CRISPR Approaches to Small Molecule Target Identification
Open accessAbstract
A long-standing challenge in drug development is the identification of the mechanisms of action of small molecules with therapeutic potential. A number of methods have been developed to address this challenge, each with inherent strengths and limitations. We here provide a brief review of these methods with a focus on chemical-genetic methods that are based on systematically profiling the effects of genetic perturbations on drug sensitivity. In particular, application of these methods to mammalian systems has been facilitated by the recent advent of CRISPR-based approaches, which enable one to readily repress, induce, or delete a given gene and determine the resulting effects on drug sensitivity.
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In human immortalized 2D cell lines, large-scale CRISPR-based genetic screens have yielded significant insights into normal and disease biology and serve as an unbiased method for investigating disease mechanisms and gene-drug interactions.
“In human immortalized 2D cell lines, large-scale CRISPR-based genetic screens have yielded significant insights into both normal and disease biology, serving as an unbiased method for investigating disease mechanisms and gene-drug interactions7,8.”
From Large-scale CRISPR screening in primary human 3D gastric organoids enables comprehensive dissection of gene-drug interactions (2025) · cites this paper as [8]
The ‘Functional genomics tools for chemical-genetic screens in human cells’ section describes genome-wide pooled CRISPR screens that identify genes required for growth and genetic dependencies of drugs. It does not specify immortalized 2D cell lines or establish the broader claim that these screens have yielded insights into both normal and disease biology. (LLM, conf=0.82)
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Cites
Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage
Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A., & Liu, D. R. (2016) · Nature · doi:10.1038/nature17946 · Cited by 5,437 · see citing works
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 · see citing works
Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016 · see citing works
Self-citationOptimized 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 · see citing works
CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696 · see citing works
Self-citationGenome-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 · see citing works
Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation
Gilbert, L. A., Horlbeck, M. A., Adamson, B., Villalta, J. E., Chen, Y., Whitehead, E. H., Guimaraes, C., Panning, B., Ploegh, H. L., Bassik, M. C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.029 · Cited by 2,728 · see citing works
Self-citationDixit, 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-citationHigh-throughput functional genomics using CRISPR-Cas9
Shalem, O., Sanjana, N. E., & Zhang, F. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3899 · Cited by 1,233 · see citing works
Adamson, B., Norman, T. M., Jost, M., Cho, M. Y., Nuñez, J. K., Chen, Y., Villalta, J. E., Gilbert, L. A., Horlbeck, M. A., Hein, M. Y., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.048 · Cited by 1,193 · see citing works
Self-citationTracking cancer drugs in living cells by thermal profiling of the proteome
Savitski, M. M., Reinhard, F. B. M., Franken, H., Werner, T., Savitski, M. F., Eberhard, D., Molina, D. M., Jafari, R., Dovega, R. B., Klaeger, S., et al. (2014) · Science · doi:10.1126/science.1255784 · Cited by 1,187 · see citing works
Pooled CRISPR screening with single-cell transcriptome readout.
