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PMID: 15388519 Published · ppublish English Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification.

Bioinformatics (Oxford, England) ·Vol. 21 ·No. 5 ·2005-03-01 ·Pages 650-9

Yanai I, Benjamin H, Shmoish M, Chalifa-Caspi V, Shklar M, Ophir R, Bar-Even A, Horn-Saban S, Safran M, Domany E, Lancet D, Shmueli O

Abstract

Genes are often characterized dichotomously as either housekeeping or single-tissue specific. We conjectured that crucial functional information resides in genes with midrange profiles of expression. To obtain such novel information genome-wide, we have determined the mRNA expression levels for one of the largest hitherto analyzed set of 62 839 probesets in 12 representative normal human tissues. Indeed, when using a newly defined graded tissue specificity index tau, valued between 0 for housekeeping genes and 1 for tissue-specific genes, genes with midrange profiles having 0.15< tau<0.85 were found to constitute >50% of all expression patterns. We developed a binary classification, indicating for every gene the I(B) tissues in which it is overly expressed, and the 12-I(B) tissues in which it shows low expression. The 85 dominant midrange patterns with I(B)=2-11 were found to be bimodally distributed, and to contribute most significantly to the definition of tissue specification dendrograms. Our analyses provide a novel route to infer expression profiles for presumed ancestral nodes in the tissue dendrogram. Such definition has uncovered an unsuspected correlation, whereby de novo enhancement and diminution of gene expression go hand in hand. These findings highlight the importance of gene suppression events, with implications to the course of tissue specification in ontogeny and phylogeny. All data and analyses are publically available at the GeneNote website, http://genecards.weizmann.ac.il/genenote/ and, GEO accession GSE803. [email protected] Four tables available at the above site.

MeSH Terms
Algorithms Chromosome Mapping/methods Gene Expression Profiling/methods Humans Oligonucleotide Array Sequence Analysis/methods Organ Specificity Proteome/genetics,metabolism Software Tissue Distribution Transcription Factors/genetics,metabolism
Chemicals
Proteome Transcription Factors
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Yanai Itai
Department of Molecular Genetics, Weizmann Institute of Science 76100 Rehovot, Israel.
Benjamin Hila
Shmoish Michael
Chalifa-Caspi Vered
Shklar Maxim
Ophir Ron
Bar-Even Arren
Horn-Saban Shirley
Safran Marilyn
Domany Eytan
Lancet Doron
Shmueli Orit
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2005-03-01
Epub
2004-00-23
Pages
650-9
Language
English
Region
England
NLM ID
9808944
Subset
IM
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