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Methods and platforms for analysis of nucleic acids from single-cell based on microfluidics

Authors
  • Liu, Luyao1
  • Dong, Xiaobin1
  • Tu, Yunping1
  • Miao, Guijun1
  • Zhang, Zhongping1
  • Zhang, Lulu1
  • Wei, Zewen2
  • Yu, Duli1, 3
  • Qiu, Xianbo1
  • 1 Institute of Microfluidic Chip Development in Biomedical Engineering, College of Information Science and Technology, Beijing University of Chemical Technology,
  • 2 Beijing Institute of Technology,
  • 3 Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing, 100029 China
Type
Published Article
Journal
Microfluidics and Nanofluidics
Publisher
Springer-Verlag
Publication Date
Sep 22, 2021
Volume
25
Issue
11
Identifiers
DOI: 10.1007/s10404-021-02485-0
PMID: 34580578
PMCID: PMC8457033
Source
PubMed Central
Keywords
Disciplines
  • Review
License
Unknown

Abstract

Single-cell nucleic acid analysis aims at discovering the genetic differences between individual cells which is well known as the cellular heterogeneity. This technology facilitates cancer diagnosis, stem cell research, immune system analysis, and other life science applications. The conventional platforms for single-cell nucleic acid analysis more rely on manual operation or bulky devices. Recently, the emerging microfluidic technology has provided a perfect platform for single-cell nucleic acid analysis with the characteristic of accurate and automatic single-cell manipulation. In this review, we briefly summarized the procedure of single-cell nucleic acid analysis including single-cell isolation, single-cell lysis, nucleic acid amplification, and genetic analysis. And then, three representative microfluidic platforms for single-cell nucleic acid analysis are concluded as valve-, microwell-, and droplet-based platforms. Furthermore, we described the state-of-the-art integrated single-cell nucleic acid analysis systems based on the three platforms. Finally, the future development and challenges of microfluidics-based single-cell nucleic acid analysis are discussed as well.

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