Cargando…
Identification of Unique Key miRNAs, TFs, and mRNAs in Virulent MTB Infection Macrophages by Network Analysis
Although Mycobacterium tuberculosis (MTB) has existed for thousands of years, its immune escape mechanism remains obscure. Increasing evidence signifies that microRNAs (miRNAs) play pivotal roles in the progression of tuberculosis (TB). RNA sequencing was used to sequence miRNAs in human acute monoc...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8745702/ https://www.ncbi.nlm.nih.gov/pubmed/35008808 http://dx.doi.org/10.3390/ijms23010382 |
_version_ | 1784630409282191360 |
---|---|
author | Zhu, Tingting Liu, Han Su, Li Dawood, Ali Hu, Changmin Chen, Xi Chen, Huanchun Chen, Yingyu Guo, Aizhen |
author_facet | Zhu, Tingting Liu, Han Su, Li Dawood, Ali Hu, Changmin Chen, Xi Chen, Huanchun Chen, Yingyu Guo, Aizhen |
author_sort | Zhu, Tingting |
collection | PubMed |
description | Although Mycobacterium tuberculosis (MTB) has existed for thousands of years, its immune escape mechanism remains obscure. Increasing evidence signifies that microRNAs (miRNAs) play pivotal roles in the progression of tuberculosis (TB). RNA sequencing was used to sequence miRNAs in human acute monocytic leukemia cells (THP-1) infected by the virulent MTB-1458 strain and the avirulent vaccine strain Mycobacterium bovis Bacillus Calmette-Guérin (BCG). Sets of differentially expressed miRNAs (DE-miRNAs) between MTB-1458/BCG-infected groups and uninfected groups were identified, among which 18 were differentially expressed only in the MTB-1458-infected THP-1 group. Then, 13 transcription factors (TFs) and 81 target genes of these 18 DE-miRNAs were matched. Gene Ontology classification as well as Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis showed that the candidate targets were predominantly involved in apoptotic-associated and interferon-γ-mediated signaling pathways. A TF-miRNA-mRNA interaction network was constructed to analyze the relationships among these 18 DE-miRNAs and their targets and TFs, as well as display the hub miRNAs, TFs, and target genes. Considering the degrees from network analysis and the reported functions, this study focused on the BHLHE40-miR-378d-BHLHE40 regulation axis and confirmed that BHLHE40 was a target of miR-378d. This cross-talk among DE-miRNAs, mRNAs, and TFs might be an important feature in TB, and the findings merited further study and provided new insights into immune defense and evasion underlying host-pathogen interactions. |
format | Online Article Text |
id | pubmed-8745702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87457022022-01-11 Identification of Unique Key miRNAs, TFs, and mRNAs in Virulent MTB Infection Macrophages by Network Analysis Zhu, Tingting Liu, Han Su, Li Dawood, Ali Hu, Changmin Chen, Xi Chen, Huanchun Chen, Yingyu Guo, Aizhen Int J Mol Sci Article Although Mycobacterium tuberculosis (MTB) has existed for thousands of years, its immune escape mechanism remains obscure. Increasing evidence signifies that microRNAs (miRNAs) play pivotal roles in the progression of tuberculosis (TB). RNA sequencing was used to sequence miRNAs in human acute monocytic leukemia cells (THP-1) infected by the virulent MTB-1458 strain and the avirulent vaccine strain Mycobacterium bovis Bacillus Calmette-Guérin (BCG). Sets of differentially expressed miRNAs (DE-miRNAs) between MTB-1458/BCG-infected groups and uninfected groups were identified, among which 18 were differentially expressed only in the MTB-1458-infected THP-1 group. Then, 13 transcription factors (TFs) and 81 target genes of these 18 DE-miRNAs were matched. Gene Ontology classification as well as Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis showed that the candidate targets were predominantly involved in apoptotic-associated and interferon-γ-mediated signaling pathways. A TF-miRNA-mRNA interaction network was constructed to analyze the relationships among these 18 DE-miRNAs and their targets and TFs, as well as display the hub miRNAs, TFs, and target genes. Considering the degrees from network analysis and the reported functions, this study focused on the BHLHE40-miR-378d-BHLHE40 regulation axis and confirmed that BHLHE40 was a target of miR-378d. This cross-talk among DE-miRNAs, mRNAs, and TFs might be an important feature in TB, and the findings merited further study and provided new insights into immune defense and evasion underlying host-pathogen interactions. MDPI 2021-12-29 /pmc/articles/PMC8745702/ /pubmed/35008808 http://dx.doi.org/10.3390/ijms23010382 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhu, Tingting Liu, Han Su, Li Dawood, Ali Hu, Changmin Chen, Xi Chen, Huanchun Chen, Yingyu Guo, Aizhen Identification of Unique Key miRNAs, TFs, and mRNAs in Virulent MTB Infection Macrophages by Network Analysis |
title | Identification of Unique Key miRNAs, TFs, and mRNAs in Virulent MTB Infection Macrophages by Network Analysis |
title_full | Identification of Unique Key miRNAs, TFs, and mRNAs in Virulent MTB Infection Macrophages by Network Analysis |
title_fullStr | Identification of Unique Key miRNAs, TFs, and mRNAs in Virulent MTB Infection Macrophages by Network Analysis |
title_full_unstemmed | Identification of Unique Key miRNAs, TFs, and mRNAs in Virulent MTB Infection Macrophages by Network Analysis |
title_short | Identification of Unique Key miRNAs, TFs, and mRNAs in Virulent MTB Infection Macrophages by Network Analysis |
title_sort | identification of unique key mirnas, tfs, and mrnas in virulent mtb infection macrophages by network analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8745702/ https://www.ncbi.nlm.nih.gov/pubmed/35008808 http://dx.doi.org/10.3390/ijms23010382 |
work_keys_str_mv | AT zhutingting identificationofuniquekeymirnastfsandmrnasinvirulentmtbinfectionmacrophagesbynetworkanalysis AT liuhan identificationofuniquekeymirnastfsandmrnasinvirulentmtbinfectionmacrophagesbynetworkanalysis AT suli identificationofuniquekeymirnastfsandmrnasinvirulentmtbinfectionmacrophagesbynetworkanalysis AT dawoodali identificationofuniquekeymirnastfsandmrnasinvirulentmtbinfectionmacrophagesbynetworkanalysis AT huchangmin identificationofuniquekeymirnastfsandmrnasinvirulentmtbinfectionmacrophagesbynetworkanalysis AT chenxi identificationofuniquekeymirnastfsandmrnasinvirulentmtbinfectionmacrophagesbynetworkanalysis AT chenhuanchun identificationofuniquekeymirnastfsandmrnasinvirulentmtbinfectionmacrophagesbynetworkanalysis AT chenyingyu identificationofuniquekeymirnastfsandmrnasinvirulentmtbinfectionmacrophagesbynetworkanalysis AT guoaizhen identificationofuniquekeymirnastfsandmrnasinvirulentmtbinfectionmacrophagesbynetworkanalysis |