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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.

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

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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