Linked Life Data

16767105

Source:http://linkedlifedata.com/resource/pubmed/id/16767105

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7102
pubmed:dateCreated
2006-8-3
pubmed:abstractText
We present an integrated approach to identify genetic mechanisms that control self-renewal in mouse embryonic stem cells. We use short hairpin RNA (shRNA) loss-of-function techniques to downregulate a set of gene products whose expression patterns suggest self-renewal regulatory functions. We focus on transcriptional regulators and identify seven genes for which shRNA-mediated depletion negatively affects self-renewal, including four genes with previously unrecognized roles in self-renewal. Perturbations of these gene products are combined with dynamic, global analyses of gene expression. Our studies suggest specific biological roles for these molecules and reveal the complexity of cell fate regulation in embryonic stem cells.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1476-4687
pubmed:author
pubmed:issnType
Electronic
pubmed:day
3
pubmed:volume
442
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
533-8
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Dissecting self-renewal in stem cells with RNA interference.
pubmed:affiliation
Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA. nivanova@molbio.princeton.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural