Revealing the wiring rules of neural circuit assembly with spatiotemporally resolved molecular connectomics
This project aims to develop a novel method for large-scale neural circuit tracing and RNA sequencing to understand genomic influences on brain connectivity and its implications for autism.
Projectdetails
Introduction
The human genome contains several thousand genes that play a key role in the development of the brain’s connectome, a precise assembly of neural connections with billions of neurons and trillions of synapses.
Research Question
How is genomic information translated into synapse-specific connectivity underlying behavior and cognition? Answering this fundamental question will provide important insights about the principles underlying nervous system development and is relevant for neurodevelopmental disorders such as autism.
Current Limitations
However, current approaches to measure neuronal connectivity have intrinsic limitations that prevent combined analysis of connected neurons and their gene expression profiles at a scale that matches the complexity of the mammalian nervous system.
Proposed Approach
Here I propose to develop a novel approach for massively parallel neural circuit tracing with barcoded rabies virus and 3D intact-tissue RNA-sequencing. This will permit a comprehensive understanding of neural network architecture via the large-scale measurement of molecular, cellular, and circuit-level mechanisms in the mouse brain.
Advantages of the New Method
Compared to current efforts that require vast scientific resources to map synaptic connectivity among a few cells or small tissue volumes, my approach will enable routine measurements of connections among thousands of single neurons with molecular detail.
Longitudinal Study
Based on my expertise in in vivo barcoding, I will conduct a longitudinal study to reveal the wiring rules underlying the spatiotemporal development of neural circuits from diverse neuron types in the mouse prefrontal cortex, a brain region that plays a key role in cognition.
Cross-Sectional Approach
I will follow a cross-sectional approach to unravel the effects of distinct mutations on neuronal wiring in the prefrontal cortex in two mouse models of autism (Cntnap2-/-, Syngap1+/-).
Expected Outcomes
My work will provide an innovative experimental platform and offer mechanistic insights into the developmental algorithms that the genome uses to encode the connectome.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.500.000 |
Totale projectbegroting | € 1.500.000 |
Tijdlijn
Startdatum | 1-6-2024 |
Einddatum | 31-5-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- KAROLINSKA INSTITUTETpenvoerder
- KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Deciphering the Regulatory Logic of Cortical DevelopmentEpiCortex aims to map the regulatory landscape of mouse cortical development across timepoints to understand neuronal lineage specification and improve therapeutic strategies for neuropsychiatric diseases. | ERC Consolid... | € 1.999.643 | 2023 | Details |
Visualising neuronal signalling dynamics within intact neuronal circuits: Deciphering the role of cell-specific MeCP2 dynamics in neuronal function and dysfunctionThis project aims to develop an imaging-based method to monitor MeCP2 signalling dynamics in neuronal circuits of awake mice, enhancing understanding of its role in Rett syndrome and potential therapies. | ERC Starting... | € 1.500.000 | 2022 | Details |
Sculpting circuits and behavior by developmental neuronal remodelingThis project aims to integrate molecular, cellular, circuit, and behavioral aspects of neuronal remodeling in Drosophila's Mushroom Body to understand its impact on circuit architecture and behavior. | ERC Advanced... | € 2.500.000 | 2022 | Details |
Mesoscale dissection of neuronal populations underlying cognitionThis project aims to map cognitive processing in the brain using a mouse model, employing a zoom-out/zoom-in approach to understand dynamic networks across various cognitive functions. | ERC Starting... | € 1.500.000 | 2022 | Details |
Connectome cost conservation model of skill learningThis project aims to model brain connectomes before and after skill learning to predict neuroplasticity and behavioral outcomes, bridging neuropsychology and neurobiology. | ERC Advanced... | € 2.484.375 | 2022 | Details |
Deciphering the Regulatory Logic of Cortical Development
EpiCortex aims to map the regulatory landscape of mouse cortical development across timepoints to understand neuronal lineage specification and improve therapeutic strategies for neuropsychiatric diseases.
Visualising neuronal signalling dynamics within intact neuronal circuits: Deciphering the role of cell-specific MeCP2 dynamics in neuronal function and dysfunction
This project aims to develop an imaging-based method to monitor MeCP2 signalling dynamics in neuronal circuits of awake mice, enhancing understanding of its role in Rett syndrome and potential therapies.
Sculpting circuits and behavior by developmental neuronal remodeling
This project aims to integrate molecular, cellular, circuit, and behavioral aspects of neuronal remodeling in Drosophila's Mushroom Body to understand its impact on circuit architecture and behavior.
Mesoscale dissection of neuronal populations underlying cognition
This project aims to map cognitive processing in the brain using a mouse model, employing a zoom-out/zoom-in approach to understand dynamic networks across various cognitive functions.
Connectome cost conservation model of skill learning
This project aims to model brain connectomes before and after skill learning to predict neuroplasticity and behavioral outcomes, bridging neuropsychology and neurobiology.