{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["6(8)"],"submitter":["Everaert BR"],"pubmed_abstract":["<h4>Background</h4>Quantitative real-time PCR (qPCR) is a widely used technique for gene expression analysis. Its reliability is highly dependent upon selection of the appropriate reference genes for accurate gene expression normalization. In this study, we investigated the expression stability of 10 commonly used reference genes in a mouse myocardial infarction model.<h4>Methods & results</h4>The expression stability of the 10 reference genes (Actb, B2m, Eef1a1, Gapdh, Hprt, Polr2a, Ppia, Rpl13a, Tbp, Tpt1) was analyzed using the geNorm software. Overall, the combination of Hprt, Rpl13a and Tpt1 was the most stable reference gene set in our experiments. Gapdh, Polr2a and Actb consistently showed the highest gene expression variability and the expression levels of Gapdh, Polr2a, Actb, B2m "],"journal":["PloS one"],"pagination":["e23793"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC3157472"],"repository":["biostudies-literature"],"pubmed_title":["Importance of suitable reference gene selection for quantitative real-time PCR: special reference to mouse myocardial infarction studies."],"pmcid":["PMC3157472"],"pubmed_authors":["Boulet GA","Everaert BR","Vrints CJ","Timmermans JP"],"additional_accession":[]},"is_claimable":false,"name":"Importance of suitable reference gene selection for quantitative real-time PCR: special reference to mouse myocardial infarction studies.","description":"<h4>Background</h4>Quantitative real-time PCR (qPCR) is a widely used technique for gene expression analysis. Its reliability is highly dependent upon selection of the appropriate reference genes for accurate gene expression normalization. In this study, we investigated the expression stability of 10 commonly used reference genes in a mouse myocardial infarction model.<h4>Methods & results</h4>The expression stability of the 10 reference genes (Actb, B2m, Eef1a1, Gapdh, Hprt, Polr2a, Ppia, Rpl13a, Tbp, Tpt1) was analyzed using the geNorm software. Overall, the combination of Hprt, Rpl13a and Tpt1 was the most stable reference gene set in our experiments. Gapdh, Polr2a and Actb consistently showed the highest gene expression variability and the expression levels of Gapdh, Polr2a, Actb, B2m ","dates":{"release":"2011-01-01T00:00:00Z","publication":"2011","modification":"2026-05-04T02:36:03.92Z","creation":"2019-03-26T23:07:40Z"},"accession":"S-EPMC3157472","cross_references":{"pubmed":["21858224"],"doi":["10.1371/journal.pone.0023793"]}}