IRF1 as a potential biomarker in Mycobacterium tuberculosis infection

• Published in: Journal of cellular and molecular medicine Vol. 25; no. 15; pp. 7270 - 7279
• Main Authors: Wu, Liwei, Cheng, Qiliang, Wen, Zilu, Song, Yanzheng, Zhu, Yijun, Wang, Lin
• Format: Journal Article
• Language: English
• Published: England John Wiley & Sons, Inc 01.08.2021; John Wiley and Sons Inc
• Subjects: biomarker; Biomarkers; Biomarkers - metabolism; Cell activation; Cell adhesion; Cell adhesion & migration; Cytokines; Cytokines - metabolism; differentially expressed gene (DEG); DNA microarrays; Folic acid; Gene expression; Gene Regulatory Networks; Genomes; Health care; HIV; Human immunodeficiency virus; Humans; Infections; Interferon regulatory factor 1; Interferon Regulatory Factor-1 - genetics; Interferon Regulatory Factor-1 - metabolism; network analysis; Online data bases; Open source software; Original; protein; protein interaction; Protein Interaction Maps; Proteins; Public health; Statistical analysis; Transcription activation; Transcriptome; Tuberculosis; tuberculosis (TB); Tuberculosis, Pulmonary - genetics; Tuberculosis, Pulmonary - metabolism; Tuberculosis, Pulmonary - pathology; Up-Regulation; South Africa; differentially expressed gene (DEG); network analysis; protein interaction; biomarker; tuberculosis (TB); protein

Pulmonary tuberculosis (PTB) is a major global public health problem. The purpose of this study was to find biomarkers that can be used to diagnose tuberculosis. We used four NCBI GEO data sets to conduct analysis. Among the four data sets, GSE139825 is lung tissue microarray, and GSE83456, GSE19491...