A Genome-wide CRISPR Screen in Primary Immune Cells to Dissect Regulatory Networks
Open accessAbstract
Finding the components of cellular circuits and determining their functions systematically remains a major challenge in mammalian cells. Here, we introduced genome-wide pooled CRISPR-Cas9 libraries into dendritic cells (DCs) to identify genes that control the induction of tumor necrosis factor (Tnf) by bacterial lipopolysaccharide (LPS), a key process in the host response to pathogens, mediated by the Tlr4 pathway. We found many of the known regulators of Tlr4 signaling, as well as dozens of previously unknown candidates that we validated. By measuring protein markers and mRNA profiles in DCs that are deficient in known or candidate genes, we classified the genes into three functional modules with distinct effects on the canonical responses to LPS and highlighted functions for the PAF complex and oligosaccharyltransferase (OST) complex. Our findings uncover new facets of innate immune circuits in primary cells and provide a genetic approach for dissection of mammalian cell circuits.
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
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?
Historically pooled screens rely on enriching populations for a phenotype followed by NGS to measure perturbation abundance.
“Historically, pooled screens have relied on enriching populations of cells for a phenotype of interest, followed by next-generation sequencing (NGS) to measure changes in perturbation abundance.”
From Optical Pooled Screens in Human Cells (2019) · cites this paper as Parnas et al., 2015
Pooling gene perturbations increases scalability but cannot be combined with imaging of complex or dynamic cellular phenotypes.
“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 Parnas et al., 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077 · see citing works
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232 · see citing works
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 · see citing works
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855 · see citing works
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,477 · see citing works
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658 · see citing works
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts034 · Cited by 6,231 · see citing works
Improved 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 · see citing works
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 · see citing works
Self-citationUniProt: a hub for protein information
The UniProt Consortium (2015) · Nucleic Acids Research · doi:10.1093/nar/gku989 · Cited by 5,106 · see citing works
Rappsilber, J., Mann, M., & Ishihama, Y. (2007) · Nature Protocols · doi:10.1038/nprot.2007.261 · Cited by 4,641 · see citing works
Darnell, J. E. (1997) · Science · doi:10.1126/science.277.5332.1630 · Cited by 3,979 · see citing works
GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
Eden, E., Navon, R., Steinfeld, I., Lipson, D., & Yakhini, Z. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-48 · Cited by 3,356 · see citing works
Lutz, M. B., Kukutsch, N. A., Ogilvie, A. L. J., Rößner, S., Koch, F., Romani, N., & Schuler, G. (1999) · Journal of Immunological Methods · doi:10.1016/s0022-1759(98)00204-x · Cited by 2,972 · see citing works
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 · see citing works
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 · cited 1× · see citing works
“…short palindromic repeats (CRISPR)-associated nuclease Cas9 system has enabled pooled genome-wide screens of gene function (Gilbert et al., 2014; Konermann et al., 2015; Shalem et al., 2014; Wang et al., Cell 162, 675–686, July 30, 2015 ª2015 Elsevier Inc. 675 (A) Flow cytometry of…”
BackgroundSelf-citationGenome-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 · see citing works
Franke, A., McGovern, D. P. B., Barrett, J. C., Wang, K., Radford-Smith, G. L., Ahmad, T., Lees, C. W., Balschun, T., Lee, J., Roberts, R., et al. (2010) · Nature Genetics · doi:10.1038/ng.717 · Cited by 2,520 · see citing works
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
Picelli, S., Björklund, Å. K., Faridani, O. R., Sagasser, S., Winberg, G., & Sandberg, R. (2013) · Nature Methods · doi:10.1038/nmeth.2639 · Cited by 2,358 · see citing works
CRISPR-Cas9 Knockin Mice for Genome Editing and Cancer Modeling
Platt, R. J., Chen, S., Zhou, Y., Yim, M. J., Swiech, L., Kempton, H. R., Dahlman, J. E., Parnas, O., Eisenhaure, T. M., Jovanovic, M., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.014 · Cited by 2,001 · see citing works
Self-citationRational design of highly active sgRNAs for CRISPR-Cas9-mediated gene inactivation
Doench, J. G., Hartenian, E., Graham, D. B., Tothova, Z., Hegde, M., Smith, I., Sullender, M., Ebert, B. L., Xavier, R. J., & Root, D. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.3026 · Cited by 1,617 · see citing works
Feedback Inhibition of Macrophage Tumor Necrosis Factor-α Production by Tristetraprolin
Carballo, E., Lai, W. S., & Blackshear, P. J. (1998) · Science · doi:10.1126/science.281.5379.1001 · Cited by 1,162 · see citing works
Single-cell RNA-seq reveals dynamic paracrine control of cellular variation
Shalek, A. K., Satija, R., Shuga, J., Trombetta, J. J., Gennert, D., Lu, D., Chen, P., Gertner, R. S., Gaublomme, J. T., Yosef, N., et al. (2014) · Nature · doi:10.1038/nature13437 · Cited by 1,000 · see citing works
Self-citationTLR activation of the transcription factor XBP1 regulates innate immune responses in macrophages
Martinon, F., Chen, X., Lee, A.-H., & Glimcher, L. H. (2010) · Nature Immunology · doi:10.1038/ni.1857 · Cited by 996 · see citing works
ER Stress Sensor XBP1 Controls Anti-tumor Immunity by Disrupting Dendritic Cell Homeostasis
Cubillos-Ruiz, J. R., Silberman, P. C., Rutkowski, M. R., Chopra, S., Perales-Puchalt, A., Song, M., Zhang, S., Bettigole, S. E., Gupta, D., Holcomb, K., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.025 · Cited by 933 · see citing works
Precision Mapping of an In Vivo N-Glycoproteome Reveals Rigid Topological and Sequence Constraints
Zielinska, D. F., Gnad, F., Wiśniewski, J. R., & Mann, M. (2010) · Cell · doi:10.1016/j.cell.2010.04.012 · Cited by 895 · see citing works
ImmPort: disseminating data to the public for the future of immunology
Bhattacharya, S., Andorf, S., Gomes, L., Dunn, P. J., Schaefer, H., Pontius, J. U., Berger, P., Desborough, V., Smith, T., Campbell, J. P., et al. (2014) · Immunologic Research · doi:10.1007/s12026-014-8516-1 · Cited by 807 · see citing works
Control of Inducible Gene Expression by Signal-Dependent Transcriptional Elongation
Hargreaves, D. C., Horng, T., & Medzhitov, R. M. (2009) · Cell · doi:10.1016/j.cell.2009.05.047 · Cited by 649 · see citing works
Integrated proteomic analysis of post-translational modifications by serial enrichment
Mertins, P., Qiao, J., Patel, J., Udeshi, N. D., Clauser, K. R., Mani, D. R., Burgess, M. W., Gillette, M. A., Jaffe, J. D., & Carr, S. A. (2013) · Nature Methods · doi:10.1038/nmeth.2518 · Cited by 619 · see citing works
Self-citationHaploid Genetic Screens in Human Cells Identify Host Factors Used by Pathogens
