ArticlePloS one2012
Validation of reference genes for the relative quantification of gene expression in human epicardial adipose tissue.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deciphering the sex bias in housekeeping gene expression in adipose tissue: a comprehensive meta-analysis of transcriptomic studies.Biology of sex differences · 2023Pooled it
- Comparative Evaluation of Computational Methods for Validating Housekeeping Gene RT-qPCR Data in 3T3-L1 Cells.Biomedicines · 2025Article
- Identifying and validating immunological biomarkers in obstructive sleep apnea through bioinformatics analysis.Scientific reports · 2025Article
- Genome-wide Methylation Dynamics and Context-dependent Gene Expression Variability in Differentiating Preadipocytes.Journal of the Endocrine Society · 2024Article
- LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions.International journal of molecular sciences · 2023Article
- Transcriptome-based selection and validation of optimal reference genes in perirenal adipose developing of goat (Frontiers in veterinary science · 2022Article
- Article
- Relationship Between Coronary Atheroma, Epicardial Adipose Tissue Inflammation, and Adipocyte Differentiation Across the Human Myocardial Bridge.Journal of the American Heart Association · 2021Article
- Reference gene selection for qRT-PCR analysis of season- and tissue-specific gene expression profiles in the honey bee Apis mellifera.Scientific reports · 2020Article
- High-Fat Diet Alters the Expression of Reference Genes in Male Mice.Frontiers in nutrition · 2020Article
- Plasma concentration and expression of adipokines in epicardial and subcutaneous adipose tissue are associated with impaired left ventricular filling pattern.Journal of translational medicine · 2019Article
- Identification of reference genes for quantitative PCR analyses in developing mouse gonads.The Journal of veterinary medical science · 2018Article
- Comprehensive evaluation of blood-brain barrier-forming micro-vasculatures: Reference and marker genes with cellular composition.PloS one · 2018Article
- Characterization of adipose tissue macrophages and adipose-derived stem cells in critical wounds.PeerJ · 2017Article
- Differences between perivascular adipose tissue surrounding the heart and the internal mammary artery: possible role for the leptin-inflammation-fibrosis-hypoxia axis.Clinical research in cardiology : official journal of the German Cardiac Society · 2016Article
- Important role of kallikrein 6 for the development of keratinocyte proliferative resistance to topical glucocorticoids.Oncotarget · 2016Article
- Selection of Reference Genes for Expression Studies of Xenobiotic Adaptation in Tetranychus urticae.International journal of biological sciences · 2016Article
- Article
- Identification and validation of suitable reference genes for RT-qPCR analysis in mouse testis development.Molecular genetics and genomics : MGG · 2014Article
- Validation of reference genes for RT-qPCR analysis of CYP4T expression in crucian carp.Genetics and molecular biology · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRelative quantification is a commonly used method for assessing gene expression, however its accuracy and reliability is dependent upon the choice of an optimal endogenous control gene, and such choice cannot be made a priori. There is limited information available on suitable reference genes to be used for studies involving human epicardial adipose tissue. The objective of the current study was to evaluate and identify optimal reference genes for use in the relative quantification of gene expression in human epicardial fat depots of lean, overweight and obese subjects. METHODOLOGY/PRINCIPAL
findingsSome of the commonly used reference genes including 18S, ACTB, RPL27, HPRT, CYCA, GAPDH, RPLPO, POLR2A and B2M were quantified using real-time PCR analysis. The expression stability of these genes was evaluated using Genorm, Normfinder and Bestkeeper algorithms. In addition, the effect of sample size on the validation process was studied by randomly categorizing subjects in two cohorts of n = 2 and n = 33. CONCLUSIONS/SIGNIFICANCE: CYCA, GAPDH and RPL27 were identified as the most stable genes common to all three algorithms and both sample sizes. Their use as reference gene pairs might contribute to the enhanced robustness of relative quantification in the studies involving the human epicardial adipose tissue.
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