Linked Life Data

19752599

Source:http://linkedlifedata.com/resource/pubmed/id/19752599

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2009-9-15
pubmed:abstractText
In biological research, quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) assays are commonly employed to study mRNA abundance in cells and tissues. This type of assay usually relies on assessing transcript abundance relative to constitutively expressed endogenous reference genes. Therefore, it is important that the reference genes themselves are stably expressed in the cells or tissues analyzed, independent of factors such as age, sex, disease or experimental manipulations. Since no gene is expressed at the same level in all cells at all times, suitable reference genes must be identified for the specific cellular system or tissue being investigated. Here, we sought to identify stably expressed endogenous reference genes during embryonic gonad development in the mouse. We measured the transcript abundance of 10 frequently employed normalizing genes, of which 4 were stably expressed in fetal gonads from 11.5 to 14.5 dpc irrespective of sex. Based on our analysis, we suggest that Rn18s, Rps29, Tbp and Sdha are suitable reference genes for qRT-PCR expression studies during early gonad differentiation in the mouse.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1661-5433
pubmed:author
pubmed:copyrightInfo
(c) 2009 S. Karger AG, Basel.
pubmed:issnType
Electronic
pubmed:volume
3
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
194-204
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Identification of suitable normalizing genes for quantitative real-time RT-PCR analysis of gene expression in fetal mouse gonads.
pubmed:affiliation
Division of Molecular Genetics and Development, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Qld., Australia.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't