Carette, J., Guimarães, C. P., Varadarajan, M., Park, A. S., Wuethrich, I., Godarova, A., Kotecki, M., Cochran, B., Spooner, E., Ploegh, H., et al. (2009) · Science · doi:10.1126/science.1178955 · Cited by 508 · see citing works
Unbiased Reconstruction of a Mammalian Transcriptional Network Mediating Pathogen Responses
Amit, I., Garber, M., Chevrier, N., Leite, A. P., Donner, Y., Eisenhaure, T., Guttman, M., Grenier, J. K., Li, W., Zuk, O., et al. (2009) · Science · doi:10.1126/science.1179050 · Cited by 488 · see citing works
Self-citationMahtani, K. R., Brook, M., Dean, J. L. E., Sully, G., Saklatvala, J., & Clark, A. R. (2001) · Molecular and Cellular Biology · doi:10.1128/mcb.21.9.6461-6469.2001 · Cited by 448 · see citing works
Minimizing the risk of reporting false positives in large-scale RNAi screens
Echeverri, C. J., Beachy, P. A., Baum, B., Boutros, M., Buchholz, F., Chanda, S. K., Downward, J., Ellenberg, J., Fraser, A. G., Hacohen, N., et al. (2006) · Nature Methods · doi:10.1038/nmeth1006-777 · Cited by 422 · see citing works
Self-citationCompensatory dendritic cell development mediated by BATF–IRF interactions
Tussiwand, R., Lee, W.-L., Murphy, T. L., Mashayekhi, M., Wumesh, K. C., Albring, J. C., Satpathy, A. T., Rotondo, J. A., Edelson, B. T., Kretzer, N. M., et al. (2012) · Nature · doi:10.1038/nature11531 · Cited by 419 · see citing works
Measuring error rates in genomic perturbation screens: gold standards for human functional genomics
Hart, T., Brown, K. R., Sircoulomb, F., Rottapel, R. K., & Moffat, J. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145216 · Cited by 389 · see citing works
InnateDB: facilitating systems‐level analyses of the mammalian innate immune response
Lynn, D. J., Winsor, G. L., Chan, C. C., Richard, N., Laird, M. R., Barsky, A., Gardy, J. L., Roche, F. M., Chan, T. H. W., Shah, N., et al. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.55 · Cited by 382 · see citing works
Garber, M., Yosef, N., Goren, A., Raychowdhury, R., Thielke, A., Guttman, M., Robinson, J., Minie, B., Chevrier, N., Itzhaki, Z., et al. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.07.030 · Cited by 369 · see citing works
Self-citationGoudreault, M., D'Ambrosio, L. M., Kean, M. J., Mullin, M. J., Larsen, B. G., Sanchez, A., Chaudhry, S., Chen, G. I., Sicheri, F., Nesvizhskii, A. I., et al. (2009) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m800266-mcp200 · Cited by 359 · see citing works
Suppression of the antiviral response by an influenza histone mimic
Marazzi, I., Ho, J., Kim, J., Manicassamy, B., Dewell, S. B., Albrecht, R. A., Seibert, C. W., Schaefer, U., Jeffrey, K. L., Prinjha, R. K., et al. (2012) · Nature · doi:10.1038/nature10892 · Cited by 312 · see citing works
Dean, J. L. E., Wait, R., Mahtani, K. R., Sully, G., Clark, A. R., & Saklatvala, J. (2001) · Molecular and Cellular Biology · doi:10.1128/mcb.21.3.721-730.2001 · Cited by 294 · see citing works
The Parafibromin Tumor Suppressor Protein Is Part of a Human Paf1 Complex
Rozenblatt–Rosen, O., Hughes, C. M., Nannepaga, S., et al. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.2.612-620.2005 · Cited by 284 · see citing works
MD-2 and TLR4 N-Linked Glycosylations Are Important for a Functional Lipopolysaccharide Receptor
Correia, J. D. S., & Ulevitch, R. J. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m109910200 · Cited by 262 · see citing works
The Paf1 complex: Platform or player in RNA polymerase II transcription?
Jaehning, J. A. (2010) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2010.01.001 · Cited by 260 · see citing works
Yeast mutants deficient in protein glycosylation.
