Objective
Gene regulatory networks (GRNs) are an important cellular signal processing mechanism for translating input signals into
appropriate phenotypes by modulating expression of the genome. The quantitative details of how cells process information
through GRNs are still poorly understood, but of central importance in a large number of biological processes. Considerable
progress has been made in mapping the topology of GRNs and more recently in deciphering the relationship between
promoter sequence and function. Nonetheless, it is not yet possible to computationally predict the output of most native
promoters, nor is it trivial to build promoters that integrate signals in a novel and predictive manner. Developing a
quantitative understanding of transcriptional regulation, ultimately leading to the ability to predict entire GRNs will be a
significant achievement and a prerequisite for our ability to engineer biological systems.
I propose a multi-disciplinary approach incorporating biology, engineering, and computational modelling to improve our
quantitative understanding by reverse engineering GRNs in S. cerevisiae. My research group has developed a powerful set
of unique, high-throughput microfluidic technologies that enable the quantitative analysis of GRNs in vitro and in vivo.
Specifically I propose to quantitatively investigate the yeast phosphate regulatory network and to develop a master model
capable of predicting output of the network under various inorganic phosphate concentrations, to develop novel approaches
for modulating GRNs using engineered Zn-finger transcription factors (TF) and CRISPR/Cas, to link GRN output to fitness
in order to develop an understanding of how networks are optimized and evolve, and to reverse engineer an exact
functional copy of the native phosphate regulatory network with orthogonal components.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- natural sciences mathematics pure mathematics topology
- natural sciences biological sciences genetics genomes
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-COG - Consolidator Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2016-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1015 LAUSANNE
Switzerland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.