微流控
计算生物学
组学
单细胞分析
转录组
计算机科学
生物
细胞
生物信息学
纳米技术
基因表达
基因
遗传学
材料科学
作者
Shichao Lin,Yilong Liu,Mingxia Zhang,Xing Xu,Yingwen Chen,Huimin Zhang,Chaoyong Yang
出处
期刊:Lab on a Chip
[The Royal Society of Chemistry]
日期:2021-01-01
卷期号:21 (20): 3829-3849
被引量:21
摘要
Cells are the basic units of life with vast heterogeneity. Single-cell transcriptomics unveils cell-to-cell gene expression variabilities, discovers novel cell types, and uncovers the critical roles of cellular heterogeneity in biological processes. The recent advances in microfluidic technologies have greatly accelerated the development of single-cell transcriptomics with regard to throughput, sensitivity, cost, and automation. In this article, we review state-of-the-art microfluidic single-cell transcriptomics, with a focus on the methodologies. We first summarize six typical microfluidic platforms for isolation and transcriptomic analysis of single cells. Then the on-going trend of microfluidic transcriptomics towards multimodal omics, which integrates transcriptomics with other omics to provide more comprehensive pictures of gene expression networks, is discussed. We also highlight single-cell spatial transcriptomics and single-cell temporal transcriptomics that provide unprecedented spatiotemporal resolution to reveal transcriptomic dynamics in space and time, respectively. The emerging applications of microfluidic single-cell transcriptomics are also discussed. Finally, we discuss the current challenges to be tackled and provide perspectives on the future development of microfluidic single-cell transcriptomics.
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