Datlinger, P., Rendeiro, A. F., Schmidl, C., Krausgruber, T., Traxler, P., Klughammer, J., Schuster, L. C., Kuchler, A., Alpar, D., & Bock, C. (2017) · Nature Methods · doi:10.1038/nmeth.4177 · Cited by 1,096 · see citing works
Schuldiner, M., Collins, S. R., Thompson, N. J., Denic, V., Bhamidipati, A., Punna, T., Ihmels, J., Andrews, B., Boone, C., Greenblatt, J. F., et al. (2005) · Cell · doi:10.1016/j.cell.2005.08.031 · Cited by 870 · see citing works
Self-citationThe promise and peril of chemical probes
Arrowsmith, C. H., Audia, J. E., Austin, C., Baell, J., Bennett, J., Blagg, J., Bountra, C., Brennan, P. E., Brown, P. J., Bunnage, M. E., et al. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1867 · Cited by 839 · see citing works
Multidimensional Drug Profiling By Automated Microscopy
Perlman, Z. E., Slack, M. D., Feng, Y., Mitchison, T. J., Wu, L. F., & Altschuler, S. J. (2004) · Science · doi:10.1126/science.1100709 · Cited by 660 · see citing works
A public genome-scale lentiviral expression library of human ORFs
Yang, X., Boehm, J. S., Yang, X., Salehi-Ashtiani, K., Hao, T., Shen, Y., Lubonja, R., Thomas, S. R., Alkan, O., Bhimdi, T., et al. (2011) · Nature Methods · doi:10.1038/nmeth.1638 · Cited by 570 · see citing works
Ligand and Target Discovery by Fragment-Based Screening in Human Cells
Parker, C. G., Galmozzi, A., Wang, Y., Correia, B. E., Sasaki, K., Joslyn, C. M., Kim, A. S., Cavallaro, C. L., Lawrence, R. M., Johnson, S. R., et al. (2017) · Cell · doi:10.1016/j.cell.2016.12.029 · Cited by 439 · see citing works
Kampmann, M., Bassik, M. C., & Weissman, J. S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307002110 · Cited by 123 · see citing works
Self-citationCombining functional genomics and chemical biology to identify targets of bioactive compounds
Ho, C. H., Piotrowski, J., Dixon, S. J., Baryshnikova, A., Costanzo, M., & Boone, C. (2011) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2010.10.023 · Cited by 78 · see citing works
Flagged first, then by citations
Research works printed but not linked: 82
- [1]National Research Council 2011 Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease 22536618
- [3]Cong F Cheung AK Huang SA 2012 Chemical genetics-based target identification in drug discovery Annu Rev Pharmacol Toxicol 52 57 78 21819237
- [4]Schenone M Dančík V Wagner BK Clemons PA 2013 Target identification and mechanism of action in chemical biology and drug discovery Nat Chem Biol 9 232 240 23508189 PMC5543995
- [5]Nijman SMB 2015 Functional genomics to uncover drug mechanism of action Nat Chem Biol 11 942 948 26575241
- [6]Chan JNY Nislow C Emili A 2010 Recent advances and method development for drug target identification Trends Pharmacol Sci 31 82 88 20004028
- [7]Rix U Superti-Furga G 2009 Target profiling of small molecules by chemical proteomics Nat Chem Biol 5 616 624 19690537
- [8]Palchaudhuri R Hergenrother PJ 2011 Transcript profiling and RNA interference as tools to identify small molecule mechanisms and therapeutic potential ACS Chem Biol 6 21 33 21105689 PMC3121534
- [9]Carpenter AE 2007 Image-based chemical screening Nat Chem Biol 3 461 465 17637778
- [10]Smith AM Ammar R Nislow C Giaever G 2010 A survey of yeast genomic assays for drug and target discovery Pharmacol Ther 127 156 164 20546776 PMC2923554
