Arsen Arakelyan

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About Arsen Arakelyan:

No description specified

SEEK ID: https://armlifebank.am/people/2

Location: Armenia

ORCID: https://orcid.org/0000-0002-6851-1056

Joined: 16th Feb 2024

Expertise: Not specified

Tools: Not specified

Their tags

biological networks breast cancer Crohn’s disease DNA methylome and copy number variati... extension SOM portraying gene expression genomics analysis of liver metastases histological grades inflammatory bowel diseases infliximab integrative cancer bioinformatics Left Ventricle lower grade gliomas modes of genomics regulation molecular mechanisms omics data Pathway Analysis Presentations prognostic score Raw Data RNA sequencing self-organizing map machine learning self-organizing maps (SOM) self-organizing maps machine learning single cell omics Slides supervised SOM portraying systems biology TMM transcriptome transfer learning treatment resistance treatment response tumor heterogeneity ulcerative colitis Western Diet

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Showing 5 out of a possible 8 Programmes Advanced Programmes list for this Person with search and filtering

Armenian Genome Project

The Armenian Genome Project aims at unraveling our genetic background and bringing personalized and precision medicine to Armenia

Projects: Genetic History of Armenians

Web page: http://armeniangenome.am/

Events

This Programme sumarizes scientific events and associated documents.

Projects: Low dose radiation risks: present research and future perspectives, Third International Congress "CRISPR-2025", International Summit in Immuno-Oncology

Web page: Not specified

Plant Genomics & Bioinformatics

The Plant Genomics Programme focuses on the comprehensive characterization of plant genetic resources, aiming to understand the factors that shape genetic variation across plant genomes and drive phenotypic diversity in traits of adaptive and economic importance. The research explores the genetic architecture of plant adaptation to changing climatic conditions and investigates the genomic determinants of genetic diversity. A key objective is the integration of multi-omics data into innovative ...

Projects: Functional Genomics of Vine, Armenian Wine Genome Program

Web page: Not specified

Bioinformatics Tools for Analysis of Big Genomic Data

This Programme focuses on the development, implementation, and application of bioinformatics tools for the analysis of large-scale genomic datasets. It aims to facilitate the processing, integration, and interpretation of high-throughput sequencing data, including whole-genome, transcriptome, and epigenome analyses. The Programme encompasses computational approaches for variant discovery, gene expression profiling, network biology, and multi-omics data integration.

Projects: Biological pathway activity analysis, ML approaches for omic data analysis, Tools for Telomere Biology

Web page: Not specified

Cellular basis of diseases

Cellular dysfunction, the fundamental basis of all human diseases, underpins the pathophysiology of numerous disorders. This program presents a overview of research initiatives focused on advancing human health through the development of diagnostic, preventive, and therapeutic strategies. These projects are conducted in collaboration with multiple research institutions and are supported by diverse grant funding mechanisms.

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

Web page: Not specified

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Showing 5 out of a possible 14 Projects Advanced Projects list for this Person with search and filtering

Low dose radiation risks: present research and future perspectives

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, ...

Programme: Events

Public web page: https://imb.am/rad2025/

Start date: 30th Mar 2025

End date: 2nd Apr 2025

Organisms: Not specified

International Summit in Immuno-Oncology

We are pleased to invite your specialists to the International Summit in Immuno-Oncology, which will take place in Yerevan, Armenia, on October 16–18, 2025, organized by Santé Arménie in collaboration with Inserm, the Armenian Association of Clinical Pathologists and Cytologists, and the Institute of Molecular Biology.

This summit marks the beginning of an ambitious effort to establish a world-class immuno-oncology ecosystem in Armenia. We are gathering leading experts in cancer research, clinical ...

Programme: Events

Public web page: Not specified

Start date: 16th Oct 2025

End date: 18th Oct 2025

Organisms: Not specified

Third International Congress "CRISPR-2025"

We are delighted to announce the Third International Congress “CRISPR-2025,” which will take place from October 5–10, 2025, in Yerevan, Armenia.

CRISPR-2025 will provide a dynamic platform for experts to discuss cutting-edge advancements, ongoing challenges, and ethical considerations in genome editing technologies. The congress will foster collaboration and the exchange of ideas among scientists, clinicians, and industry leaders, creating opportunities for innovative partnerships.

