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Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks
BACKGROUND AND OBJECTIVES: Human T-lymphotropic virus type 1 (HTLV-1) is the cause of adult T-cell leukemia (ATL) and HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP). The present study aims to analyze gene expression patterns in ATL and HAM/TSP. MATERIALS AND METHODS: Microarray...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Tehran University of Medical Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085549/ https://www.ncbi.nlm.nih.gov/pubmed/35664724 http://dx.doi.org/10.18502/ijm.v14i1.8814 |
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author | Ebadi, Amin Momenifar, Navid Yazdani, Shaghayegh Gholizadeh, Omid Poortahmasebi, Vahdat |
author_facet | Ebadi, Amin Momenifar, Navid Yazdani, Shaghayegh Gholizadeh, Omid Poortahmasebi, Vahdat |
author_sort | Ebadi, Amin |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Human T-lymphotropic virus type 1 (HTLV-1) is the cause of adult T-cell leukemia (ATL) and HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP). The present study aims to analyze gene expression patterns in ATL and HAM/TSP. MATERIALS AND METHODS: Microarray gene expression profiling of T-lymphocytes from HTLV-1 associated disease and healthy control were obtained from Gene Expression Omnibus (GEO). Several bioinformatics tools were used to identify differentially expressed genes (DEGs). Among the generated DEGs, we constructed protein-protein interaction (PPI) between HAM/TSM and ATL in comparison to asymptomatic carriers (ACs). Subsequently, gene ontology (GO) and topological analysis were performed. RESULTS: We found that the majority of DEGs in ATL and HAM/TSP were importantly implicated in immune response categories. The nodes and edges number of normal-AC, AC-ATL and ATL-HAM/TSP PPIs were 168 and 145, 116 and 97, and 275 and 327, respectively. Based on the topological analyses of protein-protein interaction networks, APP (Amyloid Beta Precursor Protein) was detected as a critical player in progression of HTLV-1 disease. CONCLUSION: Dysregulation of immune response associated transcripts play a critical role in HTLV-1 disease progression. Immune response associated genes may be biomarker for prognosis in cancer development and therapeutic targets. |
format | Online Article Text |
id | pubmed-9085549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-90855492022-06-04 Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks Ebadi, Amin Momenifar, Navid Yazdani, Shaghayegh Gholizadeh, Omid Poortahmasebi, Vahdat Iran J Microbiol Original Article BACKGROUND AND OBJECTIVES: Human T-lymphotropic virus type 1 (HTLV-1) is the cause of adult T-cell leukemia (ATL) and HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP). The present study aims to analyze gene expression patterns in ATL and HAM/TSP. MATERIALS AND METHODS: Microarray gene expression profiling of T-lymphocytes from HTLV-1 associated disease and healthy control were obtained from Gene Expression Omnibus (GEO). Several bioinformatics tools were used to identify differentially expressed genes (DEGs). Among the generated DEGs, we constructed protein-protein interaction (PPI) between HAM/TSM and ATL in comparison to asymptomatic carriers (ACs). Subsequently, gene ontology (GO) and topological analysis were performed. RESULTS: We found that the majority of DEGs in ATL and HAM/TSP were importantly implicated in immune response categories. The nodes and edges number of normal-AC, AC-ATL and ATL-HAM/TSP PPIs were 168 and 145, 116 and 97, and 275 and 327, respectively. Based on the topological analyses of protein-protein interaction networks, APP (Amyloid Beta Precursor Protein) was detected as a critical player in progression of HTLV-1 disease. CONCLUSION: Dysregulation of immune response associated transcripts play a critical role in HTLV-1 disease progression. Immune response associated genes may be biomarker for prognosis in cancer development and therapeutic targets. Tehran University of Medical Sciences 2022-02 /pmc/articles/PMC9085549/ /pubmed/35664724 http://dx.doi.org/10.18502/ijm.v14i1.8814 Text en Copyright © 2022 The Authors. Published by Tehran University of Medical Sciences https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited. |
spellingShingle | Original Article Ebadi, Amin Momenifar, Navid Yazdani, Shaghayegh Gholizadeh, Omid Poortahmasebi, Vahdat Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks |
title | Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks |
title_full | Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks |
title_fullStr | Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks |
title_full_unstemmed | Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks |
title_short | Identification of hub genes and molecular pathways in human T-lymphotropic virus type 1 associated diseases using protein-protein interactions networks |
title_sort | identification of hub genes and molecular pathways in human t-lymphotropic virus type 1 associated diseases using protein-protein interactions networks |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085549/ https://www.ncbi.nlm.nih.gov/pubmed/35664724 http://dx.doi.org/10.18502/ijm.v14i1.8814 |
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