- [12]Kampmann M 2017 Elucidating drug targets and mechanisms of action by genetic screens in mammalian cells Chem Commun (Camb) 53 7162 7167 28487920 PMC5507204
- [13]Hartwell LH Szankasi P Roberts CJ Murray AW Friend SH 1997 Integrating genetic approaches into the discovery of anticancer drugs Science 278 1064 1068 9353181
- [14]Rine J Hansen W Hardeman E Davis RW 1983 Targeted selection of recombinant clones through gene dosage effects Proc Natl Acad Sci U S A 80 6750 6754 6316322 PMC390063
- [15]Launhardt H Hinnen A Munder T 1998 Drug-induced phenotypes provide a tool for the functional analysis of yeast genes Yeast 14 935 942 9717239
- [16]Goffeau A Barrell BG Bussey H Davis RW Dujon B Feldmann H Galibert F Hoheisel JD Jacq C Johnston M Louis EJ Mewes HW Murakami Y Philippsen P Tettelin H Oliver SG 1996 Life with 6000 genes Science 274 567 8849441
- [17]Winzeler EA Shoemaker DD Astromoff A Liang H Anderson K Andre B Bangham R Benito R Boeke JD Bussey H Chu AM Connelly C Davis K Dietrich F Dow SW El Bakkoury M Foury F Friend SH Gentalen E Giaever G Hegemann JH Jones T Laub M Liao H Liebundguth N Lockhart DJ Lucau-Danila A Lussier M M’Rabet N Menard P Mittmann M Pai C Rebischung C Revuelta JL Riles L Roberts CJ Ross-MacDonald P Scherens B Snyder M Sookhai-Mahadeo S Storms RK Véronneau S Voet M Volckaert G Ward TR Wysocki R Yen GS Yu K Zimmermann K Philippsen P Johnston M Davis RW 1999 Functional characterization of the S. cerevisiae genome by gene deletion and parallel analysis Science 285 901 906 10436161
- [18]Giaever G Chu AM Ni L Connelly C Riles L Véronneau S Dow S Lucau-Danila A Anderson K André B Arkin AP Astromoff A El-Bakkoury M Bangham R Benito R Brachat S Campanaro S Curtiss M Davis K Deutschbauer A Entian K Flaherty P Foury F Garfinkel DJ Gerstein M Gotte D Güldener U Hegemann JH Hempel S Herman Z Jaramillo DF Kelly DE Kelly SL Kötter P LaBonte D Lamb DC Lan N Liang H Liao H Liu L Luo C Lussier M Mao R Menard P Ooi SL Revuelta JL Roberts CJ Rose M Ross-Macdonald P Scherens B Schimmack G Shafer B Shoemaker DD Sookhai-Mahadeo S Storms RK Strathern JN Valle G Voet M Volckaert G Wang C Ward TR Wilhelmy J Winzeler EA Yang Y Yen G Youngman E Yu K Bussey H Boeke JD Snyder M Philippsen P Davis RW Johnston M 2002 Functional profiling of the saccharomyces cerevisiae genome Nature 418 387 391 12140549
- [19]Giaever G Shoemaker DD Jones TW Liang H Winzeler EA Astromoff A Davis RW 1999 Genomic profiling of drug sensitivities via induced haploinsufficiency Nat Genet 21 278 283 10080179
- [20]Shoemaker DD Lashkari DA Morris D Mittmann M Davis RW 1996 Quantitative phenotypic analysis of yeast deletion mutants using a highly parallel molecular bar-coding strategy Nat Genet 14 450 456 8944025
- [21]Schena M Shalon D Davis RW Brown PO 1995 Quantitative monitoring of gene expression patterns with a complementary DNA microarray Science 270 467 470 7569999
- [22]Lockhart DJ Dong H Byrne MC Follettie MT Gallo MV Chee MS Mittmann M Wang C Kobayashi M Horton H Brown EL 1996 Expression monitoring by hybridization to high-density oligonucleotide arrays Nat Biotechnol 14 1675 1680 9634850
- [23]Lum PY Armour CD Stepaniants SB Cavet G Wolf MK Butler JS Hinshaw JC Garnier P Prestwich GD Leonardson A Garrett-Engele P Rush CM Bard M Schimmack G Phillips JW Roberts CJ Shoemaker DD 2004 Discovering modes of action for therapeutic compounds using a genome-wide screen of yeast heterozygotes Cell 116 121 137 14718172
