NDLI: Single-cell analysis of the transcriptome and its application in the characterization of stem cells and early embryos

Content Provider	Springer Nature Link
Author	Liu, Na Liu, Lin Pan, Xinghua
Copyright Year	2014
Abstract	Cellular heterogeneity within a cell population is a common phenomenon in multicellular organisms, tissues, cultured cells, and even FACS-sorted subpopulations. Important information may be masked if the cells are studied as a mass. Transcriptome profiling is a parameter that has been intensively studied, and relatively easier to address than protein composition. To understand the basis and importance of heterogeneity and stochastic aspects of the cell function and its mechanisms, it is essential to examine transcriptomes of a panel of single cells. High-throughput technologies, starting from microarrays and now RNA-seq, provide a full view of the expression of transcriptomes but are limited by the amount of RNA for analysis. Recently, several new approaches for amplification and sequencing the transcriptome of single cells or a limited low number of cells have been developed and applied. In this review, we summarize these major strategies, such as PCR-based methods, IVT-based methods, phi29-DNA polymerase-based methods, and several other methods, including their principles, characteristics, advantages, and limitations, with representative applications in cancer stem cells, early development, and embryonic stem cells. The prospects for development of future technology and application of transcriptome analysis in a single cell are also discussed.
Starting Page	2707
Ending Page	2715
Page Count	9
File Format	PDF
ISSN	1420682X
Journal	Cellular and Molecular Life Sciences
Volume Number	71
Issue Number	14
e-ISSN	14209071
Language	English
Publisher	Springer Basel
Publisher Date	2014-03-21
Publisher Place	Basel
Access Restriction	Subscribed
Subject Keyword	Single cells Transcriptome RNA-seq Cancer stem cells Embryonic stem cells Cell Biology Biomedicine general Life Sciences Biochemistry
Content Type	Text
Resource Type	Article
Subject	Cell Biology Molecular Biology Molecular Medicine Pharmacology Cellular and Molecular Neuroscience

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