Anna Hakobyan

ORCID: 0000-0003-4085-701X
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About
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Research Areas
  • Genomics and Phylogenetic Studies
  • Single-cell and spatial transcriptomics
  • Microbial metabolism and enzyme function
  • Telomeres, Telomerase, and Senescence
  • Microbial Community Ecology and Physiology
  • Methane Hydrates and Related Phenomena
  • Bioinformatics and Genomic Networks
  • Nonlinear Partial Differential Equations
  • Genetics, Aging, and Longevity in Model Organisms
  • Gene expression and cancer classification
  • Animal Disease Management and Epidemiology
  • Epigenetics and DNA Methylation
  • Advanced Mathematical Modeling in Engineering
  • Metabolomics and Mass Spectrometry Studies
  • Microbial Metabolic Engineering and Bioproduction
  • Vector-Borne Animal Diseases
  • Porphyrin Metabolism and Disorders
  • Viral Infectious Diseases and Gene Expression in Insects
  • Advanced Mathematical Physics Problems
  • RNA Research and Splicing
  • Genomics and Chromatin Dynamics
  • Cancer Genomics and Diagnostics
  • Post-Soviet Geopolitical Dynamics
  • Forensic and Genetic Research
  • DNA Repair Mechanisms

National Academy of Sciences of Armenia
2016-2024

Institute of Molecular Biology
2016-2024

CeMM Research Center for Molecular Medicine
2023-2024

Austrian Academy of Sciences
2023-2024

Vienna Biocenter
2024

Max Planck Institute for Terrestrial Microbiology
2018-2024

St. Anna Children's Cancer Research Institute
2024

University of Vienna
2024

Max Perutz Labs
2024

Community College of Rhode Island
2024

Introduction Autoinflammatory and autoimmune disorders are characterized by aberrant changes in innate adaptive immunity that may lead from an initial inflammatory state to organ specific damage. These possess heterogeneity terms of affected organs clinical phenotypes. However, despite the differences etiology phenotypic variations, they share genetic associations, treatment responses manifestations. The mechanisms involved their initiation development remain poorly understood, however...

10.1371/journal.pone.0187572 article EN cc-by PLoS ONE 2017-11-03

The family Gemmataceae accommodates aerobic, chemoorganotrophic planctomycetes, which inhabit various freshwater ecosystems, wetlands and soils. Here, we describe a novel member of this family, strain PX52T, was isolated from boreal eutrophic lake in Northern Russia. This isolate formed pink-pigmented colonies represented by spherical cells that occurred singly, pairs or aggregates multiplied budding. Daughter were highly motile. PX52T an obligate aerobic chemoorganotroph, utilized sugars...

10.1099/ijsem.0.003904 article EN cc-by INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY 2019-12-04

Abstract Single-cell RNA-seq characterizes biological samples at unprecedented scale and detail, but data interpretation remains challenging. Here we introduce CellWhisperer, a multimodal machine learning model software that connects transcriptomes text for interactive single-cell analysis. CellWhisperer enables the chat-based interrogation of transcriptome in English language. To train our model, created an AI-curated dataset with over million pairs profiles matched textual annotations...

10.1101/2024.10.15.618501 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-10-18

Abstract During the last five decades, Aral Sea has gradually changed from a saline water body to hypersaline lake. Microbial community inhabiting been through succession and continuous adaptation during 50 years of increasing salinization, but so far, microbial diversity not explored. Prokaryotic Large using cultivation‐independent methods based on determination environmental 16S rRNA gene sequences revealed related typical marine or (hyper) saline‐adapted Bacteria Archaea. The archaeal...

10.1002/mbo3.850 article EN cc-by MicrobiologyOpen 2019-05-06

Candidatus Methylospira mobilis is a recently described spiral-shaped, micro-aerobic methanotroph, which inhabits northern freshwater wetlands and sediments. Due to difficulties of cultivation, it could not be obtained in pure culture for long time. Here, we report on the successful isolation strain Shm1, first axenic this unique methanotroph. The complete genome sequence Shm1 was 4.7 Mb size contained over 4800 potential protein-coding genes. array genes encoding C1 metabolic capabilities...

10.3390/microorganisms7120683 article EN cc-by Microorganisms 2019-12-11

Automatic extraction of relations and interactions between biological entities from scientific literature remains an extremely challenging problem in biomedical information natural language processing general. One the reasons for slow progress is relative scarcity standardized publicly available benchmarks. In this paper we introduce BioRelEx, a new dataset fully annotated sentences that capture binding proteins and/or biomolecules. To foster reproducible research on interaction task, define...

10.18653/v1/w19-5019 article EN 2019-01-01

Cancer is a multi-faceted disease with intricate relationships between mutagenic processes, alterations in cellular signaling, and the tissue microenvironment. To date, these processes have been largely studied isolation. A systematic understanding of how they interact influence each other lacking. Here, we present framework for systematically characterizing interaction pairs mutational signatures signaling pathway alterations. We applied this to large-scale data from TCGA PCAWG identified...

10.1016/j.isci.2024.109873 article EN cc-by-nc-nd iScience 2024-05-02

Methylocystis sp. strain SC2 is a representative of the alphaproteobacterial methane oxidizers or type IIa methanotrophs. These microorganisms play crucial role in cycling. Here, we developed an efficient analytical proteomics workflow for SC2. It tackles major challenges related to high amount integral membrane proteins that need be efficiently solubilized and digested downstream analysis. Each step workflow, including cell lysis, protein solubilization digestion, MS peptide quantification,...

10.1021/acs.jproteome.8b00216 article EN Journal of Proteome Research 2018-07-18

All shotgun proteomics experiments rely on efficient proteolysis steps for sensitive peptide/protein identification and quantification. Previous reports suggest that the sequential tandem LysC/trypsin digest yields higher recovery of fully tryptic peptides than single-tryptic proteolysis. Based previous studies, it is assumed advantageous effect requires a high sample denaturation state initial LysC digest. Therefore, to date, all systematic assessments are done in chaotropic environments...

10.1002/pmic.201900136 article EN cc-by PROTEOMICS 2019-09-19

Abstract Motivation: Mean telomere length (MTL) is associated with cancers and age-related diseases, which necessitates identification of genomic environmental factors that impact dynamics. Here, we present a pilot genome wide association (GWA) study for MTL in South Asian population using publicly available next generation whole sequences (WGS), both genotype calculations. Results: the studied was not correlated age, accordance previous reports. Further, identified individuals Sikh religion...

10.1093/bioinformatics/btw027 article EN Bioinformatics 2016-01-22

Abstract Methanotrophs are the sole biological sink of methane. Volatile organic compounds (VOCs) produced by heterotrophic bacteria have been demonstrated to be a potential modulating factor methane consumption. Here, we identify and disentangle impact volatolome on methanotroph activity proteome, using Methylomonas as model organism. Our study unambiguously shows how methanotrophy can influenced other organisms without direct physical contact. This influence is mediated VOCs (e.g....

10.1093/femsec/fiae112 article EN cc-by FEMS Microbiology Ecology 2024-08-09

Telomere biology has been extensively studied in lung adenocarcinomas, but the results so far are controversial and scarce. We aimed at inferring telomere length associated gene regulatory network adenocarcinoma, based on next generation whole genome (WGS) transcriptome (RNAseq) sequencing data. Paired WGS RNAseq data for 26 adenocarcinoma cell lines were obtained from (Suzuki, A, Nucleic Acids Res 2014; 42(22):13557-72). was calculated using in-house software Computel. A partial correlation...

10.1183/13993003.congress-2015.oa3493 article EN 2015-09-01
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