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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.

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

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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