biostudies-literatureUnknown15(1)Bai R<h4>Background</h4>Acquired immunodeficiency syndrome (AIDS) is a chronic infectious disease characterized by consistent immune dysfunction. The objective of this study is to determine whether immune cell-related genes can be used as biomarkers for the occurrence of AIDS and potential molecular mechanisms.<h4>Methods</h4>A weighted gene co-expression network analysis was performed using the GSE6740 dataset from the Gene Expression Synthesis Database to identify the Hub gene, which contained microarray data from HIV-1 positive (HIV-1⁺) and HIV-1 negative (HIV-1^-) individuals. The HIV-1⁺-related differentially expressed genes were then identified using the limma package. Subsequently, the characteristic immune cell-related genes were identified as diagnostic BMC medical genomics200https://www.ebi.ac.uk/biostudies/studies/S-EPMC9484082biostudies-literatureExploring the biological function of immune cell-related genes in human immunodeficiency virus (HIV)-1 infection based on weighted gene co-expression network analysis (WGCNA).PMC9484082Bai RLi ZDai LHua WLv SWu HfalseExploring the biological function of immune cell-related genes in human immunodeficiency virus (HIV)-1 infection based on weighted gene co-expression network analysis (WGCNA).<h4>Background</h4>Acquired immunodeficiency syndrome (AIDS) is a chronic infectious disease characterized by consistent immune dysfunction. The objective of this study is to determine whether immune cell-related genes can be used as biomarkers for the occurrence of AIDS and potential molecular mechanisms.<h4>Methods</h4>A weighted gene co-expression network analysis was performed using the GSE6740 dataset from the Gene Expression Synthesis Database to identify the Hub gene, which contained microarray data from HIV-1 positive (HIV-1⁺) and HIV-1 negative (HIV-1^-) individuals. The HIV-1⁺-related differentially expressed genes were then identified using the limma package. Subsequently, the characteristic immune cell-related genes were identified as diagnostic 2022-01-01T00:00:00Z2022 Sep2025-05-18T13:41:43.596Z2024-12-04T03:42:26.132ZS-EPMC94840823612369010.1186/s12920-022-01357-y