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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.

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

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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