Portrait of Matrix Gene Expression in Candida glabrata Biofilms with Stress Induced by Different Drugs.
Celia Fortuna RodriguesMariana HenriquesPublished in: Genes (2018)
(1) Background: Candida glabrata is one of the most significant Candida species associated with severe cases of candidiasis. Biofilm formation is an important feature, closely associated with antifungal resistance, involving alterations of gene expression or mutations, which can result in the failure of antifungal treatments. Hence, the main goal of this work was to evaluate the role of a set of genes, associated with matrix production, in the resistance of C. glabrata biofilms to antifungal drugs. (2) Methods: the determination of the expression of BGL2, XOG1, FKS1, FKS2, GAS2, KNH1, UGP1, and MNN2 genes in 48-h biofilm's cells of three C. glabrata strains was performed through quantitative real-time PCR (RT-qPCR), after contact with Fluconazole (Flu), Amphotericin B (AmB), Caspofungin (Csf), or Micafungin (Mcf). (3) Results: Mcf induced a general overexpression of the selected genes. It was verified that the genes related to the production of β-1,3-glucans (BGL2, XOG1, GAS2) had the highest expressions. (4) Conclusion: though β-1,6-glucans and mannans are an essential part of the cell and biofilm matrix, C. glabrata biofilm cells seem to contribute more to the replacement of β-1,3-glucans. Thus, these biopolymers seem to have a greater impact on the biofilm matrix composition and, consequently, a role in the biofilm resistance to antifungal drugs.
Keyphrases
- candida albicans
- biofilm formation
- gene expression
- induced apoptosis
- genome wide
- dna methylation
- cell cycle arrest
- drug induced
- bioinformatics analysis
- breast cancer cells
- genome wide identification
- poor prognosis
- real time pcr
- cell proliferation
- room temperature
- escherichia coli
- pseudomonas aeruginosa
- endoplasmic reticulum stress
- signaling pathway
- high glucose
- transcription factor
- endothelial cells
- machine learning
- single cell
- cell death
- high resolution
- cell therapy
- oxidative stress
- staphylococcus aureus
- deep learning
- cystic fibrosis
- mass spectrometry
- early onset
- heat stress
- stress induced
- long non coding rna