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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Tingting, Liu, Han, Su, Li, Dawood, Ali, Hu, Changmin, Chen, Xi, Chen, Huanchun, Chen, Yingyu, Guo, Aizhen
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