The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Identification and characterization of essential genes in the human genome
Open accessAbstract
Zeroing in on essential human genes: More powerful genetic techniques are helping to define the list of genes required for the life of a human cell. Two papers used the CRISPR genome editing system and a gene trap method in haploid human cells to screen for essential genes (see the Perspective by Boone and Andrews). Wang et al. 's analysis of multiple cell lines indicates that it may be possible to find tumor-specific dependencies on particular genes. Blomen et al. investigate the phenomenon in which nonessential genes are required for fitness in the absence of another gene. Hence, complexity rather than robustness is the human strategy. Science , this issue p. 1096 and p. 1092 ; see also p. 1028
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Pooled CRISPR screening is a powerful and widely used method for identifying genes involved in biological mechanisms such as cell proliferation 1, 2 , drug resistance 3 , and viral infection 4 .”
From Pooled CRISPR screening with single-cell transcriptome readout. (2017) · cites this paper as [2]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Joung, J.'s team employed the SHERLOCK technique to detect SARS-CoV-2 viral RNA using the CRISPR-Cas13a system.”
From A Review of Research on CRISPR/Cas9 Gene Editing Technology in Disease Treatment (2024) · cites this paper as [17]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“This assay is highly sensitive and specific, capable of detecting low concentrations of SARS-CoV-2 RNA in a short period of time [17].”
From A Review of Research on CRISPR/Cas9 Gene Editing Technology in Disease Treatment (2024) · cites this paper as [17]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Many of the identified mediator complex components were concordantly associated with resistance to other targeted cancer therapies,44,45 but were also controversially identified as essential genes in CML cells.46”
From Integrated drug profiling and CRISPR screening identify BCR::ABL1-independent vulnerabilities in chronic myeloid leukemia (2024) · cites this paper as [46]
Experimental — accuracy not yet measuredIn the citing paper
“we computed gene-level enrichment scores (Supplementary Fig. 4e, Supplementary Table 3), which were highly correlated with a previous genome-wide CRISPR screen in K562 cells10 (r = 0.85)”
From Profiling the genetic determinants of chromatin accessibility with scalable single-cell CRISPR screens (2021) · cites this paper as [10]
In the citing paper
“genome-scale application of CRISPR-Cas9 genome editing approaches offer the potential to map global genetic interaction networks in human cells (55–57)”
From A global genetic interaction network maps a wiring diagram of cellular function (2016) · cites this paper as [56]
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
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Self-citationSystematic 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
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
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
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Lethality and centrality in protein networks
Jeong, H., Mason, S., Barabási, A., & Oltvai, Z. (2001) · Nature · doi:10.1038/35075138 · Cited by 5,327
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
Functional profiling of the Saccharomyces cerevisiae genome
Giaever, G., Chu, A. M., Ni, L., Connelly, C., Riles, L., Véronneau, S., Dow, S., Lucau-Danila, A., Anderson, K., André, B., et al. (2002) · Nature · doi:10.1038/nature00935 · Cited by 4,316
BioGRID: a general repository for interaction datasets
Stark, C. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj109 · Cited by 3,960
Wang, H., Yang, H., Shivalila, C. S., Dawlaty, M. M., Cheng, A. W., Zhang, F., & Jaenisch, R. (2013) · Cell · doi:10.1016/j.cell.2013.04.025 · Cited by 3,495
