Genome-wide chemical mutagenesis screens allow unbiased saturation of the cancer genome and identification of drug resistance mutations
Author(s) -
Jonathan Brammeld,
Mia Petljak,
Iñigo Martincorena,
Steven P. Williams,
Luz GarcíaAlonso,
Alba Dalmases,
Beatríz Bellosillo,
Carla Daniela RoblesEspinoza,
Stacey Price,
Syd Barthorpe,
Patrick Tarpey,
Constantine Alifrangis,
Graham R. Bignell,
Joana Vidal,
Jamie Young,
Lucy Stebbings,
Kathryn Beal,
Michael R. Stratton,
Julio Sáez-Rodríguez,
Mathew J. Garnett,
Clara Montagut,
Francesco Iorio,
Ultan McDermott
Publication year - 2017
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.213546.116
Subject(s) - biology , druggability , genetics , genome , point mutation , drug resistance , computational biology , mutagenesis , context (archaeology) , saturated mutagenesis , gene , cancer genome sequencing , mutation , whole genome sequencing , mutant , paleontology
Drug resistance is an almost inevitable consequence of cancer therapy and ultimately proves fatal for the majority of patients. In many cases, this is the consequence of specific gene mutations that have the potential to be targeted to resensitize the tumor. The ability to uniformly saturate the genome with point mutations without chromosome or nucleotide sequence context bias would open the door to identify all putative drug resistance mutations in cancer models. Here, we describe such a method for elucidating drug resistance mechanisms using genome-wide chemical mutagenesis allied to next-generation sequencing. We show that chemically mutagenizing the genome of cancer cells dramatically increases the number of drug-resistant clones and allows the detection of both known and novel drug resistance mutations. We used an efficient computational process that allows for the rapid identification of involved pathways and druggable targets. Such a priori knowledge would greatly empower serial monitoring strategies for drug resistance in the clinic as well as the development of trials for drug-resistant patients.
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