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Identifying the most suitable endogenous control for determining gene expression in hearts from organ donors.


ABSTRACT: BACKGROUND: Quantitative real-time reverse transcription PCR (qRT-PCR) is a useful tool for assessing gene expression in different tissues, but the choice of adequate controls is critical to normalise the results, thereby avoiding differences and maximizing sensitivity and accuracy. So far, many genes have been used as a single reference gene, without having previously verified their value as controls. This practice can lead to incorrect conclusions and recent evidence indicates a need to use the geometric mean of data from several control genes. Here, we identified an appropriate set of genes to be used as an endogenous reference for quantifying gene expression in human heart tissue. RESULTS: Our findings indicate that out of ten commonly used reference genes (GADPH, PPIA, ACTB, YWHAZ, RRN18S, B2M, UBC, TBP, RPLP and HPRT), PPIA, RPLP and GADPH show the most stable gene transcription levels in left ventricle specimens obtained from organ donors, as assessed using geNorm and Normfinder software. The expression of TBP was found to be highly regulated. CONCLUSION: We propose the use of PPIA, RPLP and GADPH as reference genes for the accurate normalisation of qRT-PCR performed on heart tissue. TBP should not be used as a control in this type of tissue.

SUBMITTER: Perez S 

PROVIDER: S-EPMC2234425 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature

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Identifying the most suitable endogenous control for determining gene expression in hearts from organ donors.

Pérez Silvia S   Royo Luis J LJ   Astudillo Aurora A   Escudero Dolores D   Alvarez Francisco F   Rodríguez Aida A   Gómez Enrique E   Otero Jesús J  

BMC molecular biology 20071220


<h4>Background</h4>Quantitative real-time reverse transcription PCR (qRT-PCR) is a useful tool for assessing gene expression in different tissues, but the choice of adequate controls is critical to normalise the results, thereby avoiding differences and maximizing sensitivity and accuracy. So far, many genes have been used as a single reference gene, without having previously verified their value as controls. This practice can lead to incorrect conclusions and recent evidence indicates a need to  ...[more]

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