Huffaker, T. C., & Robbins, P. W. (1983) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.80.24.7466 · Cited by 241 · see citing works
Ctr9, Rtf1, and Leo1 Are Components of the Paf1/RNA Polymerase II Complex
Mueller, C. L., & Jaehning, J. A. (2002) · Molecular and Cellular Biology · doi:10.1128/mcb.22.7.1971-1980.2002 · Cited by 241 · see citing works
Tiedje, C., Ronkina, N., Tehrani, M., Dhamija, S., Laaß, K., Holtmann, H., Kotlyarov, A., & Gaestel, M. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002977 · Cited by 222 · see citing works
Bochenek, G., Häsler, R., Mokhtari, N. E. E., König, I. R., Loos, B. G., Jepsen, S., Rosenstiel, P. C., Schreiber, S., & Schäefer, A. S. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt299 · Cited by 213 · see citing works
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 191 · see citing works
Self-citationHaeuptle, M. A., & Hennet, T. (2009) · Human Mutation · doi:10.1002/humu.21126 · Cited by 185 · see citing works
Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets
Kim, H. D., Shay, T., O’Shea, E. K., & Regev, A. (2009) · Science · doi:10.1126/science.1171347 · Cited by 179 · see citing works
Self-citationSystematic Discovery of TLR Signaling Components Delineates Viral-Sensing Circuits
Chevrier, N., Mertins, P., Artyomov, M. N., Shalek, A. K., Iannacone, M., Ciaccio, M. F., Gat-Viks, I., Tonti, E., DeGrace, M. M., Clauser, K. R., et al. (2011) · Cell · doi:10.1016/j.cell.2011.10.022 · Cited by 179 · see citing works
Self-citationBeck, T., Hastings, R. K., Hesketh, S., Free, R. C., & Brookes, A. J. (2013) · European Journal of Human Genetics · doi:10.1038/ejhg.2013.274 · Cited by 166 · see citing works
Post-transcriptional control during chronic inflammation and cancer: a focus on AU-rich elements
Khabar, K. S. A. (2010) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-010-0383-x · Cited by 157 · see citing works
AUH, a gene encoding an AU-specific RNA binding protein with intrinsic enoyl-CoA hydratase activity.
Nakagawa, J., Waldner, H., Meyer‐Monard, S., Hofsteenge, J., Jenö, P., & Moroni, C. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.6.2051 · Cited by 132 · see citing works
Lehtonen, A., Veckman, V., Nikula, T., Lahesmaa, R., Kinnunen, L., Matikainen, S., & Julkunen, I. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.175.10.6570 · Cited by 112 · see citing works
Recent insights into cerebral cavernous malformations: a complex jigsaw puzzle under construction
Faurobert, E., & Albigès‐Rizo, C. (2010) · FEBS Journal · doi:10.1111/j.1742-4658.2009.07537.x · Cited by 101 · see citing works
Immunome: A reference set of genes and proteins for systems biology of the human immune system
Ortutay, C., & Vihinen, M. (2006) · Cellular Immunology · doi:10.1016/j.cellimm.2007.01.012 · Cited by 78 · see citing works
Plasma Filtration in Couette Flow Membrane Devices
Beaudoin, G., & Jaffrin, M. Y. (1989) · Artificial Organs · doi:10.1111/j.1525-1594.1989.tb02831.x · Cited by 76 · see citing works
Strategies to discover regulatory circuits of the mammalian immune system
Amit, I., Regev, A., & Hacohen, N. (2011) · Nature reviews. Immunology · doi:10.1038/nri3109 · Cited by 73 · see citing works
Self-citationThe receptor TREML4 amplifies TLR7-mediated signaling during antiviral responses and autoimmunity
Ramirez‐Ortiz, Z. G., Prasad, A., Griffith, J. W., Pendergraft, W. F., Cowley, G. S., Root, D. E., Tai, M., Luster, A. D., Khoury, J. B. E., Hacohen, N., et al. (2015) · Nature Immunology · doi:10.1038/ni.3143 · Cited by 71 · see citing works