The topics to ...

Programme: Events

Public web page: https://crispr2025.rau.am/

Start date: 5th Oct 2025

End date: 10th Oct 2025

Organisms: Not specified

Functional Genomics of Vine

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 ...

Programme: Plant Genomics & Bioinformatics

Public web page: https://www.fast.foundation/en/program/847/2022/new_tab/6586/6677

Organisms: Grapevine

Armenian Wine Genome Program

No description specified

Programme: Plant Genomics & Bioinformatics

Public web page: Not specified

Organisms: Grapevine

View all 14 Projects

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Armenian Bioinformatics Institute

Country: Armenia

City: Yerevan

Web page: https://www.abi.am

Institute of Molecular Biology NAS RA

Country: Armenia

City: Yerevan

Web page: https://molbiol.sci.am

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Digital life sciences for genome-based healthcare

ML approaches for omic data analysis

DigitalLife aims at bringing together complementary Armenian and German competence of the project partners in three major areas: omics bioinformatics for health with single-cell omics resolution, the establishment of infrastructure for genomic data collection, analysis, and sharing, and the Research School offering a qualification program for young scientists. The research tasks include the development of pathway analysis and machine learning methods and software for single-cell omic data analysis, ...

Submitter: Arsen Arakelyan

Studies: No Studies

Assays: No Assays

Snapshots: No snapshots

Created: 14th Apr 2025 at 06:12

Showing 5 out of a possible 6 Data files Advanced Data files list for this Person with search and filtering

Assigning transcriptomic subtypes to CLL samples using nanopore RNA-sequencing and self-organizing maps - dataset

Molecular Profiling of Cancer Metastases, Molecular characterization of cancers with long-read RNA sequencing

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

Investigations: No Investigations

Studies: No Studies

Assays: No Assays

External Link

Created: 10th Jul 2025 at 10:37

Projection of high-dimensional genome-wide expression on SOM transcriptome landscapes: supplementary datasets

ML approaches for omic data analysis, Molecular characterization of cancers with long-read RNA sequencing

(Show All)

This is a supplementary dataset with raw data, scripts, and complete analysis results for the paper "Supervised projection of high-dimensional genome-wide expression on SOM transcriptome landscapes".

The archive contains three folders:

"Simdata" folder contains data, scripts, and results of performance evaluation of extension SOM and supervised SOM with simulated data.
"IBD" - folder contains data, scripts, and results of analysis of Inflammatory bowel disease datasets.
"BC" - folder ...

Creators: Maria Nikoghosyan, Suren Davitavyan, Hans Binder, Arsen Arakelyan

Submitter: Lana Karapetyan

Investigations: No Investigations

Studies: No Studies

Assays: No Assays

External Link

Created: 10th Jul 2025 at 10:26

Telomere Maintenance Pathways in Lower-Grade Gliomas: Insights from Genetic Subtypes and Telomere Length Dynamics

Tools for Telomere Biology, Molecular characterization of cancers with long-read RNA sequencing

(Show All)

This is the submission accompanying the "Telomere Maintenance Pathways in Lower-Grade Gliomas: Insights from Genetic Subtypes and Telomere Length Dynamics" paper.

The dataset contains the TCGA and CGGA LGG

The dataset is organized as follows:

Folder "CGGA_LGG_IDH_subtype_mean_vis" - The CGGAL GG data IDH subtype pathway visualization and CSV data. Folder "Long_Short_telomeres_path_vis" - The TCGA LGG data ALT and TEL pathway visualization for Long and Short telomeres mean values. Folder ...

Creators: Arsen Arakelyan, Meline Hakobyan, Hans Binder

Submitter: Arsen Arakelyan

Investigations: No Investigations

Studies: No Studies

Assays: No Assays

External Link

Created: 9th Jul 2025 at 08:47

Life long effects of radiation and high fat dieat on the mouse left ventricular tissue

Sex-specific differences in long-term gamma and simGCRsim-associated alterations in deferential gene expression in the heart tissue

Sequencing raw data.

