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Instability of standard PCR reference genes in adipose-derived stem cells during propagation, differentiation and hypoxic exposure

Overview of attention for article published in BMC Molecular and Cell Biology, October 2008
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Title
Instability of standard PCR reference genes in adipose-derived stem cells during propagation, differentiation and hypoxic exposure
Published in
BMC Molecular and Cell Biology, October 2008
DOI 10.1186/1471-2199-9-98
Pubmed ID
Authors

Trine Fink, Pia Lund, Linda Pilgaard, Jeppe Grøndahl Rasmussen, Meg Duroux, Vladimir Zachar

Abstract

For the accurate determination of gene expression changes during growth and differentiation studies on adipose-derived stem cells (ASCs), quantitative real-time RT-PCR has become a method of choice. The technology is very sensitive, however, without a proper selection of reference genes, to which the genes of interest are normalized, erroneous results may be obtained. In this study, we have compared the gene expression levels of a panel of twelve widely used reference genes during hypoxic culture, osteogenic and chondrogenic differentiation, and passaging of primary human ASCs. We found that several of the commonly used reference genes including 18S rRNA, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and beta-actin were unsuitable for normalization in the conditions we tested, whereas tyrosine 3/tryptophan 5-monooxygenase activation protein (YMHAZ), TATAA-box binding protein (TBP), beta-glucuronidase (GUSB) were the most stable across all conditions. When determining gene expression levels in adipose-derived stem cells, we recommend normalizing transcription levels to the geometric mean of YMHAZ, TBP and GUSB.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 2 1%
France 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
India 1 <1%
Greece 1 <1%
Denmark 1 <1%
Unknown 148 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 29%
Student > Bachelor 29 18%
Student > Master 23 15%
Researcher 15 9%
Professor > Associate Professor 11 7%
Other 22 14%
Unknown 12 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 42%
Medicine and Dentistry 33 21%
Biochemistry, Genetics and Molecular Biology 19 12%
Engineering 8 5%
Immunology and Microbiology 3 2%
Other 8 5%
Unknown 21 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2016.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from BMC Molecular and Cell Biology
#935
of 1,233 outputs
Outputs of similar age
#96,708
of 104,769 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#25
of 27 outputs
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