Self-citationIRIS: A database surveying known human immune system genes
Kelley, J. M., de Bono, B., & Trowsdale, J. (2005) · Genomics · doi:10.1016/j.ygeno.2005.01.009 · Cited by 70 · see citing works
Sebastián, C., Serra, M., Yeramian, A., Serrat, N., Lloberas, J., & Celada, A. (2008) · The Journal of Immunology · doi:10.4049/jimmunol.180.9.5898 · Cited by 54 · see citing works
The DNA-binding factor Ctcf critically controls gene expression in macrophages
Nikolić, T., Movita, D., Lambers, M. E. H., de Almeida, C. R., Biesta, P. J., Kreefft, K., de Bruijn, M. J. W., Bergen, I. M., Galjart, N., Boonstra, A., et al. (2013) · Cellular and Molecular Immunology · doi:10.1038/cmi.2013.41 · Cited by 48 · see citing works
Yamashita, N., Shimazaki, N., Ibe, S., et al. (2001) · Genes to Cells · doi:10.1046/j.1365-2443.2001.00449.x · Cited by 32 · see citing works
ER stress induced impaired TLR signaling and macrophage differentiation of human monocytes
Komura, T., Sakai, Y., Honda, M., Takamura, T., Wada, T., & Kaneko, S. (2013) · Cellular Immunology · doi:10.1016/j.cellimm.2013.04.006 · Cited by 25 · see citing works
Boehringer, N., Hagens, G., Songeon, F., et al. (1999) · PubMed · Cited by 24 · see citing works
Regulation of dendritic cell differentiation and subset distribution by the zinc finger protein CTCF
Koesters, C., Unger, B., Bilić, I., et al. (2007) · Immunology Letters · doi:10.1016/j.imlet.2007.02.006 · Cited by 12 · see citing works
AU‐rich RNA‐binding induces changes in the quaternary structure of AUH
Kurimoto, K., Kuwasako, K., Sandercock, A. M., Unzai, S., Robinson, C. V., Muto, Y., & Yokoyama, S. (2008) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.22246 · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
Self-citationGenome-scale CRISPR-Cas9 Knockout and Transcriptional Activation Screening
Joung, J., Konermann, S., Gootenberg, J. S., Abudayyeh, O. O., Platt, R. J., Brigham, M. D., Sanjana, N. E., & Zhang, F. (2017) · Nature Protocols · doi:10.1038/nprot.2017.016 · Cited by 1,243 · see citing works
Self-citationDissecting 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 · see citing works
Rupp, L. J., Schumann, K., Roybal, K. T., Gate, R. E., Ye, C. J., Lim, W. A., & Marson, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-00462-8 · Cited by 757 · see citing works
Self-citationSystematic 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 · see citing works
Evaluation and Design of Genome-Wide CRISPR/SpCas9 Knockout Screens
Hart, T., Tong, A. H. Y., Chan, K., Van Leeuwen, J., Seetharaman, A., Aregger, M., Chandrashekhar, M., Hustedt, N., Seth, S., Noonan, A., et al. (2017) · G3 Genes|Genomes|Genetics · doi:10.1534/g3.117.041277 · Cited by 599 · see citing works
Genome-wide CRISPR Screens in Primary Human T Cells Reveal Key Regulators of Immune Function
Shifrut, E., Carnevale, J., Tobin, V., Roth, T. L., Woo, J. M., Bui, C. T., Li, P. J., Diolaiti, M. E., Ashworth, A., & Marson, A. (2018) · Cell · doi:10.1016/j.cell.2018.10.024 · Cited by 573 · see citing works
Induced Pluripotent Stem Cells Meet Genome Editing
Hockemeyer, D., & Jaenisch, R. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.04.013 · Cited by 499 · see citing works
“…loss-of-function screens, for example, to identify gene products that are required for drug resistance or to mediate viral cell death (Gilbert et al., 2014; Hart et al., 2015; Parnas et al., 2015; Shalem et al., 2014; Shi et al., 2015; Wang et al., 2015a; Wang et al., 2014a; Zhou et Cell Stem Cell.”
