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CompLS -Round 4 - Collaborative project: DeepTCR - Development of advanced deep learning approaches to analyse the T cell immune response at the single cell level - Subproject B

  • Funded by Federal Ministry of Research, Technology and Space (BMFTR)
  • Total publications:2 publications

Grant number: 031L0290B

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Key facts

  • Disease

    N/A

  • Start & end year

    2022
    2024

  • Known Financial Commitments (USD)

    $171,828.21

  • Funder

    Federal Ministry of Research, Technology and Space (BMFTR)

  • Research Location

    Germany

  • Lead Research Institution

    Friedrich-Alexander-Universität Erlangen-Nürnberg

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Immunity

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

2 Publications linked via Europe PMC

Last Updated:4 days ago

View all publications at Europe PMC

Integrating complementary approaches reveals antigen-reactive CD4+ T cell states after SARS-CoV-2 vaccination.

Intercellular nanotube-mediated mitochondrial transfer enhances T cell metabolic fitness and antitumor efficacy.