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
Self-citationFrequent mutation of histone-modifying genes in non-Hodgkin lymphoma
Morin, R. D., Mendez-Lago, M., Mungall, A. J., Goya, R., Mungall, K. L., Corbett, R. D., Johnson, N. A., Severson, T. M., Chiu, R., Field, M., et al. (2011) · Nature · doi:10.1038/nature10351 · Cited by 1,614
Evolution and functional impact of rare coding variation from deep sequencing of human exomes
Tennessen, J. A., Bigham, A. W., O’Connor, T. D., Fu, W., Kenny, E. E., Gravel, S., McGee, S., Do, R., Liu, X., Jun, G., et al. (2012) · Science · doi:10.1126/science.1219240 · Cited by 1,613
Ebola virus entry requires the cholesterol transporter Niemann–Pick C1
Carette, J. E., Raaben, M., Wong, A., Herbert, A. S., Obernosterer, G., Mulherkar, N., Kuehne, A. I., Kranzusch, P. J., Griffin, A. M., Ruthel, G. T., et al. (2011) · Nature · doi:10.1038/nature10348 · Cited by 1,327
Wilson, A. C., Carlson, S. S., & White, T. J. (1977) · Annual Review of Biochemistry · doi:10.1146/annurev.bi.46.070177.003041 · Cited by 1,286
Flicek, P., Amode, M. R., Barrell, D. G., Beal, K. M., Billis, K., Brent, S., Carvalho‐Silva, D., Clapham, P., Coates, G. M. P., Fitzgerald, S. F., et al. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1196 · Cited by 1,242
Schwartz, S., Mumbach, M. R., Jovanović, M., Wang, T., Maciag, K., Bushkin, G. G., Mertins, P., Ter‐Ovanesyan, D., Habib, N., Cacchiarelli, D., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.05.048 · Cited by 1,231
Self-citationThe mRNA-Bound Proteome and Its Global Occupancy Profile on Protein-Coding Transcripts
Baltz, A. G., Munschauer, M., Schwanhäußer, B., Vasile, A. I., Murakawa, Y., Schueler, M., Youngs, N., Penfold-Brown, D., Drew, K., Milek, M., et al. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.05.021 · Cited by 1,215
Cunningham, F., Amode, M. R., Barrell, D., Beal, K., Billis, K., Brent, S., Carvalho-Silva, D., Clapham, P., Coates, G., Fitzgerald, S., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1010 · Cited by 1,115
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
The Xist lncRNA Exploits Three-Dimensional Genome Architecture to Spread Across the X Chromosome
Engreitz, J., Pandya‐Jones, A., McDonel, P. E., Shishkin, A., Sirokman, K., Surka, C., Kadri, S., Xing, J. C., Goren, A., Lander, E. S., et al. (2013) · Science · doi:10.1126/science.1237973 · Cited by 1,008
Self-citationRole of duplicate genes in genetic robustness against null mutations
Gu, Z., Steinmetz, L. M., Gu, X., Scharfe, C., Davis, R. W., & Li, W.-H. (2003) · Nature · doi:10.1038/nature01198 · Cited by 889
Geer, L. Y., Marchler-Bauer, A., Geer, R. C., Han, L., He, J., He, S., Liu, C., Shi, W., & Bryant, S. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp858 · Cited by 875
Chapuy, B., McKeown, M. R., Lin, C. Y., Monti, S., Roemer, M. G. M., Qi, J., Rahl, P. B., Sun, H. H., Yeda, K. T., Doench, J. G., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.11.003 · Cited by 735
TreeFam: a curated database of phylogenetic trees of animal gene families
Li, H. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj118 · Cited by 523
Haploid Genetic Screens in Human Cells Identify Host Factors Used by Pathogens
Carette, J. E., Guimarães, C. P., Varadarajan, M., Park, A. S., Wüthrich, I., Godarova, A., Kotecki, M., Cochran, B., Spooner, E., Ploegh, H. L., et al. (2009) · Science · doi:10.1126/science.1178955 · Cited by 499
Protein abundance profiling of the Escherichia coli cytosol
Ishihama, Y., Schmidt, T., Rappsilber, J., Mann, M., Hartl, F. U., Kerner, M. J., & Frishman, D. (2008) · BMC Genomics · doi:10.1186/1471-2164-9-102 · Cited by 479
K562—A human erythroleukemic cell line
Andersson, L. C., Nilsson, K., & Gahmberg, C. G. (1979) · International Journal of Cancer · doi:10.1002/ijc.2910230202 · Cited by 470
