Integrated analysis of gene expression profiles of T-lymphocytes in human T cell leukemia virus type ۱ (HTLV-۱) associated disease: A bioinformatics analysis

Backgrounds: Human T-lymphotropic virus type ۱ (HTLV-۱) is the cause of adult T-cellleukemia-lymphomas (ATL) and HTLV-۱-associated myelopathy/tropical spastic paraparesis(HAM/TSP). The goal of present study was to investigating the gene expression analysis of geneexpression pattern for ATL HAM/TSP.Materials and Methods: Microarray gene expression profiling of T lymphocytes from HTLV-۱associated disease and healthy control were obtained from Gene Expression. Bioinformaticstools (GEO accession: GSE۱۹۰۸۰) were performed to identify differentially expressed genes(DEGs). Among the generated DEGs, we constructed protein-protein interaction (PPI) ofHAM/TSM and ATL in comparison to asymptomatic carriers (ACs). Subsequently, geneontology and PPI analysis were performed. Topological properties of each PPI were measuredusing Network-Analyzer, a network analysis plug-in of Cytoscape, to identify the most importantfunctional hub genes within the networks.Results: We found that the majority of DEGs in ATL and HAM/TSP were importantlyimplicated in immune response categories. The nodes and edges number of normal-AC, ACATLand ATL-HAM/TSP PPIs were ۱۶۸ and ۱۴۵, ۱۱۶ and ۹۷, and ۲۷۵ and ۳۲۷, respectively.Based on the topological analysis of protein-protein interaction networks, APP (Amyloid BetaPrecursor Protein) was detected as the critical player of HTLV-۱ disease progression. Theexpression of APP had a significant negative correlation in ATL (down-regulated) andHAM/TSP (up-regulated) samples. PTK۲, PIK۳R۱, COPS۵, CALM۱ and HLA-B associatedwith disease progression.Conclusion: Dysregulation of immune response associated transcripts play a critical role inHTLV-۱ disease progression. Immune response associated genes may be biomarker forprognosis in cancer development and therapeutic targets.

کلیدواژه ها:

HTLV-۱ ، ATL ، HTLV-۱-associated myelopathy/tropical spastic paraparesis ، Geneexpression