Cellular models for tissue function in development and ageing
Develop a computational framework to model cellular interactions in tissues, enabling insights into dynamics and gene regulation for applications in cell engineering and immunotherapy.
Projectdetails
Introduction
One of the most fundamental challenges in contemporary biology is, in fact, also one of the most classical ones: how to comprehend macroscopic tissue function from the activities of its microscopic cellular components. The remarkable advent of single cell genomics over the last decade is realizing this challenge at unprecedented scales.
Advances in Measurement
Measurements of the molecular states of thousands or even millions of cells can now be acquired efficiently, and tools for describing cellular states phenomenologically have become well established.
Challenges in Modeling
However, how to model ensembles of cells in tissues is paradoxically even more difficult than before, given this new unprecedented experimental resolution.
Development of a New Framework
To this end, we will develop a new computational and theoretical framework for understanding ensembles of single cells as they interact and dynamically differentiate, proliferate, or degrade.
Model Development
- Parametric and mechanistic models for defining microscopic cell states over a mathematical manifold will be developed.
- The dynamics of ensembles of cells over time and in space will be inferred from new experimental approaches capturing whole tissues over time or within spatially registered domains.
Description of Tissue Dynamics
Importantly, our models will describe tissue dynamics as changes in specific gene regulatory, epigenomic, and signaling programs.
Experimental Approaches
We will develop high-throughput experiments to combinatorially perturb embryonic and hematopoietic systems in order to test such models extensively.
Research Goals
Our research will thereby extend single cell-centric models toward describing dynamics in tissues, with experiments and data collection aiming at rapid translation of the models to actionable and testable strategies for manipulating systems of interest.
Applications
This will be applied to:
- Transparent and epigenetically precise cell type engineering
- Discoveries using a unique resource on human hematopoietic aging
- Deep tissue level analysis of combination immunotherapy
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.937.179 |
Totale projectbegroting | € 2.937.179 |
Tijdlijn
Startdatum | 1-6-2023 |
Einddatum | 31-5-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- WEIZMANN INSTITUTE OF SCIENCEpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Collective Regulation of Cell DecisionsThis project aims to explore how collective tissue properties influence cell decisions in zebrafish by manipulating cell parameters to engineer tissue characteristics and uncover developmental mechanisms. | ERC Starting... | € 2.486.429 | 2025 | Details |
Decoding the Multi-facets of Cellular Identity from Single-cell DataDevelop computational methods combining machine learning and dynamical systems to analyze single-cell data, uncovering cellular identities and interactions to enhance understanding of multicellular systems in health and disease. | ERC Starting... | € 1.484.125 | 2022 | Details |
PErPetuating Stemness: From single-cell analysis to mechanistic spatio-temporal models of neural stem cell dynamicsThis project aims to decode the mechanisms of neural stem cell heterogeneity and behavior through experimental and mathematical approaches, enhancing understanding and manipulation of stemness. | ERC Synergy ... | € 10.858.174 | 2023 | Details |
Uncovering the Diversity of Cell-Cell Interactions that Impact Cell FatesThis project aims to develop a novel method for high-resolution transcriptomic analysis of cellular microenvironments to understand how cell communication influences neural crest cell development and fate. | ERC Starting... | € 1.499.900 | 2023 | Details |
Spatial and temporal regulation of cell competitionThis project aims to unravel the spatial and temporal regulation of cell competition and its effects on tissue composition and tumor growth using an innovative 3D co-culture system and advanced imaging techniques. | ERC Consolid... | € 1.999.993 | 2025 | Details |
Collective Regulation of Cell Decisions
This project aims to explore how collective tissue properties influence cell decisions in zebrafish by manipulating cell parameters to engineer tissue characteristics and uncover developmental mechanisms.
Decoding the Multi-facets of Cellular Identity from Single-cell Data
Develop computational methods combining machine learning and dynamical systems to analyze single-cell data, uncovering cellular identities and interactions to enhance understanding of multicellular systems in health and disease.
PErPetuating Stemness: From single-cell analysis to mechanistic spatio-temporal models of neural stem cell dynamics
This project aims to decode the mechanisms of neural stem cell heterogeneity and behavior through experimental and mathematical approaches, enhancing understanding and manipulation of stemness.
Uncovering the Diversity of Cell-Cell Interactions that Impact Cell Fates
This project aims to develop a novel method for high-resolution transcriptomic analysis of cellular microenvironments to understand how cell communication influences neural crest cell development and fate.
Spatial and temporal regulation of cell competition
This project aims to unravel the spatial and temporal regulation of cell competition and its effects on tissue composition and tumor growth using an innovative 3D co-culture system and advanced imaging techniques.