ArticleScientific reports2020
Selection and evaluation of appropriate reference genes for RT-qPCR based expression analysis in Candida tropicalis following azole treatment.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 36 citations in OpenAlex.
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- [Molecular Epidemiology and Fluconazole Resistance Mechanisms inSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
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- Galactose Inhibits the Translation of Erg1 that Enhances the Antifungal Activities of Azoles AgainstAntibiotics (Basel, Switzerland) · 2025Article
- Azole Resistance andJournal of fungi (Basel, Switzerland) · 2025Article
- Optogenetic Control of Phosphate-Responsive Genes Using Single-Component Fusion Proteins inACS synthetic biology · 2024Article
- Optogenetic control of phosphate-responsive genes using single component fusion proteins inbioRxiv : the preprint server for biology · 2024Article
- Reference genes to study the sex-biased expression of genes regulating Drosophila metabolism.Scientific reports · 2024Article
- Article
- Genome-Wide Screening and Stability Verification of the Robust Internal Control Genes for RT-qPCR in Filamentous Fungi.Journal of fungi (Basel, Switzerland) · 2022Article
- Mechanisms of azole antifungal resistance in clinical isolates of Candida tropicalis.PloS one · 2022Article
- Candida tropicalis distribution and drug resistance is correlated with ERG11 and UPC2 expression.Antimicrobial resistance and infection control · 2021Article
- Identification of suitable reference genes for mesenchymal stem cells from menstrual blood of women with endometriosis.Scientific reports · 2021Article
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Authors and funding
5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
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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