ArticleiScience2024
Distinct transcriptional programs define a heterogeneous neuronal ensemble for social interaction.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Post-Critical Period Transcriptional and Physiological Adaptations of Primary Sensory Cortex after Sensory Loss.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Impaired Spatiotemporal Encoding of Social Behavior and Anxiety in the Prefrontal Cortex of Mice Lacking ASD-Risk GenebioRxiv : the preprint server for biology · 2025Article
- Protocol for the generation of single-nuclei RNA-seq libraries and quantification of heterogeneous cell types activated during social interaction.STAR protocols · 2024Article
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Abstract
Social interactions are encoded by the coordinated activity of heterogeneous cell types within distributed brain regions including the medial prefrontal cortex (mPFC). However, our understanding of the cell types which comprise the social ensemble has been limited by available mouse lines and reliance on single marker genes. We identified differentially active neuronal populations during social interactions by quantifying immediate-early gene (IEG) expression using snRNA-sequencing. These studies revealed that distinct prefrontal neuron populations composed of heterogeneous cell types are activated by social interaction. Evaluation of IEG expression within these recruited neuronal populations revealed cell-type and region-specific programs, suggesting that reliance on a single molecular marker is insufficient to quantify activation across all cell types. Our findings provide a comprehensive description of cell-type specific transcriptional programs invoked by social interactions and reveal insights into the neuronal populations which compose the social ensemble.
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