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Microfluidic Single‐Cell Omics Analysis
Author(s) -
Xu Xing,
Wang Junxia,
Wu Lingling,
Guo Jingjing,
Song Yanling,
Tian Tian,
Wang Wei,
Zhu Zhi,
Yang Chaoyong
Publication year - 2020
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.201903905
Subject(s) - omics , microfluidics , computational biology , single cell analysis , biology , cell , computer science , nanotechnology , bioinformatics , genetics , materials science
Abstract The commonly existing cellular heterogeneity plays a critical role in biological processes such as embryonic development, cell differentiation, and disease progress. Single‐cell omics‐based heterogeneous studies have great significance for identifying different cell populations, discovering new cell types, revealing informative cell features, and uncovering significant interrelationships between cells. Recently, microfluidics has evolved to be a powerful technology for single‐cell omics analysis due to its merits of throughput, sensitivity, and accuracy. Herein, the recent advances of microfluidic single‐cell omics analysis, including different microfluidic platform designs, lysis strategies, and omics analysis techniques, are reviewed. Representative applications of microfluidic single‐cell omics analysis in complex biological studies are then summarized. Finally, a few perspectives on the future challenges and development trends of microfluidic‐assisted single‐cell omics analysis are discussed.