Identification and characterization of essential genes in the human genome

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

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

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

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

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

TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

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

CRISPR Screens in Synthetic Lethality and Combinatorial Therapies for Cancer

Castells‐Roca, L., Tejero, E., Rodríguez‐Santiago, B., & Surrallés, J. (2021) · Cancers · doi:10.3390/cancers13071591 · Cited by 45

Genome-wide CRISPR screen identifies CDK6 as a therapeutic target in adult T-cell leukemia/lymphoma

Ishio, T., Kumar, S., Shimono, J., Daenthanasanmak, A., Dubois, S. P., Lin, Y., Bryant, B. R., Petrus, M. N., Bachy, E., Huang, D. W., et al. (2021) · Blood · doi:10.1182/blood.2021012734 · Cited by 41

MOZ and Menin–MLL complexes are complementary regulators of chromatin association and transcriptional output in gastrointestinal stromal tumor

Hemming, M. L., Benson, M. R., Loycano, M. A., Anderson, J. A., Andersen, J. L., Taddei, M. L., Krivtsov, A. V., Aubrey, B. J., Cutler, J. A., Hatton, C., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-0646 · Cited by 39

Monoallelic variation in DHX9, the gene encoding the DExH-box helicase DHX9, underlies neurodevelopment disorders and Charcot-Marie-Tooth disease

Calame, D. G., Guo, T., Wang, C., Garrett, L., Jolly, A., Dawood, M., Kurolap, A., Henig, N. Z., Fatih, J. M., Herman, I., et al. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.06.013 · Cited by 42

Genome-wide CRISPR guide RNA design and specificity analysis with GuideScan2

Schmidt, H., Zhang, M., Chakarov, D., Bansal, V., Mourelatos, H. A., Rivera, F. J. S., Lowe, S. W., Ventura, A., Leslie, C. S., & Pritykin, Y. (2025) · Genome biology · doi:10.1186/s13059-025-03488-8 · Cited by 48

Identification of oncogenic driver mutations by genome-wide CRISPR-Cas9 dropout screening

Kießling, M. K., Schuierer, S., Stertz, S., Beibel, M., Bergling, S., Knehr, J., Carbone, W., de Vallière, C., Tchinda, J., Bouwmeester, T., et al. (2016) · BMC Genomics · doi:10.1186/s12864-016-3042-2 · Cited by 49

Genetic Network Complexity Shapes Background-Dependent Phenotypic Expression

Hou, J., van Leeuwen, J. S., Andrews, B., & Boone, C. M. (2018) · Trends in Genetics · doi:10.1016/j.tig.2018.05.006 · Cited by 44

Multiple-gene targeting and mismatch tolerance can confound analysis of genome-wide pooled CRISPR screens

Fortin, J., Tan, J., Gascoigne, K. E., Haverty, P. M., Forrest, W. F., Costa, M. R., & Martin, S. E. (2019) · Genome biology · doi:10.1186/s13059-019-1621-7 · Cited by 42

γ-tubulin as a signal-transducing molecule and meshwork with therapeutic potential

Alvarado-Kristensson, M. (2018) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-018-0021-x · Cited by 43

New tools for old drugs: Functional genetic screens to optimize current chemotherapy

Gerhards, N. M., & Rottenberg, S. (2018) · Drug Resistance Updates · doi:10.1016/j.drup.2018.01.001 · Cited by 43

Long non-coding RNAs as molecular players in plant defense against pathogens

Zaynab, M., Fatima, M., Abbas, S., Umair, M., Sharif, Y., & Raza, M. A. (2018) · Microbial Pathogenesis · doi:10.1016/j.micpath.2018.05.050 · Cited by 43

An MXD1-derived repressor peptide identifies noncoding mediators of MYC-driven cell proliferation

Raffeiner, P., Hart, J. R., García-Caballero, D., Bar‐Peled, L., Weinberg, M. S., & Vogt, P. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921786117 · Cited by 43

Multi-omic analysis reveals significantly mutated genes and DDX3X as a sex-specific tumor suppressor in cutaneous melanoma

