Skip to main content

Massive Reverse Genomics to Decipher Gene Regulatory Grammar

Obiettivo

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.

Invito a presentare proposte

H2020-FETOPEN-2014-2015-RIA
Vedi altri progetti per questo bando

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Indirizzo
Senate Building Technion City
32000 Haifa
Israele
Tipo di attività
Higher or Secondary Education Establishments
Contributo UE
€ 902 000

Partecipanti (6)

WEIZMANN INSTITUTE OF SCIENCE
Israele
Contributo UE
€ 721 273
Indirizzo
Herzl Street 234
7610001 Rehovot
Tipo di attività
Higher or Secondary Education Establishments
EUROPEAN MOLECULAR BIOLOGY LABORATORY
Germania
Contributo UE
€ 850 848,75
Indirizzo
Meyerhofstrasse 1
69117 Heidelberg
Tipo di attività
Research Organisations
IMPASARA LIMITED
United Kingdom
Contributo UE
€ 189 000
Indirizzo
43-45 Dorset Street 2Nd Floor
W1U 7NA London
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
AGILENT TECHNOLOGIES LDA ISRAEL LTD

Partecipazione conclusa

Israele
Contributo UE
€ 38 750
Indirizzo
94 Em Hamoshavot Road Ofer Business Park Dekel Bui 7Th Floor
4970602 Petach Tikva
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
KAROLINSKA INSTITUTET
Svezia
Contributo UE
€ 716 138
Indirizzo
Nobels Vag 5
17177 Stockholm
Tipo di attività
Higher or Secondary Education Establishments
GENOME RESEARCH LIMITED
United Kingdom
Contributo UE
€ 581 651,25
Indirizzo
The Gibbs Building, Euston Road 215
NW1 2BE London
Tipo di attività
Research Organisations