BackgroundBelk, J. A., Yao, W., Ly, N., Freitas, K. A., Chen, Y.-T., Shi, Q., Valencia, A. M., Shifrut, E., Kale, N., Yost, K. E., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.06.001 · Cited by 382 · see citing works
Optical Pooled Screens in Human Cells
Feldman, D., Singh, A., Schmid-Burgk, J. L., Carlson, R. J., Mezger, A., Garrity, A. J., Zhang, F., & Blainey, P. C. (2019) · Cell · doi:10.1016/j.cell.2019.09.016 · Cited by 321 · see citing works
Self-citationA new era in functional genomics screens
Przybyla, L., & Gilbert, L. A. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-021-00409-w · Cited by 281 · see citing works
The ADP/ATP translocase drives mitophagy independent of nucleotide exchange
Hoshino, A., Wang, W.-J., Wada, S., McDermott-Roe, C., Evans, C. S., Gosis, B., Morley, M. P., Rathi, K. S., Li, J., Li, K., et al. (2019) · Nature · doi:10.1038/s41586-019-1667-4 · Cited by 228 · see citing works
Identification of phagocytosis regulators using magnetic genome-wide CRISPR screens
Haney, M. S., Bohlen, C. J., Morgens, D. W., Ousey, J. A., Barkal, A. A., Tsui, C. K., Ego, B. K., Levin, R., Kamber, R. A., Collins, H., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0254-1 · Cited by 193 · see citing works
Rood, J. E., Hupalowska, A., & Regev, A. (2024) · Cell · doi:10.1016/j.cell.2024.07.035 · Cited by 139 · see citing works
Self-citationSingle-cell epigenomic variability reveals functional cancer heterogeneity
Litzenburger, U. M., Buenrostro, J. D., Wu, B., Shen, Y., Sheffield, N. C., Kathiria, A., Greenleaf, W. J., & Chang, H. Y. (2017) · Genome Biology · doi:10.1186/s13059-016-1133-7 · Cited by 115 · see citing works
Scalable genetic screening for regulatory circuits using compressed Perturb-seq
Yao, D., Binan, L., Bezney, J., Simonton, B., Freedman, J., Frangieh, C. J., Dey, K., Geiger-Schuller, K., Eraslan, B., Gusev, A., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01964-9 · Cited by 101 · see citing works
Self-citationSynthetic Lethal Vulnerabilities in <i>KRAS</i>-Mutant Cancers
Aguirre, A. J., & Hahn, W. C. (2018) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a031518 · Cited by 90 · see citing works
Guide Swap enables genome-scale pooled CRISPR-Cas9 screening in human primary cells
Ting, P. Y., Parker, A. E., Lee, J. S., Trussell, C., Sharif, O., Luna, F., Federe, G., Barnes, S. W., Walker, J. R., Vance, J., et al. (2018) · Nature Methods · doi:10.1038/s41592-018-0149-1 · Cited by 80 · see citing works
Surface antigen-guided CRISPR screens identify regulators of myeloid leukemia differentiation
Wang, E., Zhou, H., Nadorp, B., Cayanan, G., Chen, X., Yeaton, A. H., Nomikou, S., Witkowski, M. T., Narang, S., Kloetgen, A., et al. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2020.12.005 · Cited by 66 · see citing works
Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk
Reshef, Y. A., Finucane, H. K., Kelley, D. R., Gusev, A., Kotliar, D., Ulirsch, J. C., Hormozdiari, F., Nasser, J., O’Connor, L., van de Geijn, B., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0196-7 · Cited by 68 · see citing works
Multiplexed, image-based pooled screens in primary cells and tissues with PerturbView
Kudo, T., Meireles, A. M., Moncada, R., Chen, Y., Wu, P., Gould, J., Hu, X., Kornfeld, O., Jesudason, R., Foo, C., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02391-0 · Cited by 74 · see citing works
Self-citationPooled genetic perturbation screens with image-based phenotypes
