Objective
Many gene expression changes that are associated with disease states have in turn been linked to changes in the genes’ regulatory regions. However, without a ‘regulatory code’ that informs us how DNA sequences determine expression levels, we cannot predict which sequence changes will affect expression, by how much, and by what mechanism.
Here, we aim to arrive at a mechanistic and quantitative understanding of how expression levels are encoded in DNA sequence using a combined experimental and computational approach. To this end, we will construct libraries of >50,000 sequences, fuse them to fluorescent reporters, and genomically integrate them to yeast or human cells. We will then develop methods for accurately measuring, in parallel, the expression of each fused sequence within a single experiment, and for measuring the DNA binding state of each sequence at single cell resolution, resulting in ~1000-fold increase in the scale with which we can study the effect of sequence on expression.
Notably, we will design our experimental system to be modular, allowing us to propose a highly ambitious yet realistic plan in which we will study the effect of sequence on (1) transcriptional and (2) post-transcriptional regulation; (3) Unravel the effect of genetic variation across human individuals on expression; (4) Quantify how cellular fitness depends on the expression level of individual endogenous genes; and (5) Construct a predictive model of the effect of DNA sequence on expression.
Each of our libraries should provide novel insights into a different aspect of gene regulation, leading to new means by which we can interpret whole genome sequencing, which is rapidly being collected for many individuals. In particular, our unified model should allow us to predict expression changes among human individuals based only on their genotypic variation, greatly enhancing the ability to identify common or rare sequence variants that may affect molecular function or cause disease.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences genetics DNA
- 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.
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.
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.
ERC-2013-CoG
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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.
Host institution
7610001 Rehovot
Israel
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.