Quantitative T cell immunology and immunotherapy-old-homepage
Quantitative T cell immunology and immunotherapy
WP1 - Compartmentalisation and dynamics of T cells
This WP requires a combination of novel experimental techniques and modelling (deterministic and stochastic) approaches, and thus mathematicians (B1, B2, B8) and experimental immunologists (B5 and B8) will work closely together. The main objective is to quantify whole body compartmentalisation and kinetic rates of naive and memory T cells and develop suitable mathematical models.
ESR3 - Léa Sta
ESR4 - Elena de Dios Panal
ESR5 - Charandeep Kaur
ESR6 - Giulia Belluccini
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WP2: TCR repertoires in health and disease in blood and tissues
ESRs in this WP will study the relationship between different memory T cell populations in and outside the circulation and will make in-depth studies of the TCR repertoires of purified naive and memory T cell populations (in health and disease) using NGS. The main objective is to develop novel statistical, mathematical and computational tools for naive and memory TCR repertoires to study overlap and clonal sizes.
ESR7 - Carina Bruckmaier
ESR8 - Erdem Şanal
ESR9 - Noor Kherreh
ESR10 - Daniel Luque Duque
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WP3: T cell immunotherapies
Modelling the immune response to antigens is a complex endeavour that no single mathematical approach has so far been able to capture. In order to build quantitative models of immunotherapies, sophisticated new data and multi scale computational methods are required. To investigate T cell signal integration, new experiments will be performed at P1 and interrogated. The main objective is to develop mathematical and computational methods to explore T cell immunotherapies and T cell immunogenicity.
ESR12 - Laura Mora Bitria
ESR13 - Flavia Feliciangeli
ESR14 Van Thuy Truong
ESR15 - HoChan Cheon
This project has received funding from the European Union’s Horizon 2020 research and innovation programme, under H2020-MSCA-ITN-2017 grant agreement number 764698 |