- [24]Giaever G Flaherty P Kumm J Proctor M Nislow C Jaramillo DF Chu AM Jordan MI Arkin AP Davis RW 2004 Chemogenomic profiling: Identifying the functional interactions of small molecules in yeast Proc Natl Acad Sci U S A 101 793 798 14718668 PMC321760
- [25]Baetz K McHardy L Gable K Tarling T Rebérioux D Bryan J Andersen RJ Dunn T Hieter P Roberge M 2004 Yeast genome-wide drug-induced haploinsufficiency screen to determine drug mode of action Proc Natl Acad Sci U S A 101 4525 4530 15070751 PMC384780
- [27]van Pel DM Stirling PC Minaker SW Sipahimalani P Hieter P 2013 Saccharomyces cerevisiae genetics predicts candidate therapeutic genetic interactions at the mammalian replication fork G3 (Bethesda) 3 273 282 23390603 PMC3564987
- [28]Breslow DK Cameron DM Collins SR Schuldiner M Stewart-Ornstein J Newman HW Braun S Madhani HD Krogan NJ Weissman JS 2008 A comprehensive strategy enabling high-resolution functional analysis of the yeast genome Nat Methods 5 711 718 18622397 PMC2756093
- [29]Yan Z Costanzo M Heisler LE Paw J Kaper F Andrews BJ Boone C Giaever G Nislow C 2008 Yeast barcoders: A chemogenomic application of a universal donor-strain collection carrying bar-code identifiers Nat Methods 5 719 725 18622398
- [30]Parsons AB Brost RL Ding H Li Z Zhang C Sheikh B Brown GW Kane PM Hughes TR Boone C 2004 Integration of chemical-genetic and genetic interaction data links bioactive compounds to cellular target pathways Nat Biotechnol 22 62 69 14661025
- [31]Lee W St Onge RP Proctor M Flaherty P Jordan MI Arkin AP Davis RW Nislow C Giaever G 2005 Genome-wide requirements for resistance to functionally distinct DNA-damaging agents PLoS Genet 1 e24 16121259 PMC1189734
- [32]Parsons AB Lopez A Givoni IE Williams DE Gray CA Porter J Chua G Sopko R Brost RL Ho C Wang J Ketela T Brenner C Brill JA Fernandez GE Lorenz TC Payne GS Ishihara S Ohya Y Andrews B Hughes TR Frey BJ Graham TR Andersen RJ Boone C 2006 Exploring the mode-of-action of bioactive compounds by chemical-genetic profiling in yeast Cell 126 611 625 16901791
- [33]Lee AY St Onge RP Proctor MJ Wallace IM Nile AH Spagnuolo PA Jitkova Y Gronda M Wu Y Kim MK Cheung-Ong K Torres NP Spear ED Han MKL Schlecht U Suresh S Duby G Heisler LE Surendra A Fung E Urbanus ML Gebbia M Lissina E Miranda M Chiang JH Aparicio AM Zeghouf M Davis RW Cherfils J Boutry M Kaiser CA Cummins CL Trimble WS Brown GW Schimmer AD Bankaitis VA Nislow C Bader GD Giaever G 2014 Mapping the cellular response to small molecules using chemogenomic fitness signatures Science 344 208 211 24723613 PMC4254748
- [34]Luesch H Wu TYH Ren P Gray NS Schultz PG Supek F 2005 A genome-wide overexpression screen in yeast for small-molecule target identification Chem Biol 12 55 63 15664515
- [35]Butcher RA Bhullar BS Perlstein EO Marsischky G LaBaer J Schreiber SL 2006 Microarray-based method for monitoring yeast overexpression strains reveals small-molecule targets in TOR pathway Nat Chem Biol 2 103 109 16415861
- [36]Hoon S Smith AM Wallace IM Suresh S Miranda M Fung E Proctor M Shokat KM Zhang C Davis RW Giaever G St Onge RP StOnge RP Nislow C 2008 An integrated platform of genomic assays reveals small-molecule bioactivities Nat Chem Biol 4 498 506 18622389
- [37]Hannon GJ 2002 RNA interference Nature 418 418244a 12110901
- [38]Mohr SE Smith JA Shamu CE Neumüller RA Perrimon N 2014 RNAi screening comes of age: Improved techniques and complementary approaches Nat Rev Mol Cell Biol 15 591 600 25145850 PMC4204798