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
Cowley, G. S., Weir, B. A., Vázquez, F., Tamayo, P., Scott, J. A., Rusin, S. F., East-Seletsky, A., Ali, L. D., Gerath, W. F., Pantel, S. E., et al. (2014) · Scientific Data · doi:10.1038/sdata.2014.35 · Cited by 380
Epigenetic silencing by the HUSH complex mediates position-effect variegation in human cells
Tchasovnikarova, I. A., Timms, R. T., Matheson, N. J., Wals, K., Antrobus, R., Göttgens, B., Dougan, G., Dawson, M. A., & Lehner, P. J. (2015) · Science · doi:10.1126/science.aaa7227 · Cited by 375
Passenger deletions generate therapeutic vulnerabilities in cancer
Muller, F. L., Colla, S., Aquilanti, E., Manzo, V. E., Genovese, G., Lee, J., Eisenson, D., Narurkar, R., Deng, P., Nezi, L., et al. (2012) · Nature · doi:10.1038/nature11331 · Cited by 339
Iida, S., Rao, P., Nallasivam, P., Hibshoosh, H. H., Butler, M., Louie, D., Dyomin, V. G., Ohno, H., CHAGANTI, R. S. K., & Dalla‐Favera, R. (1996) · Blood · doi:10.1182/blood.v88.11.4110.4110 · Cited by 243
Constantinou, A. I., Kiguchi, K., & Huberman, E. (1990) · PubMed · Cited by 228
Functional genomics of genes with small open reading frames (sORFs) in S. cerevisiaePreprint
Kastenmayer, J. P., Ni, L., Chu, A. M., Kitchen, L. E., Au, W.-C., Yang, H., Carter, C. D., Wheeler, D. L., Davis, R. W., Boeke, J. D., et al. (2006) · Genome Research · doi:10.1101/gr.4355406 · Cited by 220
iTRAQ Labeling is Superior to mTRAQ for Quantitative Global Proteomics and Phosphoproteomics
Mertins, P., Udeshi, N. D., Clauser, K. R., Mani, D. R., Patel, J., Ong, S., Jaffe, J. D., & Carr, S. A. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.014423 · Cited by 190
Ohneda, K., & Yamamoto, M. P. (2002) · Acta Haematologica · doi:10.1159/000065660 · Cited by 187
Uren, A. G., Mikkers, H. M. M., Kool, J., van der Weyden, L., Lund, A. H., Wilson, C. H., Rance, R., Jonkers, J., van Lohuizen, M., Berns, A. J. M., et al. (2009) · Nature Protocols · doi:10.1038/nprot.2009.64 · Cited by 167
Integration target site selection by a resurrected human endogenous retrovirusPreprint
Brady, T., Lee, Y. N., Ronen, K., Malani, N., Berry, C. C., Bieniasz, P. D., & Bushman, F. D. (2009) · Genes & Development · doi:10.1101/gad.1762309 · Cited by 123
Gene essentiality, gene duplicability and protein connectivity in human and mouse
Liang, H., & Li, W. (2007) · Trends in Genetics · doi:10.1016/j.tig.2007.04.005 · Cited by 111
Mouse duplicate genes are as essential as singletons
Liao, B., & Zhang, J. (2007) · Trends in Genetics · doi:10.1016/j.tig.2007.05.006 · Cited by 107
The complex relationship of gene duplication and essentiality
Makino, T., Hokamp, K., & McLysaght, A. (2009) · Trends in Genetics · doi:10.1016/j.tig.2009.03.001 · Cited by 96
Sekiguchi, T., Iida, H., Fukumura, J., & Nishimoto, T. (2004) · Experimental Cell Research · doi:10.1016/j.yexcr.2004.07.005 · Cited by 82
Wu, S., Voelkerding, K. V., Sabatini, L. M., Chen, X. R., Huang, J., & Meisner, L. F. (1995) · PubMed · Cited by 66
Bouamar, H., Abbas, S., Lin, A., Wang, L., Jiang, D., Holder, K. N., Kinney, M. C., Hunicke‐Smith, S., & Aguiar, R. C. T. (2013) · Blood · doi:10.1182/blood-2013-04-495804 · Cited by 54
Ahmad, Y., Boisvert, F., Lundberg, E. K., Uhlén, M., & Lamond, A. I. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.013680 · Cited by 53
Andersson, B. S., Collins, V. P., Kurzrock, R., Larkin, D., Childs, C. C., Öst, Å., Cork, A., Trujillo, J., Freireich, E. J., & Siciliano, M. J. (1995) · PubMed · Cited by 39
Scappini, B., Gatto, S., Onida, F., Ricci, C., Divoký, V., Wierda, W. G., Andreeff, M., Dong, L., Hayes, K. J., Verstovšek, S., et al. (2004) · Cancer · doi:10.1002/cncr.20131 · Cited by 38
Taming Heavy Grignard Reagents: Intramolecular C–F and C–H Bond Cleavage
Swager, T. M., & Ong, W. J. (2014) · Synfacts · doi:10.1055/s-0034-1379129 · Cited by 12
Fusion of the LAZ3/BCL6 and BOB1/OBF1 genes by t(3; 11) (q27; q23) chromosomal translocation.
