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PHENOSPACE SIGNED

Quantifying behavioural phenotype space: chemistry-to-gene screens and combination therapies

Total Cost €

0

EC-Contrib. €

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Partnership

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Project "PHENOSPACE" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

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 United Kingdom [UK]
 Total cost 1˙917˙847 €
 EC max contribution 1˙917˙847 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2016
 Duration (year-month-day) from 2016-12-01   to  2021-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 1˙917˙847.00

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 Project objective

A central goal of precision medicine is to tailor treatments for individuals based on their genomic sequence. However, many common diseases are associated with mutations in multiple genes and drugs often interact with multiple targets, making it difficult to go from genome sequence to drug selection. Spontaneous locomotion in the nematode C. elegans provides a model to address fundamental questions about the mapping between chemical and genetic perturbation and complex phenotypes. To take full advantage of this potentially powerful model system, we will develop high-throughput tracking technology, both hardware and software, and use it to measure changes in worm behaviour in response to treatment with small molecules and genome-wide RNA interference. The result will be an unprecedented view of a multidimensional phenotype space in a genetically tractable model animal that will allow us to predict mechanisms of action, discover new gene-behaviour associations, and suggest new indications for approved drugs. We will then analyse this mapping to define design principles for combination therapies and test them quantitatively in vivo. The final aim is to combine automated phenotyping and liquid handling with a genetic algorithm to evolve complex drug cocktails. The result will be a better understanding of the potential of precision medicine and progress towards quantitative methods to realise that potential with combination therapies.

 Publications

year authors and title journal last update
List of publications.
2018 Avelino Javer, Lidia Ripoll-Sánchez, André E.X. Brown
Powerful and interpretable behavioural features for quantitative phenotyping of Caenorhabditis elegans
published pages: 20170375, ISSN: 0962-8436, DOI: 10.1098/rstb.2017.0375
Philosophical Transactions of the Royal Society B: Biological Sciences 373/1758 2019-06-27

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