- [40]Wright AV Nuñez JK Doudna JA 2016 Biology and applications of CRISPR systems: Harnessing nature’s toolbox for genome engineering Cell 164 29 44 26771484
- [41]Wang H La Russa M Qi LS 2016 CRISPR/Cas9 in genome editing and beyond Annu Rev Biochem 85 227 264 27145843 PMC13384723
- [42]Jinek M Chylinski K Fonfara I Hauer M Doudna JA Charpentier E 2012 A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity Science 337 816 821 22745249 PMC6286148
- [44]Brummelkamp TR Fabius AWM Mullenders J Madiredjo M Velds A Kerkhoven RM Bernards R Beijersbergen RL 2006 An shRNA barcode screen provides insight into cancer cell vulnerability to MDM2 inhibitors Nat Chem Biol 2 202 206 16474381
- [45]Luo B Cheung HW Subramanian A Sharifnia T Okamoto M Yang X Hinkle G Boehm JS Beroukhim R Weir BA Mermel C Barbie DA Awad T Zhou X Nguyen T Piqani B Li C Golub TR Meyerson M Hacohen N Hahn WC Lander ES Sabatini DM Root DE 2008 Highly parallel identification of essential genes in cancer cells Proc Natl Acad Sci U S A 105 20380 20385 19091943 PMC2629277
- [46]Burgess DJ Doles J Zender L Xue W Ma B McCombie WR Hannon GJ Lowe SW Hemann MT 2008 Topoisomerase levels determine chemotherapy response in vitro and in vivo Proc Natl Acad Sci U S A 105 9053 9058 18574145 PMC2435590
- [47]Matheny CJ Wei MC Bassik MC Donnelly AJ Kampmann M Iwasaki M Piloto O Solow-Cordero DE Bouley DM Rau R Brown P McManus MT Weissman JS Cleary ML 2013 Next-generation NAMPT inhibitors identified by sequential high-throughput phenotypic chemical and functional genomic screens Chem Biol 20 1352 1363 24183972 PMC3881547
- [48]Sidrauski C Acosta-Alvear D Khoutorsky A Vedantham P Hearn BR Li H Gamache K Gallagher CM Ang KK Wilson C Okreglak V Ashkenazi A Hann B Nader K Arkin MR Renslo AR Sonenberg N Walter P 2013 Pharmacological brake-release of mRNA translation enhances cognitive memory Elife 2 e00498 23741617 PMC3667625
- [49]Sidrauski C Tsai JC Kampmann M Hearn BR Vedantham P Jaishankar P Sokabe M Mendez AS Newton BW Tang EL Verschueren E Johnson JR Krogan NJ Fraser CS Weissman JS Renslo AR Walter P 2015 Pharmacological dimerization and activation of the exchange factor eIF2B antagonizes the integrated stress response Elife 4 e07314 25875391 PMC4426669
- [50]Sekine Y Zyryanova A Crespillo-Casado A Fischer PM Harding HP Ron D 2015 Stress responses. mutations in a translation initiation factor identify the target of a memory-enhancing compound Science 348 1027 1030 25858979 PMC4538794
- [51]Kaelin WG 2012 Molecular biology. use and abuse of RNAi to study mammalian gene function Science 337 421 422 22837515 PMC3705935
- [53]Kampmann M 2017 CRISPRi and CRISPRa screens in mammalian cells for precision biology and medicine ACS Chem Biol PMC5886776 29035510
- [54]Wang T Wei JJ Sabatini DM Lander ES 2014 Genetic screens in human cells using the CRISPR-Cas9 system Science 343 80 84 24336569 PMC3972032
- [56]Deans RM Morgens DW Ökesli A Pillay S Horlbeck MA Kampmann M Gilbert LA Li A Mateo R Smith M Glenn JS Carette JE Khosla C Bassik MC 2016 Parallel shRNA and CRISPR-Cas9 screens enable antiviral drug target identification Nat Chem Biol 12 361 366 27018887 PMC4836973
- [60]Horlbeck MA Gilbert LA Villalta JE Adamson B Pak RA Chen Y Fields AP Park CY Corn JE Kampmann M 2016 Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation eLife 5 e19760 27661255 PMC5094855