Galiègue‐Zouitina, S., Quief, S., Hildebrand, M., Denis, C., Lecocq, G., Collyn-d'Hooghe, M., Bastard, C., Yuille, M., Dyer, M. J. S., & Kerckaert, J. P. (1995) · PubMed · Cited by 5
Flagged first, then by citations
Cited by
Sorted by citations
Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9
Doench, J. G., Fusi, N., Sullender, M., Hegde, M., Vaimberg, E. W., Donovan, K. F., Smith, I., Tothova, Z., Wilen, C., Orchard, R., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3437 · Cited by 4,637
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
Meyers, R. M., Bryan, J. G., McFarland, J. M., Weir, B. A., Sizemore, A. E., Xu, H., Dharia, N. V., Montgomery, P. G., Cowley, G. S., Pantel, S., et al. (2017) · Nature Genetics · doi:10.1038/ng.3984 · Cited by 1,952
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
Self-citationA single–cell type transcriptomics map of human tissues
Karlsson, M., Zhang, C., Méar, L., Zhong, W., Digre, A., Katona, B., Sjöstedt, E., Butler, L., Odeberg, J., Dusart, P., et al. (2021) · Science Advances · doi:10.1126/sciadv.abh2169 · Cited by 1,768
Metadata
- Authors
- Wang, T., Birsoy, K., Hughes, N. W., Krupczak, K. M., Post, Y., Wei, J. J., Lander, E. S., & Sabatini, D. M.
- Affiliations
- Broad Institute (US)
- Whitehead Institute for Biomedical Research (US)
- Corresponding author
- Lander, Eric S.
- Sabatini, David M.
- Venue
- Science
- Published
- 2015-11-27
- Volume
- 350
- Issue
- 6264
- Pages
- 1096-1101
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC4662922
- OpenAlex
- W1934704664
- Cited by
- 1,617
- References
- 51
- Citations by year
- 2026: 60 · 2025: 103 · 2024: 116 · 2023: 147 · 2022: 146 · 2021: 199 · 2020: 182 · 2019: 171 · 2018: 182 · 2017: 193 · 2016: 104 · 2015: 10
- FWCI
- 70.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation
- National Institutes of Health (CA103866)
- Howard Hughes Medical Institute
- National Human Genome Research Institute (2U54HG003067-10)
- Massachussetts Institute of Technology Whitaker Health Sciences Fund
- 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 › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- essential genes, gene essentiality, CRISPR screen, single guide RNA library, cancer cell lines, RNA processing genes, nucleolus, cell proliferation and survival, cancer cell vulnerability, oncogenic drivers
- MeSH terms
- RNA, Guide, CRISPR-Cas Systems, Cell Nucleolus, Genetic Testing, Humans, Neoplasms, RNA Processing, Post-Transcriptional, Genomic Library, Genome, Human, Genes, Essential, Gene Expression Profiling, Cell Line, Tumor, Gene Knockout Techniques, CRISPR-Cas Systems
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