Selecting control genes for RT-QPCR using public microarray data-Reference-Cited by-同舟云学术

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Selecting control genes for RT-QPCR using public microarray data

Published:2009-02-02 Issue:1 Volume:10 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Popovici Vlad,Goldstein Darlene R,Antonov Janine,Jaggi Rolf,Delorenzi Mauro,Wirapati Pratyaksha

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-10-42.pdf

Reference18 articles.

1. Andersen CL, Jensen JL, Ørntoft TF: Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Research 2004, 64(15):5245–5250. 10.1158/0008-5472.CAN-04-0496

2. Vandesompele J, Preter KD, Pattyn F, Poppe B, Roy NV, Paepe AD, Speleman F: Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biology 2002, 3(7):RESEARCH0034. 10.1186/gb-2002-3-7-research0034

3. Yan HZ, Liou RF: Selection of internal control genes for real-time quantitative RT-PCR assays in the oomycete plant pathogen Phytophthora parasitica. Fungal Genet Biol 2006, 43(6):430–438. 10.1016/j.fgb.2006.01.010

4. de Kok JB, Roelofs RW, Giesendorf BA, Pennings JL, Waas ET, Feuth T, Swinkels DW, Span PN: Normalization of gene expression measurements in tumor tissues: comparison of 13 endogenous control genes. Laboratory Investigations 2005, 85: 154–159.

5. de Jonge HJM, Fehrmann RSN, de Bont ESJM, Hofstra RMW, Gerbens F, Kamps WA, de Vries EGE, Zee AGJ, te Meerman GJ, ter Elst A: Evidence based selection of housekeeping genes. PLoS ONE 2007, 2(9):e898. 10.1371/journal.pone.0000898

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