Single-cell technologies sharpen up mammalian stem cell research

被引：87

作者：

Hoppe, Philipp S. ^{[1
]}

Coutu, Daniel L. ^{[1
]}

Schroeder, Timm ^{[1
]}

机构：

[1] ETH, Dept Biosyst Sci & Engn, CH-4058 Basel, Switzerland

来源：

NATURE CELL BIOLOGY | 2014年 / 16卷 / 10期

关键词：

GENE-EXPRESSION ANALYSIS; MOUSE CEREBRAL-CORTEX; MURINE HEMATOPOIETIC STEM; GREEN FLUORESCENT PROTEIN; MESSENGER-RNA DETECTION; LIVING CELLS; IN-VIVO; PROGENITOR CELLS; CLONAL ANALYSIS; TRANSCRIPTOME ANALYSIS;

D O I：

10.1038/ncb3042

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Analysis of the mechanisms underlying cell fates requires the molecular quantification of cellular features. Classical techniques use population average readouts at single time points. However, these approaches mask cellular heterogeneity and dynamics and are limited for studying rare and heterogeneous cell populations like stem cells. Techniques for single-cell analyses, ideally allowing non-invasive quantification of molecular dynamics and cellular behaviour over time, are required for studying stem cells. Here, we review the development and application of these techniques to stem cell research.

引用

页码：919 / 927

页数：9

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