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73 Publications visible to you, out of a total of 73

Abstract (Expand)

Biobanking has become a cornerstone of biomedical research and precision medicine, enabling population studies, biomarker discovery, and translational research. However, while high-income countries operate mature biobanking systems, middle-income and transitional economies encounter distinct barriers to establishing sustainable and internationally compatible infrastructures. This mini review examines the development of biobanking in Armenia as a representative middle-income case. It highlights key opportunities, such as strong diaspora scientific networks, a growing biotechnology sector, increasing national interest in precision medicine, and Armenia’s strategic geographic position between Europe and Asia. At the same time, significant challenges persist, including limited funding, regulatory and ethical gaps, infrastructure constraints, shortages in specialized technical personnel, and socio-cultural barriers related to sample donation and data sharing. The review outlines strategic approaches adopted in Armenia, including international collaboration, capacity-building initiatives, and alignment with global best practices. Lessons from Armenia’s experience may guide other middle-income and post-Soviet countries in developing effective and resilient biobanking systems.

Authors: Gohar Mkrtchyan, Kristina Avanesyan, Hovsep Ghazaryan, Merry Mazmanian, Marie-Alexandra Alyanakian, Arsene Mekinian, Arsen Arakelyan

Date Published: 13th Jan 2026

Publication Type: Journal

Abstract (Expand)

Environmental exposure to toxic and essential metals can disrupt host immune function through mechanisms involving epigenetic, transcriptional, and post-transcriptional regulation. Although numerous studies have investigated these regulatory layers separately, integrative analyses across molecular levels in relation to metallome is missing. In this study, we performed a targeted multi-omics analysis of six immune-associated genes (NFKB1, CDKN2A, IGF2, H19, ESR1, and APOA5) and corresponding proteins in healthy residents from a long-term mining region (MRR, n = 46) and a non-mining region (NMR, n = 48). Transcriptome data were generated by mRNA sequencing, while DNA methylation data were obtained using targeted bisulfite sequencing by analyzing previously identified differentially methylated positions. Plasma protein levels were measured by enzyme-linked immunosorbent assay, and plasma metal concentrations were quantified using inductively coupled plasma mass spectrometry. We observed significantly higher plasma levels of NFKB1 and CDKN2A proteins, along with lower ESR1 transcript levels, in residents of the mining region compared to the non-mining region. NFKB1 protein levels were associated with both promoter methylation and residence in mining region, suggesting a regulatory cascade from DNA methylation to protein expression. IGF2 protein levels were higher in males and showed positive associations with age and the cumulative Z-score of essential metal mixture burden. Our results show that long-term residence in mining regions is associated with changes in NFKB1 at both the DNA methylation and protein levels, which may serve as a sensitive biomarker of metal exposure.

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

Abstract (Expand)

The Western diet (WD) has been linked to various structural and functional alterations in the left ventricle (LV), but the molecular response of the right ventricle (RV) remains largely unknown. Given the RV’s distinct anatomical and functional characteristics, it is crucial to understand how long-term WD exposure affects RV gene expression, especially in a sex-specific context. Our objective was to perform gene expression profiling of the RV late responses to WD in wild-type mice. Male and female C57BL/6J mice were fed a WD for 125 days from 300 to 425 days of age, and RV tissues were collected at 530 and 640/750 (female/male) days. mRNA sequencing was performed on RV tissues to identify differentially expressed genes (DEGs) between WD-fed and normal diet (ND)-fed groups. Data processing and analysis were conducted using the STAR aligner and DESeq2. WD-induced RV transcriptomic changes were characterized by differential expression of genes associated with cardiac remodeling and transcriptional regulation in both sexes. In females, additional genes showing altered expression were associated with immune response, whereas in males, changes were more limited, primarily involving genes related to circadian rhythm and cardiac remodeling. Echocardiography revealed modest, sex-specific differences: WD-fed females showed a decrease in right-ventricular internal diameter in diastole and a trend toward increased pulmonary trunk diameter, whereas males showed no notable changes. These exploratory results suggest that WD is associated with modest transcriptomic changes in the RV in both sexes, with only minor structural differences observed in females, indicating subtle sex-specific effects after a switch to normal chow.