Alkallas, R., Lajoie, M., Moldoveanu, D., Hoang, K. V., Lefrançois, P., Lingrand, M., Ahanfeshar-Adams, M., Watters, K. A., Spatz, A., Zippin, J. H., et al. (2020) · Nature Cancer · doi:10.1038/s43018-020-0077-8 · Cited by 43

Bub1 and CENP-U redundantly recruit Plk1 to stabilize kinetochore-microtubule attachments and ensure accurate chromosome segregation

Chen, Q., Zhang, M., Pan, X., Yuan, X., Zhou, L., Yan, L., Zeng, L., Xu, J., Yang, B., Zhang, L., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109740 · Cited by 40

Evolution of Molecular Targeted Cancer Therapy: Mechanisms of Drug Resistance and Novel Opportunities Identified by CRISPR-Cas9 Screening

Hou, J., He, Z., Liu, T., Chen, D., Wang, B., Wen, Q., & Zheng, X. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.755053 · Cited by 48

Rational design of a SOCS1-edited tumor-infiltrating lymphocyte therapy using CRISPR/Cas9 screens

Schlabach, M. R., Lin, S., Collester, Z. R., Wrocklage, C., Shenker, S., Calnan, C., Xu, T., Gannon, H., Williams, L. J., Thompson, F., et al. (2023) · Journal of Clinical Investigation · doi:10.1172/jci163096 · Cited by 44

Validation of Synthetic CRISPR Reagents as a Tool for Arrayed Functional Genomic Screening

Tan, J., & Martin, S. E. (2016) · PLoS ONE · doi:10.1371/journal.pone.0168968 · Cited by 39

Gene discovery informatics toolkit defines candidate genes for unexplained infertility and prenatal or infantile mortality

Dawes, R., Lek, M., & Cooper, S. T. (2019) · npj Genomic Medicine · doi:10.1038/s41525-019-0081-z · Cited by 41

RNA as the stone guest of protein aggregation

Louka, A., Zacco, E., Temussi, P. A., Tartaglia, G. G., & Pastore, A. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa822 · Cited by 37

Time-resolved single-cell sequencing identifies multiple waves of mRNA decay during the mitosis-to-G1 phase transition

Krenning, L., Sonneveld, S., & Tanenbaum, M. E. (2022) · eLife · doi:10.7554/elife.71356 · Cited by 41

Recent advances in targeted protein degraders as potential therapeutic agents

Yang, N., Kong, B., Zhu, Z., Huang, F., Zhang, L., Lu, T., Chen, Y., Zhang, Y., & Jiang, Y. (2023) · Molecular Diversity · doi:10.1007/s11030-023-10606-w · Cited by 44

O-GlcNAcase Is an RNA Polymerase II Elongation Factor Coupled to Pausing Factors SPT5 and TIF1β

Resto, M., Kim, B., Fernandez, A. G., Abraham, B. J., Zhao, K., & Lewis, B. A. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.751420 · Cited by 43

Suppression of protein tyrosine phosphatase N23 predisposes to breast tumorigenesis via activation of FYN kinasePreprint

Zhang, S., Fan, G., Yuan, H., Hammell, M., Wilkinson, J. E., & Tonks, N. K. (2017) · Genes & Development · doi:10.1101/gad.304261.117 · Cited by 42

Evaluation and Design of Genome-wide CRISPR/Cas9 Knockout ScreensPreprint

Hart, T., Tong, A. H. Y., Chan, K., van Leeuwen, J. S., Seetharaman, A., Aregger, M., Chandrashekhar, M., Hustedt, N., Seth, S., Noonan, A. J. C., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/117341 · Cited by 41

CRISPR-Cas9: from Genome Editing to Cancer Research

Chen, S., Sun, H., Miao, K., & Deng, C. (2016) · International Journal of Biological Sciences · doi:10.7150/ijbs.17421 · Cited by 40

Small interfering RNAs based on huntingtin trinucleotide repeats are highly toxic to cancer cells

Murmann, A. E., Gao, Q. Q., Putzbach, W., Patel, M., Bartom, E. T., Law, C., Bridgeman, B. B., Chen, S., McMahon, K. M., Thaxton, C. S., et al. (2018) · EMBO Reports · doi:10.15252/embr.201745336 · Cited by 40

Genome-Wide Determination of Gene Essentiality by Transposon Insertion Sequencing in Yeast Pichia pastoris

Zhu, J., Gong, R., Zhu, Q., He, Q., Xu, N., Xu, Y., Cai, M., Zhou, X., Zhang, Y., & Zhou, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-28217-z · Cited by 38

Systematic analysis reveals the prevalence and principles of bypassable gene essentiality

Li, J., Wang, H.-T., Wang, W.-T., Zhang, X., Suo, F., Ren, J.-Y., Bi, Y., Xue, Y.-X., Hu, W., Dong, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08928-1 · Cited by 43

The conditional nature of gene essentiality

Larrimore, K. E., & Rancati, G. I. (2019) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2019.07.015 · Cited by 39

STAG1 vulnerabilities for exploiting cohesin synthetic lethality in STAG2-deficient cancers

van der Lelij, P., Newman, J. A., Lieb, S., Jude, J., Katis, V. L., Hoffmann, T., Hinterndorfer, M., Bader, G., Kraut, N., Pearson, M. A., et al. (2020) · Life Science Alliance · doi:10.26508/lsa.202000725 · Cited by 40

Conformational-Design-Driven Discovery of EZM0414: A Selective, Potent SETD2 Inhibitor for Clinical Studies

Alford, J. S., Lampe, J. W., Brach, D., Chesworth, R., Cosmopoulos, K., Duncan, K. W., Eckley, S. T., Kutok, J. L., Raimondi, A., Riera, T. V., et al. (2022) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.2c00167 · Cited by 43

Endoplasmic Reticulum Membrane Contact Sites, Lipid Transport, and NeurodegenerationPreprint

Guillén-Samander, A., & Camilli, P. V. D. (2022) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a041257 · Cited by 39

Parallel genome-wide screens identify synthetic viable interactions between the BLM helicase complex and Fanconi anemia

Moder, M., Velimezi, G., Owusu, M., Mazouzi, A., Wiedner, M., da Silva, J. F., Robinson-Garcia, L., Schischlik, F., Slavkovský, R., Královics, R., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01439-x · Cited by 44

Advancements in delivery Systems for Proteolysis-Targeting Chimeras (PROTACs): Overcoming challenges and expanding biomedical applications

Yu, Y., Hu, W., Xu, Y., Xu, H.-B., & Gao, J.-Q. (2025) · Journal of Controlled Release · doi:10.1016/j.jconrel.2025.113719 · Cited by 44

Haploid Human Embryonic Stem Cells: Half the Genome, Double the Value

Yilmaz, A., Peretz, M., Sagi, I., & Benvenisty, N. (2016) · Cell stem cell · doi:10.1016/j.stem.2016.10.009 · Cited by 40

Synergism and aggregation behaviour in an aqueous binary mixture of cationic–zwitterionic surfactants: physico-chemical characterization with molecular simulation approach

Kanoje, B., Padsala, S., Parikh, J. K., Sahoo, S. K., Kuperkar, K. C., & Bahadur, P. (2017) · Physical Chemistry Chemical Physics · doi:10.1039/c7cp05917e · Cited by 39

Single-Cell Genomic Analysis in Plants

Yuan, Y., Lee, H., Hu, H., Scheben, A., & Edwards, D. (2018) · Genes · doi:10.3390/genes9010050 · Cited by 38

6mer seed toxicity in tumor suppressive microRNAs

Gao, Q. Q., Putzbach, W., Murmann, A. E., Chen, S., Sarshad, A. A., Peter, J. M., Bartom, E. T., Hafner, M., & Peter, M. E. (2018) · Nature Communications · doi:10.1038/s41467-018-06526-1 · Cited by 38

Mapping Gene Circuits Essential for Germ Layer Differentiation via Loss-of-Function Screens in Haploid Human Embryonic Stem Cells

