Literature DB >> 27412862

Robust high-performance nanoliter-volume single-cell multiple displacement amplification on planar substrates.

Kaston Leung1, Anders Klaus1, Bill K Lin1, Emma Laks2, Justina Biele2, Daniel Lai3, Ali Bashashati3, Yi-Fei Huang2, Radhouane Aniba2, Michelle Moksa4, Adi Steif2, Anne-Marie Mes-Masson5, Martin Hirst6, Sohrab P Shah7, Samuel Aparicio7, Carl L Hansen8.   

Abstract

The genomes of large numbers of single cells must be sequenced to further understanding of the biological significance of genomic heterogeneity in complex systems. Whole genome amplification (WGA) of single cells is generally the first step in such studies, but is prone to nonuniformity that can compromise genomic measurement accuracy. Despite recent advances, robust performance in high-throughput single-cell WGA remains elusive. Here, we introduce droplet multiple displacement amplification (MDA), a method that uses commercially available liquid dispensing to perform high-throughput single-cell MDA in nanoliter volumes. The performance of droplet MDA is characterized using a large dataset of 129 normal diploid cells, and is shown to exceed previously reported single-cell WGA methods in amplification uniformity, genome coverage, and/or robustness. We achieve up to 80% coverage of a single-cell genome at 5× sequencing depth, and demonstrate excellent single-nucleotide variant (SNV) detection using targeted sequencing of droplet MDA product to achieve a median allelic dropout of 15%, and using whole genome sequencing to achieve false and true positive rates of 9.66 × 10(-6) and 68.8%, respectively, in a G1-phase cell. We further show that droplet MDA allows for the detection of copy number variants (CNVs) as small as 30 kb in single cells of an ovarian cancer cell line and as small as 9 Mb in two high-grade serous ovarian cancer samples using only 0.02× depth. Droplet MDA provides an accessible and scalable method for performing robust and accurate CNV and SNV measurements on large numbers of single cells.

Entities:  

Keywords:  microdroplet; multiple displacement amplification; nanoliter volume; single-cell sequencing; whole genome amplification

Mesh:

Year:  2016        PMID: 27412862      PMCID: PMC4968760          DOI: 10.1073/pnas.1520964113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  29 in total

1.  A programmable droplet-based microfluidic device applied to multiparameter analysis of single microbes and microbial communities.

Authors:  Kaston Leung; Hans Zahn; Timothy Leaver; Kishori M Konwar; Niels W Hanson; Antoine P Pagé; Chien-Chi Lo; Patrick S Chain; Steven J Hallam; Carl L Hansen
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-30       Impact factor: 11.205

2.  Mosaic copy number variation in human neurons.

Authors:  Michael J McConnell; Michael R Lindberg; Kristen J Brennand; Julia C Piper; Thierry Voet; Chris Cowing-Zitron; Svetlana Shumilina; Roger S Lasken; Joris R Vermeesch; Ira M Hall; Fred H Gage
Journal:  Science       Date:  2013-11-01       Impact factor: 47.728

3.  Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics.

Authors:  Charles Gawad; Winston Koh; Stephen R Quake
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-25       Impact factor: 11.205

4.  Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution.

Authors:  Peter Eirew; Adi Steif; Jaswinder Khattra; Gavin Ha; Damian Yap; Hossein Farahani; Karen Gelmon; Stephen Chia; Colin Mar; Adrian Wan; Emma Laks; Justina Biele; Karey Shumansky; Jamie Rosner; Andrew McPherson; Cydney Nielsen; Andrew J L Roth; Calvin Lefebvre; Ali Bashashati; Camila de Souza; Celia Siu; Radhouane Aniba; Jazmine Brimhall; Arusha Oloumi; Tomo Osako; Alejandra Bruna; Jose L Sandoval; Teresa Algara; Wendy Greenwood; Kaston Leung; Hongwei Cheng; Hui Xue; Yuzhuo Wang; Dong Lin; Andrew J Mungall; Richard Moore; Yongjun Zhao; Julie Lorette; Long Nguyen; David Huntsman; Connie J Eaves; Carl Hansen; Marco A Marra; Carlos Caldas; Sohrab P Shah; Samuel Aparicio
Journal:  Nature       Date:  2014-11-26       Impact factor: 49.962

5.  Tumour evolution inferred by single-cell sequencing.

Authors:  Nicholas Navin; Jude Kendall; Jennifer Troge; Peter Andrews; Linda Rodgers; Jeanne McIndoo; Kerry Cook; Asya Stepansky; Dan Levy; Diane Esposito; Lakshmi Muthuswamy; Alex Krasnitz; W Richard McCombie; James Hicks; Michael Wigler
Journal:  Nature       Date:  2011-03-13       Impact factor: 49.962

6.  Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.

Authors:  Jiarui Ding; Ali Bashashati; Andrew Roth; Arusha Oloumi; Kane Tse; Thomas Zeng; Gholamreza Haffari; Martin Hirst; Marco A Marra; Anne Condon; Samuel Aparicio; Sohrab P Shah
Journal:  Bioinformatics       Date:  2011-11-13       Impact factor: 6.937

7.  Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer.

Authors:  Jens G Lohr; Viktor A Adalsteinsson; Kristian Cibulskis; Atish D Choudhury; Mara Rosenberg; Peter Cruz-Gordillo; Joshua M Francis; Cheng-Zhong Zhang; Alex K Shalek; Rahul Satija; John J Trombetta; Diana Lu; Naren Tallapragada; Narmin Tahirova; Sora Kim; Brendan Blumenstiel; Carrie Sougnez; Alarice Lowe; Bang Wong; Daniel Auclair; Eliezer M Van Allen; Mari Nakabayashi; Rosina T Lis; Gwo-Shu M Lee; Tiantian Li; Matthew S Chabot; Amy Ly; Mary-Ellen Taplin; Thomas E Clancy; Massimo Loda; Aviv Regev; Matthew Meyerson; William C Hahn; Philip W Kantoff; Todd R Golub; Gad Getz; Jesse S Boehm; J Christopher Love
Journal:  Nat Biotechnol       Date:  2014-04-20       Impact factor: 54.908

8.  Printing 2-dimentional droplet array for single-cell reverse transcription quantitative PCR assay with a microfluidic robot.

Authors:  Ying Zhu; Yun-Xia Zhang; Wen-Wen Liu; Yan Ma; Qun Fang; Bo Yao
Journal:  Sci Rep       Date:  2015-04-01       Impact factor: 4.379

9.  Nanoliter reactors improve multiple displacement amplification of genomes from single cells.

Authors:  Yann Marcy; Thomas Ishoey; Roger S Lasken; Timothy B Stockwell; Brian P Walenz; Aaron L Halpern; Karen Y Beeson; Susanne M D Goldberg; Stephen R Quake
Journal:  PLoS Genet       Date:  2007-09       Impact factor: 5.917

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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  18 in total

1.  Single-cell whole-genome analyses by Linear Amplification via Transposon Insertion (LIANTI).

Authors:  Chongyi Chen; Dong Xing; Longzhi Tan; Heng Li; Guangyu Zhou; Lei Huang; X Sunney Xie
Journal:  Science       Date:  2017-04-14       Impact factor: 47.728

2.  PaSD-qc: quality control for single cell whole-genome sequencing data using power spectral density estimation.

Authors:  Maxwell A Sherman; Alison R Barton; Michael A Lodato; Carl Vitzthum; Michael E Coulter; Christopher A Walsh; Peter J Park
Journal:  Nucleic Acids Res       Date:  2018-02-28       Impact factor: 16.971

Review 3.  Recent advances in the use of microfluidic technologies for single cell analysis.

Authors:  Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616

4.  Technology: Enabling accurate single-cell genome amplification.

Authors:  Darren J Burgess
Journal:  Nat Rev Genet       Date:  2016-08-16       Impact factor: 53.242

Review 5.  Unravelling biology and shifting paradigms in cancer with single-cell sequencing.

Authors:  Timour Baslan; James Hicks
Journal:  Nat Rev Cancer       Date:  2017-08-24       Impact factor: 60.716

6.  Predicting the Number of Bases to Attain Sufficient Coverage in High-Throughput Sequencing Experiments.

Authors:  Chao Deng; Timothy Daley; Peter Calabrese; Jie Ren; Andrew D Smith
Journal:  J Comput Biol       Date:  2019-11-15       Impact factor: 1.479

Review 7.  Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices.

Authors:  Sanjay M Prakadan; Alex K Shalek; David A Weitz
Journal:  Nat Rev Genet       Date:  2017-04-10       Impact factor: 53.242

8.  Single-cell genome sequencing at ultra-high-throughput with microfluidic droplet barcoding.

Authors:  Freeman Lan; Benjamin Demaree; Noorsher Ahmed; Adam R Abate
Journal:  Nat Biotechnol       Date:  2017-05-29       Impact factor: 54.908

Review 9.  Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level.

Authors:  Zixi Chen; Lei Chen; Weiwen Zhang
Journal:  Front Microbiol       Date:  2017-09-20       Impact factor: 5.640

10.  Obtaining high-quality draft genomes from uncultured microbes by cleaning and co-assembly of single-cell amplified genomes.

Authors:  Masato Kogawa; Masahito Hosokawa; Yohei Nishikawa; Kazuki Mori; Haruko Takeyama
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

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