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Single Cell Isolation and Analysis

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Hu, Ping, Zhang, Wenhua, Xin, Hongbo, Deng, Glenn·2016·Frontiers in Cell and Developmental Biology

DOI 10.3389/fcell.2016.00116

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Abstract

Individual cell heterogeneity within a population can be critical to its peculiar function and fate. Subpopulations studies with mixed mutants and wild types may not be as informative regarding which cell responds to which drugs or clinical treatments. Cell to cell differences in RNA transcripts and protein expression can be key to answering questions in cancer, neurobiology, stem cell biology, immunology, and developmental biology. Conventional cell-based assays mainly analyze the average responses from a population of cells, without regarding individual cell phenotypes. To better understand the variations from cell to cell, scientists need to use single cell analyses to provide more detailed information for therapeutic decision making in precision medicine. In this review, we focus on the recent developments in single cell isolation and analysis, which include technologies, analyses and main applications. Here, we summarize the historical background, limitations, applications, and potential of single cell isolation technologies.

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A new source of polymorphic DNA markers for sperm typing: analysis of microsatellite repeats in single cells.
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Organoids
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Single-cell multiomics: technologies and data analysis methods
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Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
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See all 384

Authors: Hu, P., Zhang, W., Xin, H., & Deng, G.
Venue: Frontiers in Cell and Developmental Biology
Publisher: Frontiers Media SA
Published: 2016-10-25
Volume: 4
Pages: 116-116
ISSN: 2296-634X (ISSN-L)
DOI: 10.3389/fcell.2016.00116
OpenAlex: W2535231956
Cited by: 384
References: 96
FWCI: 14.14
Type: journal article
Language: en
Open access: gold

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Single Cell Isolation and Analysis

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