Yilmaz, A., Braverman-Gross, C., Bialer-Tsypin, A., Peretz, M., & Benvenisty, N. (2020) · Cell stem cell · doi:10.1016/j.stem.2020.06.023 · Cited by 40

Genome-scale CRISPR screening at high sensitivity with an empirically designed sgRNA library

Henkel, L., Rauscher, B., Schmitt, B. A., Winter, J., & Boutros, M. (2020) · BMC Biology · doi:10.1186/s12915-020-00905-1 · Cited by 40

EVI1 drives leukemogenesis through aberrant ERG activation

Schmoellerl, J., Barbosa, I. A. M., Minnich, M., Andersch, F., Smeenk, L., Havermans, M., Eder, T., Neumann, T., Jude, J., Fellner, M., et al. (2022) · Blood · doi:10.1182/blood.2022016592 · Cited by 41

RISC-y Business: Limitations of Short Hairpin RNA-Mediated Gene Silencing in the Brain and a Discussion of CRISPR/Cas-Based Alternatives

Goel, K., & Ploski, J. E. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.914430 · Cited by 41

Rapid iPSC inclusionopathy models shed light on formation, consequence, and molecular subtype of α-synuclein inclusions

Lam, I., Ndayisaba, A., Lewis, A. J., Fu, Y., Sagredo, G. T., Kuzkina, A., Zaccagnini, L., Celikag, M., Sandoe, J., Sanz, R. L., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.06.002 · Cited by 37

Mutational Signatures Are Critical for Proper Estimation of Purifying Selection Pressures in Cancer Somatic Mutation Data When Using the dN/dS Metric

den Eynden, J. V., & Larsson, E. (2017) · Frontiers in Genetics · doi:10.3389/fgene.2017.00074 · Cited by 34

Spindle Assembly Checkpoint Inhibition Can Resensitize p53-Null Stem Cells to Cancer Chemotherapy

Liu, C., Banister, C. E., & Buckhaults, P. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-3024 · Cited by 39

OBF1 and Oct factors control the germinal center transcriptional program

Song, S., Cao, C., Choukrallah, M.-A., Tang, F., Christofori, G., Kohler, H., Wu, F., Fodor, B. D., Frederiksen, M. U., Willis, S. N., et al. (2021) · Blood · doi:10.1182/blood.2020010175 · Cited by 40

Long-read cDNA sequencing identifies functional pseudogenes in the human transcriptome

Troskie, R., Jafrani, Y., Mercer, T. R., Ewing, A. D., Faulkner, G. J., & Cheetham, S. W. (2021) · Genome biology · doi:10.1186/s13059-021-02369-0 · Cited by 41

An optimized genome-wide, virus-free CRISPR screen for mammalian cells

Xiong, K., Karottki, K. J. L. C., Hefzi, H., Li, S., Grav, L. M., Li, S., Spahn, P. N., Lee, J. S., Ventiņa, I., Lee, G. M., et al. (2021) · Cell Reports Methods · doi:10.1016/j.crmeth.2021.100062 · Cited by 38

Identification of TEX101-associated Proteins Through Proteomic Measurement of Human Spermatozoa Homozygous for the Missense Variant rs35033974*

Schiza, C., Korbakis, D., Jarvi, K. A., Diamandis, E. P., & Drabovich, A. P. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra118.001170 · Cited by 38

Probing condensate microenvironments with a micropeptide killswitch

Zhang, Y., Stöppelkamp, I., Fernández‐Pernas, P., Allram, M., Charman, M., Magalhães, A. P., Piédavent, M., Sommer, G., Sung, Y.-C., Meyer, K., et al. (2025) · Nature · doi:10.1038/s41586-025-09141-5 · Cited by 37

Requirements for Comprehensive Pharmacogenetic Genotyping Platforms

Lauschke, V. M., & Ingelman‐Sundberg, M. (2016) · Pharmacogenomics · doi:10.2217/pgs-2016-0023 · Cited by 37

Characterization of chromosomal abnormalities in pregnancy losses reveals critical genes and loci for human early development

