Literature DB >> 28642169

A novel method to quantify base substitution mutations at the 10-6 per bp level in DNA samples.

Satoshi Yamashita1, Naoko Iida1, Hideyuki Takeshima1, Naoko Hattori1, Masahiro Maeda1, Takayoshi Kishino1, Reiko Nagano1, Taichi Shimazu2, Shoichiro Tsugane2, Toshikazu Ushijima3.   

Abstract

Somatic base substitution mutations of frequencies at the 10-6/bp level are expected to be present in many biomedical samples, such as tissues exposed to carcinogenic factors and exhausted stem cells. However, measurement of such rare mutations has been very difficult in human DNA samples. Here, we invented the use of 100 copies of genomic DNA as a template for amplicon deep sequencing so that a real mutation in a single DNA molecule would be detected at a variant allele frequency of 1% while sequencing errors have less frequency. In addition, we selected 15,552 error-resistant base positions whose mutation frequency was expected to reflect that of base positions that can drive carcinogenesis or potentially even of the entire genome. The validity of the method was first confirmed by the successful detection of mutations premixed at the frequency of 0.1%. Second, increasing mutation frequencies (4-60 × 10-6/bp) were successfully detected in cells treated with increasing doses of one of two mutagens, and their signature mutations were detected. The ratio of non-synonymous mutations to synonymous mutations time-dependently decreased after treatment with a mutagen, supporting the neutral theory of molecular evolution for somatic mutations. Importantly, gastric mucosae exposed to Helicobacter pylori infection was shown to have significantly higher mutation frequency than those without. These results demonstrated that our new method can be used to measure rare base substitution mutations at the 10-6/bp level, and is now ready for a wide range of applications.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Neutral theory; Next-generation sequencing; Point mutation; Target sequencing

Mesh:

Substances:

Year:  2017        PMID: 28642169     DOI: 10.1016/j.canlet.2017.06.010

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  4 in total

1.  Genetic and epigenetic alterations in normal tissues have differential impacts on cancer risk among tissues.

Authors:  Satoshi Yamashita; Takayoshi Kishino; Takamasa Takahashi; Taichi Shimazu; Hadrien Charvat; Yasuo Kakugawa; Takeshi Nakajima; Yi-Chia Lee; Naoko Iida; Masahiro Maeda; Naoko Hattori; Hideyuki Takeshima; Reiko Nagano; Ichiro Oda; Shoichiro Tsugane; Ming-Shiang Wu; Toshikazu Ushijima
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-22       Impact factor: 11.205

2.  A quantification method of somatic mutations in normal tissues and their accumulation in pediatric patients with chemotherapy.

Authors:  Sho Ueda; Satoshi Yamashita; Miho Nakajima; Tadashi Kumamoto; Chitose Ogawa; Yu-Yu Liu; Harumi Yamada; Emi Kubo; Naoko Hattori; Hideyuki Takeshima; Mika Wakabayashi; Naoko Iida; Yuichi Shiraishi; Masayuki Noguchi; Yukio Sato; Toshikazu Ushijima
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-27       Impact factor: 12.779

Review 3.  Detecting Rare Mutations and DNA Damage with Sequencing-Based Methods.

Authors:  Daniel B Sloan; Amanda K Broz; Joel Sharbrough; Zhiqiang Wu
Journal:  Trends Biotechnol       Date:  2018-03-14       Impact factor: 19.536

Review 4.  Accumulation of genetic and epigenetic alterations in normal cells and cancer risk.

Authors:  Hideyuki Takeshima; Toshikazu Ushijima
Journal:  NPJ Precis Oncol       Date:  2019-03-06
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.