OHAMR Call for proposals 2026

General Information

• Project title: Multi-Omics Characterization of Bacteria-Derived Extracellular Vesicles from Antibiotic-Resistant Strains (EV-ResistOmics)
• Type: Project looking for partner
• Organisation: Galata Innovation
• Country: Turkey (TR)
• Career stage: Other.

Research area

• Scientific area(s) of the call:
  1. Topic 1: Identify and develop new combination treatments using existing or innovative antimicrobials or antimicrobial with adjunctive treatments to extend drug efficacy and combat resistance.
• One Health Setting:

  H - Human Health

• Keywords:

  bacterial extracellular vesicles antibiotic resistance multi-omics biomarkers transnational collaboration

• Brief description of your expertise / expertise you are looking for:

  • A.Microbiology & Clinical Partners o Ability to supply bacterial strains with well-characterized resistance profiles o Capacity for strain exchange under appropriate biosafety and legal frameworks o Expertise in culture, resistance assays, and phenotype validation • B. EV Isolation & Characterization Partners o Established workflows for bacterial EV isolation o TEM, NTA, proteomic or molecular EV characterization capabilities • C. Multi-Omics Platforms o Genomics: WGS, variant calling, resistance gene analysis o Transcriptomics: RNA-seq (bacterial and EV) o Lipidomics: LC–MS/MS or GC–MS workflows o Metabolomics: untargeted or targeted MS workflows • D. Bioinformatics and Data Integration Partners o Multi-omics integration pipelines o Advanced modeling, machine learning, network biology o Data management in compliance with FAIR principles

• Brief description of your project / the project you would like to join:

  Antibiotic-resistant bacteria deploy diverse molecular mechanisms to adapt to antimicrobial pressures. Recent findings highlight that bacteria-derived extracellular vesicles (bEVs) serve as vehicles for transferring resistance determinants, regulatory RNAs, lipids, and metabolites that modulate pathogenicity and therapeutic response. However, comprehensive multi-omics datasets comparing bEVs across different resistance phenotypes remain extremely limited. This project proposes a multi-country, coordinated initiative to generate, share, and analyze bEV multi-omics datasets derived from bacterial strains with distinct resistance profiles, supporting the OH-TREAT goal of advancing innovative treatment solutions and improving protocol adherence through mechanistic understanding. The Ev-Resist Omics Project aims to isolate and characterize bacterial extracellular vesicles (bEVs) from antibiotic-resistant and susceptible bacterial strains, and to perform integrated genomic, transcriptomic, lipidomic, and metabolomic analyses to identify signatures associated with resistance and treatment response Specific Objectives • Collect and share bacterial strains with diverse resistance phenotypes across participating countries (subject to legal and biosafety frameworks). • Standardize and harmonize bEV isolation protocols (ultracentrifugation, SEC, density gradients). • Generate a comprehensive multi-omics dataset, including: • Whole-genome sequencing of bacterial isolates • Transcriptomic profiling (bacterial & EV-associated RNA) • Lipidomic analysis of EV membranes • Metabolomic profiling of EV cargo • Integrate multi-omics data using advanced bioinformatics pipelines to identify EV-associated biomarkers of resistance. • Explore diagnostic or therapeutic relevance of identified molecular signatures. Methodological Overview Each partner isolates local clinical or reference strains (e.g., MRSA, ESBL-producers, carbapenem-resistant strains, VRE, etc.).Countries exchange strains or EV preparations, depending on regulatory feasibility.Centralized or distributed omics analysis platforms generate WGS, RNA-seq, lipidomics, and metabolomics data.Bioinformatics partners integrate datasets through: • Differential expression and pathway analyses • Network modeling • Machine-learning–based biomarker discovery Expected Results • A pan-European, high-resolution multi-omics atlas of bEVs from resistant and susceptible isolates. • Identification of EV-linked resistance signatures (RNAs, lipids, metabolites, protein markers). • Candidate biomarkers for diagnostic or monitoring tools. • Mechanistic insights supporting improved therapeutic guidance and adherence modelling.

Hazal Evecen

• Organisation: Galata Innovation
• Position:
• E-mail: hazal.evecen@galatainnovation.com