Creators: Arsen Arakelyan, Siras Hakobyan

Submitter: Arsen Arakelyan

Investigations: No Investigations

Studies: No Studies

Assays: No Assays

Created: 11th Feb 2025 at 13:41

Temporal changes of gene expression in health and mental disorders. Supporting Data

Mental disorders and aging brain

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

External Link

Created: 28th Apr 2024 at 14:31

View all 6 Data files

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PSF toolkit: an R package for pathway curation and topology-aware analysis

Biological pathway activity analysis

The Pathway Signal Flow (PSF) toolkit is an R package designed for pathway editing and signal flow analysis. It enables users to perform PSF analysis on functional -omics data, facilitating the study of signaling pathways in various biological contexts.

Key Features:

Pathway Editing: Allows customization and editing of biological pathways to suit specific research needs.
Signal Flow Calculation: Computes signal flow within pathways based on gene expression data, aiding in the ...

Creators: Arsen Arakelyan, Siras Hakobyan

Submitter: Arsen Arakelyan

Model type: Not specified

Model format: Not specified

Environment: Not specified

Organism: Not specified

Investigations: No Investigations

Studies: No Studies

Assays: No Assays

Created: 5th Feb 2025 at 05:42, Last updated: 5th Feb 2025 at 05:46

Test model - KEGGParser: parsing and editing KEGG pathway maps in Matlab

Biological pathway activity analysis

KEGG pathway database is a collection of manually drawn pathway maps representing current knowledge on molecular interaction and reaction networks, accompanied with KGML (KEGG pathway xml format) files for automatic computational analyses and modeling of metabolic and signaling networks. In a KGML file the pathway is represented as a graph object with entry elements (gene products, compounds, pathways) as its nodes, and relations between elements as edges. However, in most cases there is a lack ...

Creator: Arsen Arakelyan

Submitter: Arsen Arakelyan

Model type: Not specified

Model format: Not specified

Environment: Matlab

Organism: Not specified

Investigations: No Investigations

Studies: No Studies

Assays: No Assays

Created: 7th Mar 2024 at 09:36, Last updated: 7th Mar 2024 at 09:36

Showing 5 out of a possible 73 Publications Advanced Publications list for this Person with search and filtering

Topology-aware pathway analysis of spatial transcriptomics

ML approaches for omic data analysis, Molecular characterization of cancers with long-read RNA sequencing

(Show All)

Abstract (Expand)

Spatial transcriptomics (ST) has transformed genomics by mapping gene expression onto intact tissue architecture, uncovering intricate cellular interactions that bulk and single-cell RNA sequencing … often overlook. Traditional ST workflows typically involve clustering spots, performing differential expression analyses, and annotating results via gene-set methods such as overrepresentation analysis (ORA) or gene set enrichment analysis (GSEA). More recent spatially-aware techniques extend these approaches by incorporating tissue organization into gene-set scoring. However, because they operate primarily at the level of individual genes, they may overlook the connectivity and topology of biological pathways, limiting their capacity to trace the propagation of signaling events within tissue regions. In this study, we address that gap by translating gene expression into pathway-level activity using the Pathway Signal Flow (PSF) algorithm. PSF integrates expression data with curated interaction networks to compute numeric activity scores for each branch of a biological pathway, producing a functionally annotated feature space that captures downstream signaling effects as branch-specific activity values. We applied PSF to two public 10x Genomics Visium datasets (human melanoma and mouse brain) and compared clustering based on PSF-derived pathway activities from 40 curated Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways and gene expression with standard Seurat Louvain clustering and spatially aware methods (Vesalius, spatialGE). We observed good correspondence between PSF-based and expression-based clustering when spatially aware clustering methods were used. This suggests that branch-level pathway activities can themselves drive clustering and pinpoint spatially deregulated processes. To assess cluster-specific functional annotation, we compared PSF results to conventional ORA (based on marker genes) and GSDensity (based on cluster-specific gene sets). PSF identified a broader set of significant pathways with substantial overlap with both ORA and GSDensity, providing increased sensitivity due to its branch-level resolution. We further demonstrated that PSF-derived activity values can be used to detect spatially deregulated pathway branches, yielding results comparable to those obtained with spatially aware gene set analysis approaches such as GSDensity and spatialGE. The availability of pathway topology and branch-specific information also enabled the identification of potential intercellular communication via ligand-receptor interactions between deregulated pathways in adjacent tumor regions. To support interactive exploration of results, we developed the PSF Spatial Browser, an R Shiny application for visualizing pathway activities, gene expression patterns, and deregulated pathway networks.

