Screening of potential genes contributing to the macrocycle drug resistance of C. albicans via microarray analysis

Yang,Jing; Zhang,Wei; Sun,Jian; Xi,Zhiqin; Qiao,Zusha; Zhang,Jinyu; Wang,Yan; Ji,Ying; Feng,Wenli

doi:10.3892/mmr.2017.7562

Screening of potential genes contributing to the macrocycle drug resistance of C. albicans via microarray analysis

Authors:
- Jing Yang
- Wei Zhang
- Jian Sun
- Zhiqin Xi
- Zusha Qiao
- Jinyu Zhang
- Yan Wang
- Ying Ji
- Wenli Feng
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Affiliations: Department of Dermatovenereology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, P.R. China, Department of Nephrology, Heji Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi 046011, P.R. China, Department of Nephrology, Qingdao Municipal Hospital, Qingdao, Shandong 266071, P.R. China
Published online on: September 20, 2017 https://doi.org/10.3892/mmr.2017.7562
Pages: 7527-7533
Copyright: © Yang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The aim of the present study was to investigate the potential genes involved in drug resistance of Candida albicans (C. albicans) by performing microarray analysis. The gene expression profile of GSE65396 was downloaded from the Gene Expression Omnibus, including a control, 15‑min and 45‑min macrocyclic compound RF59‑treated group with three repeats for each. Following preprocessing using RAM, the differentially expressed genes (DEGs) were screened using the Limma package. Subsequently, the Kyoto Encyclopedia of Genes and Genomes pathways of these genes were analyzed using the Database for Annotation, Visualization and Integrated Discovery. Based on interactions estimated by the Search Tool for Retrieval of Interacting Gene, the protein‑protein interaction (PPI) network was visualized using Cytoscape. Subnetwork analysis was performed using ReactomeFI. A total of 154 upregulated and 27 downregulated DEGs were identified in the 15‑min treated group, compared with the control, and 235 upregulated and 233 downregulated DEGs were identified in the 45‑min treated group, compared with the control. The upregulated DEGs were significantly enriched in the ribosome pathway. Based on the PPI network, PRP5, RCL1, NOP13, NOP4 and MRT4 were the top five nodes in the 15‑min treated comparison. GIS2, URA3, NOP58, ELP3 and PLP7 were the top five nodes in the 45‑min treated comparison, and its subnetwork was significantly enriched in the ribosome pathway. The macrocyclic compound RF59 had a notable effect on the ribosome and its associated pathways of C. albicans. RCL1, NOP4, MRT4, GIS2 and NOP58 may be important in RF59‑resistance.

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