Document Detail


Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq.
MedLine Citation:
PMID:  21543516     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Our understanding of the development and maintenance of tissues has been greatly aided by large-scale gene expression analysis. However, tissues are invariably complex, and expression analysis of a tissue confounds the true expression patterns of its constituent cell types. Here we describe a novel strategy to access such complex samples. Single-cell RNA-seq expression profiles were generated, and clustered to form a two-dimensional cell map onto which expression data were projected. The resulting cell map integrates three levels of organization: the whole population of cells, the functionally distinct subpopulations it contains, and the single cells themselves-all without need for known markers to classify cell types. The feasibility of the strategy was demonstrated by analyzing the transcriptomes of 85 single cells of two distinct types. We believe this strategy will enable the unbiased discovery and analysis of naturally occurring cell types during development, adult physiology, and disease.
Authors:
Saiful Islam; Una Kjällquist; Annalena Moliner; Pawel Zajac; Jian-Bing Fan; Peter Lönnerberg; Sten Linnarsson
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2011-05-04
Journal Detail:
Title:  Genome research     Volume:  21     ISSN:  1549-5469     ISO Abbreviation:  Genome Res.     Publication Date:  2011 Jul 
Date Detail:
Created Date:  2011-07-04     Completed Date:  2011-10-27     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  9518021     Medline TA:  Genome Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1160-7     Citation Subset:  IM    
Affiliation:
Laboratory for Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Data Bank Information
Bank Name/Acc. No.:
GEO/GSE29087
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MeSH Terms
Descriptor/Qualifier:
Animals
Cells, Cultured
Cluster Analysis
DNA, Complementary / genetics
Exons
Gene Expression Profiling / methods*
Gene Library
Genome
Humans
Mice
Oligonucleotide Array Sequence Analysis / methods
RNA Splicing
RNA, Messenger / genetics,  metabolism
Sequence Analysis, RNA / methods*
Transcription, Genetic*
Chemical
Reg. No./Substance:
0/DNA, Complementary; 0/RNA, Messenger
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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