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LINKER SIGNED

Elucidating transcriptional rewiring on hematological malignancies via computational methods

Total Cost €

0

EC-Contrib. €

0

Partnership

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 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.

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

Project "LINKER" data sheet

The following table provides information about the project.

Coordinator
FUNDACION PARA LA INVESTIGACION MEDICA APLICADA FIMA 

Organization address
address: AVENIDA DE PIO XII 55
city: PAMPLONA
postcode: 31008
website: www.cima.es

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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACION PARA LA INVESTIGACION MEDICA APLICADA FIMA ES (PAMPLONA) coordinator 172˙932.00

Map

 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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