Genetic Decoding of the Brain Connectome
Overview
In this project, we integrate single cell resolution EM connectomics data with single cell resolution genomics to discover the relationship between gene expression and circuit connectivity.
Background
Understanding how genes control neural connectivity is a fundamental question in neuroscience. By combining high-resolution connectomics data with single-cell genomics, we can identify the genetic basis for neural circuit formation.
Approach
We developed a computational framework that:
- Integrates EM connectomics data at single-cell resolution
- Correlates with single-cell transcriptomic data
- Identifies gene expression patterns that predict connectivity
Key Findings
Our analysis reveals specific gene expression signatures that are associated with particular connectivity patterns, providing insights into the molecular mechanisms underlying neural circuit assembly.