Identification of Key CircRNAs Related to Pulmonary Tuberculosis Based on Bioinformatics Analysis

• Published in: BioMed research international Vol. 2022; pp. 1717784 - 15
• Main Authors: Yuan, Qin, Wen, Zilu, Yang, Ke, Zhang, Shulin, Zhang, Ning, Song, Yanzheng, Chen, Fuxue
• Format: Journal Article
• Language: English
• Published: United States Hindawi 04.04.2022; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Bioinformatics; Biomarkers; Cdc4 protein; Chromosome 5; Computational Biology; Diagnosis; Encyclopedias; Factor analysis; Feature selection; Gene expression; Gene Expression Profiling; Gene Regulatory Networks; Genes; Genomes; Hepatitis; Humans; Identification and classification; Infectious diseases; Learning algorithms; Lung cancer; Machine learning; Medical diagnosis; Metabolism; MicroRNAs - genetics; MicroRNAs - metabolism; miRNA; Patients; Protein interaction; Proteins; Pulmonary tuberculosis; Regulatory mechanisms (biology); RNA; RNA, Circular - genetics; RNA, Messenger - genetics; RNA, Messenger - metabolism; Tuberculosis; Tuberculosis, Pulmonary - genetics; China

Pulmonary tuberculosis (TB) is a chronic infectious disease that is caused by respiratory infections, principally Mycobacterium tuberculosis. Increasingly, studies have shown that circular (circ)RNAs play regulatory roles in different diseases through different mechanisms. However, their roles and p...