Cell adhesion molecules play subclass-specific roles in electrophysiological response and Schizophrenia risk
Abstract
Multimodal assays such as Patch-seq that simultaneously profile molecular and cellular phenotypes of cells enable the identification of molecular underpinnings of electrophysiological response patterns in neurons. Here we analyzed Patch-seq measurements of thousands of mouse interneurons to identify subclass-specific genes associated with different electrophysiological features. We found extensive subclass specificity: even for the same ephys feature, largely unique sets of genes are associated with that feature in different subclasses. Well established ephys genes such as Reln demonstrated subclass specificity that was previously not reported. Surprisingly, we found that ion channels explained significantly less variation in ephys response across interneurons compared to other genes; in particular, gene sets enriched in cell adhesion genes were amongst the most associated. We found our gene sets associated with action potential dV/dt measurements explained significant heritability of Schizophrenia risk, suggesting a novel role of single neuron electrophysiology in Schizophrenia risk. Finally, we observed significant ephys function switching of cell adhesion molecules across subclasses; the same adhesion molecule was observed to associate with different functional ephys measurements in distinct subclasses and co-express with different genes, suggesting re-purposing of adhesion molecules in different subclasses. Overall, our results yield novel insight into the specificity of roles that individual genes and adhesion molecules play in both single neuron ephys response and Schizophrenia risk.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Transcriptomic correlates of electrophysiological and morphological diversity within and across neuron types
Claire Bomkamp, Shreejoy J. Tripathy, … Paul Pavlidis·PLoS Computational BiologyPeer-reviewed·Jun 18, 2019
- In Search of Transcriptomic Correlates of Neuronal Firing-Rate Adaptation across Subtypes, Regions and Species: A Patch-seq Analysis
John Hongyu Meng, Yijie Kang, … Xiao‐Jing Wang·bioRxiv·Dec 5, 2024
- Transcriptomic Correlates Of Neuron Electrophysiological Diversity
Shreejoy J. Tripathy, Lilah Toker, … Paul Pavlidis·PLoS Computational BiologyPeer-reviewed·Oct 25, 2017
- Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
Stephanie C. Page, Srinidhi Rao Sripathy, … Brady J. Maher·Proceedings of the National Academy of SciencesPeer-reviewed·Jan 11, 2022
- Decoding spine nanostructure in cultured neurons derived from mouse models of neuropsychiatric disorder reveals a schizophrenia-linked role for Ecrg4
Yutaro Kashiwagi, Qingrui Liu, … Shigeo Okabe·eLifePeer-reviewed·Aug 11, 2026
- Combined statistical-mechanistic modeling links ionchannel genes to physiology of cortical neuron types
Yves Bernaerts, Michael Deistler, … Philipp Berens·PatternsPeer-reviewed·Aug 5, 2025