Transcriptomic Correlates of State Modulation in GABAergic Interneurons: A Cross-Species Analysis
Joram Keijser1,2, Loreen Hertäg3, Henning Sprekeler3,4
1Modelling of Cognitive Processes, Technical University of Berlin, 10587 Berlin, Germany keijser@tu-berlin.de joramkeijser@gmail.com.
Summary
Researchers explored how brain cell gene expression relates to behavioral states across species. They found significant differences in gene expression patterns between species, impacting how brain circuits function.
Area of Science:
- Neuroscience
- Genomics
- Comparative Biology
Background:
- GABAergic inhibitory interneurons exhibit diverse subtypes with distinct properties.
- In mouse visual cortex, interneuron state modulation correlates with gene expression, predictable by the first principal component (PC).
Purpose of the Study:
- To investigate if the link between transcriptome and state-dependent processing in interneurons is conserved across species.
- To analyze transcriptomic differences in forebrain cell types across mammals, birds, and reptiles.
Main Methods:
- Analysis of seven single-cell and single-nucleus RNA sequencing datasets from mouse, human, songbird, and turtle.
- Comparative analysis of transcriptomic principal components (PCs) and cell-type abundance.
- Examination of cholinergic receptor expression and circuit modeling.
Main Results:
- Transcriptomic PCs showed significant dissimilarities between species, increasing with evolutionary distance.
- Differences arose from gene expression divergence within homologous cell types and variations in cell-type abundance.
- Several cholinergic receptors, linked to mouse interneuron state modulation, were differentially expressed across species.
Conclusions:
- The relationship between transcriptome and state-dependent processing is not fully conserved across species.
- Evolutionary divergence in gene expression and cell-type composition underlies species-specific functional differences.
- Differential expression of cholinergic receptors may contribute to functional variations in brain states across species.
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