CRISPR-Barcoding for Intratumor Genetic Heterogeneity Modeling and Functional Analysis of Oncogenic Driver Mutations

Alexis Guernet, Sathish Kumar Mungamuri, Dorthe Cartier, Ravi Sachidanandam, Anitha Jayaprakash, Sahil Adriouch, Myriam Vezain, Françoise Charbonnier, Guy Rohkin, Sophie Coutant, Shen Yao, Hassan Ainani, David Alexandre, Isabelle Tournier, Olivier Boyer, Stuart A. Aaronson, Youssef Anouar, Luca Grumolato

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

Intratumor genetic heterogeneity underlies the ability of tumors to evolve and adapt to different environmental conditions. Using CRISPR/Cas9 technology and specific DNA barcodes, we devised a strategy to recapitulate and trace the emergence of subpopulations of cancer cells containing a mutation of interest. We used this approach to model different mechanisms of lung cancer cell resistance to EGFR inhibitors and to assess effects of combined drug therapies. By overcoming intrinsic limitations of current approaches, CRISPR-barcoding also enables investigation of most types of genetic modifications, including repair of oncogenic driver mutations. Finally, we used highly complex barcodes inserted at a specific genome location as a means of simultaneously tracing the fates of many thousands of genetically labeled cancer cells. CRISPR-barcoding is a straightforward and highly flexible method that should greatly facilitate the functional investigation of specific mutations, in a context that closely mimics the complexity of cancer.

Original languageEnglish
Pages (from-to)526-538
Number of pages13
JournalMolecular Cell
Volume63
Issue number3
DOIs
StatePublished - 4 Aug 2016

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