Literature DB >> 29036603

Identification of optimal reference genes for transcriptomic analyses in normal and diseased human heart.

Cristina E Molina1,2,3, Eric Jacquet4, Prishila Ponien4, Christian Muñoz-Guijosa5, Istvan Baczkó6, Lars S Maier7, Patrick Donzeau-Gouge8, Dobromir Dobrev9, Rodolphe Fischmeister1, Anne Garnier1.   

Abstract

Aims: Quantitative real-time RT-PCR (RT-qPCR) has become the method of choice for mRNA quantification, but requires an accurate normalization based on the use of reference genes showing invariant expression across various pathological conditions. Only few data exist on appropriate reference genes for the human heart. The objective of this study was to determine a set of suitable reference genes in human atrial and ventricular tissues, from right and left cavities in control and in cardiac diseases. Methods and results: We assessed the expression of 16 reference genes (ACTB, B2M, GAPDH, GUSB, HMBS, HPRT1, IPO8, PGK1, POLR2A, PPIA, RPLP0, TBP, TFRC, UBC, YWHAZ, 18S) in tissues from: right and left ventricles from healthy controls and heart failure (HF) patients; right-atrial tissue from patients in sinus rhythm with (SRd) or without (SRnd) atrial dilatation, patients with paroxysmal (pAF) or chronic (cAF) atrial fibrillation or with HF; and left-atrial tissue from patients in SR or cAF. Consensual analysis (by geNorm and Normfinder algorithms, BestKeeper software tool and comparative delta-Ct method) of the variability scores obtained for each reference gene expression shows that the most stably expressed genes are: GAPDH, GUSB, IPO8, POLR2A, and YWHAZ when comparing either right and left ventricle or ventricle from healthy controls and HF patients; GAPDH, IPO8, POLR2A, PPIA, and RPLP0 when comparing either right and left atrium or right atria from all pathological groups. ACTB, TBP, TFRC, and 18S genes were identified as the least stable. Conclusions: The overall most stable reference genes across different heart cavities and disease conditions were GAPDH, IPO8, POLR2A and PPIA. YWHAZ or GUSB could be added to this set for some specific experiments. This study should provide useful guidelines for reference gene selection in RT-qPCR studies in human heart. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author 2017. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Atrial fibrillation; Atrium; Heart failure; Human heart; Quantitative real-time polymerase chain reaction; Reference genes; Ventricle

Mesh:

Substances:

Year:  2018        PMID: 29036603     DOI: 10.1093/cvr/cvx182

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  16 in total

1.  Selection of reference genes for quantitative PCR: identifying reference genes for airway epithelial cells exposed to Pseudomonas aeruginosa.

Authors:  Thomas H Hampton; Katja Koeppen; Laura Bashor; Bruce A Stanton
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2020-06-10       Impact factor: 5.464

2.  Expression of Genes and Proteins of the Sarcoplasmic Reticulum Са2+-Transport Systems in Cardiomyocytes in Concomitant Coronary Heart Disease and Type 2 Diabetes Mellitus.

Authors:  S A Afanas'ev; D S Kondrat'eva; E F Muslimova; О V Budnikova; Sh D Akhmedov; B N Kozlov
Journal:  Bull Exp Biol Med       Date:  2021-12-02       Impact factor: 0.804

3.  Developmental changes in cardiac expression of KCNQ1 and SCN5A spliceoforms: Implications for sudden unexpected infant death.

Authors:  Alexandra F Williams; Audra F Bryan; Kelsey Tomasek; Carlos A Fulmer; Kyle Gregory; Cole Bozeman; Feng Li; Tarek S Absi; Yan Ru Su; Prince J Kannankeril
Journal:  Heart Rhythm       Date:  2021-11-26       Impact factor: 6.343

4.  Identification of qPCR reference genes suitable for normalizing gene expression in the mdx mouse model of Duchenne muscular dystrophy.

Authors:  John C W Hildyard; Amber M Finch; Dominic J Wells
Journal:  PLoS One       Date:  2019-01-30       Impact factor: 3.240

5.  Selecting reference genes in RT-qPCR based on equivalence tests: a network based approach.

Authors:  Emmanuel Curis; Calypso Nepost; Diane Grillault Laroche; Cindie Courtin; Jean-Louis Laplanche; Bruno Etain; Cynthia Marie-Claire
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

6.  Disruption of cardiac thin filament assembly arising from a mutation in LMOD2: A novel mechanism of neonatal dilated cardiomyopathy.

Authors:  Rebecca C Ahrens-Nicklas; Christopher T Pappas; Gerrie P Farman; Rachel M Mayfield; Tania M Larrinaga; Livija Medne; Alyssa Ritter; Ian D Krantz; Chaya Murali; Kimberly Y Lin; Justin H Berger; Sabrina W Yum; Chrystalle Katte Carreon; Carol C Gregorio
Journal:  Sci Adv       Date:  2019-09-04       Impact factor: 14.136

7.  Small Conductance Ca2 +-Activated K+ (SK) Channel mRNA Expression in Human Atrial and Ventricular Tissue: Comparison Between Donor, Atrial Fibrillation and Heart Failure Tissue.

Authors:  Elisa Darkow; Thong T Nguyen; Marina Stolina; Fabian A Kari; Constanze Schmidt; Felix Wiedmann; István Baczkó; Peter Kohl; Sridharan Rajamani; Ursula Ravens; Rémi Peyronnet
Journal:  Front Physiol       Date:  2021-04-01       Impact factor: 4.566

8.  Selection and stability validation of reference gene candidates for transcriptional analysis in Rousettus aegyptiacus.

Authors:  Virginia Friedrichs; Anne Balkema-Buschmann; Anca Dorhoi; Gang Pei
Journal:  Sci Rep       Date:  2021-11-04       Impact factor: 4.379

9.  Validation of Housekeeping Genes as Reference for Reverse-Transcription-qPCR Analysis in Busulfan-Injured Microvascular Endothelial Cells.

Authors:  Wen Ju; Alhaji Osman Smith; Tiantian Sun; Pingping Zhao; Yan Jiang; Lu Liu; Ting Zhang; Kunming Qi; Jianlin Qiao; Kailin Xu; Lingyu Zeng
Journal:  Biomed Res Int       Date:  2018-10-02       Impact factor: 3.411

10.  Selection and validation of reference genes for measuring gene expression in Toona ciliata under different experimental conditions by quantitative real-time PCR analysis.

Authors:  Huiyun Song; Wenmai Mao; Zhihao Duan; Qingmin Que; Wei Zhou; Xiaoyang Chen; Pei Li
Journal:  BMC Plant Biol       Date:  2020-10-01       Impact factor: 4.215

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