Objective
ENLIGHT-TEN is a European Network Linking Informatics and Genomics of Helper T cells: our mission is to provide cross-disciplinary training in cellular immunology and big data analysis such that we train a new generation of researchers to fully exploit the power of emerging technological platforms. Our network of TEN beneficiaries combines T cell expertise with state-of-the-art technologies such as next generation sequencing (NGS), bioinformatics, multi-colour flow cytometry, preclinical models and tailored genome editing. Trainees will acquire a comprehensive knowledge in T cell immunology and the capacity to generate and interrogate big data sets as well as expertise in identifying novel biomarkers and developing therapeutic concepts. As such the training programme will provide an ideal stepping-stone for creative and innovative early stage researchers (ESRs) to enter and strengthen Europe’s academia as well as pharmaceutical and bioinformatics companies.
The research focus of the network lies in the identification of extrinsic and intrinsic factors that control development, differentiation and plasticity of helper T cell subsets with particular emphasis on how T cell differentiation impacts on human diseases. The generation of large data sets is an emerging and challenging field, and there is high demand in both the academic sector as well as pharmaceutical companies for researchers to be able to analyse, integrate and exploit this rich source of information. ENLIGHT-TEN will combine the individual strengths of innovative laboratories and enterprises from complementary disciplines to provide unique interdisciplinary training for 13 ESRs, placing them at the forefront of this emerging field. Trainees will be empowered to perform cutting-edge analysis of the steadily increasing number of different T cell subsets, which play highly diverse and critical roles in the development of autoimmune diseases, making them a key target for pharmaceutical companies.
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.
- medical and health sciences medical biotechnology genetic engineering gene therapy
- natural sciences computer and information sciences data science big data
- medical and health sciences basic medicine immunology autoimmune diseases
- medical and health sciences basic medicine pathology
- medical and health sciences basic medicine immunology immunotherapy
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers
See all projects funded under this programme
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-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)
See all projects funded under this funding scheme
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-ITN-2015
See all projects funded under this callCoordinator
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.
38124 Braunschweig
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.