Objetivo
Lymph nodes (LN) are communication centers within the lymphatic network that instruct T cell priming and differentiation in homeostasis and disease. Multiple layers of control are achieved by a complex network of signals from stromal and immune cell compartments. As a result, spatially segregated LN niches coexist that foster diverse T cell lineages. In the context of cancer, T cell differentiation is pushed towards the lineage of exhaustion, with a progenitor exhausted T cell population arising in the LN. Hence, LN are central anatomic sites where T cell exhaustion can be controlled and reversed to eliminate cancer. The key question of REWIRE is: What microenvironmental factors determine the differentiation and maintenance of progenitor exhausted T cells in the LN?
Tumor-derived signals reprogram stromal and immune cells within tumor-draining LN. Thus, a premetastatic niche is formed that supports future metastatic seeding while establishing an immunosuppressive microenvironment. I hypothesize that signals guiding T cell differentiation are altered by premetastatic remodeling of the LN niche, resulting in the generation of exhausted T cells.
In this project, I aim to (1) decode spatial determinants of the progenitor exhausted T cell niche; and to (2) manipulate the tumor-draining LN ecosystem to control T cell immunity. The overarching goal is to dissect how tissue architecture directs molecular responses within the LN niche to regulate T cell exhaustion. We will use high-dimensional imaging technologies to chart the spatial context of progenitor exhausted T cells following tumor progression; as well as a novel myeloid cell-based in vivo delivery platform to specifically target tumor-draining LN.
REWIRE will uncover basic mechanisms of communication between the LN microenvironment and differentiating T cells in the LN; as well as explore the novel concept of controlling T cell responses via manipulating key-features of the LN niche.
Ámbito científico (EuroSciVoc)
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
- ciencias médicas y de la saludmedicina clínicaoncología
- ciencias naturalesciencias biológicasecologíaecosistemas
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Palabras clave
Programa(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régimen de financiación
HORIZON-ERC - HORIZON ERC GrantsInstitución de acogida
1090 Wien
Austria