Project description
Predicting the binding specificity of T cells against cancer antigens
T lymphocytes are key cells of the immune system that recognise antigens on infected cells and directly kill them or prime other cells to mount an immune response. However, many aspects regarding the mechanisms of T cell-mediated immunity remain unresolved. The EU-funded MT-PoINT project aims to understand the binding specificity of T cells. Researchers will analyse sequencing data to identify patterns predictive of the interaction of the T cell receptor with a given antigenic epitope. Results will significantly improve the design and development of personalised immunotherapies involving engineered T cells.
Objective
T cells are a key element of the human immune system. Upon binding to antigenic peptides (called T cell epitopes), T cells can induce the death of infected cells or prime and regulate other immune cells. In cancer immunotherapy treatments, T cells are genetically re-engineered to recognize cancer epitopes and destroy malignant cells. Unfortunately, it still remains challenging to determine which T cells can target a specific epitope, both from a computational and experimental point of view. This limits mechanistic understanding of T-cell-mediated immunity and translational applications for disease treatments.
Thanks to advances in high-throughput sequencing technologies, sequence data of T cells coupled with their cognate epitopes are accumulating at an unprecedented pace, offering unique opportunities to develop data-driven T cell-epitope interaction predictors.
The goal of the MT-PoINT project (Motif in T cells for the Prediction of INTeractions) is to identify patterns in T cells sequences that underlie the binding specificity, interpret them at the structural level, and to develop sequence-based predictors of T cell-epitope interactions (Aim1) with a special focus on T cells targeting cancer epitopes (Aim2). My project will capitalize on a unique dataset of publicly available and in-house generated data that was not available in previous studies, and T cell sequence data from cancer patients of Lausanne University Hospital will allow me to benchmark the in-silico predictors in a clinically relevant setting.
Accurate predictions of TCR-epitope interactions can narrow down the list of T cell candidates for personalized cancer immunotherapies, and significantly accelerate cancer immunotherapy clinical developments.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences biochemistry biomolecules
- medical and health sciences clinical medicine oncology
- medical and health sciences basic medicine immunology immunotherapy
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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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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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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) H2020-MSCA-IF-2020
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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.
1015 LAUSANNE
Switzerland
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.