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
Not validated
Not validated
- medical and health sciencesmedical biotechnologygenetic engineeringgene therapy
- natural sciencescomputer and information sciencesdata sciencebig data
- medical and health sciencesbasic medicineimmunologyautoimmune diseases
- medical and health sciencesbasic medicinepathology
- medical and health sciencesbasic medicineimmunologyimmunotherapy
Programme(s)
Coordinator
38124 Braunschweig
Germany
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Participants (11)
WC1E 6BT London
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1090 Wien
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Participation ended
13353 Berlin
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Participation ended
69117 Heidelberg
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1649 028 Lisboa
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CB22 3AT Cambridge
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20014 Turku
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75654 Paris
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8000 Aarhus
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CB10 1SA SAFFRON WALDEN
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51373 Leverkusen
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Partners (6)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1030 Wien
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
SG1 2FX Stevenage
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
CB10 1DR Cambridge
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
80335 Muenchen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1228 Plan Les Ouates Geneve
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.