An atlas of human gene expression from massively parallel signature sequencing (MPSS).
Details
Serval ID
serval:BIB_02DA12A8934D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
An atlas of human gene expression from massively parallel signature sequencing (MPSS).
Journal
Genome research
ISSN
1088-9051
Publication state
Published
Issued date
2005
Peer-reviewed
Oui
Volume
15
Number
7
Pages
1007-14
Language
english
Notes
Publication types: Comparative Study ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, P.H.S. - Publication Status: ppublish
Abstract
We have used massively parallel signature sequencing (MPSS) to sample the transcriptomes of 32 normal human tissues to an unprecedented depth, thus documenting the patterns of expression of almost 20,000 genes with high sensitivity and specificity. The data confirm the widely held belief that differences in gene expression between cell and tissue types are largely determined by transcripts derived from a limited number of tissue-specific genes, rather than by combinations of more promiscuously expressed genes. Expression of a little more than half of all known human genes seems to account for both the common requirements and the specific functions of the tissues sampled. A classification of tissues based on patterns of gene expression largely reproduces classifications based on anatomical and biochemical properties. The unbiased sampling of the human transcriptome achieved by MPSS supports the idea that most human genes have been mapped, if not functionally characterized. This data set should prove useful for the identification of tissue-specific genes, for the study of global changes induced by pathological conditions, and for the definition of a minimal set of genes necessary for basic cell maintenance. The data are available on the Web at http://mpss.licr.org and http://sgb.lynxgen.com.
Keywords
Algorithms, Expressed Sequence Tags, Gene Expression, Gene Expression Profiling, Genetic Techniques, Humans, Organ Specificity, RNA, Messenger
Pubmed
Web of science
Create date
24/01/2008 15:39
Last modification date
20/08/2019 12:24