HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

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
Document type :
Journal articles
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
https://hal-normandie-univ.archives-ouvertes.fr/hal-02017522
Contributor : Luca Grumolato Connect in order to contact the contributor
Submitted on : Tuesday, July 23, 2019 - 11:59:43 AM
Last modification on : Friday, March 11, 2022 - 2:09:47 PM

Links full text

pubmedcentral

Identifiers

Collections

COMUE-NORMANDIE | UNIROUEN | DC2N | INSERM | NORDIC

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

38