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Modeling intratumor heterogeneity through CRISPR-barcodes

Alexis Guernet 1 Stuart 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 : tumor heterogeneity TP53 resistance non-small cell lung cancer genetic barcoding ALK APC CRISPR/Cas9 EGFR
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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 : Tuesday, April 7, 2020 - 3:36:04 PM

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COMUE-NORMANDIE | UNIROUEN | DC2N | INSERM

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

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