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Massive Reverse Genomics to Decipher Gene Regulatory Grammar

Objective

MRG-GRammar aims to devise an entirely new strategy for deciphering the regulatory rules of gene regulation. We will leverage Synthetic Biology with cutting-edge DNA synthesis technologies and high-throughput analysis to generate new types of biological datasets that systematically explore all possible regulatory landscapes rather than just the naturally occurring regulatory sequences.
The extensive and unbiased nature of these unique datasets will allow us to build new models explaining different aspects of regulatory activity, which will be tested in second-generation libraries, designed based on model predictions. Consequently, through such an iterative process, we expect to make a significant breakthrough in deciphering, and evolving, the regulatory code. Our strategy synergizes four orthogonal objectives that will form a new knowledge base from which the regulatory algorithm can be derived. We will employ our strategy on diverse model organisms from the tree of life, from single cell to whole organism: bacteria, yeast, mouse ex-vivo cells, human cell-lines and finally, whole D. melanogaster and mouse embryos.
We expect this multidisciplinary synthetic biology approach to generate a major technological advance, which will provide the community with algorithms that will not only decipher extant natural regulatory code, but also interpret variations leading to a profoundly deeper understanding of the origins of many diseases. We expect our models to also serve as a reference in designing and implementing accurate and more controllable synthetic biology devices, with applications in fuel production, healthcare and other industrial fields. Thus, our ultimate goal is to substantially accelerate the advance of technologies and knowledge related to generating systematic and personal therapeutic solutions based on the analysis of each individual's natural genomic variations.

Call for proposal

H2020-FETOPEN-2014-2015

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Sub call

H2020-FETOPEN-2014-2015-RIA

Coordinator

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Net EU contribution
€ 902 000,00
Address
Senate Building Technion City
32000 Haifa
Israel

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Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00

Participants (6)

WEIZMANN INSTITUTE OF SCIENCE
Israel
Net EU contribution
€ 721 273,00
Address
Herzl Street 234
7610001 Rehovot

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Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
EUROPEAN MOLECULAR BIOLOGY LABORATORY
Germany
Net EU contribution
€ 850 848,75
Address
Meyerhofstrasse 1
69117 Heidelberg

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Region
Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis
Activity type
Research Organisations
Non-EU contribution
€ 0,00
IMPASARA LIMITED
United Kingdom
Net EU contribution
€ 189 000,00
Address
43-45 Dorset Street 2nd Floor
W1U 7NA London

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
London Inner London — West Westminster
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 0,00
AGILENT TECHNOLOGIES LDA ISRAEL LTD

Participation ended

Israel
Net EU contribution
€ 38 750,00
Address
94 Em Hamoshavot Road Ofer Business Park Dekel Bui 7th Floor
4970602 Petach Tikva

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 0,00
KAROLINSKA INSTITUTET
Sweden
Net EU contribution
€ 716 138,00
Address
Nobels Vag 5
17177 Stockholm

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Region
Östra Sverige Stockholm Stockholms län
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
GENOME RESEARCH LIMITED
United Kingdom
Net EU contribution
€ 581 651,25
Address
The Gibbs Building, Euston Road 215
NW1 2BE London

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Region
London Inner London — West Camden and City of London
Activity type
Research Organisations
Non-EU contribution
€ 0,00