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Elucidating transcriptional rewiring on hematological malignancies via computational methods

Project description

Computational methods detect rewiring of gene regulation in cancer

Just as many diseases are interlinked, many genes or parts of genes can interact together to control specific cellular functions. They play an important role in development, differentiation and response to environmental cues and are also critical to tumour development. These gene regulatory networks (GRNs) control the spatial and temporal expression of genes by controlling gene transcription into mRNA. Further, the GRNs themselves are not hardwired but can change in association with different phenotypes. The EU-funded LINKER project is applying computational methods to identify GRNs from RNA sequence data and study their rewiring in multiple myeloma and acute myeloblastic leukaemia, two important haematological malignancies. The study will include evaluating the potential prognostic utility of the novel GRN data.

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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MSCA-IF-EF-RI - RI – Reintegration panel

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2019

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Coordinator

FUNDACION PARA LA INVESTIGACION MEDICA APLICADA FIMA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 172 932,48
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AVENIDA DE PIO XII 55
31008 Pamplona
Spain

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Region
Noreste Comunidad Foral de Navarra Navarra
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Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 172 932,48
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