Cited by 222CRISPR and Genetic EngineeringChromatin Remodeling and CancerCancer Genomics and Diagnostics

Pooled In Vitro and In Vivo CRISPR-Cas9 Screening Identifies Tumor Suppressors in Human Colon Organoids

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Michels, Birgitta E., Mosa, Mohammed H., Streibl, Barbara I., Zhan, Tianzuo, Menche, Constantin, Abou-El-Ardat, Khalil, Darvishi, Tahmineh, Członka, Ewelina +5 more·2020·Cell Stem Cell

Abstract

Colorectal cancer (CRC) is characterized by prominent genetic and phenotypic heterogeneity between patients. To facilitate high-throughput genetic testing and functional identification of tumor drivers, we developed a platform for pooled CRISPR-Cas9 screening in human colon organoids. Using transforming growth factor β (TGF-β) resistance as a paradigm to establish sensitivity and scalability in vitro, we identified optimal conditions and strict guide RNA (gRNA) requirements for screening in 3D organoids. We then screened a pan-cancer tumor suppressor gene (TSG) library in pre-malignant organoids with APC-/-;KRAS G12D mutations, which were xenografted to study clonal advantages in context of a complex tumor microenvironment. We identified TGFBR2 as the most prevalent TSG, followed by known and previously uncharacterized mediators of CRC growth. gRNAs were validated in a secondary screen using unique molecular identifiers (UMIs) to adjust for clonal drift and to distinguish clone size and abundance. Together, these findings highlight a powerful organoid-based platform for pooled CRISPR-Cas9 screening for patient-specific functional genomics.

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  • CRISPR cutting screens in 3D organoids have been implemented to explore factors such as growth factor dependency for cell growth, identify potential cancer-driving forces, and uncover key genetic events in cell differentiation.

    “Even more exciting is the implementation of CRISPR cutting screens in 3D organoids to explore factors such as growth factor dependency for cell growth14–16, identifying potential cancer-driving forces17–19, and uncovering key genetic events in cell differentiation20–22.”
  • CRISPR screening combined with organoids has revealed power for discovering new gene functions.

    “Recent studies combining CRISPR screening technology with organoids have revealed the power of such strategies for discovering new gene functions12,13.”

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References 53 · Cited by 222

