Literature DB >> 25934519

High-throughput sequencing in mutation detection: A new generation of genotoxicity tests?

Alexander Y Maslov1, Wilber Quispe-Tintaya2, Tatyana Gorbacheva2, Ryan R White2, Jan Vijg3.   

Abstract

The advent of next generation sequencing (NGS) technology has provided the means to directly analyze the genetic material in primary cells or tissues of any species in a high throughput manner for mutagenic effects of potential genotoxic agents. In principle, direct, genome-wide sequencing of human primary cells and/or tissue biopsies would open up opportunities to identify individuals possibly exposed to mutagenic agents, thereby replacing current risk assessment procedures based on surrogate markers and extrapolations from animal studies. NGS-based tests can also precisely characterize the mutation spectra induced by genotoxic agents, improving our knowledge of their mechanism of action. Thus far, NGS has not been widely employed in genetic toxicology due to the difficulties in measuring low-abundant somatic mutations. Here, we review different strategies to employ NGS for the detection of somatic mutations in a cost-effective manner and discuss the potential applicability of these methods in testing the mutagenicity of genotoxic agents.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Genetic toxicology; Genome rearrangement; Mutagenicity; Mutation; Next generation sequencing

Mesh:

Year:  2015        PMID: 25934519      PMCID: PMC4532622          DOI: 10.1016/j.mrfmmm.2015.03.014

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  56 in total

1.  Encoding PCR products with batch-stamps and barcodes.

Authors:  Megan L McCloskey; Reinhard Stöger; R Scott Hansen; Charles D Laird
Journal:  Biochem Genet       Date:  2007-10-23       Impact factor: 1.890

2.  High-throughput DNA sequencing errors are reduced by orders of magnitude using circle sequencing.

Authors:  Dianne I Lou; Jeffrey A Hussmann; Ross M McBee; Ashley Acevedo; Raul Andino; William H Press; Sara L Sawyer
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-15       Impact factor: 11.205

Review 3.  DNA damage, aging, and cancer.

Authors:  Jan H J Hoeijmakers
Journal:  N Engl J Med       Date:  2009-10-08       Impact factor: 91.245

4.  The micronucleus test.

Authors:  W Schmid
Journal:  Mutat Res       Date:  1975-02       Impact factor: 2.433

Review 5.  Structural mutations in cancer: mechanistic and functional insights.

Authors:  Koichiro Inaki; Edison T Liu
Journal:  Trends Genet       Date:  2012-08-17       Impact factor: 11.639

6.  Single-cell isolation from cell suspensions and whole genome amplification from single cells to provide templates for CGH analysis.

Authors:  Jochen B Geigl; Michael R Speicher
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

7.  Evaluation of the L5178Y mouse lymphoma cell mutagenesis assay: intralaboratory results for sixty-three coded chemicals tested at SRI International.

Authors:  A D Mitchell; C J Rudd; W J Caspary
Journal:  Environ Mol Mutagen       Date:  1988       Impact factor: 3.216

Review 8.  The impact of translocations and gene fusions on cancer causation.

Authors:  Felix Mitelman; Bertil Johansson; Fredrik Mertens
Journal:  Nat Rev Cancer       Date:  2007-03-15       Impact factor: 60.716

9.  Direct, genome-wide assessment of DNA mutations in single cells.

Authors:  Michael Gundry; Wenge Li; Shahina Bano Maqbool; Jan Vijg
Journal:  Nucleic Acids Res       Date:  2011-11-15       Impact factor: 16.971

10.  A large genome center's improvements to the Illumina sequencing system.

Authors:  Michael A Quail; Iwanka Kozarewa; Frances Smith; Aylwyn Scally; Philip J Stephens; Richard Durbin; Harold Swerdlow; Daniel J Turner
Journal:  Nat Methods       Date:  2008-12       Impact factor: 28.547

View more
  14 in total

1.  Commentary: Life course epidemiology embraces geroscience.

Authors:  Luigi Ferrucci
Journal:  Int J Epidemiol       Date:  2016-08       Impact factor: 7.196

2.  Analysis of BRCA1/2 mutation spectrum and prevalence in unselected Chinese breast cancer patients by next-generation sequencing.

Authors:  Guoli Li; Xinwu Guo; Lili Tang; Ming Chen; Xipeng Luo; Limin Peng; Xunxun Xu; Shouman Wang; Zhi Xiao; Wenjun Yi; Lizhong Dai; Jun Wang
Journal:  J Cancer Res Clin Oncol       Date:  2017-06-29       Impact factor: 4.553

Review 3.  Do DNA Double-Strand Breaks Drive Aging?

Authors:  Ryan R White; Jan Vijg
Journal:  Mol Cell       Date:  2016-09-01       Impact factor: 17.970

Review 4.  Enhancing the accuracy of next-generation sequencing for detecting rare and subclonal mutations.

Authors:  Jesse J Salk; Michael W Schmitt; Lawrence A Loeb
Journal:  Nat Rev Genet       Date:  2018-03-26       Impact factor: 53.242

5.  Next generation sequencing data for use in risk assessment.

Authors:  B Alex Merrick
Journal:  Curr Opin Toxicol       Date:  2019-03-08

Review 6.  Collaborative studies in toxicogenomics in rodent liver in JEMS·MMS; a useful application of principal component analysis on toxicogenomics.

Authors:  Chie Furihata; Takashi Watanabe; Takayoshi Suzuki; Shuichi Hamada; Madoka Nakajima
Journal:  Genes Environ       Date:  2016-08-01

7.  Quantitative detection of low-abundance somatic structural variants in normal cells by high-throughput sequencing.

Authors:  Wilber Quispe-Tintaya; Tatyana Gorbacheva; Moonsook Lee; Sergei Makhortov; Vasily N Popov; Jan Vijg; Alexander Y Maslov
Journal:  Nat Methods       Date:  2016-06-06       Impact factor: 28.547

Review 8.  Base changes in tumour DNA have the power to reveal the causes and evolution of cancer.

Authors:  M Hollstein; L B Alexandrov; C P Wild; M Ardin; J Zavadil
Journal:  Oncogene       Date:  2016-06-06       Impact factor: 9.867

Review 9.  The various aspects of genetic and epigenetic toxicology: testing methods and clinical applications.

Authors:  Ning Ren; Manar Atyah; Wan-Yong Chen; Chen-Hao Zhou
Journal:  J Transl Med       Date:  2017-05-22       Impact factor: 5.531

10.  A genome-wide mutation analysis method enabling high-throughput identification of chemical mutagen signatures.

Authors:  Shoji Matsumura; Yurika Fujita; Masayuki Yamane; Osamu Morita; Hiroshi Honda
Journal:  Sci Rep       Date:  2018-06-25       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.