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DeepRNA SIGNED

Discovering functional protein-RNA interactions through data integration and machine learning.

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 DeepRNA project word cloud

Explore the words cloud of the DeepRNA project. It provides you a very rough idea of what is the project "DeepRNA" about.

determined    life    maintaining    splicing    protein    examples    me    domain    lateral    amyotrophic    disease    implicated    computing    partitioning    als    molecular    anaemia    encoding    rationalise    trait    thereby    quality    quantitative    experimentally    ataxia    blackfan    gold    standard    genetic    dataset    interactions    medically    record    network    polymorphisms    translation    interactome    diamond    manner    accuracy    deeprna    disorders    interaction    eqtl    graph    mechanisms    track    fellowship    equip    personalised    352    genome    sclerosis    independence    genomic    interdisciplinary    expand    tools    creatively    neural    confident    loci    confidently    validating    recognised    spectrum    542    variants    heterogeneous    binding    eqtls    complementing    am    diseases    rnas    data    rna    proteins    group    transcriptome    experimental    host    expression    medicine    predictions    complemented    defects    aiding    ranging    enabled    team    transferrable    spinocerebellar    associations    human    skills    signalling    aggregation    threatening    employ    globally   

Project "DeepRNA" data sheet

The following table provides information about the project.

Coordinator
FUNDACIO CENTRE DE REGULACIO GENOMICA 

Organization address
address: CARRER DOCTOR AIGUADER 88
city: BARCELONA
postcode: 8003
website: www.crg.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 158˙121 €
 EC max contribution 158˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2020-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACIO CENTRE DE REGULACIO GENOMICA ES (BARCELONA) coordinator 158˙121.00

Map

 Project objective

RNA-binding proteins are implicated across a wide spectrum of human genetic disorders, with molecular mechanisms ranging from aggregation of proteins and RNAs to defects in splicing and translation. Examples include heterogeneous and life-threatening genetic disorders such as Diamond-Blackfan anaemia, spinocerebellar ataxia and amyotrophic lateral sclerosis (ALS) among others.

The DeepRNA project targets genetic diseases via disease-associated variants in the human transcriptome and is enabled by recent data on expression quantitative trait loci (eQTLs) and experimentally determined RNA-protein and RNA-RNA interactions. The data will be complemented with high-quality RNA-protein interaction predictions carried out in the host group that has a strong track record in computing and validating RNA-protein associations.

To my knowledge the use of eQTL variants to study RNA-protein interactions is a novel approach and is useful for developing new tools for personalised medicine. My approach will expand the human interactome in a genome-wide manner beyond experimental data, which is currently available for only 352 of the 1,542 recently described RNA-binding proteins. Complementing experimentally determined interactions with predictions will allow me to expand my analyses of the human interactome to the genomic scale while maintaining accuracy, by using the experimental dataset as a gold standard. I will employ methods such as graph partitioning and graph neural network encoding to rationalise the effects of disease-associated variants on the human interaction network, and make quantitative predictions of polymorphisms associated with genetic diseases, thereby aiding personalised medicine.

I am confident that this fellowship will equip me with the domain knowledge, independence and transferrable skills to confidently and creatively build an interdisciplinary, globally recognised research team within Europe that will focus on medically relevant human signalling systems.

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

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

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