Linked Life Data

19731199

Source:http://linkedlifedata.com/resource/pubmed/id/19731199

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2009-9-4
pubmed:abstractText
Genes whose products function in a common biological process are often co-regulated. When regulation occurs at the transcriptional level, co-expressed genes can be detected globally by expression arrays or by sequencing non-normalized cDNA libraries. We examined bovine gene expression in 27 tissues using non-normalized cDNA library sequencing. Contigs were generated from expressed sequence tags whose sequences overlapped. Contigs containing a minimum of five expressed sequence tags were ordered via a hierarchical clustering process, where the distance between the contigs represents their expression pattern similarity across tissues. Gene ontology terms associated with the genes in each cluster showed that co-clustered genes encoded proteins involved in a common biological process. This process can be used to annotate genes of unknown function in the cluster. Gene expression was compared between bovine and human tissues; there were significant correlations between species for each tissue, with the exception of thyroid and placenta. Tissues were also clustered based on the genes they express; tissues with similar physiological functions clustered closely. Based on this information, we generated the first preliminary gene atlas of the bovine genome. Genes with similar expression patterns were clustered, and genes with a common function co-clustered. This method can be used to annotate genes of unknown function in the bovine genome.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1676-5680
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
8
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1013-27
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Generation of a preliminary bovine gene atlas, using expression clustering to annotate gene function.
pubmed:affiliation
Department of Biochemistry, University of Otago, AgResearch, Molecular Biology Unit, Dunedin, New Zealand. orla.keane@teagasc.ie
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't