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Related Experiment Video

Updated: Dec 21, 2025

Single-cell Profiling of Developing and Mature Retinal Neurons

Single-cell Profiling of Developing and Mature Retinal Neurons

Published on: April 19, 2012

Extraction of Distinct Neuronal Cell Types from within a Genetically Continuous Population.

Euiseok J Kim¹, Zhuzhu Zhang², Ling Huang³

¹Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA; Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA.

|May 13, 2020

Summary

This summary is machine-generated.

Cortico-cortical projection neurons (CCPNs) show distinct gene expression patterns based on their projection targets, even within a single transcriptomic cluster. This highlights the need for combined genetic and projection analysis to fully classify neuron types.

Keywords:

cell types connectivity cortico-cortical projection neurons feedback circuits rabies tracing single-cell RNA sequencing visual cortex

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Area of Science:

Neuroscience
Molecular Biology
Genomics

Background:

Single-cell transcriptomics has identified numerous neocortical neuron clusters.
Cortico-cortical projection neurons (CCPNs) form few transcriptomic clusters despite diverse projections, unlike inhibitory and subcortical projection neurons (SCPNs).

Purpose of the Study:

To investigate the transcriptomic and projection-dependent differences in mouse primary visual cortex CCPNs.
To determine if gene expression alone is sufficient for classifying CCPN types.

Main Methods:

Projection-dependent single-cell transcriptomic analysis.
Monosynaptic rabies tracing in mouse primary visual cortex.

Main Results:

Layer 2/3 CCPNs projecting to different higher visual areas exhibit systematic gene expression differences.
Despite these differences, these neurons form a single transcriptomic cluster.
CCPNs receive selective feedback from their projection targets.

Conclusions:

Gene expression analysis alone is insufficient for complete neuron type identification.
Understanding cortical feedback circuits requires integrating transcriptomic and projection data.
This study refines the classification of CCPNs and sheds light on cortical circuit organization.