2015
DOI: 10.1038/srep15425
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Selection of suitable reference genes for normalization of quantitative RT-PCR in peripheral blood samples of bottlenose dolphins (Tursiops truncatus)

Abstract: Quantitative RT-PCR is often used as a research tool directed at gene transcription. Selection of optimal housekeeping genes (HKGs) as reference genes is critical to establishing sensitive and reproducible qRT-PCR-based assays. The current study was designed to identify the appropriate reference genes in blood leukocytes of bottlenose dolphins (Tursiops truncatus) for gene transcription research. Seventy-five blood samples collected from 7 bottlenose dolphins were used to analyze 15 candidate HKGs (ACTB, B2M, … Show more

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Cited by 25 publications
(28 citation statements)
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“…We applied only three most commonly-used softwares. However, according to previous studies6465, it’s possible that those methods could get similar results as in this study.…”
Section: Discussionsupporting
confidence: 71%
“…We applied only three most commonly-used softwares. However, according to previous studies6465, it’s possible that those methods could get similar results as in this study.…”
Section: Discussionsupporting
confidence: 71%
“…RPL13a and SDHA have been found to be valid reference genes in both T-cells and mixed leukocytes [7], while UBE2D2 was found to be the most stably expressed reference gene in different PBMC subsets of Multiple Sclerosis patients [16]. Finally, RPS18 was included as it has been shown to be fairly stable in PBMCs from other species [17] and in tumour neovascularization studies [18]. We compared these genes using four methods, each of which estimating stability and/or reliability in a slightly differ manner: geNorm [7] determines gene expression stability (ie.…”
Section: Genes Quantitative Pcrmentioning
confidence: 99%
“…Thirteen candidate RGs were analyzed under thirteen different developmental stages, seven different normal tissues and three challenged tissues with LPS. Besides six traditional RGs in amphioxus, the other seven candidate RGs were cyclophilin ( CYC )22, glucose 6-phosphate dehydrogenase ( G6PDH )23, hypoxanthine-guanine phosphoribosyltransferase ( HPRT )24, ribosomal protein L3 ( L3 )25, ribosomal protein L13 ( L13 )26, ribosomal protein S20 ( S20 )15 and TATA box binding protein ( TBP )27. Expression stability of RGs in qRT-PCR was evaluated with five algorithms (geNorm28, NormFinder29, BestKeeper30, deltaCt method31 and RefFinder32).…”
mentioning
confidence: 99%