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

Date Published: 26th Dec 2025

Publication Type: Journal

Abstract (Expand)

Space radiation represents a significant health risk for deep-space exploration, yet its long-term effects on cardiovascular function remain poorly understood. While our previous studies have highlighted persistent transcriptional changes in left ventricular (LV) and right ventricular (RV) tissues after a single whole-body irradiation in mice, a systems-level understanding of pathway activity deregulation is lacking. To address this gap, we applied the Pathway Signal Flow (PSF) algorithm to analyze long-term pathway activity alterations in LV and RV tissues of C57Bl/6J mice exposed to gamma radiation (100 cGy 137Cs) or the simplified Galactic Cosmic Ray simulation (simGCRsim, 50 cGy 500 MeV/n) composition of ion beams. RNA sequencing data were analyzed to assess pathway activity changes, sex-specific effects, and ventricular differences 440 days post-irradiation. We observed marked sex- and ventricle-specific differences in pathway deregulation. Left ventricular tissues in females exhibited broad signaling pathway alterations after simGCRsim exposure, particularly in immune response, cytoskeletal remodeling, and survival-related pathways (e.g., NF-κB, VEGF, and MAPK). In contrast, male RV tissues demonstrated higher pathway deregulation than LV, particularly in PPAR, NF-κB, and HIF-1 pathways, implicating metabolic disruption and survival adaptations. Furthermore, simGCRsim exposure induced greater long-term pathway perturbations than gamma rays. Our findings suggest that sex-dependent and ventricle-specific signaling alterations contribute to long-term cardiovascular risks following space irradiation. Notably, VEGF and NF-κB signaling emerge as key regulators of cardiac adaptation in females. Future studies in larger cohorts, incorporating early-stage molecular responses and broader pathway analyses, are needed to refine cardiovascular risk assessments for space travel.

Authors: Gisane Khachatryan, Tamara Sirunyan, Siras Hakobyan, Suren Davitavyan, Roksana Zakharyan, Ani Stepanyan, Agnieszka Brojakowska, Mary K Khlgatian, Malik Bisserier, Shihong Zhang, David A Goukassian, Arsen Arakelyan

Date Published: 25th Sep 2025

Publication Type: Journal

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

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 (simGCRsim) and gamma (γ) ionizing radiation (IR) on transcriptome changes in right ventricular (RV) tissue after a single low dose (0.5 Gy, 500 MeV/nucleon) full body exposure in C57BL/6J male and female mice. In females, no differentially expressed genes (DEGs) and only 2 upregulated genes in males exposed to γ-IR were revealed. In contrast, exposure to simGCRsim-IR resulted in 4 DEGs in females and 371 DEGs in males, suggesting longer-lasting and sex-biased DEGs after simGCRsim-IR. Overrepresentation analysis of DEGs in simGCRsim-IR males revealed significant enrichment in pathways related to muscle contraction, hypertrophic cardiomyopathy, oxytocin release, the regulation of cytoskeleton, and genes associated with Alzheimer’s, Huntington’s, and Parkinson’s diseases. Our results suggested the RV transcriptome exhibits distinct responses after exposure based on both the IR and sex.

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

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 study, we analyzed TCGA-LGG and CGGA datasets, focusing on telomere length variations, pathway activity, and survival data across IDH subtypes. Additional validation was performed using the GEO COPD and GBM datasets, ensuring consistency in data processing and batch effect correction. Our analysis revealed significant differences in TEL pathway activation between Short- and Long-TL groups, emphasizing the central role of TERT in telomere maintenance. In contrast, ALT pathway activation displayed subtype-specific patterns, with IDH-wt tumors exhibiting the highest ALT activity, primarily driven by the RAD51 branch. Validation using CGGA data confirmed these findings, demonstrating consistent TEL and ALT pathway behaviors across datasets. Additionally, genetic subtype analysis revealed substantial telomere length variability associated with ATRX and IDH mutation status. Notably, IDHwt-ATRX WT tumors exhibited the shortest telomere length and the highest ALT pathway activity. These findings highlight distinct telomere regulatory dynamics across genetic subtypes of LGG and provide new insights into potential therapeutic strategies targeting telomere maintenance pathways.

Authors: Meline Hakobyan, Hans Binder, Arsen Arakelyan

Date Published: 28th Apr 2025

Publication Type: Journal

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