Literature DB >> 31217595

Use of synthetic DNA spike-in controls (sequins) for human genome sequencing.

James Blackburn1,2, Ted Wong1, Bindu Swapna Madala1, Chris Barker1, Simon A Hardwick1,2, Andre L M Reis1,2, Ira W Deveson3,4, Tim R Mercer5,6,7.   

Abstract

Next-generation sequencing (NGS) has been widely adopted to identify genetic variants and investigate their association with disease. However, the analysis of sequencing data remains challenging because of the complexity of human genetic variation and confounding errors introduced during library preparation, sequencing and analysis. We have developed a set of synthetic DNA spike-ins-termed 'sequins' (sequencing spike-ins)-that are directly added to DNA samples before library preparation. Sequins can be used to measure technical biases and to act as internal quantitative and qualitative controls throughout the sequencing workflow. This step-by-step protocol explains the use of sequins for both whole-genome and targeted sequencing of the human genome. This includes instructions regarding the dilution and addition of sequins to human DNA samples, followed by the bioinformatic steps required to separate sequin- and sample-derived sequencing reads and to evaluate the diagnostic performance of the assay. These practical guidelines are accompanied by a broader discussion of the conceptual and statistical principles that underpin the design of sequin standards. This protocol is suitable for users with standard laboratory and bioinformatic experience. The laboratory steps require ~1-4 d and the bioinformatic steps (which can be performed with the provided example data files) take an additional day.

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Year:  2019        PMID: 31217595     DOI: 10.1038/s41596-019-0175-1

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


  7 in total

1.  Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing.

Authors:  Li Tai Fang; Bin Zhu; Yongmei Zhao; Wanqiu Chen; Zhaowei Yang; Liz Kerrigan; Kurt Langenbach; Maryellen de Mars; Charles Lu; Kenneth Idler; Howard Jacob; Yuanting Zheng; Luyao Ren; Ying Yu; Erich Jaeger; Gary P Schroth; Ogan D Abaan; Keyur Talsania; Justin Lack; Tsai-Wei Shen; Zhong Chen; Seta Stanbouly; Bao Tran; Jyoti Shetty; Yuliya Kriga; Daoud Meerzaman; Cu Nguyen; Virginie Petitjean; Marc Sultan; Margaret Cam; Monika Mehta; Tiffany Hung; Eric Peters; Rasika Kalamegham; Sayed Mohammad Ebrahim Sahraeian; Marghoob Mohiyuddin; Yunfei Guo; Lijing Yao; Lei Song; Hugo Y K Lam; Jiri Drabek; Petr Vojta; Roberta Maestro; Daniela Gasparotto; Sulev Kõks; Ene Reimann; Andreas Scherer; Jessica Nordlund; Ulrika Liljedahl; Roderick V Jensen; Mehdi Pirooznia; Zhipan Li; Chunlin Xiao; Stephen T Sherry; Rebecca Kusko; Malcolm Moos; Eric Donaldson; Zivana Tezak; Baitang Ning; Weida Tong; Jing Li; Penelope Duerken-Hughes; Claudia Catalanotti; Shamoni Maheshwari; Joe Shuga; Winnie S Liang; Jonathan Keats; Jonathan Adkins; Erica Tassone; Victoria Zismann; Timothy McDaniel; Jeffrey Trent; Jonathan Foox; Daniel Butler; Christopher E Mason; Huixiao Hong; Leming Shi; Charles Wang; Wenming Xiao
Journal:  Nat Biotechnol       Date:  2021-09-09       Impact factor: 68.164

2.  Preparation of the standard cell lines for reference mutations in cancer gene-panels by genome editing in HEK 293 T/17 cells.

Authors:  Takayoshi Suzuki; Yoshinori Tsukumo; Chie Furihata; Mikihiko Naito; Arihiro Kohara
Journal:  Genes Environ       Date:  2020-02-11

3.  Toward Accurate and Robust Environmental Surveillance Using Metagenomics.

Authors:  Jiaxian Shen; Alexander G McFarland; Vincent B Young; Mary K Hayden; Erica M Hartmann
Journal:  Front Genet       Date:  2021-03-05       Impact factor: 4.599

4.  Using synthetic chromosome controls to evaluate the sequencing of difficult regions within the human genome.

Authors:  Andre L M Reis; Ira W Deveson; Bindu Swapna Madala; Ted Wong; Chris Barker; Joshua Xu; Niall Lennon; Weida Tong; Tim R Mercer
Journal:  Genome Biol       Date:  2022-01-12       Impact factor: 13.583

5.  Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology.

Authors:  Ira W Deveson; Binsheng Gong; Kevin Lai; Jennifer S LoCoco; Todd A Richmond; Jeoffrey Schageman; Zhihong Zhang; Natalia Novoradovskaya; James C Willey; Wendell Jones; Rebecca Kusko; Guangchun Chen; Bindu Swapna Madala; James Blackburn; Igor Stevanovski; Ambica Bhandari; Devin Close; Jeffrey Conroy; Michael Hubank; Narasimha Marella; Piotr A Mieczkowski; Fujun Qiu; Robert Sebra; Daniel Stetson; Lihyun Sun; Philippe Szankasi; Haowen Tan; Lin-Ya Tang; Hanane Arib; Hunter Best; Blake Burgher; Pierre R Bushel; Fergal Casey; Simon Cawley; Chia-Jung Chang; Jonathan Choi; Jorge Dinis; Daniel Duncan; Agda Karina Eterovic; Liang Feng; Abhisek Ghosal; Kristina Giorda; Sean Glenn; Scott Happe; Nathan Haseley; Kyle Horvath; Li-Yuan Hung; Mirna Jarosz; Garima Kushwaha; Dan Li; Quan-Zhen Li; Zhiguang Li; Liang-Chun Liu; Zhichao Liu; Charles Ma; Christopher E Mason; Dalila B Megherbi; Tom Morrison; Carlos Pabón-Peña; Mehdi Pirooznia; Paula Z Proszek; Amelia Raymond; Paul Rindler; Rebecca Ringler; Andreas Scherer; Rita Shaknovich; Tieliu Shi; Melissa Smith; Ping Song; Maya Strahl; Venkat J Thodima; Nikola Tom; Suman Verma; Jiashi Wang; Leihong Wu; Wenzhong Xiao; Chang Xu; Mary Yang; Guangliang Zhang; Sa Zhang; Yilin Zhang; Leming Shi; Weida Tong; Donald J Johann; Timothy R Mercer; Joshua Xu
Journal:  Nat Biotechnol       Date:  2021-04-12       Impact factor: 54.908

6.  Sensitive and reproducible cell-free methylome quantification with synthetic spike-in controls.

Authors:  Samantha L Wilson; Shu Yi Shen; Lauren Harmon; Justin M Burgener; Tim Triche; Scott V Bratman; Daniel D De Carvalho; Michael M Hoffman
Journal:  Cell Rep Methods       Date:  2022-09-09

7.  A novel use for Levey-Jennings charts in prenatal molecular diagnosis.

Authors:  Binghuan Weng; Ya-Li Xu; Jun Ying; Hao-Kun Yang; Lan Su; Yan-Mei Yang; Min Chen
Journal:  BMC Med Genomics       Date:  2020-07-31       Impact factor: 3.063

  7 in total

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