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Elucidating transcriptional rewiring on hematological malignancies via computational methods

Total Cost €


EC-Contrib. €






 LINKER project word cloud

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

landscape    prognostic    pathogenesis    myeloblastic    implicated    coined    crispr    acute    hematopoietic    regulatory    diseases    critical    gain    group    follow    cell    cas9    genes    stepwise    additional    rnaseq    phenotype    mm    biomarkers    uncover    myself    activation    phenotypes    functions    plasma    representation    bm    seq    envision    hematological    data    myeloma    multiple    cancer    blast    form    tumor    differential    uncovering    concise    corresponding    technologies    host    leukemia    examine    model    first    gene    computational    supervisor    grn    treatment    translate    shed    disease    transcriptional    translation    cellular    functional    validated    grns    patients    progenitor    global    goals    networks    relationships    clinical    functionally    rna    rewiring    cells    patient    malignancies    function    network    regulate    normal    light    rewired    potentially    insights    efficient    leukemic    linker    hosting    discovered    primary    underlying    optimize   

Project "LINKER" data sheet

The following table provides information about the project.


Organization address
address: AVENIDA DE PIO XII 55
postcode: 31008

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 Spain [ES]
 Total cost 172˙932 €
 EC max contribution 172˙932 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2020
 Duration (year-month-day) from 2020-03-01   to  2022-02-28


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Genes and their corresponding pathways form networks that regulate various cellular functions that are critical in tumor development. These networks, coined Gene Regulatory Networks (GRNs), define the regulatory relationships among genes and provide a concise representation of the transcriptional regulatory landscape of the cell. Further, different phenotypes can lead to activation of different functional pathways by different global rewiring of the underlying GRNs. To uncover such transcriptional rewiring, in this project I will further advance and optimize a recent efficient computational method developed by myself, coined LINKER, aiming at uncovering GRNs from RNAseq data; and given those networks, develop efficient differential network analysis methods that will shed light into the regulatory rewiring associated with phenotype. As one of the key goals of this proposal is the translation of computational methods to advance clinical cancer knowledge, I will work with the hosting group to apply LINKER to uncover the transcriptional rewiring associated to hematological malignancies. Specifically, I will apply LINKER in a stepwise model first on available RNA-seq data from multiple myeloma and acute myeloblastic leukemia, and second to primary data from patients with these diseases provided by the hosting supervisor. Rewired GRNs between MM and normal BM plasma cells and between leukemic blast and normal hematopoietic progenitor cells, potentially implicated in the pathogenesis of the disease, will be functionally validated by state of the art gain and loss of function technologies (CRISPR/cas9). As data provided by the host institution includes clinical follow up from patients we will also examine the prognostic value of our identified GRN. I envision that LINKER will provide additional novel insights to our understanding of the key rewiring associated with these malignancies, increased by our ability to translate the discovered biomarkers to patient treatment.

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

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