Literature DB >> 28090788

Selection of suitable reference genes for quantitative real-time PCR in trabecular meshwork cells under oxidative stress.

Jing Zhao1,2, HongYan Zhou2, Lixia Sun1, Ben Yang2, Lin Zhang2, Hongfeng Shi3, Yajuan Zheng1.   

Abstract

Oxidative stress-induced dysfunction in trabecular meshwork (TM) cells is considered a major alteration that can lead to glaucoma. Hydrogen peroxide (H2O2) is the most widely used agent for inducing oxidation in TM cells in vitro. Quantitative real-time PCR (qPCR) is an important method for studying alterations in gene expression, and suitable (i.e. invariant) reference genes must be defined to normalize expression levels. In this study, eight common reference genes, i.e. PRS18, ACTB, B2M, GAPDH, PPIA, HPRT1, YWHAZ, and TBP, were evaluated for use in studies of H2O2-induced dysfunction in TM cells. Three established algorithms, geNorm, NormFinder, and BestKeeper, were used to analyze the reference genes. ACTB expression was least affected by H2O2 treatment in TM cells, and the combination of PPIA and HPRT1 was the most suitable gene pair for normalization. GAPDH and TBP were the most unstable genes and accordingly should be avoided in experiments with TM cells. These results provide a foundation for analyses of the mechanisms underlying glaucoma, and emphasize the importance of selecting suitable reference genes for qPCR studies.

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Keywords:  H2O2; Oxidative stress; glaucoma; reference gene; trabecular meshwork cell

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Year:  2017        PMID: 28090788     DOI: 10.1080/10715762.2017.1282612

Source DB:  PubMed          Journal:  Free Radic Res        ISSN: 1029-2470


  1 in total

1.  A Multi-Locus Genetic Risk Score for Primary Open-Angle Glaucoma (POAG) Variants Is Associated with POAG Risk in a Mediterranean Population: Inverse Correlations with Plasma Vitamin C and E Concentrations.

Authors:  Vicente Zanon-Moreno; Carolina Ortega-Azorin; Eva M Asensio-Marquez; Jose J Garcia-Medina; Maria D Pinazo-Duran; Oscar Coltell; Jose M Ordovas; Dolores Corella
Journal:  Int J Mol Sci       Date:  2017-11-01       Impact factor: 5.923

  1 in total

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