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  1. [2]2. Berger, A.H. ∙ Knudson, A.G. ∙ Pandolfi, P.P. A continuum model for tumour suppression Nature. 2011; 476:163-169 Crossref Scopus (393) PubMed Google Scholar
  2. [3]3. Chen, S. ∙ Sanjana, N.E. ∙ Zheng, K. ... Genome-wide CRISPR screen in a mouse model of tumor growth and metastasis Cell. 2015; 160:1246-1260 Full Text Full Text (PDF) Scopus (642) PubMed Google Scholar
  3. [4]4. Davoli, T. ∙ Xu, A.W. ∙ Mengwasser, K.E. ... Cumulative haploinsufficiency and triplosensitivity drive aneuploidy patterns and shape the cancer genome Cell. 2013; 155:948-962 Full Text Full Text (PDF) Scopus (552) PubMed Google Scholar
  4. [6]6. Drost, J. ∙ van Jaarsveld, R.H. ∙ Ponsioen, B. ... Sequential cancer mutations in cultured human intestinal stem cells Nature. 2015; 521:43-47 Crossref Scopus (772) PubMed Google Scholar
  5. [7]7. Evers, B. ∙ Jastrzebski, K. ∙ Heijmans, J.P.M. ... CRISPR knockout screening outperforms shRNA and CRISPRi in identifying essential genes Nat. Biotechnol. 2016; 34:631-633 Crossref Scopus (280) PubMed Google Scholar
  6. [9]9. Fujii, M. ∙ Shimokawa, M. ∙ Date, S. ... A colorectal tumor organoid library demonstrates progressive loss of niche factor requirements during tumorigenesis Cell Stem Cell. 2016; 18:827-838 Full Text Full Text (PDF) Scopus (564) PubMed Google Scholar
  7. [11]11. Haapaniemi, E. ∙ Botla, S. ∙ Persson, J. ... CRISPR-Cas9 genome editing induces a p53-mediated DNA damage response Nat. Med. 2018; 24:927-930 Crossref Scopus (765) PubMed Google Scholar
  8. [12]12. Hart, T. ∙ Chandrashekhar, M. ∙ Aregger, M. ... High-resolution CRISPR screens reveal fitness genes and genotype-specific cancer liabilities Cell. 2015; 163:1515-1526 Full Text Full Text (PDF) Scopus (1012) PubMed Google Scholar
  9. [13]13. Heigwer, F. ∙ Kerr, G. ∙ Boutros, M. E-CRISP: fast CRISPR target site identification Nat. Methods. 2014; 11:122-123 Crossref Scopus (619) PubMed Google Scholar
  10. [14]14. Heigwer, F. ∙ Zhan, T. ∙ Breinig, M. ... CRISPR library designer (CLD): software for multispecies design of single guide RNA libraries Genome Biol. 2016; 17:55 Crossref Scopus (53) PubMed Google Scholar
  11. [15]15. Hsiau, T. ∙ Maures, T. ∙ Waite, K. ... Inference of CRISPR edits from Sanger trace data bioRxiv. 2018; Crossref Scopus (0) Google Scholar
  12. [17]17. Ihry, R.J. ∙ Worringer, K.A. ∙ Salick, M.R. ... p53 inhibits CRISPR-Cas9 engineering in human pluripotent stem cells Nat. Med. 2018; 24:939-946 Crossref Scopus (645) PubMed Google Scholar
  13. [18]18. Jung, B. ∙ Staudacher, J.J. ∙ Beauchamp, D. Transforming growth factor β superfamily signaling in development of colorectal cancer Gastroenterology. 2017; 152:36-52 Full Text Full Text (PDF) Scopus (179) PubMed Google Scholar
  14. [22]22. Li, M. ∙ Yu, J.S.L. ∙ Tilgner, K. ... Genome-wide CRISPR-KO screen uncovers mTORC1-mediated Gsk3 regulation in naive pluripotency maintenance and dissolution Cell Rep. 2018; 24:489-502 Full Text Full Text (PDF) Scopus (56) PubMed Google Scholar
  15. [23]23. Liu, H. ∙ Wei, Z. ∙ Dominguez, A. ... CRISPR-ERA: a comprehensive design tool for CRISPR-mediated gene editing, repression and activation Bioinformatics. 2015; 31:3676-3678 Crossref Scopus (147) PubMed Google Scholar
  16. [24]24. Mali, P. ∙ Yang, L. ∙ Esvelt, K.M. ... RNA-guided human genome engineering via Cas9 Science. 2013; 339:823-826 Crossref Scopus (7155) PubMed Google Scholar
  17. [25]25. Matano, M. ∙ Date, S. ∙ Shimokawa, M. ... Modeling colorectal cancer using CRISPR-Cas9-mediated engineering of human intestinal organoids Nat. Med. 2015; 21:256-262 Crossref Scopus (826) PubMed Google Scholar
  18. [26]26. Michlits, G. ∙ Hubmann, M. ∙ Wu, S.-H. ... CRISPR-UMI: single-cell lineage tracing of pooled CRISPR-Cas9 screens Nat. Methods. 2017; 14:1191-1197 Crossref Scopus (76) PubMed Google Scholar
  19. [29]29. Roerink, S.F. ∙ Sasaki, N. ∙ Lee-Six, H. ... Intra-tumour diversification in colorectal cancer at the single-cell level Nature. 2018; 556:457-462 Crossref Scopus (352) PubMed Google Scholar
  20. [30]30. Sanjana, N.E. ∙ Shalem, O. ∙ Zhang, F. Improved vectors and genome-wide libraries for CRISPR screening Nat. Methods. 2014; 11:783-784 Crossref Scopus (3244) PubMed Google Scholar
  21. [32]32. Schneider, G. ∙ Schmidt-Supprian, M. ∙ Rad, R. ... Tissue-specific tumorigenesis: context matters Nat. Rev. Cancer. 2017; 17:239-253 Crossref Scopus (209) PubMed Google Scholar
  22. [33]33. Schwank, G. ∙ Andersson-Rolf, A. ∙ Koo, B.-K. ... Generation of BAC transgenic epithelial organoids PLoS ONE. 2013; 8:e76871 Crossref Scopus (65) PubMed Google Scholar
  23. [36]36. Senturk, S. ∙ Mumcuoglu, M. ∙ Gursoy-Yuzugullu, O. ... Transforming growth factor-beta induces senescence in hepatocellular carcinoma cells and inhibits tumor growth Hepatology. 2010; 52:966-974 Crossref Scopus (181) PubMed Google Scholar
  24. [38]38. Shen, M.W. ∙ Arbab, M. ∙ Hsu, J.Y. ... Predictable and precise template-free CRISPR editing of pathogenic variants Nature. 2018; 563:646-651 Crossref Scopus (326) PubMed Google Scholar
  25. [39]39. Siegel, R.L. ∙ Miller, K.D. ∙ Jemal, A. Cancer statistics, 2018 CA Cancer J. Clin. 2018; 68:7-30 Crossref Scopus (7388) PubMed Google Scholar
  26. [40]40. Song, C.-Q. ∙ Li, Y. ∙ Mou, H. ... Genome-wide CRISPR screen identifies regulators of mitogen-activated protein kinase as suppressors of liver tumors in mice Gastroenterology. 2017; 152:1161-1173.e1 Full Text Full Text (PDF) Scopus (92) PubMed Google Scholar
  27. [41]41. Sottoriva, A. ∙ Kang, H. ∙ Ma, Z. ... A Big Bang model of human colorectal tumor growth Nat. Genet. 2015; 47:209-216 Crossref Scopus (718) PubMed Google Scholar
  28. [42]42. Stewart, S.A. ∙ Dykxhoorn, D.M. ∙ Palliser, D. ... Lentivirus-delivered stable gene silencing by RNAi in primary cells RNA. 2003; 9:493-501 Crossref Scopus (1119) PubMed Google Scholar
  29. [43]43. Tzelepis, K. ∙ Koike-Yusa, H. ∙ De Braekeleer, E. ... A CRISPR dropout screen identifies genetic vulnerabilities and therapeutic targets in acute myeloid leukemia Cell Rep. 2016; 17:1193-1205 Full Text Full Text (PDF) Scopus (413) PubMed Google Scholar
  30. [46]46. Wang, T. ∙ Wei, J.J. ∙ Sabatini, D.M. ... Genetic screens in human cells using the CRISPR-Cas9 system Science. 2014; 343:80-84 Crossref Scopus (2086) PubMed Google Scholar
  31. [48]48. Wang, T. ∙ Yu, H. ∙ Hughes, N.W. ... Gene essentiality profiling reveals gene networks and synthetic lethal interactions with oncogenic Ras Cell. 2017; 168:890-903.e15 Full Text Full Text (PDF) Scopus (425) PubMed Google Scholar
  32. [49]49. Winter, J. ∙ Breinig, M. ∙ Heigwer, F. ... caRpools: an R package for exploratory data analysis and documentation of pooled CRISPR/Cas9 screens Bioinformatics. 2016; 32:632-634 Crossref Scopus (43) PubMed Google Scholar
  33. [50]50. Xia, P. ∙ Zhang, X. ∙ Xie, Y. ... Functional toxicogenomic assessment of triclosan in human HepG2 cells using genome-wide CRISPR-Cas9 screening Environ. Sci. Technol. 2016; 50:10682-10692 Crossref Scopus (45) PubMed Google Scholar
  34. [51]51. Xu, H. ∙ Xiao, T. ∙ Chen, C.-H. ... Sequence determinants of improved CRISPR sgRNA design Genome Res. 2015; 25:1147-1157 Crossref Scopus (421) PubMed Google Scholar

