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Algorithms and experimental tools for integrating very large-scale single cell genomics data

Objective

Robust and flexible tissue- and cell-type specific gene regulation is a definitive prerequisite for complex function in any multi-cellular organism. Modern genomics and epigenomics provide us with catalogues of gene regulatory elements and maps illustrating their activity in different tissues. Nevertheless, we are far from being able to explain emergence and maintenance of cellular states from such data, partly because we so far lacked characterization of individual molecular states and genome control mechanisms at their native resolution - the single cell. Recently, new approaches developed by the single cell genomics community, with several contributions from our group, allow massive acquisition of data on the transcriptional, epigenomic and chromosomal conformation states in large cohorts of single cells. In this research program, we aim to move forward rapidly to bridge a major gap between these experimental breakthroughs and models of genome regulation in complex tissues. We will develop algorithms and models for representing data the transcriptional profiles, DNA methylation landscapes and Hi-C maps of literally millions of cells. Our tools will be designed specifically to leverage on new single cell RNA-seq, single cell Hi-C, single cell capture-pBat and higher order 4C-seq that we will continue to develop experimentally. Furthermore, we shall enhance and optimize our interdisciplinary framework hand in hand with a working model aiming at unprecedentedly comprehensive single cell analysis of E8-E10 mouse embryos. This will provide us with hundreds of worked-out cases of tissue specific gene regulation. The techniques and insights from these studies will then be used to characterize cell type aberrations and epigenetic reprogramming in tumors. The open algorithms, techniques and methodology we shall develop can accelerate research in multiple groups that will utilize single cell genomics to study numerous questions on gene regulation in the coming years.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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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.

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.

(opens in new window) ERC-2016-COG

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Host institution

WEIZMANN INSTITUTE OF SCIENCE
Net EU contribution

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.

€ 2 437 500,00
Address
HERZL STREET 234
7610001 Rehovot
Israel

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Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 2 437 500,00

Beneficiaries (1)

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