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.
Projectdetails
Introduction
Multicellular life relies on coordinated physical interactions and communication between cells. In these interactions, cells exchange information that determines their fate, physiological state, and behavior.
Research Questions
The substantial transcriptional heterogeneity that is evident even among cells considered the same type, however, raises questions about exactly which temporal and spatial interactions regulate development and homeostasis.
Developmental Context
During development, for instance, multipotent neural crest cells migrate along different pathways in which they encounter microenvironments that are thought to instruct their migration and fate choices.
Objectives
To ultimately reveal how cell communication shapes cell identities and cellular decisions, we need to know the transcriptional state of a cell and that of its neighbors.
Current Limitations
Current technologies either:
- Sequence single cells at high transcriptional resolution
- Localize cells in their spatial context but without capturing their precise transcriptional configuration.
Proposed Approach
To overcome these limitations, we will establish a novel approach that provides high-resolution transcriptomic information on cellular microenvironments. We will use this approach to uncover the interactions and communication codes that neural crest cells are exposed to along their developmental path.
Strategies for Identification
In addition, we will develop strategies to systematically identify cell-cell interactions likely to determine migration and cell fate decisions, and elucidate their functional role in the developing embryo.
Overall Goal
Our overall goal is to uncover how the diversity of cell interactions orchestrates the development of a complex cell lineage. This approach and the insights obtained here will provide a foundation for studying how cells interact in other systems such as human tissues, and how these interactions are altered in disease.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.900 |
Totale projectbegroting | € 1.499.900 |
Tijdlijn
Startdatum | 1-1-2023 |
Einddatum | 31-12-2027 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- CHARITE - UNIVERSITAETSMEDIZIN BERLINpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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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.
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.
Uncovering the role and regulation of 3D DNA-RNA nuclear dynamics in controlling cell fate decisions
This project aims to elucidate the interplay between 3D genome organization and transcriptome dynamics in early mouse embryos to identify factors influencing cell fate decisions.
How do cells form an embryo: Intracellular, temporal, and phenotypic dissection of mammalian gastrulation
This project aims to understand cellular differentiation during mammalian gastrulation by integrating single-cell transcriptomics with experimental models to uncover mechanisms of embryonic development.
Morphogenesis meets Cell Fate: Dissecting how Mechanical Forces coordinate Development
This project aims to explore how mechanical forces influence morphogenesis and cell fate in Xenopus embryos, integrating biophysical methods to enhance understanding of tissue formation.