Feldman, D., Funk, L., Le, A., Carlson, R. J., Leiken, M. D., Tsai, F., Soong, B., Singh, A., & Blainey, P. C. (2022) · Nature Protocols · doi:10.1038/s41596-021-00653-8 · Cited by 59 · see citing works
Genome engineering of stem cell organoids for disease modeling
Sun, Y., & Ding, Q. (2017) · Protein & Cell · doi:10.1007/s13238-016-0368-0 · Cited by 39 · see citing works
Cruz-Gordillo, P., Honeywell, M. E., Harper, N. W., Leete, T., & Lee, M. J. (2020) · Science Signaling · doi:10.1126/scisignal.abb9820 · Cited by 24 · see citing works
CRISP-view: a database of functional genetic screens spanning multiple phenotypes
Cui, Y., Cheng, X., Chen, Q., Song, B., Chiu, A., Gao, Y., Dawson, T., Chao, L., Zhang, W., Li, D., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa809 · Cited by 24 · see citing works
Lewis, M., Prouzet‐Mauléon, V., Lichou, F., Richard, E., Iggo, R., Turcq, B., & Mahon, F. (2020) · Cancer Medicine · doi:10.1002/cam4.3231 · Cited by 19 · see citing works
- Authors
- Parnas, O., Jovanovic, M., Eisenhaure, T. M., Herbst, R. H., Dixit, A., Ye, C. J., Przybylski, D., Platt, R. J., Tirosh, I., Sanjana, N. E., Shalem, O., Satija, R., Raychowdhury, R., Mertins, P., Carr, S. A., Zhang, F., Hacohen, N., & Regev, A.
- Affiliations
- Broad Institute (US)
- University of California, San Francisco (US)
- New York Genome Center (US)
- Corresponding author
- Hacohen, Nir
- Regev, Aviv
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 162
- Issue
- 3
- Pages
- 675-686
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4522370
- OpenAlex
- W2106296224
- Cited by
- 440
- References
- 71
- Citations by year
- 2026: 14 · 2025: 25 · 2024: 35 · 2023: 31 · 2022: 37 · 2021: 42 · 2020: 44 · 2019: 46 · 2018: 46 · 2017: 61 · 2016: 45 · 2015: 12 · 2013: 1
- FWCI
- 26.96
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- PMC
- Funders
- National Science Foundation (1122374, NCC 9-58)
- Howard Hughes Medical Institute
- National Aeronautics and Space Administration (1122374, NASA NCC 9‐58, NCC958)
- Damon Runyon Cancer Research Foundation
- National Space Biomedical Research Institute (NASA NCC 9‐58, NCC 9‐58)
- Broad Institute
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- National Institutes of Health (NCC9-58, K99-HG008171)
- FAS Center for Systems Biology, Harvard University
- Klarman Cell Observatory, Broad Institute
- Simons Center for the Social Brain, Massachusetts Institute of Technology
- National Institute of Mental Health (DP1MH100706, 5DP1-MH100706, R01MH110049)
- National Human Genome Research Institute (K99HG008171, P50HG006193, HG006193)
- National Institute of Diabetes and Digestive and Kidney Diseases (5R01-DK097768, R01DK097768, P30DK043351)
- National Center for Chronic Disease Prevention and Health Promotion (5DP1-MH100706)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Inflammasome and immune disorders
- Keywords
- CRISPR/Cas9 genome-wide screen, dendritic cells, TLR4 signaling, lipopolysaccharide, innate immunity, PAF complex, oligosaccharyltransferase, host-pathogen response, gene regulatory networks, primary immune cells
- MeSH terms
- Animals, Bone Marrow Cells, Cell Differentiation, Cell Survival, Dendritic Cells, Genetic Techniques, Hexosyltransferases, Immunity, Innate, Membrane Proteins, Mice, Transgenic, Tumor Necrosis Factor-alpha, Toll-Like Receptor 4, Mice, Gene Regulatory Networks, 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