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Predictive Epigenetics: Fusing Theory and Experiment

Predictive Epigenetics: Fusing Theory and Experiment

Objective

Epigenetic mechanisms of gene regulation are profoundly implicated in human health and disease. However, we are still far from a complete mechanistic understanding of many epigenetic processes. Without an understanding of mechanisms we cannot fully understand function in healthy cells, in disease states, and the effects and side effects of therapeutic interventions. This severely limits the development of healthcare strategies. Research in epigenetics has typically been based on experiments and not on theory. Although this has delivered large amounts of information, information alone is not sufficient. Further progress urgently needs a paradigm shift in the way in which we study epigenetics, namely: epigenetics needs mathematics. Mathematical models are essential to capture and understand the complex, dynamic and stochastic nature of epigenetic regulation. Models are immensely powerful because they identify unifying concepts and enable predictions of system properties. Modelling epigenetic processes not only holds the key to a deep mechanistic understanding, but also ultimately, to drug response predictions, patient-specific diagnoses and new therapies. One of the greatest challenges to uniting biology and mathematics is the barrier between disciplines, because education in each field has traditionally been mono-disciplinary. The PEP-NET ITN will overcome these barriers by uniting 16 outstanding European academic laboratories and companies who have pioneered the successful combination of theoretical and experimental epigenetics. PEP-NET will train a new cohort of 15 European researchers to combine quantitative experiments with predictive theoretical models, and to apply this knowledge to basic and applied questions of epigenetic function.

Programme(s)

H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers

Topic(s)

MSCA-ITN-2018 - Innovative Training Networks

Call for proposal

H2020-MSCA-ITN-2018

See other projects for this call

Funding Scheme

MSCA-ITN-ETN - European Training Networks

Coordinator

HUMBOLDT-UNIVERSITAET ZU BERLIN

Address

Unter Den Linden 6
10117 Berlin

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 758 365,20

Website

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Participants (10)

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MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV

Germany

EU Contribution

€ 252 788,40

JOHN INNES CENTRE

United Kingdom

EU Contribution

€ 303 172,56

KOBENHAVNS UNIVERSITET

Denmark

EU Contribution

€ 297 522

FRIEDRICH MIESCHER INSTITUTE FOR BIOMEDICAL RESEARCH FONDATION

Switzerland

EU Contribution

€ 281 276,64

CENTRE EUROPEEN DE RECHERCHE EN BIOLOGIE ET MEDECINE

France

EU Contribution

€ 274 802,04

MAX DELBRUECK CENTRUM FUER MOLEKULARE MEDIZIN IN DER HELMHOLTZ-GEMEINSCHAFT (MDC)

Germany

EU Contribution

€ 252 788,40

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

United Kingdom

EU Contribution

€ 606 345,12

UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II

Italy

EU Contribution

€ 261 499,68

OSPEDALE SAN RAFFAELE SRL

Italy

EU Contribution

€ 261 499,68

DIAGENODE

Belgium

EU Contribution

€ 512 640

Partners (5)

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UNIVERSITY OF EAST ANGLIA

Oxford Nanoimaging Ltd

Oxford Biodynamics Limited

THE TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA CORP

THE UNIVERSITY OF ADELAIDE

Project information

Grant agreement ID: 813282

Status

Ongoing project

  • Start date

    1 November 2018

  • End date

    31 October 2022

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 4 062 699,72

  • EU contribution

    € 4 062 699,72

Coordinated by:

HUMBOLDT-UNIVERSITAET ZU BERLIN

Germany

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Last update: 13 November 2018

Record number: 218438