Uncovering the molecular logic of cortical wiring between neuronal subtypes across development through ligand–receptor inference

The cerebral cortex comprises diverse excitatory and inhibitory neuron subtypes, each with distinct laminar positions and connectivity patterns. Yet, the molecular logic underlying their precise wiring remains poorly understood. To identify ligand-receptor (LR) interactions involved in cortical circuit assembly, we tracked gene expression dynamics in mice across major neuronal populations at 17 developmental stages using single-cell transcriptomics. This generated a comprehensive atlas of LR-mediated communication between excitatory and inhibitory neuron subtypes, capturing known and novel interactions. Notably, we identified NEOGENIN-1 as the principal receptor for CBLN4 during the perinatal period, mediating synapse formation between somatostatin-expressing interneurons and glutamatergic neurons. We also identified members of the cadherin superfamily as candidate regulators of perisomatic inhibition from parvalbumin-expressing basket cells onto deep and superficial excitatory neurons, exerting opposing effects on synapse formation. These findings suggest a context-dependent role for cadherins in synaptic specificity and underscore the power of single-cell transcriptomics for decoding the molecular mechanisms of cortical wiring.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-01-22
DOI
https://doi.org/10.1038/s41467-025-68059-8
Primary Topic
Neurogenesis and neuroplasticity mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncovering the molecular logic of cortical wiring between neuronal subtypes across development through ligand–receptor inference

Ludovic Telley, Alfonso Represa, Antoine de Chevigny, R. Mathieu et al.
Nature Communications
Neurogenesis and neuroplasticity mechanisms
article

Uncovering the molecular logic of cortical wiring between neuronal subtypes across development through ligand–receptor inference

Ludovic Telley, Alfonso Represa, Antoine de Chevigny, R. Mathieu, Annousha Devi Govindan, Lucas Silvagnoli, Léa Corbières, Vianney Bensa, Emilie Pallesi-Pocachard, Tangra Draia-Nicolau, Carlos Cardoso
article en

Abstract

The cerebral cortex comprises diverse excitatory and inhibitory neuron subtypes, each with distinct laminar positions and connectivity patterns. Yet, the molecular logic underlying their precise wiring remains poorly understood. To identify ligand-receptor (LR) interactions involved in cortical circuit assembly, we tracked gene expression dynamics in mice across major neuronal populations at 17 developmental stages using single-cell transcriptomics. This generated a comprehensive atlas of LR-mediated communication between excitatory and inhibitory neuron subtypes, capturing known and novel interactions. Notably, we identified NEOGENIN-1 as the principal receptor for CBLN4 during the perinatal period, mediating synapse formation between somatostatin-expressing interneurons and glutamatergic neurons. We also identified members of the cadherin superfamily as candidate regulators of perisomatic inhibition from parvalbumin-expressing basket cells onto deep and superficial excitatory neurons, exerting opposing effects on synapse formation. These findings suggest a context-dependent role for cadherins in synaptic specificity and underscore the power of single-cell transcriptomics for decoding the molecular mechanisms of cortical wiring.

Nature CommunicationsVol. 17(1)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), Aix-Marseille Université (FR), Institut de Neurobiologie de la Méditerranée (FR), University of Lausanne (CH)
Université de Genève
Openalex Percentile: Top 87%
Neurogenesis and neuroplasticity mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.