Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Comprehensive High-Throughput Meta-Analysis of Differentially Expressed Micrornas in Transcriptomic Datasets Reveals Significant Disruption of Mapk/Jnk Signal Transduction Pathway in Adult T-Cell Leukemia/Lymphoma Publisher



Shadabi S1 ; Delrish N2 ; Norouzi M2, 3 ; Ehteshami M1 ; Habibiansezavar F4, 6 ; Pourrezaei S2 ; Madihi M2 ; Ostadali M5 ; Akhgar F4, 6 ; Shayeghpour A1 ; Razavi Pashabayg C2 ; Aghajanian S1 ; Mozhgani SH7, 8 ; Jazayeri SM2, 3
Authors
Show Affiliations
Authors Affiliations
  1. 1. Student Research Committee, Alborz University of Medical Sciences, Karaj, Iran
  2. 2. Department of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Research Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Blood Transfusion Research Center, High Institute for Research & Education in Transfusion Medicine, Tehran, Iran
  5. 5. Hematology-Oncology and Stem Cell Transplantation Research Center, Shariati Hospital Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Blood Transfusion Research Center, High Institute for Research & Education in Transfusion Medicine, Tehran, Iran
  7. 7. Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
  8. 8. Department of Microbiology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran

Source: Infectious Agents and Cancer Published:2021


Abstract

Background: Human T-lymphotropic virus 1 (HTLV-1) infection may lead to the development of Adult T-cell leukemia/lymphoma (ATLL). To further elucidate the pathophysiology of this aggressive CD4+ T-cell malignancy, we have performed an integrated systems biology approach to analyze previous transcriptome datasets focusing on differentially expressed miRNAs (DEMs) in peripheral blood of ATLL patients. Methods: Datasets GSE28626, GSE31629, GSE11577 were used to identify ATLL-specific DEM signatures. The target genes of each identified miRNA were obtained to construct a protein-protein interactions network using STRING database. The target gene hubs were subjected to further analysis to demonstrate significantly enriched gene ontology terms and signaling pathways. Quantitative reverse transcription Polymerase Chain Reaction (RTqPCR) was performed on major genes in certain pathways identified by network analysis to highlight gene expression alterations. Results: High-throughput in silico analysis revealed 9 DEMs hsa-let-7a, hsa-let-7g, hsa-mir-181b, hsa-mir-26b, hsa-mir-30c, hsa-mir-186, hsa-mir-10a, hsa-mir-30b, and hsa-let-7f between ATLL patients and healthy donors. Further analysis revealed the first 5 of DEMs were directly associated with previously identified pathways in the pathogenesis of HTLV-1. Network analysis demonstrated the involvement of target gene hubs in several signaling cascades, mainly in the MAPK pathway. RT-qPCR on human ATLL samples showed significant upregulation of EVI1, MKP1, PTPRR, and JNK gene vs healthy donors in MAPK/JNK pathway. Discussion: The results highlighted the functional impact of a subset dysregulated microRNAs in ATLL on cellular gene expression and signal transduction pathways. Further studies are needed to identify novel biomarkers to obtain a comprehensive mapping of deregulated biological pathways in ATLL. © 2021, The Author(s).
Other Related Docs
12. Microrna Let-7 and Viral Infections: Focus on Mechanisms of Action, Cellular and Molecular Biology Letters (2022)
15. Dual-Specificity Phosphatases: Therapeutic Targets in Cancer Therapy Resistance, Journal of Cancer Research and Clinical Oncology (2022)
18. Bcl11a and the Correlated Key Genes Ascribable to Globin Switching: An In-Silico Study, Cardiovascular and Hematological Disorders - Drug Targets (2022)
19. Cancer Genetics at a Glance: The Comprehensive Insights, Cancer Genetics and Psychotherapy (2017)