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Identification of miRNA-mRNA crosstalk in CD4(+) T cells during HIV-1 infection by integrating transcriptome analyses
BACKGROUND: HIV-1-infected long-term nonprogressors (LTNPs) are characterized by infection with HIV-1 more than 7–10 years, but keeping high CD4(+) T cell counts and low viral load in the absence of antiretroviral treatment, while loss of CD4(+) T cells and high viral load were observed in the most...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319073/ https://www.ncbi.nlm.nih.gov/pubmed/28222782 http://dx.doi.org/10.1186/s12967-017-1130-y |
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author | Liao, Qibin Wang, Jin Pei, Zenglin Xu, Jianqing Zhang, Xiaoyan |
author_facet | Liao, Qibin Wang, Jin Pei, Zenglin Xu, Jianqing Zhang, Xiaoyan |
author_sort | Liao, Qibin |
collection | PubMed |
description | BACKGROUND: HIV-1-infected long-term nonprogressors (LTNPs) are characterized by infection with HIV-1 more than 7–10 years, but keeping high CD4(+) T cell counts and low viral load in the absence of antiretroviral treatment, while loss of CD4(+) T cells and high viral load were observed in the most of HIV-1-infected individuals with chronic progressors (CPs) However, the mechanisms of different clinical outcomes in HIV-1 infection needs to be further resolved. METHODS: To identify microRNAs (miRNAs) and their target genes related to distinct clinical outcomes in HIV-1 infection, we performed the integrative transcriptome analyses in two series GSE24022 and GSE6740 by GEO2R, R, TargetScan, miRDB, and Cytoscape softwares. The functional pathways of these differentially expressed miRNAs (DEMs) targeting genes were further analyzed with DAVID. RESULTS: We identified that 7 and 19 DEMs in CD4(+) T cells of LTNPs and CPs, respectively, compared with uninfected controls (UCs), but only miR-630 was higher in CPs than that in LTNPs. Further, 478 and 799 differentially expressed genes (DEGs) were identified in the group of LTNPs and CPs, respectively, compared with UCs. Compared to CPs, four hundred and twenty-four DEGs were identified in LTNPs. Functional pathway analyses revealed that a close connection with miRNA-mRNA in HIV-1 infection that DEGs were involved in response to virus and immune system process, and RIG-I-like receptor signaling pathway, whose DEMs or DEGs will be novel biomarkers for prediction of clinical outcomes and therapeutic targets for HIV-1. CONCLUSIONS: Integrative transcriptome analyses showed that distinct transcriptional profiles in CD4(+) T cells are associated with different clinical outcomes during HIV-1 infection, and we identified a circulating miR-630 with potential to predict disease progression, which is necessary to further confirm our findings in the future. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-017-1130-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5319073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53190732017-02-24 Identification of miRNA-mRNA crosstalk in CD4(+) T cells during HIV-1 infection by integrating transcriptome analyses Liao, Qibin Wang, Jin Pei, Zenglin Xu, Jianqing Zhang, Xiaoyan J Transl Med Research BACKGROUND: HIV-1-infected long-term nonprogressors (LTNPs) are characterized by infection with HIV-1 more than 7–10 years, but keeping high CD4(+) T cell counts and low viral load in the absence of antiretroviral treatment, while loss of CD4(+) T cells and high viral load were observed in the most of HIV-1-infected individuals with chronic progressors (CPs) However, the mechanisms of different clinical outcomes in HIV-1 infection needs to be further resolved. METHODS: To identify microRNAs (miRNAs) and their target genes related to distinct clinical outcomes in HIV-1 infection, we performed the integrative transcriptome analyses in two series GSE24022 and GSE6740 by GEO2R, R, TargetScan, miRDB, and Cytoscape softwares. The functional pathways of these differentially expressed miRNAs (DEMs) targeting genes were further analyzed with DAVID. RESULTS: We identified that 7 and 19 DEMs in CD4(+) T cells of LTNPs and CPs, respectively, compared with uninfected controls (UCs), but only miR-630 was higher in CPs than that in LTNPs. Further, 478 and 799 differentially expressed genes (DEGs) were identified in the group of LTNPs and CPs, respectively, compared with UCs. Compared to CPs, four hundred and twenty-four DEGs were identified in LTNPs. Functional pathway analyses revealed that a close connection with miRNA-mRNA in HIV-1 infection that DEGs were involved in response to virus and immune system process, and RIG-I-like receptor signaling pathway, whose DEMs or DEGs will be novel biomarkers for prediction of clinical outcomes and therapeutic targets for HIV-1. CONCLUSIONS: Integrative transcriptome analyses showed that distinct transcriptional profiles in CD4(+) T cells are associated with different clinical outcomes during HIV-1 infection, and we identified a circulating miR-630 with potential to predict disease progression, which is necessary to further confirm our findings in the future. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-017-1130-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-21 /pmc/articles/PMC5319073/ /pubmed/28222782 http://dx.doi.org/10.1186/s12967-017-1130-y Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Liao, Qibin Wang, Jin Pei, Zenglin Xu, Jianqing Zhang, Xiaoyan Identification of miRNA-mRNA crosstalk in CD4(+) T cells during HIV-1 infection by integrating transcriptome analyses |
title | Identification of miRNA-mRNA crosstalk in CD4(+) T cells during HIV-1 infection by integrating transcriptome analyses |
title_full | Identification of miRNA-mRNA crosstalk in CD4(+) T cells during HIV-1 infection by integrating transcriptome analyses |
title_fullStr | Identification of miRNA-mRNA crosstalk in CD4(+) T cells during HIV-1 infection by integrating transcriptome analyses |
title_full_unstemmed | Identification of miRNA-mRNA crosstalk in CD4(+) T cells during HIV-1 infection by integrating transcriptome analyses |
title_short | Identification of miRNA-mRNA crosstalk in CD4(+) T cells during HIV-1 infection by integrating transcriptome analyses |
title_sort | identification of mirna-mrna crosstalk in cd4(+) t cells during hiv-1 infection by integrating transcriptome analyses |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319073/ https://www.ncbi.nlm.nih.gov/pubmed/28222782 http://dx.doi.org/10.1186/s12967-017-1130-y |
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