Projects

Long-term environmental exposure to metals leads to epigenetic changes and may increase risks to human health. 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. The current study is designed to investigate genome wide DNA methylation and transcriptomic changes induced by human chronic ...

The “Low dose radiation risks: present research and future perspectives” Advanced Research Workshop is a NATO (North Atlantic Treaty Organization)-sponsored workshop organized by the McMaster University (Canada) and Institute of Molecular Biology NAS RA (National Academy of Sciences of Republic of Armenia) which offers a unique opportunity to learn about new discoveries and exchange experience with professionals in the field of radioecology, radiobiology, country-specific regulatory agencies, ...

Principal Investigator: Prof. Hans Binder

University: University of Leipzig

Research Group: Kristina Margaryan, Maria Nikoghosyan, Tomas Konecny, Anush Baloyan, Hripsime Gasoyan, Emma Hovhannisyan, Levon Galstyan, Duan Shengchang

Duration: 2023-2027

Co-implementing and hosting partner: Armenian Bioinformatics Institute (ABI) and Institute of Molecular Biology

Project Importance The cultivated grape (Vitis vinifera) has become the world’s leading fruit crop. Grape is unique not only because it is ...

21AG-1F021

Space radiation (IR) from Solar Particle Events (SPE) and Galactic Cosmic Rays (GCR), also known as high charge and energy (HZE) IR, is a primary risk associated with deep-space missions. There are limited animal and human studies on the risk of cardiovascular disease (CVD) development due to space-IR. The cardiac effects induced by space-type IR, specifically simplified GCR simulated (simGCRsim)-IR, are yet to be discovered. We hypothesized that gamma (γ) and simGCRsim IR-induced biological ...

This project focuses on developing and applying machine learning (ML) methodologies to analyze complex omic datasets, including genomics, transcriptomics, proteomics, and metabolomics. By leveraging advanced ML techniques, the project aims to uncover novel biological insights, identify biomarkers, and enhance our understanding of molecular mechanisms underlying various diseases. The initiative is a collaborative effort maintained by the Institute of Molecular Biology NAS RA (IMB), ...