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ImmuNiche SIGNED

Identifying spatial determinants of immune cell fate commitment

Total Cost €


EC-Contrib. €






 ImmuNiche project word cloud

Explore the words cloud of the ImmuNiche project. It provides you a very rough idea of what is the project "ImmuNiche" about.

techniques    preferential    prognosis    conservation    models    bone    microenvironment    compare    blood    composition    microenvironmental    few    tissue    resident    co    tissues    types    pinpoint    mouse    visualizing    strategy    interactions    sub    integrating    predict    cutting    blueprint    normal    markers    marrow    giving    mds    cell    cytokine    healthy    therapeutic    malignancies    pathogenesis    model    hematopoietic    hybridization    resolve    niche    patient    mice    multiplexed    microenvrionmental    poor    situ    regulators    reveal    poorly    fate    mechanisms    seq    rna    fluorescent    edge    architecture    myelodysplastic    stem    resolution    leukaemia    treatment    commitment    prevention    determinants    trajectories    patients    single    donors    cells    differentiation    molecular    functionally    spatial    decades    disease    gene    frequent    murine    computational    progenitor    combination    syndromes    underlying    expression    human    sections    representing    reference    conserved    niches    molecule    globally    malignant    mammalian    jointly    250    localization    predicted    signals   

Project "ImmuNiche" data sheet

The following table provides information about the project.


Organization address
postcode: 80539
website: n.a.

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 Germany [DE]
 Total cost 1˙997˙500 €
 EC max contribution 1˙997˙500 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-COG
 Funding Scheme ERC-COG
 Starting year 2019
 Duration (year-month-day) from 2019-07-01   to  2024-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

The complex architecture of the mammalian hematopoietic system has been studied for decades, yet the molecular mechanisms underlying cell fate commitment remain poorly understood. Although cytokine signals are major determinants of hematopoietic cell fate, only few niches of stem and progenitor cells have been characterized. Here, we propose to resolve the cell type composition of mouse bone marrow by integrating single-cell RNA-seq with high-resolution spatial analysis of gene expression in tissue sections, visualizing ~250 cell type specific markers by multiplexed single-molecule RNA fluorescent in situ hybridization. This approach will reveal preferential co-localization of hematopoietic cells with other bone marrow-resident cell types, and globally predict niches of hematopoietic progenitor sub-types to pinpoint microenvrionmental determinants of hematopoietic cell fate. Based on this reference we will investigate the role of the microenvironment in the pathogenesis of myelodysplastic syndromes (MDS), representing one of the most frequent blood cell malignancies, commonly giving rise to leukaemia with poor prognosis. To investigate conservation of microenvironmental determinants of normal and malignant hematopoietic differentiation in human, we will apply the same strategy to healthy donors and human MDS patients and compare predicted cell types, differentiation trajectories, and niche interactions to those derived from healthy mice and murine MDS models. This approach will reveal conserved niche regulators of cell fate commitment involved in disease pathogenesis, which we will functionally analyse in murine models to identify novel therapeutic targets for prevention and treatment of MDS. Our approach represents a blueprint for investigating human malignancies of under-characterized tissues by applying cutting-edge high-resolution techniques in combination with advanced computational methods to jointly analyse the murine model and human patient microenvironment.

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