P6 · Transcriptomics
What's this cell type's expression profile and marker genes?
The connectomics–transcriptomics bridge — the through-line of the workshop.
Key question: What’s this cell type’s expression profile and marker genes?
Route A: Python API
Query transcriptomics data linking cell types to scRNAseq clusters and expressed genes.
from vfb_connect import vfb
# Get expression profile for a cell type
expression = vfb.get_transcriptomic_profile("DA1 lPN")
print(expression[['gene', 'expression_level', 'cluster']])
# Find marker genes
markers = vfb.get_marker_genes("DA1 lPN")
print(markers)
Route B: MCP Tool
Ask about expression data and marker genes.
Example Prompt
For cell type 'DA1 lPN', what scRNAseq / expression data does VFB have, and which marker genes are associated with it?
Route C: VFB Chat
Chat can survey what expression data exists for a cell type.
Optimized prompt: Ask for both expression profile and marker genes with IDs.
Route D: 3D Circuit Browser
The Circuit Browser can overlay expression data on neurons.
When to Reach for Which Route
- API to join expression data to connectivity for analysis
- MCP/Chat to survey what expression data exists
- 3D Browser to visualize expression patterns spatially