Identifying the HIV-Resistance-Related Factors and Regulatory Network via Multi-Omics Analyses.

ABSTRACT: For research on HIV/AIDS, it is important to elucidate the complex viral-host interaction, host dependency factors (HDFs), and restriction factors. However, the regulatory network of HIV-resistance-related factors remains not well understood. Therefore, we integrated four publicly available HIV-related transcriptome datasets, along with three datasets on HIV-infection-related DNA methylation, miRNA, and ChIP-seq, to predict the factors influencing HIV resistance and infection. Our approach involved differential analysis, functional annotation, and protein-protein interaction network analysis. Through comprehensive analyses, we identified 25 potential HIV-resistance-related genes (including shared EGF) and 24 HIV-infection-related hub genes (including shared JUN). Additionally

SUBMITTER: Long X 

PROVIDER: S-EPMC11546959 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature