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DevoSignGammaDelta SIGNED

Tracking γδ T cell development and TCRγδ proximal signalling

Total Cost €


EC-Contrib. €






 DevoSignGammaDelta project word cloud

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acquired    signalling       benefits    initiated    lineage    limited    last    tcr    fine    molecular    protein    delta    programming    single    sequencing    basis    immune    receptor    immunity    independently    outstanding    manipulation    conserved    efficient    relationships    clinical    constituents    techniques    markers    thymic    landscape    skills    cell    alpha    subset    privileged    researcher    cells    tumour    environment    barcoding    immunotherapy    precursor    career    cellular    network    cytometry    move    intensively    species    determinants    lines    gamma    antigen    scientific    optimal    beta    gain    mrna    presentation    unprecedented    developmental    killing    types    rna    innovative    edge    evolutionary    cancer    activation    attractive    transferable    experiment    supervisor    decades    experimental    expertise    stimulating    histocompatibility    functional    stage    flow    combined    pioneer    elucidate    contributes    synergy    deep    mhc    form    implicated    tuning    cutting   

Project "DevoSignGammaDelta" data sheet

The following table provides information about the project.


Organization address
city: LISBOA
postcode: 1649 028

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Portugal [PT]
 Total cost 160˙635 €
 EC max contribution 160˙635 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2020-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

T cells are key constituents of our immune system. Two types of T cells are conserved evolutionary and across species: αβ and γδ T cells. While αβ T cells have been intensively studied during the last decades, our knowledge on the development and activation of γδ T cells is still limited. Recently, γδ T cells have become increasingly attractive for immunotherapy of cancer due to efficient killing of tumour cells independently of major histocompatibility complex (MHC) antigen presentation. The proposed project will elucidate how T cell receptor (TCR) signalling is initiated in γδ T cells; and how it contributes to the developmental programming of γδ T cell subsets strongly implicated in cancer immunity. In a pioneer experiment, cellular barcoding and single-cell RNA sequencing will be combined with recent γδ T cell subset markers to gain unprecedented insight into precursor-product and lineage relationships in γδ T cell development; and towards identifying its key molecular determinants. Moreover, TCRγδ signalling will be addressed in thymic subset development at protein and mRNA level by cutting-edge flow-cytometry based techniques. Results of both experimental lines will be integrated to elucidate TCRγδ signalling characteristics and their impact on subset development and functional programming of γδ T cells. The acquired knowledge will enhance our understanding of γδ T cells and allow for their manipulation and fine-tuning in clinical applications. The supervisor’s outstanding expertise in γδ T cells and their role in cancer, in synergy with the researcher’s deep experience in antigen receptor signalling, form the optimal basis for this challenging project. Moreover, the researcher strongly benefits by increasing her research technology and transferable skills in a new, stimulating scientific environment within a privileged EU network. This will enable her to move to the next career stage and to further contribute to the innovative research landscape in Europe.

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The information about "DEVOSIGNGAMMADELTA" are provided by the European Opendata Portal: CORDIS opendata.

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