Authors: Siras Hakobyan, Maria Schmidt, H. Binder, A. Arakelyan

Date Published: 14th Aug 2025

Publication Type: Journal

DOI: 10.7717/peerj.19729

Citation:

Created: 18th Aug 2025 at 10:05

The effects of space radiation on the transcriptome of heart right ventricle tissue

Sex-specific differences in long-term gamma and simGCRsim-associated alterations in deferential gene expression in the heart tissue

(Show All)

Abstract (Expand)

Deep space represents a challenging environment for human exploration and can be accompanied by harmful health-related risks. We aimed to assess the effect of simplified galactic cosmic ray simulated …

Authors: Roksana Zakharyan, Siras Hakobyan, Agnieszka Brojakowska, Malik Bisserier, Shihong Zhang, Mary K. Khlgatian, Amit Kumar Rai, Suren Davitavyan, Ani Stepanyan, Tamara Sirunyan, Gisane Khachatryan, Susmita Sahoo, Venkata Naga Srikanth Garikipati, Arsen Arakelyan, David A. Goukassian

Date Published: 21st Jul 2025

Publication Type: Journal

DOI: 10.1038/s41526-025-00506-8

Citation: npj Microgravity,11(1)

Created: 18th Aug 2025 at 09:04

Telomere Maintenance Pathways in Lower-Grade Gliomas: Insights from Genetic Subtypes and Telomere Length Dynamics

Molecular characterization of cancers with long-read RNA sequencing

(Show All)

Abstract (Expand)

Telomere maintenance mechanisms (TMMs) play a critical role in cancer biology, particularly in lower-grade gliomas (LGGs), where telomere dynamics and pathway activity remain poorly understood. In this …

Authors: Meline Hakobyan, Hans Binder, Arsen Arakelyan

Date Published: 28th Apr 2025

Publication Type: Journal

DOI: 10.3390/ijms26094175

Citation: International Journal of Molecular Sciences,26(9):4175

Created: 5th Jul 2025 at 10:47

Transcriptome alterations in long-term mining region residents: Insights into immune response and molecular pathways.

Omics-Based Insights into Human Long-Term Exposure to Environmental Metals

Abstract (Expand)

Pollution with metals and metalloids is a global problem that adversely affects human health and environment. Although several studies have reported gene expression changes in response to human exposures …

Authors: A. Stepanyan, A. Arakelyan, J. Schug

Date Published: 24th Mar 2025

Publication Type: Journal

PubMed ID: 40023890

Citation: Environ Int. 2025 Mar;197:109344. doi: 10.1016/j.envint.2025.109344. Epub 2025 Feb 21.

Created: 10th Apr 2025 at 12:12

Assigning Transcriptomic Subtypes to Chronic Lymphocytic Leukemia Samples Using Nanopore RNA-Sequencing and Self-Organizing Maps.

Molecular characterization of cancers with long-read RNA sequencing

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Abstract (Expand)

