomic Changes
Her, N.-G., Babić, I., Yenugonda, V. M., Kesari, S., & Nurmemmedov, E. (2020) · BioTechniques · doi:10.2144/btn-2019-0100 · Cited by 3
Synthetic Biology-Empowered Hydrogels for Medical Diagnostics
Wagner, H. J., Mohsenin, H., & Weber, W. (2020) · Advances in biochemical engineering, biotechnology · doi:10.1007/10_2020_158 · Cited by 3
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Fasullo, M., & Dolan, M. (2022) · Experimental Biology and Medicine · doi:10.1177/15353702221121600 · Cited by 3
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Saleem, A. A., & Al-Kelaby, K. K. A. (2022) · Cellular Therapy and Transplantation · doi:10.18620/ctt-1866-8836-2022-11-3-4-10-24 · Cited by 3
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Shen, W., Hu, F., Pan, L., & Tang, Y. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1295555 · Cited by 3
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Valdivia-Francia, F., & Sendoel, A. (2024) · iScience · doi:10.1016/j.isci.2024.110478 · Cited by 3
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Qin, X., Yao, W., Shi, X., Liu, L., Huang, F. P., Ding, Y., Zhou, Y. F., Yu, L., Jia, C., Li, S., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-40381-4 · Cited by 3
[Development and applications of CRISPR/Cas9 library screening technology in cancer research].
Lei, T., Xiao, B., He, Y., Qu, J. T., Sun, Z., & Li, L. (2019) · Europe PMC (PubMed Central) · doi:10.12122/j.issn.1673-4254.2019.11.18 · Cited by 3
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Luginbühl, J., Kouno, T., Nakano, R., Chater, T. E., Sivaraman, D. M., Kishima, M., Roudnicky, F., Carninci, P., Plessy, C., & Shin, J. W. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/600239 · Cited by 3
Ortabozkoyun, H., Huang, P., Cho, H., Narendra, V. K., LeRoy, G., Skok, J. A., Tsirigos, A., Mazzoni, E. O., & Reinberg, D. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.25.267237 · Cited by 3
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Chen, J., Harmancı, A. S., & Harmanci, A. O. (2019) · Elsevier eBooks · doi:10.1016/b978-0-323-95502-7.00299-2 · Cited by 3
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Chen, J., Harmancı, A. S., & Harmanci, A. O. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809633-8.20121-0 · Cited by 3
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Creutzburg, S. C. A. (2020) · doi:10.18174/532325 · Cited by 3
Funk, A. T., Martin, J., Clark, M., Païta, A., Jolly, C. J., & Shine, R. (2025) · Proceedings. Biological sciences · doi:10.1098/rspb.2025.1458 · Cited by 3
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Oh, J. H., Yang, L. F., Tanaka, E., Monteiro, L. D. B., Wi, D., Archambault, A., & Geltink, R. I. K. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1820963 · Cited by 2
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Li, R., Chen, X., Huang, Q., Ling, H.-J., Gong, K., & Chen, Z. (2026) · Cancer Letters · doi:10.1016/j.canlet.2026.218753 · Cited by 3
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Metadata
- Authors
- Shalem, O., Sanjana, N. E., & Zhang, F.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Shalem, Ophir
- Zhang, Feng
- Venue
- Nature Reviews Genetics
- Published
- 2015-04-09
- Volume
- 16
- Issue
- 5
- Pages
- 299-311
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC4503232
- OpenAlex
- W2026592619
- Cited by
- 1,233
- References
- 130
- Citations by year
- 2026: 71 · 2025: 91 · 2024: 103 · 2023: 85 · 2022: 101 · 2021: 105 · 2020: 121 · 2019: 117 · 2018: 131 · 2017: 145 · 2016: 123 · 2015: 37
- FWCI
- 14.12
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- PMC
- Funders
- Klarman Family Foundation
- Simons Center for the Social Brain, Massachusetts Institute of Technology
- National Institute of Mental Health (DP1MH100706)
- National Human Genome Research Institute (K99HG008171)
- National Institute of Neurological Disorders and Stroke (R01NS073124)
- National Center for Chronic Disease Prevention and Health Promotion (DP1‑MH100706)
- 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/Cas9, genome-wide screen, guide RNA library, forward genetic screen, gene knockout, transcriptional regulation, phenotypic screening, screen design, functional genomics
- MeSH terms
- Animals, Genetic Testing, Humans, Models, Genetic, Gene Library, Genomics, RNA Interference, Mice, Gene Knockout Techniques, High-Throughput Nucleotide Sequencing, CRISPR-Cas Systems
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