- [61]Rosenbluh J Xu H Harrington W Gill S Wang X Vazquez F Root DE Tsherniak A Hahn WC 2017 Complementary information derived from CRISPR Cas9 mediated gene deletion and suppression Nat Commun 8 15403 28534478 PMC5457492
- [62]Jost M Chen Y Gilbert LA Horlbeck MA Krenning L Menchon G Rai A Cho MY Stern JJ Prota AE Kampmann M Akhmanova A Steinmetz MO Tanenbaum ME Weissman JS 2017 Combined CRISPRi/a-based chemical genetic screens reveal that rigosertib is a microtubule-destabilizing agent Mol Cell 68 223e6 PMC5640507 28985505
- [63]Chavez A Tuttle M Pruitt BW Ewen-Campen B Chari R Ter-Ovanesyan D Haque SJ Cecchi RJ Kowal EJK Buchthal J Housden BE Perrimon N Collins JJ Church G 2016 Comparison of Cas9 activators in multiple species Nat Methods 13 563 567 27214048 PMC4927356
- [64]Tanenbaum ME Gilbert LA Qi LS Weissman JS Vale RD 2014 A protein-tagging system for signal amplification in gene expression and fluorescence imaging Cell 159 635 646 25307933 PMC4252608
- [66]Chavez A Scheiman J Vora S Pruitt BW Tuttle M Iyer PRE Lin S Kiani S Guzman CD Wiegand DJ Ter-Ovanesyan D Braff JL Davidsohn N Housden BE Perrimon N Weiss R Aach J Collins JJ Church GM 2015 Highly efficient Cas9-mediated transcriptional programming Nat Methods 12 326 328 25730490 PMC4393883
- [67]Chakraborty S Ji H Kabadi AM Gersbach CA Christoforou N Leong KW 2014 A CRISPR/Cas9-based system for reprogramming cell lineage specification Stem Cell Reports 3 940 947 25448066 PMC4264059
- [69]Tzelepis K Koike-Yusa H De Braekeleer E Li Y Metzakopian E Dovey OM Mupo A Grinkevich V Li M Mazan M Gozdecka M Ohnishi S Cooper J Patel M McKerrell T Chen B Domingues AF Gallipoli P Teichmann S Ponstingl H McDermott U Saez-Rodriguez J Huntly BJP Iorio F Pina C Vassiliou GS Yusa K 2016 A CRISPR dropout screen identifies genetic vulnerabilities and therapeutic targets in acute myeloid leukemia Cell Rep 17 1193 1205 27760321 PMC5081405
- [70]Anderson DJ Le Moigne R Djakovic S Kumar B Rice J Wong S Wang J Yao B Valle E Kiss von Soly S Madriaga A Soriano F Menon M Wu ZY Kampmann M Chen Y Weissman JS Aftab BT Yakes FM Shawver L Zhou H Wustrow D Rolfe M 2015 Targeting the AAA ATPase p97 as an approach to treat cancer through disruption of protein homeostasis Cancer Cell 28 653 665 26555175 PMC4941640
- [71]Reddy MVR Venkatapuram P Mallireddigari MR Pallela VR Cosenza SC Robell KA Akula B Hoffman BS Reddy EP 2011 Discovery of a clinical stage multi-kinase inhibitor sodium (E)-2-{2-methoxy-5-[(2′,4′,6′-trimethoxystyrylsulfonyl)methyl]phenylamino}acetate (ON 01910. na): Synthesis, structure-activity relationship, and biological activity J Med Chem 54 6254 6276 21812421 PMC4503467
- [72]Athuluri-Divakar SK Vasquez-Del Carpio R Dutta K Baker SJ Cosenza SC Basu I Gupta YK Reddy MVR Ueno L Hart JR Vogt PK Mulholland D Guha C Aggarwal AK Reddy EP 2016 A small molecule RAS-mimetic disrupts RAS association with effector proteins to block signaling Cell 165 643 655 27104980 PMC5006944
- [73]Ritt DA Abreu-Blanco MT Bindu L Durrant DE Zhou M Specht SI Stephen AG Holderfield M Morrison DK 2016 Inhibition of ras/raf/MEK/ERK pathway signaling by a stress-induced phospho-regulatory circuit Mol Cell 64 875 887 27889448 PMC5135640
- [74]Cuatrecasas P Wilchek M Anfinsen CB 1968 Selective enzyme purification by affinity chromatography Proc Natl Acad Sci U S A 61 636 643 4971842 PMC225207