Chen, Y., Bartanus, J., Liang, D., Zhu, H., Breman, A. M., Smith, J. L., Wang, H., Ren, Z., Patel, A., Stankiewicz, P., et al. (2017) · Human Mutation · doi:10.1002/humu.23207 · Cited by 40

MDM4 Is Targeted by 1q Gain and Drives Disease in Burkitt Lymphoma

Hüllein, J., Slabicki, M. M., Rosołowski, M., Jethwa, A., Habringer, S., Tomska, K., Kurilov, R., Lu, J., Scheinost, S., Wagener, R., et al. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-3438 · Cited by 38

krCRISPR: an easy and efficient strategy for generating conditional knockout of essential genes in cells

Wang, B., Wang, Z., Wang, D., Zhang, B., Ong, S., Li, M., Yu, W., & Wang, Y. (2019) · Journal of Biological Engineering · doi:10.1186/s13036-019-0150-y · Cited by 37

Vmp1, Vps13D, and Marf/Mfn2 function in a conserved pathway to regulate mitochondria and ER contact in development and disease

Shen, J. L., Fortier, T. M., Zhao, Y. G., Wang, R., Burmeister, M., & Baehrecke, E. H. (2021) · Current Biology · doi:10.1016/j.cub.2021.04.062 · Cited by 36

Knockdown of HSPA9 induces TP53-dependent apoptosis in human hematopoietic progenitor cells

Liu, T., Krysiak, K., Shirai, C. L., Kim, S. P., Shao, J., Ndonwi, M., & Walter, M. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170470 · Cited by 36

Emerging cancer-specific therapeutic aptamers

Yoon, S., & Rossi, J. J. (2017) · Current Opinion in Oncology · doi:10.1097/cco.0000000000000389 · Cited by 36

CRISPR–Cas9 Genetic Analysis of Virus–Host Interactions

Gebre, M. S., Nomburg, J., & Gewurz, B. E. (2018) · Viruses · doi:10.3390/v10020055 · Cited by 37

Impact of Genetic Variation on CRISPR-Cas Targeting

Canver, M. C., Joung, J. K., & Pinello, L. (2018) · The CRISPR Journal · doi:10.1089/crispr.2017.0016 · Cited by 36

Direct Targeting of MYCN Gene Amplification by Site-Specific DNA Alkylation in Neuroblastoma

Yoda, H., Inoue, T., Shinozaki, Y., Lin, J. C., Watanabe, T., Koshikawa, N., Takatori, A., & Nagase, H. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-1198 · Cited by 36

Comprehensive review of the identification of essential genes using computational methods: focusing on feature implementation and assessment

Dong, C., Jin, Y.-T., Hua, H., Wen, Q., Luo, S., Zheng, W., & Guo, F. (2018) · Briefings in Bioinformatics · doi:10.1093/bib/bby116 · Cited by 35

A Chemical Screen Identifies Compounds Capable of Selecting for Haploidy in Mammalian Cells

Olbrich, T., Vega-Sendino, M., Murga, M., de Cárcer, G., Malumbres, M., Ortega, S., Ruiz, S., & Fernández-Capetillo, Ó. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.06.060 · Cited by 43

Quantitative Proteomics Analysis of Lytic KSHV Infection in Human Endothelial Cells Reveals Targets of Viral Immune Modulation

Gabaev, I., Williamson, J. C., Crozier, T. W. M., Schulz, T. F., & Lehner, P. J. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108249 · Cited by 36

Somatic XIST activation and features of X chromosome inactivation in male human cancers

Sadagopan, A., Nasim, I. T., Li, J., Achom, M., Zhang, C., & Viswanathan, S. R. (2022) · Cell Systems · doi:10.1016/j.cels.2022.10.002 · Cited by 36

Genome-scale CRISPR screening in a single mouse liver

Keys, H. R., & Knouse, K. A. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100217 · Cited by 35

hnRNPM protects against the dsRNA-mediated interferon response by repressing LINE-associated cryptic splicing

