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Cell decision capture and control via joint Raman live and omics profiling

Project description

Mechanistic insight into neural development

Neural development relies on progenitor cells that make specific decisions to determine cell fate and generate the many cell types of the human brain. Accumulating evidence reveals a remarkable brain cell diversity, but the mechanisms guiding these decisions remain poorly understood and are often assumed to be stochastic. The ERC-funded MOVIOLA project proposes that neural fate choices are largely deterministic and governed by dynamic molecular processes that are largely unexplored. To uncover them, the project introduces an innovative experimental approach that combines live-cell Raman imaging, multi-omics profiling and engineered molecular tags on proteins. This approach offers the possibility to rewire cell decisions and identify their determinants. Project results are slated to clarify neural specification and improve models and therapies.

Objective

The developing nervous system generates an extraordinary diversity of cell types through a series of critical fate decisions made by neural progenitors. Despite recent progress in cataloging the heterogeneity of brain cells, we lack an understanding of the factors orchestrating their fine specification, especially in humans. As a result, many decision processes have uncharacterized determinants and are accounted for as stochastic, leaving us without control over them. This knowledge gap stems from the absence of a systematic approach to capture dynamic moments of cell decision-making and discover the factors controlling them.
I hypothesize that most fate decisions in the human developing nervous system are not stochastic and, instead, depend on many fine-grained, dynamic mechanisms of cell decision-making. However, only a limited number have been characterized, too few to explain the thousands of cell types in the human brain.
To explore this hypothesis, I propose a novel experimental paradigm to elucidate the molecular determinants governing cell decisions. The approach combines live-cell Raman spectrometry imaging, omics profiling, and inducible degrons. I designed it to operate on cell decisions like a film-editing machine, a Moviola: from an outcome, it learns how to “rewind” to a cell’s decision, “halts” the cell and profiles it for decision determinants, and “edits” it to steer it away from the original outcome.
By applying this approach, we expect to find factors influencing fate decisions in human neural specification and reveal a more deterministic control of neural cell fates, illuminating how the vast cellular diversity originates from decision-making events. The insights gained will offer ways to improve in vitro models and cell therapies, with potential implications in the attenuation of neural disorders. This groundbreaking paradigm revolutionizes the study of cell decision-making, with far-reaching implications across diverse fields of biology.

Fields of science (EuroSciVoc)

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(opens in new window) ERC-2025-STG

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Host institution

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
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.

€ 1 499 329,00
Address
BATIMENT CE 3316 STATION 1
1015 LAUSANNE
Switzerland

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Region
Schweiz/Suisse/Svizzera Région lémanique Vaud
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.

€ 1 499 329,00

Beneficiaries (1)

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