Objective
The dynamics of cell populations within tissues and organs is a hallmark of multi-cellular organisms. In many pathological states (e.g. cancer, diabetes etc) the functions and quantities of specific cell populations change. The ability to simultaneously and effectively monitor these functions and changes is essential for the study of these pathologies and the development of diagnostics and treatment. While single cell profiling is a multi billion dollar market, currently, unbiased and comprehensive classification of tissues into well-defined and functionally coherent cell subpopulations is impossible due to limitations in technology. Here we propose commercialize a technology we recently developed and published (Jaitin et al Science 2014) - Sequence-Enabled Single cEll identification (SENSEI) - based on massively parallel sequencing of RNA from single cells. Using broad sampling of single cell functional states from multi-cellular tissues we reconstruct biological functions in a bottom-up fashion, starting from the most basic building block – the cell. The potential benefits of this invention are blatantly evident. Since cells are the basic building blocks of multi cellular organisms accurate and dynamic description of cell states and functions is essential for both basic biological research and personalized medicine clinical applications. Our technique is immediately applicable in molecular biology labs, clinics or industry, requires no specific equipment beyond our developed consumables and can provide data on RNAs from hundreds of single cells at the cost of one standard average gene expression profile. Massively parallel single cell RNA sequencing is therefore emerging as a super high-resolution, robust and affordable approach for unbiased functional characterization of complex tissues and is likely going to dramatically change molecular research and have profound clinical applications.
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.
- medical and health sciences clinical medicine endocrinology diabetes
- medical and health sciences clinical medicine oncology
- medical and health sciences basic medicine pathology
- medical and health sciences health sciences personalized medicine
- natural sciences biological sciences genetics RNA
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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-POC - Proof of Concept 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-2014-PoC
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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.
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.