Unknown

Dataset Information

0

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


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.

SUBMITTER: Guernet A 

PROVIDER: S-EPMC5537739 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications


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 o  ...[more]

Similar Datasets

| S-EPMC5016932 | biostudies-literature
| S-EPMC6451907 | biostudies-literature
| S-EPMC5131846 | biostudies-literature
| S-EPMC6261536 | biostudies-literature
| S-EPMC7235245 | biostudies-literature
| S-EPMC4802602 | biostudies-literature
| S-EPMC10557318 | biostudies-literature
| S-EPMC8956509 | biostudies-literature
| S-EPMC7810788 | biostudies-literature
| S-EPMC8290236 | biostudies-literature