Opendata, web and dolomites

Diverge SIGNED

Generation of ultra-deep libraries of transcriptional activators for gene therapy

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "Diverge" 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 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-PoC
 Funding Scheme ERC-POC
 Starting year 2019
 Duration (year-month-day) from 2019-04-01   to  2020-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 150˙000.00

Map

 Project objective

We have generated a novel genetic circuit that, by combining an unusual site-specific recombinase and molecular splicing, allows to functionally diversify modular proteins in-vivo in a highly-directed manner. Applying this method to modular transcriptional activators allowed us to generate billions and even trillions of transcription factors variants in-vivo starting from a single base construct. The aim of the DIVERGE PoC project is to to explore the commercial potential of this approach for the isolation of transcriptional activators for human gene activation therapy and to establish a strategy for commercialisation of current and conceivable future implementations of this technology.

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

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

NanoPD_P (2020)

High throughput multiplexed trace-analyte screening for diagnostics applications

Read More  

TALNET (2020)

Transparent Aluminium Networks

Read More  

TOROS (2019)

A Theory-Oriented Real-Time Operating System for Temporally Sound Cyber-Physical Systems

Read More