Dataset Information

Identification of differentially expressed genes and signaling pathways with Candida infection by bioinformatics analysis.

ABSTRACT:

Background

Opportunistic Candida species causes severe infections when the human immune system is weakened, leading to high mortality.

Methods

In our study, bioinformatics analysis was used to study the high-throughput sequencing data of samples infected with four kinds of Candida species. And the hub genes were obtained by statistical analysis.

Results

A total of 547, 422, 415 and 405 differentially expressed genes (DEGs) of Candida albicans, Candida glabrata, Candida parapsilosis and Candida tropicalis groups were obtained, respectively. A total of 216 DEGs were obtained after taking intersections of DEGs from the four groups. A protein-protein interaction (PPI) network was established using these 216 genes. The top 10 hub genes (FOSB, EGR1, JUNB, ATF3, EGR2, NR4A1, NR4A2, DUSP1, BTG2, and EGR3) were acquired through calculation by the cytoHubba plug-in in Cytoscape software. Validated by the sequencing data of peripheral blood, JUNB, ATF3 and EGR2 genes were significant statistical significance.

Conclusions

In conclusion, our study demonstrated the potential pathogenic genes in Candida species and their underlying mechanisms by bioinformatic analysis methods. Further, after statistical validation, JUNB, ATF3 and EGR2 genes were attained, which may be used as potential biomarkers with Candida species infection.

SUBMITTER: Zhu GD

PROVIDER: S-EPMC8935812 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Publications

Identification of differentially expressed genes and signaling pathways with Candida infection by bioinformatics analysis.

Zhu Guo-Dong GD Xie Li-Min LM Su Jian-Wen JW Cao Xun-Jie XJ Yin Xin X Li Ya-Ping YP Gao Yuan-Mei YM Guo Xu-Guang XG

European journal of medical research 20220321 1

<h4>Background</h4>Opportunistic Candida species causes severe infections when the human immune system is weakened, leading to high mortality.<h4>Methods</h4>In our study, bioinformatics analysis was used to study the high-throughput sequencing data of samples infected with four kinds of Candida species. And the hub genes were obtained by statistical analysis.<h4>Results</h4>A total of 547, 422, 415 and 405 differentially expressed genes (DEGs) of Candida albicans, Candida glabrata, Candida para ...[more]

PMID: 35314002

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Dataset Information

Identification of differentially expressed genes and signaling pathways with Candida infection by bioinformatics analysis.

Background

Methods

Results

Conclusions

Publications

Identification of differentially expressed genes and signaling pathways with Candida infection by bioinformatics analysis.

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