19189975

Source:http://linkedlifedata.com/resource/pubmed/id/19189975

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0001811, umls-concept:C0205214, umls-concept:C0920317, umls-concept:C1519316, umls-concept:C1956267
pubmed:issue	7
pubmed:dateCreated	2009-3-26
pubmed:abstractText	Numerous microarray studies of aging have been conducted, yet given the noisy nature of gene expression changes with age, elucidating the transcriptional features of aging and how these relate to physiological, biochemical and pathological changes remains a critical problem.
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pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9808944
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Apr
pubmed:issn	1367-4811
pubmed:author	pubmed-author:ChurchGeorge MGM, pubmed-author:CuradoJoãoJ, pubmed-author:de MagalhãesJoão PedroJP
pubmed:issnType	Electronic
pubmed:day	1
pubmed:volume	25
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	875-81
pubmed:dateRevised	2010-9-23
pubmed:meshHeading	pubmed-meshheading:19189975-Aging, pubmed-meshheading:19189975-Animals, pubmed-meshheading:19189975-Gene Expression Profiling, pubmed-meshheading:19189975-Humans, pubmed-meshheading:19189975-Mice, pubmed-meshheading:19189975-Rats, pubmed-meshheading:19189975-Transcription, Genetic
pubmed:year	2009
pubmed:articleTitle	Meta-analysis of age-related gene expression profiles identifies common signatures of aging.
pubmed:affiliation	Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. jp@senescence.info
pubmed:publicationType	Journal Article, Meta-Analysis, Research Support, N.I.H., Extramural