Literature DB >> 25299156

Detecting ultralow-frequency mutations by Duplex Sequencing.

Scott R Kennedy1, Michael W Schmitt2, Edward J Fox1, Brendan F Kohrn3, Jesse J Salk2, Eun Hyun Ahn1, Marc J Prindle1, Kawai J Kuong1, Jiang-Cheng Shen1, Rosa-Ana Risques1, Lawrence A Loeb4.   

Abstract

Duplex Sequencing (DS) is a next-generation sequencing methodology capable of detecting a single mutation among >1 × 10(7) wild-type nucleotides, thereby enabling the study of heterogeneous populations and very-low-frequency genetic alterations. DS can be applied to any double-stranded DNA sample, but it is ideal for small genomic regions of <1 Mb in size. The method relies on the ligation of sequencing adapters harboring random yet complementary double-stranded nucleotide sequences to the sample DNA of interest. Individually labeled strands are then PCR-amplified, creating sequence 'families' that share a common tag sequence derived from the two original complementary strands. Mutations are scored only if the variant is present in the PCR families arising from both of the two DNA strands. Here we provide a detailed protocol for efficient DS adapter synthesis, library preparation and target enrichment, as well as an overview of the data analysis workflow. The protocol typically takes 1-3 d.

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Year:  2014        PMID: 25299156      PMCID: PMC4271547          DOI: 10.1038/nprot.2014.170

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  40 in total

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2.  Accurate sampling and deep sequencing of the HIV-1 protease gene using a Primer ID.

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-30       Impact factor: 11.205

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4.  Comparison of clinical targeted next-generation sequence data from formalin-fixed and fresh-frozen tissue specimens.

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Journal:  J Mol Diagn       Date:  2013-06-26       Impact factor: 5.568

5.  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
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6.  Tumour evolution inferred by single-cell sequencing.

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Journal:  Nature       Date:  2011-03-13       Impact factor: 49.962

7.  High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi.

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8.  A method for counting PCR template molecules with application to next-generation sequencing.

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Journal:  Nucleic Acids Res       Date:  2011-04-13       Impact factor: 16.971

9.  Next Generation Sequencing of Ancient DNA: Requirements, Strategies and Perspectives.

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Journal:  Genes (Basel)       Date:  2010-07-28       Impact factor: 4.096

10.  Clonal evolution in breast cancer revealed by single nucleus genome sequencing.

Authors:  Yong Wang; Jill Waters; Marco L Leung; Anna Unruh; Whijae Roh; Xiuqing Shi; Ken Chen; Paul Scheet; Selina Vattathil; Han Liang; Asha Multani; Hong Zhang; Rui Zhao; Franziska Michor; Funda Meric-Bernstam; Nicholas E Navin
Journal:  Nature       Date:  2014-07-30       Impact factor: 49.962

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  162 in total

1.  MSH1 is required for maintenance of the low mutation rates in plant mitochondrial and plastid genomes.

Authors:  Zhiqiang Wu; Gus Waneka; Amanda K Broz; Connor R King; Daniel B Sloan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-29       Impact factor: 11.205

2.  Incorporation of unique molecular identifiers in TruSeq adapters improves the accuracy of quantitative sequencing.

Authors:  Jungeui Hong; David Gresham
Journal:  Biotechniques       Date:  2017-11-01       Impact factor: 1.993

3.  Sequencing small genomic targets with high efficiency and extreme accuracy.

Authors:  Michael W Schmitt; Edward J Fox; Marc J Prindle; Kate S Reid-Bayliss; Lawrence D True; Jerald P Radich; Lawrence A Loeb
Journal:  Nat Methods       Date:  2015-04-06       Impact factor: 28.547

4.  Impact of preleukemic mutations and their persistence on hematologic recovery after induction chemotherapy for AML.

Authors:  Tracy Murphy; Jinfeng Zou; Georgina S Daher-Reyes; Andrea Arruda; Vikas Gupta; Caroline J McNamara; Mark D Minden; Aaron D Schimmer; Hassan Sibai; Karen W L Yee; Mariam Korulla; Tracy Stockley; Suzanne Kamel-Reid; Dawn Maze; Anne Tierens; Scott V Bratman; Andre C Schuh; Steven M Chan
Journal:  Blood Adv       Date:  2019-08-13

5.  Age-related accumulation of de novo mitochondrial mutations in mammalian oocytes and somatic tissues.

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Journal:  PLoS Biol       Date:  2020-07-15       Impact factor: 8.029

6.  On statistical modeling of sequencing noise in high depth data to assess tumor evolution.

Authors:  Raul Rabadan; Gyan Bhanot; Sonia Marsilio; Nicholas Chiorazzi; Laura Pasqualucci; Hossein Khiabanian
Journal:  J Stat Phys       Date:  2017-12-21       Impact factor: 1.548

Review 7.  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 8.  Genomic Instability in Cancer: Teetering on the Limit of Tolerance.

Authors:  Noemi Andor; Carlo C Maley; Hanlee P Ji
Journal:  Cancer Res       Date:  2017-04-21       Impact factor: 12.701

9.  Highly heterogeneous mutation rates in the hepatitis C virus genome.

Authors:  Ron Geller; Úrsula Estada; Joan B Peris; Iván Andreu; Juan-Vicente Bou; Raquel Garijo; José M Cuevas; Rosario Sabariegos; Antonio Mas; Rafael Sanjuán
Journal:  Nat Microbiol       Date:  2016-04-18       Impact factor: 17.745

10.  Decreased Mitochondrial Mutagenesis during Transformation of Human Breast Stem Cells into Tumorigenic Cells.

Authors:  Eun Hyun Ahn; Seung Hyuk Lee; Joon Yup Kim; Chia-Cheng Chang; Lawrence A Loeb
Journal:  Cancer Res       Date:  2016-05-17       Impact factor: 12.701

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