This program under is designed to encapsulate and facilitate research projects focusing on the intricate dynamics between genetic predispositions and environmental factors in the progression of chronic diseases, excluding cancer. This initiative aims to unravel the molecular mechanisms and pathways that underlie these diseases, thereby paving the way for targeted interventions and therapies.
Web page: Not specified
Funding details:Related items
Projects: Sex-specific differences in long-term gamma and simGCRsim-associated alterations in deferential gene expression in the heart tissue, Functional Genomics of Vine, Molecular Profiling of Cancer Metastases, Epigenetic influence of human long-term environmental exposure to metals, Biological pathway activity analysis, ML approaches for omic data analysis, Tools for Telomere Biology, Mental disorders and aging brain, Armenian Wine Genome Program
Institutions: Institute of Molecular Biology NAS RA, Armenian Bioinformatics Institute
https://orcid.org/0000-0002-6851-1056This project focuses on studies around brain disorders and ageing.
Programme: Genes, Environment and Chronic Diseases
Public web page: Not specified
Organisms: Human
Background: Long-term environmental exposure to metals leads to epigenetic changes and may increase risks to human health. The relationship between the type, timing and level of metal exposure and DNA methylation is not yet clear. The human epidemiologic and the toxicologic animal model studies provide strong evidence of metal exposure related DNA methylation changes, and, consequently alterations in gene expression, in metabolic, genetic and signal transduction pathways and their functions. ...
Programme: Genes, Environment and Chronic Diseases
Public web page: Not specified
Start date: 1st Sep 2021
Organisms: Human
This dataset provides data necessary to replicate the results of the time-perturbation analysis of gene expression in health and mental disorders. The corresponding code is available in the GitHub repository under the https://github.com/susieavagyan/BrainExp-TemporalDynamics link.
Creator: Arsen Arakelyan
Submitter: Arsen Arakelyan
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
This dataset provides data necessary to replicate the results of the time-perturbation analysis of gene expression in health and mental disorders. The corresponding code is available in the GitHub repository under the https://github.com/susieavagyan/BrainExp-TemporalDynamics link.
Creator: Arsen Arakelyan
Submitter: Arsen Arakelyan
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Abstract (Expand)
Authors: A. Arakelyan, S. Avagyan, A. Kurnosov, T. Mkrtchyan, G. Mkrtchyan, R. Zakharyan, K. R. Mayilyan, H. Binder
Date Published: 17th Feb 2024
Publication Type: Journal
PubMed ID: 38368435
Citation: Schizophrenia (Heidelb). 2024 Feb 17;10(1):19. doi: 10.1038/s41537-024-00443-7.
Abstract (Expand)
Authors: A. Stepanyan, A. Petrackova, S. Hakobyan, J. Savara, S. Davitavyan, E. Kriegova, A. Arakelyan
Date Published: 7th Aug 2023
Publication Type: Journal
PubMed ID: 37550793
Citation: Clin Epigenetics. 2023 Aug 7;15(1):126. doi: 10.1186/s13148-023-01536-3.
Abstract (Expand)
Authors: H. Loeffler-Wirth, L. Hopp, M. Schmidt, R. Zakharyan, A. Arakelyan, H. Binder
Date Published: 21st Jan 2022
Publication Type: Journal
PubMed ID: 35159171
Citation: Cells. 2022 Jan 21;11(3):362. doi: 10.3390/cells11030362.