Linked Life Data

19218833

Source:http://linkedlifedata.com/resource/pubmed/id/19218833

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2009-3-2
pubmed:abstractText
System analysis of metabolic network reconstructions can be used to calculate functional states or phenotypes. This provides tools to study the metabolic effects of genetic and epigenetic properties, such as dosage sensitivity. We used the genome-scale reconstruction of human metabolism (Recon 1) to analyze the effect of nine known or predicted imprinted genes on metabolic phenotypes. Simulations of maternal deletion of ATP10A indicated an anabolic metabolism consistent with the known clinical phenotypes of obesity. The abnormal expression of the other genes affected fewer subsections of metabolism consistent with a lack of established clinical phenotypes. We found that four of nine genes had metabolic effect as predicted by the Haig's parental conflict theory.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1559-2308
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
43-6
pubmed:dateRevised
2010-1-15
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Genome-scale network analysis of imprinted human metabolic genes.
pubmed:affiliation
Department of Biochemistry and Molecular Biology, University of Iceland, Reykjavik, Iceland.
pubmed:publicationType
Journal Article, Review