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Digital-WGS: Automated, highly efficient whole-genome sequencing of single cells by digital microfluidics

  • Qingyu Ruan
  • , Weidong Ruan
  • , Xiaoye Lin
  • , Zhi Zhu
  • , Chaoyong Yang*
  • *Corresponding author for this work
  • Xiamen University
  • Shanghai Jiao Tong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Current sample preparation technologies for single-cell whole-genome sequencing (WGS) are complex, expensive, and suffer from high amplification bias and errors. This paper describes Digital-WGS, a sample preparation platform that automates parallel nanoliter-volume WGS from efficient single-cell isolation to high-performance whole-genome amplification based on digital microfluidics. The digital control of droplets in a closed hydrophobic interface enables the complete removal of exogenous DNA, sufficient cell lysis and lossless amplicons recovery, achieving the low CV and high coverage at multiple scales. Digital-WGS provides an efficient and robust method for performing single-cell sequencing, which is scalable and universal for any chemistry of single-cell analysis.

Original languageEnglish
Title of host publicationMicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences
PublisherChemical and Biological Microsystems Society
Pages252-253
Number of pages2
ISBN (Electronic)9781733419017
StatePublished - 2020
Externally publishedYes
Event24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020 - Virtual, Online
Duration: 4 Oct 20209 Oct 2020

Publication series

NameMicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences

Conference

Conference24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020
CityVirtual, Online
Period4/10/209/10/20

Keywords

  • Digital microfluidics
  • Genome
  • Sequencing
  • Single cells
  • Whole genome amplification

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