Zheng, R., Dunlap, M., Bobkov, G. O. M., Gonzalez‐Figueroa, C., Patel, K. J., Lyu, J., Harvey, S. E., Chan, T. W., Quinones-Valdez, G., Choudhury, M., et al. (2024) · Molecular Cell · doi:10.1016/j.molcel.2024.05.004 · Cited by 44

Functional interrogation of non-coding DNA through CRISPR genome editing

Canver, M. C., Bauer, D. E., & Orkin, S. H. (2017) · Methods · doi:10.1016/j.ymeth.2017.03.008 · Cited by 36

Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism

Ryu, J. Y., Kim, H. U., & Lee, S. Y. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1713050114 · Cited by 34

Network Embedding the Protein–Protein Interaction Network for Human Essential Genes Identification

Dai, W., Chang, Q., Peng, W., Zhong, J., & Li, Y. (2020) · Genes · doi:10.3390/genes11020153 · Cited by 35

Reprogramming microbial populations using a programmed lysis system to improve chemical production

Diao, W., Guo, L., Ding, Q., Gao, C., Hu, G., Chen, X., Li, Y., Zhang, L., Chen, W., Chen, J., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27226-3 · Cited by 35

Tutorial: design and execution of CRISPR in vivo screens

Braun, C. J., Adames, A. C., Saur, D., & Rad, R. (2022) · Nature Protocols · doi:10.1038/s41596-022-00700-y · Cited by 38

Genome-wide CRISPR screens identify ILF3 as a mediator of mTORC1-dependent amino acid sensing

Yan, G., Yang, J., Li, W., Guo, A., Guan, J., & Liu, Y. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01123-x · Cited by 36

Removal of evidential motion-contaminated and poorly fitted image data improves IVIM diffusion MRI parameter scan–rescan reproducibility

Chevallier, O., Zhou, N., He, J., Loffroy, R., & Wáng, Y. X. J. (2018) · Acta Radiologica · doi:10.1177/0284185118756949 · Cited by 34

Integrated Analysis Reveals That miR-193b, miR-671, and TREM-1 Correlate With a Good Response to Treatment of Human Localized Cutaneous Leishmaniasis Caused by Leishmania braziliensis

Nunes, S., Bonyek-Silva, Í., Ampuero, M. R., de Noronha, A. L. L., de Souza, L. C. L., Correia, T. C., Khouri, R., Boaventura, V. S., Barral, A. M. P., Ramos, P. I. P., et al. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00640 · Cited by 36

Large-scale analysis of human gene expression variability associates highly variable drug targets with lower drug effectiveness and safety

Simonovsky, E., Schuster, R., & Yeger‐Lotem, E. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz023 · Cited by 34

Transcriptional activity and strain-specific history of mouse pseudogenes

Sisu, C., Muir, P., Frankish, A., Fiddes, I. T., Diekhans, M., Thybert, D., Odom, D. T., Flicek, P., Keane, T., Hubbard, T., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17157-w · Cited by 36

Use of signals of positive and negative selection to distinguish cancer genes and passenger genes

Bányai, L., Trexler, M., Kerekes, K., Csuka, O., & Patthy, L. (2021) · eLife · doi:10.7554/elife.59629 · Cited by 36

Replication-dependent cytotoxicity and Spartan-mediated repair of trapped PARP1–DNA complexes

Saha, L. K., Murai, Y., Saha, S. T., Jo, U., Tsuda, M., Takeda, S., & Pommier, Y. G. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab777 · Cited by 34

Fitness effects of CRISPR/Cas9-targeting of long noncoding RNA genes

Horlbeck, M. A., Liu, S. J., Chang, H. Y., Lim, D. A., & Weissman, J. S. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0428-0 · Cited by 34

Reduced O-GlcNAcase expression promotes mitotic errors and spindle defects

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Generation of an arrayed CRISPR-Cas9 library targeting epigenetic regulators: from high-content screens to in vivo assays

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Application of CRISPR genetic screens to investigate neurological diseases

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Comprehensive host-pathogen protein-protein interaction network analysis

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Genome-wide CRISPR screens reveal synthetic lethal interaction between CREBBP and EP300 in diffuse large B-cell lymphoma

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Development of a novel PTD-mediated IVT-mRNA delivery platform for potential protein replacement therapy of metabolic/genetic disorders

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Metabolic-scale gene activation screens identify SLCO2B1 as a heme transporter that enhances cellular iron availability

Ünlü, G., Prizer, B., Erdal, R., Yeh, H.-W., Bayraktar, E. C., & Birsoy, K. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.05.024 · Cited by 34

Most cancers carry a substantial deleterious load due to Hill-Robertson interference

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Human Knockout Carriers: Dead, Diseased, Healthy, or Improved?

