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Related Experiment Video

Updated: May 1, 2026

Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex

Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex

Published on: September 5, 2018

Evidence from spatial transcriptomics for the mosaic hypothesis and pure cell types in the cortex.

Yiliu Wang¹, Christof Koch², Uygar Sümbül³

¹Allen Institute, 615 Westlake Avenue N, Seattle, WA, USA; Department of Neurobiology & Biophysics, University of Washington, Seattle, WA, USA.

|October 4, 2025

Summary

Neurons in the brain exhibit spatial avoidance, forming a mosaic pattern. This finding, observed using spatial transcriptomic data, suggests a new standard for identifying pure neuronal cell types.

Keywords:

CP: Neuroscience Strauss process cortex cortical cell types homotypic avoidance mosaic mosaic hypothesis neuronal diversity spatial point processes spatially overlapping cell types tiling

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Last Updated: May 1, 2026

Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex

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Published on: September 5, 2018

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM

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Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

Area of Science:

Neuroscience
Computational Biology
Genomics

Background:

Neurons show diverse properties, but classifying them using high-dimensional data like single-cell RNA sequencing (scRNA-seq) can be inconclusive.
In the retina, distinct neuron types avoid close spatial proximity, a principle rarely explored in the cortex.

Purpose of the Study:

To investigate if cortical neurons exhibit spatial avoidance, similar to retinal neurons.
To develop a statistical framework for analyzing spatial transcriptomic data to test the mosaic hypothesis in the cortex.

Main Methods:

Developed a statistical point process analysis framework.
Applied the framework to spatial transcriptomic data from the cortex.

Main Results:

Provided evidence for spatial avoidance across numerous excitatory and inhibitory neuronal types in the cortex.
Observed that spatial avoidance diminishes when cell types are merged.

Conclusions:

The mosaic hypothesis, characterized by spatial avoidance, is applicable to cortical neurons.
Spatial avoidance serves as a potential gold-standard metric for assessing the purity of identified neuronal cell types.