Background/Objectives: Massively parallel sequencing technologies have advanced chronic lymphocytic leukemia (CLL) diagnostics and precision oncology. Illumina platforms, while offering robust performance, … require substantial infrastructure investment and a large number of samples for cost-efficiency. Conversely, third-generation long-read nanopore sequencing from Oxford Nanopore Technologies (ONT) can significantly reduce sequencing costs, making it a valuable tool in resource-limited settings. However, nanopore sequencing faces challenges with lower accuracy and throughput than Illumina platforms, necessitating additional computational strategies. In this paper, 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 relevant molecular subtypes, and the assignment of these subtypes to nanopore-sequenced samples. Methods: Public Illumina RNA sequencing data for 608 CLL samples were obtained from the CLL-Map Portal. CLL transcriptome analysis, gene module identification, and transcriptomic subtype classification were performed using the oposSOM R package for high-dimensional data visualization with self-organizing maps. Eight CLL patients were recruited from the Hematology Center After Prof. R. Yeolyan (Yerevan, Armenia). Sequencing libraries were prepared from blood total RNA using the PCR-cDNA sequencing-barcoding kit (SQK-PCB109) following the manufacturer's protocol and sequenced on an R9.4.1 flow cell for 24-48 h. Raw reads were converted to TPM values. These data were projected into the SOMs space using the supervised SOMs portrayal (supSOM) approach to predict the SOMs portrait of new samples using support vector machine regression. Results: The CLL transcriptomic landscape reveals disruptions in gene modules (spots) associated with T cell cytotoxicity, B and T cell activation, inflammation, cell cycle, DNA repair, proliferation, and splicing. A specific gene module contained genes associated with poor prognosis in CLL. Accordingly, CLL samples were classified into T-cell cytotoxic, immune, proliferative, splicing, and three mixed types: proliferative-immune, proliferative-splicing, and proliferative-immune-splicing. These transcriptomic subtypes were associated with survival orthogonal to gender and mutation status. Using supervised machine learning approaches, transcriptomic subtypes were assigned to patient samples sequenced with nanopore sequencing. Conclusions: This study demonstrates that the CLL transcriptome landscape can be parsed into functional modules, revealing distinct molecular subtypes based on proliferative and immune activity, with important implications for prognosis and treatment that are orthogonal to other molecular classifications. Additionally, the integration of nanopore sequencing with public datasets and machine learning offers a cost-effective approach to molecular subtyping and prognostic prediction, facilitating more accessible and personalized CLL care.

Authors: A. Arakelyan, T. Sirunyan, G. Khachatryan, S. Hakobyan, A. Minasyan, M. Nikoghosyan, M. Hakobyan, A. Chavushyan, G. Martirosyan, Y. Hakobyan, H. Binder

Date Published: 13th Mar 2025

Publication Type: Journal

PubMed ID: 40149301

Citation: Cancers (Basel). 2025 Mar 13;17(6):964. doi: 10.3390/cancers17060964.

Created: 9th May 2025 at 06:24, Last updated: 9th May 2025 at 06:27

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Showing 5 out of a possible 11 Presentations Advanced Presentations list for this Person with search and filtering

Time to x LNT and base radiation protection regulations on science

Low dose radiation risks: present research and future perspectives

No description specified

Creator: Author: Marek Janiak

Submitter: Arsen Arakelyan

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Created: 4th May 2025 at 05:14, Last updated: 4th May 2025 at 05:32

Radiation impact to ecosystems at low doses Issues and challenges ahead

Low dose radiation risks: present research and future perspectives

No description specified

Creator: Author: Francois Brechnigac

Submitter: Arsen Arakelyan

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Created: 4th May 2025 at 05:12, Last updated: 4th May 2025 at 05:32

Current work of the ICRP related to environmental radiological protection

Low dose radiation risks: present research and future perspectives

No description specified

Creator: Author: David Copplestone

Submitter: Arsen Arakelyan

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Created: 4th May 2025 at 05:11, Last updated: 4th May 2025 at 05:32

Low Dose Radiobiology: an overview

Low dose radiation risks: present research and future perspectives

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Creator: Author: Carmel Motherhil

Submitter: Arsen Arakelyan

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Created: 4th May 2025 at 05:09, Last updated: 4th May 2025 at 05:31

Beyond the AOP: causal inference engines in coupled human and natural systems (CHANS) for radioecology

Low dose radiation risks: present research and future perspectives

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Creator: Author: Paul Schofield

Submitter: Arsen Arakelyan

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Created: 4th May 2025 at 05:25, Last updated: 4th May 2025 at 05:30

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The Third International Congress "CRISPR-2025"

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Start Date: 5th Oct 2025 (5th Oct 2025 (Asia/Yerevan))

End Date: 10th Oct 2025 (10th Oct 2025 (Asia/Yerevan))

Event Website: https://crispr2025.rau.am/

Country: Armenia

City: Yerevan

Created: 30th Sep 2025 at 07:41

Low dose radiation risks: present research and future perspectives

Start Date: 29th Mar 2025 (30th Mar 2025 (Asia/Yerevan))

End Date: 1st May 2025 (2nd May 2025 (Asia/Yerevan))

