Linked Life Data

17532529

Source:http://linkedlifedata.com/resource/pubmed/id/17532529

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11-12
pubmed:dateCreated
2007-5-28
pubmed:abstractText
Recently, microRNAs (miRNAs) have been shown to be important regulators of genes in many organisms and have already been implicated in a growing number of diseases. MiRNAs are short (21-23 nucleotides) RNAs that bind to the 3' untranslated regions of target genes. This binding event causes translational repression of the target gene and, evidence now suggests, also stimulates rapid degradation of the target transcript. miRNAs represent a new species of regulator, controlling the levels of potentially large numbers of proteins, many of which might be important drug targets. The expression of miRNAs shows that they are highly differentially expressed, with specific miRNAs active in certain tissues at certain times. In many cancers, miRNA expression is significantly altered, and this has been shown to be a useful diagnostic tool. Several computational approaches have been developed for the prediction of miRNA targets.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1359-6446
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
452-8
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Prediction of microRNA targets.
pubmed:affiliation
Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
pubmed:publicationType
Journal Article, Review