- [75]Harding MW Galat A Uehling DE Schreiber SL 1989 A receptor for the immunosuppressant FK506 is a cis-trans peptidyl-prolyl isomerase Nature 341 758 760 2477715
- [76]Handschumacher RE Harding MW Rice J Drugge RJ Speicher DW 1984 Cyclophilin: A specific cytosolic binding protein for cyclosporin A Science 226 544 547 6238408
- [78]Martinez Molina D Jafari R Ignatushchenko M Seki T Larsson EA Dan C Sreekumar L Cao Y Nordlund P 2013 Monitoring drug target engagement in cells and tissues using the cellular thermal shift assay Science 341 84 87 23828940
- [80]Paull KD Shoemaker RH Hodes L Monks A Scudiero DA Rubinstein L Plowman J Boyd MR 1989 Display and analysis of patterns of differential activity of drugs against human tumor cell lines: Development of mean graph and COMPARE algorithm J Natl Cancer Inst 81 1088 1092 2738938
- [81]Shoemaker RH 2006 The NCI60 human tumour cell line anticancer drug screen Nat Rev Cancer 6 813 823 16990858
- [82]Jiang H Pritchard JR Williams RT Lauffenburger DA Hemann MT 2011 A mammalian functional-genetic approach to characterizing cancer therapeutics Nat Chem Biol 7 92 100 21186347 PMC3070540
- [83]Marton MJ DeRisi JL Bennett HA Iyer VR Meyer MR Roberts CJ Stoughton R Burchard J Slade D Dai H Bassett DE Hartwell LH Brown PO Friend SH 1998 Drug target validation and identification of secondary drug target effects using DNA microarrays Nat Med 4 1293 1301 9809554
- [84]Hughes TR Marton MJ Jones AR Roberts CJ Stoughton R Armour CD Bennett HA Coffey E Dai H He YD Kidd MJ King AM Meyer MR Slade D Lum PY Stepaniants SB Shoemaker DD Gachotte D Chakraburtty K Simon J Bard M Friend SH 2000 Functional discovery via a compendium of expression profiles Cell 102 109 126 10929718
- [85]Lamb J Crawford ED Peck D Modell JW Blat IC Wrobel MJ Lerner J Brunet J Subramanian A Ross KN Reich M Hieronymus H Wei G Armstrong SA Haggarty SJ Clemons PA Wei R Carr SA Lander ES Golub TR 2006 The connectivity map: Using gene-expression signatures to connect small molecules, genes, and disease Science 313 1929 1935 17008526
- [88]Jaitin DA Weiner A Yofe I Lara-Astiaso D Keren-Shaul H David E Salame TM Tanay A van Oudenaarden A Amit I 2016 Dissecting immune circuits by linking CRISPR-pooled screens with single-cell RNA-seq Cell 167 1896e15 27984734
- [90]Rees MG Seashore-Ludlow B Cheah JH Adams DJ Price EV Gill S Javaid S Coletti ME Jones VL Bodycombe NE Soule CK Alexander B Li A Montgomery P Kotz JD Hon CS Munoz B Liefeld T Dančík V Haber DA Clish CB Bittker JA Palmer M Wagner BK Clemons PA Shamji AF Schreiber SL 2016 Correlating chemical sensitivity and basal gene expression reveals mechanism of action Nat Chem Biol 12 109 116 26656090 PMC4718762
- [92]Heitman J Movva NR Hall MN 1991 Targets for cell cycle arrest by the immunosuppressant rapamycin in yeast Science 253 905 909 1715094
- [93]Wacker SA Houghtaling BR Elemento O Kapoor TM 2012 Using transcriptome sequencing to identify mechanisms of drug action and resistance Nat Chem Biol 8 235 237 22327403 PMC3281560
- [94]Kasap C Elemento O Kapoor TM 2014 DrugTargetSeqR: A genomics- and CRISPR-Cas9-based method to analyze drug targets Nat Chem Biol 10 626 628 24929528 PMC4123312
- [95]Smurnyy Y Cai M Wu H McWhinnie E Tallarico JA Yang Y Feng Y 2014 DNA sequencing and CRISPR-Cas9 gene editing for target validation in mammalian cells Nat Chem Biol 10 623 625 24929529
