Reference gene alternatives to Gapdh in rodent and human heart failure gene expression studies

被引:76
作者
Brattelid, Trond [2 ,3 ]
Winer, Lisbeth H. [1 ,3 ]
Levy, Finn Olav [2 ,3 ]
Liestol, Knut [4 ]
Sejersted, Ole M. [1 ,3 ]
Andersson, Kristin B. [1 ,3 ]
机构
[1] Univ Oslo, Ulleval Hosp, Expt Med Res Inst, Oslo, Norway
[2] Univ Oslo, Dept Pharmacol, Oslo, Norway
[3] Univ Oslo, Fac Med, Ctr Heart Failure Res, Oslo, Norway
[4] Univ Oslo, Dept Informat, Oslo, Norway
来源
BMC MOLECULAR BIOLOGY | 2010年 / 11卷
关键词
POLYMERASE-CHAIN-REACTION; TRANSCRIPTION-PCR DATA; MESSENGER-RNA; RT-PCR; SEROTONIN; QUALITY; RAT; NORMALIZATION; DEGRADATION; VALIDATION;
D O I
10.1186/1471-2199-11-22
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background: Quantitative real-time RT-PCR (RT-qPCR) is a highly sensitive method for mRNA quantification, but requires invariant expression of the chosen reference gene(s). In pathological myocardium, there is limited information on suitable reference genes other than the commonly used Gapdh mRNA and 18S ribosomal RNA. Our aim was to evaluate and identify suitable reference genes in human failing myocardium, in rat and mouse post-myocardial infarction (post-MI) heart failure and across developmental stages in fetal and neonatal rat myocardium. Results: The abundance of Arbp, Rpl32, Rpl4, Tbp, Polr2a, Hprt1, Pgk1, Ppia and Gapdh mRNA and 18S ribosomal RNA in myocardial samples was quantified by RT-qPCR. The expression variability of these transcripts was evaluated by the geNorm and Normfinder algorithms and by a variance component analysis method. Biological variability was a greater contributor to sample variability than either repeated reverse transcription or PCR reactions. Conclusions: The most stable reference genes were Rpl32, Gapdh and Polr2a in mouse post-infarction heart failure, Polr2a, Rpl32 and Tbp in rat post-infarction heart failure and Rpl32 and Pgk1 in human heart failure ( ischemic disease and cardiomyopathy). The overall most stable reference genes across all three species was Rpl32 and Polr2a. In rat myocardium, all reference genes tested showed substantial variation with developmental stage, with Rpl4 as was most stable among the tested genes.
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页数:10
相关论文
共 29 条
[1]   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 [J].
Andersen, CL ;
Jensen, JL ;
Orntoft, TF .
CANCER RESEARCH, 2004, 64 (15) :5245-5250
[2]   Regulation of neuronal type genes in congestive heart failure rats [J].
Andersson, KB ;
Florholmen, G ;
Winer, LH ;
Tonnessen, T ;
Christensen, G .
ACTA PHYSIOLOGICA, 2006, 186 (01) :17-27
[3]   Chipping away at the chip bias: RNA degradation in microarray analysis [J].
Auer, H ;
Lyianarachchi, S ;
Newsom, D ;
Klisovic, MI ;
Marcucci, U ;
Kornacker, K .
NATURE GENETICS, 2003, 35 (04) :292-293
[4]   Functional serotonin 5-HT4 receptors in porcine and human ventricular myocardium with increased 5-HT4 mRNA in heart failure [J].
Brattelid, T ;
Qvigstad, E ;
Lynham, JA ;
Molenaar, P ;
Aass, H ;
Geiran, O ;
Skomedal, T ;
Osnes, JB ;
Levy, FO ;
Kaumann, AJ .
NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY, 2004, 370 (03) :157-166
[5]   Expression of mRNA encoding G protein-coupled receptors involved in congestive heart failure - A quantitative RT-PCR study and the question of normalisation [J].
Brattelid, Trond ;
Tveit, Kristine ;
Birkeland, Jon Arne K. ;
Sjaastad, Ivar ;
Qvigstad, Eirik ;
Krobert, Kurt Allen ;
Hussain, Rizwan I. ;
Skomedal, Tor ;
Osnes, Jan-Bjorn ;
Levy, Finn Olav .
BASIC RESEARCH IN CARDIOLOGY, 2007, 102 (03) :198-208
[6]   Quantitative real-time RT-PCR - a perspective [J].
Bustin, SA ;
Benes, V ;
Nolan, T ;
Pfaffl, MW .
JOURNAL OF MOLECULAR ENDOCRINOLOGY, 2005, 34 (03) :597-601
[7]   Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems [J].
Bustin, SA .
JOURNAL OF MOLECULAR ENDOCRINOLOGY, 2002, 29 (01) :23-39
[8]   Validation of rat reference genes for improved quantitative gene expression analysis using low density arrays [J].
Cai, Jenny Hong ;
Deng, Shibing ;
Kumpf, Steven W. ;
Lee, Patricia A. ;
Zagouras, Panayiotis ;
Ryan, Anne ;
Gallagher, Dan S. .
BIOTECHNIQUES, 2007, 42 (04) :503-512
[9]   Impact of RNA degradation on gene expression profiles:: Assessment of different methods to reliably determine RNA quality [J].
Copois, Virginie ;
Bibeau, Frederic ;
Bascoul-Mollevi, Caroline ;
Salvetat, Nicolas ;
Chalbos, Patrick ;
Bareil, Corinne ;
Candeil, Laurent ;
Fraslon, Caroline ;
Conseiller, Emmanuel ;
Granci, Virginie ;
Maziere, Pierre ;
Kramar, Andrew ;
Ychou, Marc ;
Pau, Bernard ;
Martineau, Pierre ;
Molina, Franck ;
Del Rio, Maguy .
JOURNAL OF BIOTECHNOLOGY, 2007, 127 (04) :549-559
[10]   The implications of using an inappropriate reference gene for real-time reverse transcription PCR data normalization [J].
Dheda, K ;
Huggett, JF ;
Chang, JS ;
Kim, LU ;
Bustin, SA ;
Johnson, MA ;
Rook, GAW ;
Zumla, A .
ANALYTICAL BIOCHEMISTRY, 2005, 344 (01) :141-143