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Series GSE21180 Query DataSets for GSE21180
Status Public on Sep 21, 2010
Title Characterization of the single-cell transcriptional landscape by highly multiplex RNA-Seq
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary 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 constitutent cell types. Here we propose a novel strategy to access such complex samples. Hundreds of single-cell RNA-Seq expression profiles were generated, and clustered to form a two-dimensional cell map onto which expression data was 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 is demonstrated by analyzing the complete transcriptomes of 436 single cells of three distinct types. We believe this strategy will enable the unbiased discovery and analysis of naturally occurring cell types during development, adult physiology and disease.
Overall design Comparison of single-cell mRNA expression in 436 single cells from three cell types
Contributor(s) Islam S, Kjällquist U, Moliner A, Fan J, Linnarsson S
Citation(s) 21543516
Submission date Apr 02, 2010
Last update date May 15, 2019
Contact name Sten Linnarsson
Phone +46852487577
Organization name Karolinska Institutet
Department MBB
Lab Molecular Neurobiology
Street address Scheeles väg 2
City Stockholm
ZIP/Postal code 17177
Country Sweden
Platforms (1)
GPL9250 Illumina Genome Analyzer II (Mus musculus)
Samples (5)
GSM530063 START (ES) L006
GSM530064 START (ES) L013
GSM530065 START (ES) L019
SRA SRP006380
BioProject PRJNA126555

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE21180_RAW.tar 17.9 Mb (http)(custom) TAR (of TAB, WIG)
GSE21180_readme.txt 904 b (ftp)(http) TXT
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Processed data provided as supplementary file
Raw data are available in SRA

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