@article{3f6ff2ec506e4c7190d569b9cad6b2ba,
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.",
keywords = "ALK, APC, CRISPR/Cas9, EGFR, TP53, genetic barcoding, non-small cell lung cancer, resistance, tumor heterogeneity",
author = "Alexis Guernet and Aaronson, {Stuart A.} and Youssef Anouar and Luca Grumolato",
note = "Funding Information: This work was supported by the Institut National de la Sant{\'e}et de la Recherche M{\'e}dicale (INSERM), Universit{\'e}de Rouen Normandie, Ligue contre le Cancer de Haute Normandie, the National Cancer Institute (P01CA080058), and the Breast Cancer Research Foundation. A.G is recipient of a doctoral fellowship from the Normandy Region. L.G. was supported by a Chair of Excellence program from INSERM and Universit{\'e}de Rouen Normandie. Publisher Copyright: {\textcopyright} 2016, {\textcopyright} 2016 Taylor & Francis Group, LLC.",
year = "2016",
month = nov,
day = "1",
doi = "10.1080/23723556.2016.1227894",
language = "English",
volume = "3",
journal = "Molecular and Cellular Oncology",
issn = "2372-3556",
publisher = "Taylor and Francis Ltd.",
number = "6",
}