Transcription in 4D: the dynamic interplay between chromatin architecture and gene expression in developing pseudo-embryos
This project aims to integrate multi-scale dynamics of gene regulation during mammalian embryogenesis using advanced imaging and modeling techniques to enhance understanding of chromatin organization and transcriptional activity.
Projectdetails
Introduction
During mammalian embryogenesis, key events involving DNA and regulatory molecules over seconds and nanometers affect and are affected by a major reorganization of the genetic material in the nucleus over hours and micrometers. How these scales are spanned and integrated into the course of development remains a major unresolved challenge.
Challenges in Current Research
Progress in this quest is difficult for several reasons:
- Current model systems suffer from severe technical limitations.
- Existing analytical approaches probe individual spatial or temporal scales, thus ignoring their evolving interactions.
Traditional live imaging lacks the spatial resolution to accurately delineate chromosome organization at the scale of genes, while bulk molecular assays are ill-suited for studying development over time.
Proposed Approach
Here, we propose a multi-disciplinary approach to the dynamics of developmental gene regulation to understand the details of the underlying mechanisms and their deployment over time.
Methodology
We combine and apply optical, molecular-genomic, and theoretical tools to recently available mammalian pseudo-embryos, allowing:
- Unprecedented precision in developmental staging
- A large amount of material
- Easy optical access
By focusing on select gene loci, we track transcriptional activation and the interactions of distal DNA elements in real-time along with the associated chromatin dynamics using interaction profiles.
Data Analysis and Modeling
Our datasets are iteratively distilled into mathematical models of increasing scope, converging towards an integrative dynamic polymer model that simultaneously captures:
- Long-timescale chromatin rearrangements
- Short-timescale motions of genetic regulatory elements and transcriptional activity
Experimental Validation
We then challenge these models via genome editing and temporally defined interventions by building light-controlled tools to affect the chromosome landscape.
Conclusion
This project aims to reshape our view of how genes are regulated during mammalian development.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 9.546.410 |
Totale projectbegroting | € 9.546.410 |
Tijdlijn
Startdatum | 1-5-2024 |
Einddatum | 30-4-2030 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- INSTITUT PASTEURpenvoerder
- COLLEGE DE FRANCE
- INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA
Land(en)
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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.
Elucidating the interplay between nuclear compartments and transcriptional dynamics during differentiation
DynaDiff aims to explore the role of membraneless organelles in transcriptional regulation during mammalian differentiation using advanced single-cell RNA sequencing techniques.
Shedding light on three-dimensional gene regulation
This project aims to elucidate gene expression regulation during differentiation using an ultra-fast optogenetic system and high-resolution genomic tools to study 3D chromatin interactions.
The spatial organization of gene regulation in embryonic development.
This project aims to investigate the formation and function of transcriptional condensates in animal development and stress response using innovative assays in Caenorhabditis elegans.
Spatio-temporal coupling between transcription and translation dynamics during development
LightRNA2Prot investigates the mechanisms linking mRNA and protein expression to enhance understanding of gene regulation and cell fate decisions during development using quantitative imaging in Drosophila embryos.