Project description
Protease sensors for disease diagnosis
Proteases, known for their role in breaking down proteins into smaller polypeptides, play a crucial role in various diseases by modulating protein activity and degradation. Dysregulated protease activity has been linked to various conditions. As such, proteases have emerged as valuable biomarkers for disease diagnosis and progression. However, real-time analysis of disease-associated protease activity remains a challenge. The EU-funded MUNASET project aims to develop a graphene-based biosensor platform for detecting multiple proteases in serum using a sensing mechanism that does not require protein-labelling. Researchers will initially validate the system for major depressive disorder but plan to expand its application to other diseases, advancing point-of-care diagnostics.
Objective
Proteases recently emerged as a promising new class of biomarkers with a broad diagnostic, prognostic and therapeutic potential for different human diseases including neurological and psychiatric diseases, several types of cancer, and immune system disorders. However, there is a lack of tools for real-time activity analysis of disease-related protease biomarkers. To address this issue, we propose to develop a highly sensitive graphene-based biosensor platform for parallel detection of multiple proteases in serum. We will exploit a new label-free sensing mechanism based on charge removal due to cleavage of designer peptides by proteases. As a specific business case, we plan to address therapy response prediction along treatment of major depressive disorder (MDD). MDD is one of the most common and burdensome mental disorders worldwide. MDD is also among the most expensive brain diseases in Europe. While effective treatments exist, there is a high variability in treatment response. There are no serum-based tests to predict personalized therapy for MDD patients. The effective treatment is identified through trial and error, a great burden for patients and the health care system. A rapid, sensitive and easy-to-use test would allow faster and more precise treatment identification, improving therapy outcomes and reducing hospitalization times. Here, we plan to detect two protease biomarkers associated with MDD. The biosensors will be validated in clinical serum samples. Arrays of graphene biosensors will be integrated on silicon wafers with a multiplexed readout matrix to realize a miniaturized sensor system with multi-analyte detection capability, high dynamic range, high precision, low detection limit, and low material consumption. The resulting platform technology may enable various point-of-care diagnostic and therapy prediction tools. This will help secure industrial leadership of the EU over the entire value chain of novel graphene-based bio-analytical tools.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors biosensors
- engineering and technology nanotechnology nano-materials two-dimensional nanostructures graphene
- natural sciences biological sciences biochemistry biomolecules
- medical and health sciences basic medicine immunology
- medical and health sciences clinical medicine oncology
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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)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.3 - Emerging enabling technologies
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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.
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.
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-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2022-DIGITAL-EMERGING-02
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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.
67659 KAISERSLAUTERN
Germany
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.