Opendata, web and dolomites


Elucidating transcriptional rewiring on hematological malignancies via computational methods

Total Cost €


EC-Contrib. €






 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.

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

Project "LINKER" data sheet

The following table provides information about the project.


Organization address
address: AVENIDA DE PIO XII 55
postcode: 31008

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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "LINKER" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "LINKER" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

POMOC (2019)

Charles IV and the power of marvellous objects

Read More  

TIPTOP (2019)

Tensoring Positive Maps on Operator Structures

Read More  

NaWaTL (2020)

Narrative, Writing, and the Teotihuacan Language: Exploring Language History Through Phylogenetics, Epigraphy and Iconography

Read More