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....
Main Authors: | Guo-Dong Zhu, Li-Min Xie, Jian-Wen Su, Xun-Jie Cao, Xin Yin, Ya-Ping Li, Yuan-Mei Gao, Xu-Guang Guo |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2022-03-01
|
Series: | European Journal of Medical Research |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40001-022-00651-w |
Similar Items
-
Transcriptomic meta-analysis to identify potential antifungal targets in Candida albicans
by: Zeinab Abdelmoghis Hefny, et al.
Published: (2024-02-01) -
Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
by: Praveenkumar Devarbhavi, et al.
Published: (2021-02-01) -
Circular RNAs: implications of signaling pathways and bioinformatics in human cancer
by: Fan Hu, et al.
Published: (2023-02-01) -
Identification of potential biomarkers and pivotal biological pathways for prostate cancer using bioinformatics analysis methods
by: Zihao He, et al.
Published: (2019-10-01) -
Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy
by: Cao J, et al.
Published: (2021-09-01)