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Genome-wide chemical mutagenesis screens allow unbiased saturation of the cancer genome and identification of drug resistance mutations.

ABSTRACT: 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.

SUBMITTER: Brammeld JS

PROVIDER: S-EPMC5378179 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Genome-wide chemical mutagenesis screens allow unbiased saturation of the cancer genome and identification of drug resistance mutations.

Brammeld Jonathan S JS Petljak Mia M Martincorena Inigo I Williams Steven P SP Alonso Luz Garcia LG Dalmases Alba A Bellosillo Beatriz B Robles-Espinoza Carla Daniela CD Price Stacey S Barthorpe Syd S Tarpey Patrick P Alifrangis Constantine C Bignell Graham G Vidal Joana J Young Jamie J Stebbings Lucy L Beal Kathryn K Stratton Michael R MR Saez-Rodriguez Julio J Garnett Mathew M Montagut Clara C Iorio Francesco F McDermott Ultan U

Genome research 20170208 4

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 ...[more]

PMID: 28179366

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Project description:UNLABELLED:Burkholderia pseudomallei is the causative agent of melioidosis, an often fatal infectious disease for which there is no vaccine. B. pseudomallei is listed as a tier 1 select agent, and as current therapeutic options are limited due to its natural resistance to most antibiotics, the development of new antimicrobial therapies is imperative. To identify drug targets and better understand the complex B. pseudomallei genome, we sought a genome-wide approach to identify lethal gene targets. As B. pseudomallei has an unusually large genome spread over two chromosomes, an extensive screen was required to achieve a comprehensive analysis. Here we describe transposon-directed insertion site sequencing (TraDIS) of a library of over 10(6) transposon insertion mutants, which provides the level of genome saturation required to identify essential genes. Using this technique, we have identified a set of 505 genes that are predicted to be essential in B. pseudomallei K96243. To validate our screen, three genes predicted to be essential, pyrH, accA, and sodB, and a gene predicted to be nonessential, bpss0370, were independently investigated through the generation of conditional mutants. The conditional mutants confirmed the TraDIS predictions, showing that we have generated a list of genes predicted to be essential and demonstrating that this technique can be used to analyze complex genomes and thus be more widely applied. IMPORTANCE:Burkholderia pseudomallei is a lethal human pathogen that is considered a potential bioterrorism threat and has limited treatment options due to an unusually high natural resistance to most antibiotics. We have identified a set of genes that are required for bacterial growth and thus are excellent candidates against which to develop potential novel antibiotics. To validate our approach, we constructed four mutants in which gene expression can be turned on and off conditionally to confirm that these genes are required for the bacteria to survive.

Project description:To gain insight into the impact of mutations on the viability of the hepatitis C virus (HCV) genome, we created a set of full-genome mutant libraries, differing from the parent sequence as well as each other, by using a random mutagenesis approach; the proportion of mutations increased across these libraries with declining template amount or dATP concentration. The replication efficiencies of full-genome mutant libraries ranged between 71 and 329 focus-forming units (FFU) per 105 Huh7.5 cells. Mutant libraries with low proportions of mutations demonstrated low replication capabilities, whereas those with high proportions of mutations had their replication capabilities restored. Hepatoma cells transfected with selected mutant libraries, with low (4 mutations per 10,000 bp copied), moderate (33 mutations), and high (66 mutations) proportions of mutations, and their progeny were subjected to serial passage. Predominant virus variants (mutants) from these mutant libraries (Mutantl, Mutantm, and Mutanth, respectively) were evaluated for changes in growth kinetics and particle-to-FFU unit ratio, virus protein expression, and modulation of host cell protein synthesis. Mutantm and Mutantl variants produced >3.0-log-higher extracellular progeny per ml than the parent, and Mutanth produced progeny at a rate 1.0-log lower. More than 80% of the mutations were in a nonstructural part of the mutant genomes, the majority were nonsynonymous, and a moderate to large proportion were in the conserved regions. Our results suggest that the HCV genome has the ability to overcome lethal/deleterious mutations because of the high reproduction rate but highly selects for random, beneficial mutations.IMPORTANCE Hepatitis C virus (HCV) in vivo displays high genetic heterogeneity, which is partly due to the high reproduction and random substitutions during error-prone genome replication. It is difficult to introduce random substitutions in vitro because of limitations in inducing mutagenesis from the 5' end to the 3' end of the genome. Our study has overcome this limitation. We synthesized full-length genomes with few to several random mutations in the background of an HCV clone that can recapitulate all steps of the life cycle. Our study provides evidence of the capability of the HCV genome to overcome deleterious mutations and remain viable. Mutants that emerged from the libraries had diverse phenotype profiles compared to the parent, and putative adaptive mutations mapped to segments of the conserved nonstructural genome. We demonstrate the potential utility of our system for the study of sequence variation that ensures the survival and adaptation of HCV.

Dataset Information

Genome-wide chemical mutagenesis screens allow unbiased saturation of the cancer genome and identification of drug resistance mutations.

Publications

Genome-wide chemical mutagenesis screens allow unbiased saturation of the cancer genome and identification of drug resistance mutations.

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