Event Website: https://imb.am/rad2025/

Country: Armenia

City: Yerevan

Created: 4th May 2025 at 05:36

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Agenda Program - International Summit in Immuno-Oncology

International Summit in Immuno-Oncology

16-18 OCTOBER 2025 YEREVAN, ARMENIA

AGENDA

Creators: Lana Karapetyan, Arsen Arakelyan

Submitter: Lana Karapetyan

Investigations: No Investigations

Studies: No Studies

Assays: No Assays

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Created: 29th Oct 2025 at 09:15

Scientific program of the congress CRISPR-2025

Third International Congress "CRISPR-2025"

Cell Technologies
Regenerative Medicine
Intelligent Data Science
Synthetic Biology
Postgenome
Research & Development

OCTOBER 5-10, 2025 YEREVAN, ARMENIA

Creators: Lana Karapetyan, Arsen Arakelyan

Submitter: Lana Karapetyan

Investigations: No Investigations

Studies: No Studies

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Created: 20th Oct 2025 at 08:51

Abstract Book - Low Dose Radiation Risks: Present Research & Future Perspectives

Low dose radiation risks: present research and future perspectives

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Creator: Arsen Arakelyan

Submitter: Arsen Arakelyan

Investigations: No Investigations

Studies: No Studies

Assays: No Assays

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Created: 3rd Apr 2025 at 10:44

Program - Low Dose Radiation Risks: Present Research & Future Perspectives

Low dose radiation risks: present research and future perspectives

No description specified

Creator: Arsen Arakelyan

Submitter: Arsen Arakelyan

Investigations: No Investigations

Studies: No Studies

Assays: No Assays

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Created: 3rd Apr 2025 at 10:42

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Patient-specific induced pluripotent stem cells (iPSCs)

Study of the molecular mechanisms of familial Mediterranean fever using genetic engineering and functional genomics

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Patient-specific induced pluripotent stem cells (iPSCs) are reprogrammed somatic cells derived from individual patients through the expression of key transcription factors (e.g., OCT4, SOX2, KLF4, and c-MYC). These cells exhibit pluripotency, allowing them to differentiate into various cell types and serve as in vitro models for studying disease mechanisms, drug screening, and regenerative medicine.

Attributes: Sample Name (String) *, Type (String) *, Condition (String) *, Link (String) , Location (String)

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Created: 5th Feb 2025 at 06:34

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RAUi002-A

Study of the molecular mechanisms of familial Mediterranean fever using genetic engineering and functional genomics

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Type: Patient-specific induced pluripotent stem cells (iPSCs)

Creators: Arsen Arakelyan, Lana Karapetyan, Roksana Zakharyan

Submitter: Arsen Arakelyan

Created: 9th Feb 2025 at 20:08

RAUi001-C

Study of the molecular mechanisms of familial Mediterranean fever using genetic engineering and functional genomics

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Type: Patient-specific induced pluripotent stem cells (iPSCs)

Creators: Arsen Arakelyan, Lana Karapetyan, Roksana Zakharyan

Submitter: Arsen Arakelyan

Created: 9th Feb 2025 at 20:07

RAUi001-B

Study of the molecular mechanisms of familial Mediterranean fever using genetic engineering and functional genomics

(Show All)

Type: Patient-specific induced pluripotent stem cells (iPSCs)

Creators: Arsen Arakelyan, Lana Karapetyan, Roksana Zakharyan

Submitter: Arsen Arakelyan

Created: 9th Feb 2025 at 20:04

RAUi001-A

Study of the molecular mechanisms of familial Mediterranean fever using genetic engineering and functional genomics

(Show All)

Type: Patient-specific induced pluripotent stem cells (iPSCs)

Creators: Arsen Arakelyan, Lana Karapetyan, Roksana Zakharyan

Submitter: Arsen Arakelyan

Created: 9th Feb 2025 at 20:01

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Presentations slides and talks of the "“Low dose radiation risks" NATO-ARW workshop

Archive contains presentation slides and recorded talks of the “Low dose radiation risks: present research and future perspectives” Advanced Research Workshop.

Maintainers: Arsen Arakelyan

Number of items: 10

Tags: Slides, Presentations

Created: 4th May 2025 at 05:01, Last updated: 4th May 2025 at 05:25