Understanding collective mechanisms of cell fate regulation using single-cell genomics
Sector: Electric Vehicles (EVs) • Location: Germany
Source: EU Funding & Tenders Portal
Biological systems rely on an influx of energy to build and maintain complex spatio-temporal structures. A striking example of this is the self-organisation of cells into tissues, which relies on an interplay of molecular programs and tissue-level feedback. The mechanistic basis underlying these processes is poorly understood. The recent advent of single-cell sequencing technologies for the first
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Status
Original status | ongoing |
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Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
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Description
Description | Biological systems rely on an influx of energy to build and maintain complex spatio-temporal structures. A striking example of this is the self-organisation of cells into tissues, which relies on an interplay of molecular programs and tissue-level feedback. The mechanistic basis underlying these processes is poorly understood. The recent advent of single-cell sequencing technologies for the first time gives the opportunity to probe these processes with unprecedented molecular resolution in vivo. Biological function, however, relies on collective processes on the cellular scale which emerge from many interactions on the microscopic scale. But what can we learn about such collective processes from detailed empirical information on the molecular scale? Concepts from non-equilibrium statistical physics provide a powerful framework to understand collective processes underlying the self-organisation of cells. In the proposed research endeavour, we will combine the possibilities of novel single-cell technologies with methods from non-equilibrium statistical physics to understand collective processes regulating cellular behaviour. Using this conceptually new approach, we will 1) unveil collective epigenetic processes during differentiation, reprogramming and ageing, 2) determine how the interplay between different layers of regulation leads to the emergence of mesoscopic spatio-temporal structures in vivo, and 3) understand universal fluctuations in gene expression to unveil mechanistic principles of cellular decisions. Our theoretical work will be challenged by single-cell sequencing experiments performed by our collaborators. We will overcome important conceptual limitations in an emerging technology in biology and pioneer the application of methods from non-equilibrium statistical physics to single-cell genomics. At the same time, we take an interdisciplinary approach to tackle questions at the frontier of non-equilibrium physics. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
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Source
Source reliability | High |
Data quality score | 100% |
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URL | obfuscated_data,obfuscateddata.com |
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