Narasimhan, V. M., Xue, Y., & Tyler‐Smith, C. (2016) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2016.02.006 · Cited by 35

Identifying synthetic lethal targets using CRISPR/Cas9 system

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Identifying clusters of cis-regulatory elements underpinning TAD structures and lineage-specific regulatory networksPreprint

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Requirement for YAP1 signaling in myxoid liposarcoma

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A genetic basis for sex differences in Xp11 translocation renal cell carcinoma

Achom, M., Sadagopan, A., Bao, C., McBride, F., Li, J., Konda, P., Tourdot, R. W., Xu, Q., Nakhoul, M., Gallant, D. S., et al. (2024) · Cell · doi:10.1016/j.cell.2024.07.038 · Cited by 35

Simvastatin Inhibits Cell Proliferation and Migration in Human Anaplastic Thyroid Cancer

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Role of duplicate genes in determining the tissue-selectivity of hereditary diseases

Barshir, R., Hekselman, I., Shemesh, N., Sharon, M., Novack, L., & Yeger‐Lotem, E. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007327 · Cited by 32

Inducible Exoc7/Exo70 knockout reveals a critical role of the exocyst in insulin-regulated GLUT4 exocytosis

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Genomics-guided pre-clinical development of cancer therapies

Francies, H. E., McDermott, U., & Garnett, M. J. (2020) · Nature Cancer · doi:10.1038/s43018-020-0067-x · Cited by 32

dbGuide: a database of functionally validated guide RNAs for genome editing in human and mouse cells

Gooden, A. A., Evans, C. N., Sheets, T. P., Clapp, M. E., & Chari, R. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa848 · Cited by 35

CRISPR screen in cancer: status quo and future perspectives.

He, C., Han, S., Chang, Y., Wu, M., Zhao, Y., Chen, C. Y., & Chu, X. (2021) · PubMed · Cited by 37

Path to improving the life cycle and quality of genome-scale models of metabolism

Seif, Y., & Palsson, B. Ø. (2021) · Cell Systems · doi:10.1016/j.cels.2021.06.005 · Cited by 26

Discovery of putative tumor suppressors from CRISPR screens reveals rewired lipid metabolism in acute myeloid leukemia cells

Lenoir, W. F., Morgado, M. C., DeWeirdt, P. C., McLaughlin, M. E., Griffith, A. L., Sangree, A. K., Feeley, M. N., Anvar, N. E., Kim, E., Bertolet, L. L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26867-8 · Cited by 31

Systematic discovery and classification of human cell line essential genesPreprint

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The search for cancer cell vulnerabilities

Ray, L. B. (2017) · Science · doi:10.1126/science.355.6328.921-b

Genome-wide identification of the essential protein-coding genes and long non-coding RNAs for human pan-cancer

Zhang, Y., Yang, T., Ji, H., Li, W., Guo, X., Ng, D. M., Haleem, M., Yang, X., Dong, C., Zhao, J., et al. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz230 · Cited by 10

A High-Resolution Genome-Wide CRISPR/Cas9 Viability Screen Reveals Structural Features and Contextual Diversity of the Human Cell-Essential Proteome

Bertomeu, T., Coulombe‐Huntington, J., Chatr‐aryamontri, A., Bourdages, K. G., Coyaud, É., Raught, B., Xia, Y., & Tyers, M. (2017) · Molecular and Cellular Biology · doi:10.1128/mcb.00302-17 · Cited by 100

Comprehensive Analysis and Prediction of the Essential Genes in Human Cancer CellsPreprint

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