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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.

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

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.

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

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