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  • 标题:Selection and evaluation of appropriate reference genes for RT-qPCR based expression analysis in Candida tropicalis following azole treatment
  • 本地全文:下载
  • 作者:Saikat Paul ; Shreya Singh ; Arunaloke Chakrabarti
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2020
  • 卷号:10
  • 期号:1
  • 页码:1-11
  • DOI:10.1038/s41598-020-58744-7
  • 出版社:Springer Nature
  • 摘要:Candida tropicalis arises as one of the predominant non- Candida albicans   Candida  (NCAC) species causing invasive candidiasis in Asian countries. A rise in reports of C. tropicalis with a parallel increase in fluconazole resistance has also been observed. The genes and underlying pathways associated with azole antifungal resistance in C. tropicalis is still not properly understood. The RT-qPCR is the most promising approach for expression analysis of target genes to understand the mechanisms of resistance. The reliability and reproducibility of this technique depend on the selection of suitable reference genes for the normalization in expression study. The present study investigated the expression stability levels of ten genes including ACT1 , EF1 , GAPDH , PGK1 , RDN5.8 , RDN18 , RDN28 , SDHA , TUB1 , and UBC13 for their suitability in fluconazole treated/untreated C. tropicalis . The stability levels of these genes were examined by the ∆∆CT, ΔCT, Pfaffl methods and five independent software including hkgFinder, geNorm, NormFinder, BestKeeper, and RefFinder software. We report, the EF1 and ACT1 were the most stable reference genes for normalization and can be used for the gene expression analysis in C. tropicalis . To the best of our knowledge, our study is the first to select and validate the reference genes in C. tropicalis for RT-qPCR based expression analysis.
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