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From black-box Data to TRUSTworthy LC-MS METabolomics IDentifications

Objective

Metabolomics is growing rapidly, surpassing 15,000 publications annually. Untargeted LC-MS, the dominant analytical technique, generates thousands of molecular features per experiment, but only a small fraction can be confidently identified, mapped to biochemical pathways, and translated into meaningful biological insight. Limitations in analytical reproducibility and in the coverage and usability of mass spectral libraries lead to misannotations and poor pathway integration, creating significant scientific and economic inefficiencies and hindering the broader adoption of metabolomics in clinical and industrial settings.
TRUST METID project addresses this systemic challenge by integrating advances across three critical domains: signal generation and utilization, computational work towards metabolite identification, and pathway mapping. The project combines investigations on analyte detection in LC-MS with the development of artefact-resistant data processing workflows, improved annotation confidence scoring systems, and robust strategies for biochemical validation and pathway integration.
Through a structured programme of 124 months of international/intersectoral secondments, TRUST METID project brings together academia, industry, and data infrastructure partners to enable knowledge exchange. Researchers will co-develop standards, interoperable tools, and workflows, while contributing to training materials, tutorials, protocols, and community guidelines.
Via international industry-academia collaboration, TRUST METID will contribute in transforming LC-MS metabolomics metabolite identification from a largely fragmented workflow into a mechanistically grounded, reproducible analytical framework, to significantly increase identification confidence, reduce false discoveries, and enhance biological interpretability. The project will deliver lasting impact through open resources, improved databases supporting the reliable translation of metabolomics into real-world applications.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff Exchanges

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2026-SE-01

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Coordinator

ARISTOTELIO PANEPISTIMIO THESSALONIKIS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 330 880,00
Address
KEDEA BUILDING, TRITIS SEPTEMVRIOU, ARISTOTLE UNIVERSITY CAMPUS
546 36 THESSALONIKI
Greece

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Region
Βόρεια Ελλάδα Κεντρική Μακεδονία Θεσσαλονίκη
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (4)

Partners (6)