title: Modeling intratumor heterogeneity through CRISPR-barcodes.
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.
authors.affiliation: Normandie Univ, UNIROUEN, INSERM, DC2N, Rouen, France; Institute for Research and Innovation in Biomedicine, Rouen, France.
authors.forename: Alexis
authors.initials: A
authors.lastname: Guernet
authors.affiliation: Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai , New York, NY, USA.
authors.forename: Stuart A
authors.initials: SA
authors.lastname: Aaronson
authors.affiliation: Normandie Univ, UNIROUEN, INSERM, DC2N, Rouen, France; Institute for Research and Innovation in Biomedicine, Rouen, France.
authors.forename: Youssef
authors.initials: Y
authors.lastname: Anouar
authors.affiliation: Normandie Univ, UNIROUEN, INSERM, DC2N, Rouen, France; Institute for Research and Innovation in Biomedicine, Rouen, France.
authors.forename: Luca
authors.initials: L
authors.lastname: Grumolato
keywords: ALK; APC; CRISPR/Cas9; EGFR; TP53; genetic barcoding; non-small cell lung cancer; resistance; tumor heterogeneity