Molecular Profiling of Cancer Metastases
OverviewTogether with the scientists at Agenus, a US-based biotech company specializing in innovative forms of cancer treatment, including the discovery and development of immuno-oncology therapies, ABI has formed a team of students and researchers to study cancer metastases and identify potential biomarkers and targets for cancer immunotherapies. This collaboration is also part of our long-term vision of supporting biotech developments in Armenia. The team discovers transcriptomics heterogeneity of Liver metastases for precision diagnostics and treatment․
Programme: Cancer Omics
SEEK ID: https://armlifebank.am/projects/6
Public web page: https://abi.am/research/research-labs/agenus-lab/
Organisms: Human
ArmLifeBank PALs: No PALs for this Project
Project start date: 21st Feb 2024
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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, Omics-Based Insights into Human Long-Term Exposure to Environmental Metals, Biological pathway activity analysis, ML approaches for omic data analysis, Tools for Telomere Biology, Mental disorders and aging brain, Armenian Wine Genome Program, Study of the molecular mechanisms of familial Mediterranean fever using genetic engineering and functional genomics, Molecular characterization of cancers with long-read RNA sequencing, Low dose radiation risks: present research and future perspectives, Third International Congress "CRISPR-2025", International Summit in Immuno-Oncology
Institutions: Institute of Molecular Biology NAS RA, Armenian Bioinformatics Institute
https://orcid.org/0000-0002-6851-1056
Projects: Functional Genomics of Vine, Molecular Profiling of Cancer Metastases, Biological pathway activity analysis, Mental disorders and aging brain, ML approaches for omic data analysis, Armenian Wine Genome Program
Institutions: Armenian Bioinformatics Institute, Interdisciplinary Center for Bioinformatics (IZBI)
https://orcid.org/0000-0002-2242-4678
Projects: Study of the molecular mechanisms of familial Mediterranean fever using genetic engineering and functional genomics, Development of induced pluripotent stem cell bank of patients with Familial Mediterranean Fever, Molecular Profiling of Cancer Metastases, Sex-specific differences in long-term gamma and simGCRsim-associated alterations in deferential gene expression in the heart tissue, Molecular characterization of cancers with long-read RNA sequencing, ML approaches for omic data analysis, Mental disorders and aging brain, Armenian Wine Genome Program, Functional Genomics of Vine, COVID-19, Genetic History of Armenians, Molecular epidemiology of multi-drug resistance, Multi-Omics Molecular Diversity of Cancers, Third International Congress "CRISPR-2025", International Summit in Immuno-Oncology, Low dose radiation risks: present research and future perspectives
Institutions: Russian-Armenian University, Institute of Molecular Biology NAS RA
https://orcid.org/0009-0009-7992-1366
Tomas Konecny obtained his bachelor's and master's degrees in Molecular Biology and Genetics at Masaryk University, Czech Republic. He began a PhD in Molecular and Cell Biology at the University of South Bohemia. In 2023, Tomas switched to bioinformatics and started a PhD at Leipzig University, Germany. He is currently a bioinformatician at the Armenian Bioinformatics Institute and the Interdisciplinary Centre for Bioinformatics, Leipzig. His research focuses on grapevine response to climate ...
This Programme offers a comprehensive summary of various projects focused on deciphering the intricate molecular mechanisms of cancer development, progression, and response to treatments, utilizing bioinformatics, computational biology, and machine learning. These are multi-laboratory efforts carried out across several research institutions, supported by various grant programs.
Projects: Molecular Profiling of Cancer Metastases, Molecular characterization of cancers with long-read RNA sequencing, Multi-Omics Molecular Diversity of Cancers
Web page: Not specified
The dataset contains raw and intermediated files, and scripts required to reproduce the results associated with the manuscript "Assigning transcriptomic subtypes to CLL samples using nanopore RNA-sequencing and self-organizing maps". Here, we demonstrate that integrating publicly available short-read data with in-house generated ONT data, along with the application of machine learning approaches, enables the characterization of the CLL transcriptome landscape, the identification of clinically ...
Creator: Arsen Arakelyan
Submitter: Lana Karapetyan
External Link
Abstract (Expand)
Authors: Yeva Bareghamyan, Arpine Minasyan, Suren Davitavyan, Anna Petrackova, Jakub Savara, Romana Nesnadna, Eva Kriegova, Jonathan Schug, Arsen Arakelyan, Ani Stepanyan
Date Published: 4th Jan 2026
Publication Type: Journal