- [97]Hess GT Tycko J Yao D Bassik MC 2017 Methods and applications of CRISPR-mediated base editing in eukaryotic genomes Mol Cell 68 26 43 28985508 PMC5997582
- [98]Findlay GM Boyle EA Hause RJ Klein JC Shendure J 2014 Saturation editing of genomic regions by multiplex homology-directed repair Nature 513 120 123 25141179 PMC4156553
- [99]Nichols RJ Sen S Choo YJ Beltrao P Zietek M Chaba R Lee S Kazmierczak KM Lee KJ Wong A Shales M Lovett S Winkler ME Krogan NJ Typas A Gross CA 2011 Phenotypic landscape of a bacterial cell Cell 144 143 156 21185072 PMC3060659
- [100]Peters JM Colavin A Shi H Czarny TL Larson MH Wong S Hawkins JS Lu CHS Koo B Marta E Shiver AL Whitehead EH Weissman JS Brown ED Qi LS Huang KC Gross CA 2016 A comprehensive, CRISPR-based functional analysis of essential genes in bacteria Cell 165 1493 1506 27238023 PMC4894308
- [101]Nonejuie P Burkart M Pogliano K Pogliano J 2013 Bacterial cytological profiling rapidly identifies the cellular pathways targeted by antibacterial molecules Proc Natl Acad Sci U S A 110 16169 16174 24046367 PMC3791758
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Mapping the Genetic Landscape of Human Cells
Horlbeck, M. A., Xu, A., Wang, M., Bennett, N. K., Park, C. Y., Bogdanoff, D., Adamson, B., Chow, E. D., Kampmann, M., Peterson, T. R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.010 · Cited by 319 · 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
IFITM proteins assist cellular uptake of diverse linked chemotypes
Lou, K., Wassarman, D. R., Yang, T., Paung, Y., Zhang, Z., O’Loughlin, T. A., Moore, M. K., Egan, R. K., Greninger, P., Benes, C. H., et al. (2022) · Science · doi:10.1126/science.abl5829 · Cited by 42 · see citing works
Lo, Y.-H., Horn, H. T., Huang, M.-F., Yu, W.-C., Young, C.-M., Liu, Q., Tomaske, M., Towers, M., Dominguez, A., Bassik, M. C., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62818-3 · Cited by 37 · see citing works
“In contrast, only a few genes showed increased sgRNA abundance, indicating a growth advantage phenotype upon knockout (Supplementary Data 2).”
InfluentialSelf-citation
- Authors
- Jost, M., & Weissman, J. S.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Jost, Marco
- Weissman, Jonathan S.
- Venue
- ACS Chemical Biology
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-01-25
- Volume
- 13
- Issue
- 2
- Pages
- 366-375
- ISSN
- 1554-8929 (ISSN-L)
- 1554-8937
- PMC
- PMC5834945
- OpenAlex
- W2780930919
- Cited by
- 88
- References
- 19
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 12 · 2023: 7 · 2022: 20 · 2021: 12 · 2020: 14 · 2019: 5 · 2018: 6
- FWCI
- 0.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- ACS Chemical Biology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- U.S. Department of Health and Human Services (U01 CA168370, R01 DA036858, F32 GM116331, P50 GM102706)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Keywords
- CRISPR, small molecule target identification, mechanism of action, chemical genetics, drug sensitivity profiling, gene perturbation, gene repression, gene induction, gene deletion, drug development
- MeSH terms
- Gene Editing, Animals, Humans, Saccharomyces cerevisiae, Clinical Laboratory Techniques, Genomics, Drug Discovery, CRISPR-Cas Systems, CRISPR-Associated Proteins
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.
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