Authors
Michels, B. E., Mosa, M. H., Streibl, B. I., Zhan, T., Menche, C., Abou-El-Ardat, K., Darvishi, T., Członka, E., Wagner, S., Winter, J., Medyouf, H., Boutros, M., & Farin, H. F.
Affiliations
  • Goethe University Frankfurt (DE)
  • German Cancer Research Center (DE)
Corresponding author
Farin, Henner F.
Venue
Cell Stem Cell
Publisher
Elsevier BV
Published
2020-05
Volume
26
Issue
5
Pages
782-792.e7
ISSN
  • 1875-9777 (ISSN-L)
  • 1934-5909
OpenAlex
W3020093160
Cited by
222
References
53
Citations by year
2026: 26 · 2025: 41 · 2024: 37 · 2023: 33 · 2022: 33 · 2021: 38 · 2020: 14
FWCI
9.45
Type
journal article
Language
en
Open access
Locations
  • Cell stem cell (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Deutsche Forschungsgemeinschaft
  • Hessisches Ministerium für Wissenschaft und Kunst (III L 5-519/03/03.001-(0015))
  • José Carreras Leukämie-Stiftung (DJCLS 04FN/2018)
  • Five Colleges
  • Deutsche Krebshilfe (70112869)
  • Deutschen Konsortium für Translationale Krebsforschung (SPP 2084)
  • European Research Council (639795)
  • Verband der Chemischen Industrie
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
colorectal cancer, colon organoids, CRISPR-Cas9 screen, tumor suppressor, TGFBR2, TGF-beta resistance, APC, KRAS G12D, xenografts, unique molecular identifiers, guide RNA design, functional genomics
MeSH terms
Colon, Humans, Organoids, Genes, Tumor Suppressor, Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR-Cas Systems

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