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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.
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Coordinator

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY

Address

Senate Building Technion City
32000 Haifa

Israel

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 902 000

Participants (6)

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WEIZMANN INSTITUTE OF SCIENCE

Israel

EU Contribution

€ 721 273

EUROPEAN MOLECULAR BIOLOGY LABORATORY

Germany

EU Contribution

€ 850 848,75

IMPASARA LIMITED

United Kingdom

EU Contribution

€ 189 000

AGILENT TECHNOLOGIES LDA ISRAEL LTD

Israel

EU Contribution

€ 38 750

KAROLINSKA INSTITUTET

Sweden

EU Contribution

€ 716 138

GENOME RESEARCH LIMITED

United Kingdom

EU Contribution

€ 581 651,25

Project information

Grant agreement ID: 664918

  • Start date

    1 August 2015

  • End date

    31 July 2018

Funded under:

H2020-EU.1.2.1.

  • Overall budget:

    € 3 999 661

  • EU contribution

    € 3 999 661

Coordinated by:

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY

Israel