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Computational scanning for responding clonotypes in immune repertoires

Project description

Streamlining immune repertoire analysis for personalised medicine

Personalised medicine is all about tailoring medical treatments and interventions to the unique characteristics of individual patients. In immune-based therapies and vaccine design, this involves considering the diversity of T and B cells of each person – known as their immune repertoire. However, the identification of responsive immune cell clones is often costly and labour-intensive. The ERC-funded RESPOND project aims to streamline the process of immune cell clone analysis through a computational approach. Different algorithms that take into consideration various immune cell clone features will be integrated into a tool that identifies the clones responding to specific viruses.

Objective

Personalized medicine promises to exploit the diversity of human immune repertoires to design targeted T cell and B cell--based vaccines and therapeutics. However, even for mass vaccine design, identifying responding clonotypes to new viruses is costly, labor intensive and time consuming.
RESPOND turns existing algorithmic solutions for identifying responding immune clonotypes into a user-friendly platform to aid drug and therapeutics discovery. RESPOND combines different algorithmic solutions and finds the best computational approach to fit the user’s needs. It is based on four methods developed during the ERC CoG STRUGGLE project: ALICE, NoiSET, fSTAR and HLA-Guessr. They are based on different properties of responding clonotypes, from sequence similarity to abundance and publicness. The idea of RESPOND is to integrate these features in a user-friendly tool that exploits the strengths of all methods to find the best answer to the practitioner’s query. RESPOND will return lists of candidates for responding clonotypes and a statistical analysis of their occurrence in databsses.
Collaborating with big pharma, start-ups, medical researchers and practitioners, RESPOND will develop computational solutions to reduce the costs of biotechnological discovery and significantly decrease the time to test new vaccines and treatments. Based on consulting and feedback we will aim to give the user what they need in an appealing interface. The tool will be of use for everyone involved in exploiting immune repertoires for treatment and prophylactics, from personalized medicine, mass vaccine design to agriculture. RESPOND will pursue commercialization and market solutions both within academia, the biotechnology and medical sectors.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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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) ERC-2024-POC

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Host institution

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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.

€ 150 000,00
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

Beneficiaries (1)

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