Unknown

Dataset Information

Genome-wide identification of the context-dependent sRNA expression in Mycobacterium tuberculosis.


ABSTRACT: BACKGROUND:Tuberculosis remains one of the leading causes of morbidity and mortality worldwide. Therefore, understanding the pathophysiology of Mycobacterium tuberculosis is imperative for developing new drugs. Post-transcriptional regulation plays a significant role in microbial adaptation to different growth conditions. While the proteins associated with gene expression regulation have been extensively studied in the pathogenic strain M. tuberculosis H37Rv, post-transcriptional regulation involving small RNAs (sRNAs) remains poorly understood. RESULTS:We developed a novel moving-window based approach to detect sRNA expression using RNA-Seq data. Overlaying ChIP-seq data of RNAP (RNA Polymerase) and NusA suggest that these putative sRNA coding regions are significantly bound by the transc

SUBMITTER: Ami VKG 

PROVIDER: S-EPMC7029489 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature