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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.

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

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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