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ABSTRACT
Mycobacterium tuberculosis is the causative pathogen of human tuberculosis and a leading cause of death worldwide attributed to a single infectious agent. While small non-coding RNAs (sRNAs) have emerged as key regulators of bacterial pathogenicity, their specific roles and mechanisms in M. tuberculosis remain poorly understood. Here, we employed label-free quantitative proteomics, parallel reaction monitoring, and sRNA-seq analyses to identify proteomic differences between the virulent H37Rv and attenuated H37Ra strains. Bioinformatic analysis revealed significant enrichment of differentially expressed proteins involved in lipid metabolism and fatty acid biosynthesis, key pathways linked to M. tuberculosis virulence. We identified a novel sRNA, ASpks2, which was significantly downregulated in H37Rv. Functional validation demonstrated that ASpks2 directly targets the polyketide synthase 2 (pks2), modulating its expression to enhance M. tuberculosis survival in human macrophages THP-1 cells. By correlating the omics data with functional studies, this study identified a novel sRNA and its regulatory network in M. tuberculosis, which provides novel insight into the molecular pathogenesis of M. tuberculosis and may serve as a basis for the development of targeted therapies.
Competing Interest Statement
The authors have declared no competing interest.
Abbreviations
- M. tuberculosis
- Mycobacterium tuberculosis
- sRNA
- small RNA
- ASpks2
- antisense stranded small RNA of pks2
- DEPs
- differentially expressed proteins
- LFQ
- label free quantification
- LC-MS/MS
- liquid chromatography-tandem mass spectrometry
- MS/MS
- tandem mass spectrometry
- DIA
- data-independent acquisition
- AUC
- area under the curve
- PRM
- parallel reaction monitoring
- PBS
- phosphate buffer saline
- FA
- formic acid
- PVDF
- polyvinylidene fluoride
- FC
- fold change
- FDR
- false discovery rate
- GO
- Gene ontology
- KEGG
- Kyoto Encyclopedia of Genes and Genomes
- AS
- antisense stranded
- IGR
- intergenic region
- CFU
- colony-forming unit
- MOI
- multiplicity of infection
- SD
- standard deviation
- SL-1
- Sulfolipid-1.
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