Small RNA sequencing and bioinformatics analysis of RAW264.7-derived exosomes after Mycobacterium Bovis Bacillus Calmette-Guérin infection.
Small RNA sequencing and bioinformatics analysis of RAW264.7-derived exosomes after Mycobacterium Bovis Bacillus Calmette-Guérin infection.
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DOI:
10.1186/s12864-022-08590-w
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发表时间:
2022-05-07
期刊:
影响因子:
4.4
通讯作者:
中科院分区:
文献类型:
--
作者:
The mechanisms through which Mycobacterium tuberculosis evades immune surveillance during tuberculosis (TB) infection remain complex. Previous studies have found that Mycobacteria can manipulate the miRNAs of host cells to promote their survival during host-pathogen interactions, and most of these effects occur at the cellular miRNA level. We attempted to investigate the possible related mechanisms at the exosomal miRNA level. High-throughput sequencing revealed that Bacillus Calmette-Guérin (BCG) infection could alter the composition of the macrophage exosome content, and the expression levels of miRNAs in exosomes derived from the cell culture media of macrophages showed significant differences between the BCG-infected and non-infected groups. Compared with the non-infected group, 20 exosomal miRNAs were up-regulated and 7 exosomal miRNAs were down-regulated in the infection group (p < 0.05), of which mmu-miR-27b-3p, mmu-miR-93-5p, mmu-miR-25-3p, mmu-miR-1198-5p, mmu-let-7c-5p and let-7a-5p were significantly up-regulated. A bioinformatic analysis indicated that these differentially expressed exosomal miRNAs were involved in multiple biological processes and pathways. The target genes of top six miRNAs in up-regulated groups were positively correlated with the regulation of apoptosis. The expression profile of miRNA in exosomes derived from macrophage were altered after Mycobacterium Bovis Bacillus Calmette-Guérin infection, and the differentially expressed miRNAs were involved in multiple biological processes and signalling pathways. The top six up-regulated miRNAs and their targeted genes were predominantly correlated with the regulation of apoptosis.
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影响因子:
3.7
作者:
Chen WX;Liu XM;Lv MM;Chen L;Zhao JH;Zhong SL;Ji MH;Hu Q;Luo Z;Wu JZ;Tang JH
通讯作者:
Tang JH
影响因子:
48
作者:
Li T;Wernersson R;Hansen RB;Horn H;Mercer J;Slodkowicz G;Workman CT;Rigina O;Rapacki K;Stærfeldt HH;Brunak S;Jensen TS;Lage K
通讯作者:
Lage K
DOI:
10.1111/tra.12278
发表时间:
2015-06
期刊:
Traffic (Copenhagen, Denmark)
影响因子:
--
作者:
Singh PP;Li L;Schorey JS
通讯作者:
Schorey JS
影响因子:
8
作者:
通讯作者:
--
影响因子:
5
作者:
Alipoor SD;Adcock IM;Garssen J;Mortaz E;Varahram M;Mirsaeidi M;Velayati A
通讯作者:
Velayati A