Distinct transcriptional programs define a heterogeneous neuronal ensemble for social interaction

Area of Science:

• Neuroscience
• Molecular Biology
• Genomics

Background:

• Social interactions involve complex neural circuits in brain regions like the medial prefrontal cortex (mPFC).
• Previous studies were limited by mouse models and single marker genes for identifying active cell types.
• Understanding the cellular composition of the 'social brain' is crucial for deciphering social behavior.

Purpose of the Study:

• To identify distinct neuronal populations activated during social interactions.
• To characterize cell-type and region-specific gene expression programs.
• To overcome limitations of single marker gene reliance in quantifying neuronal activation.

Main Methods:

• Utilized single-nucleus RNA sequencing (snRNA-seq) to quantify immediate-early gene (IEG) expression.
• Analyzed gene expression patterns in heterogeneous cell types within the mPFC.
• Compared IEG expression across different neuronal populations during social encounters.

Main Results:

• Identified diverse prefrontal neuron populations activated by social interaction.
• Revealed cell-type and region-specific transcriptional programs.
• Demonstrated that single molecular markers are insufficient for comprehensive activation analysis.

Conclusions:

• Social interactions recruit distinct, heterogeneous cell populations in the mPFC.
• Cell-type specific gene expression programs are activated during social behavior.
• This study provides a detailed map of the cellular and molecular underpinnings of the social brain.