Linked Life Data

14730301

Source:http://linkedlifedata.com/resource/pubmed/id/14730301

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2004-1-30
pubmed:abstractText
We developed a method for systematically comparing gene expression patterns across organisms using genome-wide comparative analysis of DNA microarray experiments. We identified analogous gene expression programs comprising shared patterns of regulation across orthologous genes. Biological features of these patterns could be identified as highly conserved subpatterns that correspond to Gene Ontology categories. Here, we demonstrate these methods by analyzing a specific biological process, aging, and show that similar analysis can be applied to a range of biological processes. We found that two highly diverged animals, the nematode Caenorhabditis elegans and the fruit fly Drosophila melanogaster, implement a shared adult-onset expression program of genes involved in mitochondrial metabolism, DNA repair, catabolism, peptidolysis and cellular transport. Most of these changes were implemented early in adulthood. Using this approach to search databases of gene expression data, we found conserved transcriptional signatures in larval development, embryogenesis, gametogenesis and mRNA degradation.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1061-4036
pubmed:author
pubmed:issnType
Print
pubmed:volume
36
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
197-204
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Comparing genomic expression patterns across species identifies shared transcriptional profile in aging.
pubmed:affiliation
Program in Neuroscience, University of California, San Francisco, California 94143, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't