Linked Life Data

17369017

Source:http://linkedlifedata.com/resource/pubmed/id/17369017

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2007-4-23
pubmed:abstractText
In studies of their transcriptional activity, genomes have shown a high order of organization. We assessed the question of how genomically neighboring genes are transcriptionally coupled across tissues and what could be the driving force behind their coupling. We focused our analysis on the transcriptome information for 13 tissues of Mus musculus and 79 tissues of Homo sapiens. The analysis of coexpression patterns of genomically adjacent genes across tissues revealed 2619 and 1275 clusters of highly coexpressed genes, respectively. Most of these clusters consist of pairs and triplets of genes. They span a limited genomic length and are phylogenetically conserved between human and mouse. These clusters consist mainly of nonparalogous genes and show a decreased functional and similar regulatory relationship to one another compared to general genomic neighbors. We hypothesize that these clusters trace back to large-scale, qualitative, persistent reorganizations of the transcriptome, while transcription factor regulation is likely to handle fine-tuning of transcription on shorter time scales. Our data point to so far uncharacterized cis-acting units and reject cofunctionality as a driving force.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0888-7543
pubmed:author
pubmed:issnType
Print
pubmed:volume
89
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
580-7
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Genomic organization of transcriptomes in mammals: Coregulation and cofunctionality.
pubmed:affiliation
Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Ihnestrasse 73, 14195 Berlin, Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't