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Modeling intratumor heterogeneity through CRISPR-barcodes

Alexis Guernet 1 Stuart A. Aaronson 2 Youssef Anouar 3 Luca Grumolato 3, 1 
1 DC2N - Différenciation et communication neuronale et neuroendocrine
2 Department of Oncological Sciences
3 DC2N - Différenciation et communication neuronale et neuroendocrine
Abstract : We have devised a barcoding strategy to recapitulate cancer evolution through the emergence of subclonal mutations of interest, whose effects can be monitored in a dynamic manner. This approach can be easily adapted for a variety of applications, including combined modeling of multiple mechanisms of drug resistance or repair of oncogenic driver mutations in addicted cancer cells.
Keywords : ALK APC CRISPR/Cas9 EGFR genetic barcoding non-small cell lung cancer resistance TP53 tumor heterogeneity
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02017522
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Submitted on : Tuesday, July 23, 2019 - 11:59:43 AM
Last modification on : Friday, March 11, 2022 - 2:09:47 PM

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INSERM | COMUE-NORMANDIE | UNIROUEN | DC2N | NORDIC

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Alexis Guernet, Stuart A. Aaronson, Youssef Anouar, Luca Grumolato. Modeling intratumor heterogeneity through CRISPR-barcodes. Molecular & Cellular Oncology, 2016, 3 (6), pp.e1227894. ⟨10.1080/23723556.2016.1227894⟩. ⟨hal-02017522⟩

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