Identifying optimal reference genes for real-time quantitative polymerase chain reaction in human myocardial tissues
2024

Identifying Optimal Reference Genes for Heart Tissue Studies

Sample size: 16 publication Evidence: high

Author Information

Author(s): Maria Camacho-Encina, Laura K Booth, Rachael V Redgrave, Minna Honkanen-Scott, William E Scott III, Carmen Martin-Ruiz, Guy MacGowan, Sarah Richardson, John Dark, Simon Tual-Chalot, Gavin D Richardson

Primary Institution: Newcastle University

Hypothesis

This study aimed to identify optimal reference genes for RT-qPCR normalization in human myocardial tissues across different states of senescence and disease.

Conclusion

The study recommends using EIF2B1 and IPO8 as stable reference genes for gene expression analysis in human myocardium.

Supporting Evidence

  • Only about 15% of published studies provide evidence that their chosen reference genes are stably expressed.
  • The ongoing reproducibility crisis underscores the critical role of reference gene choice in ensuring the reliability of molecular research outcomes.
  • Commonly used reference genes GAPDH, HPRT1, and ACTB were identified as relatively unstable between donors.
  • The top five most stable genes were identified using multiple algorithms, enhancing the reliability of gene expression analyses.

Takeaway

Researchers found two genes that help make sure tests on heart tissue are accurate, even when the samples come from different people with different health issues.

Methodology

Samples of left ventricular myocardium were obtained from 16 clinically declined donor hearts, and reference gene expression stability was analyzed using various algorithms.

Potential Biases

Potential coregulation of reference genes could lead to misidentification of stable genes.

Limitations

The study's findings may not be applicable to all populations due to the specific characteristics of the donor cohort.

Participant Demographics

The cohort was heterogeneous in demographics and clinical history, including various cardiovascular diseases.

Statistical Information

P-Value

0.002

Statistical Significance

p=0.002

Digital Object Identifier (DOI)

10.1093/cvr/cvae194

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