Single-cell RNAseq reveals cell adhesion molecule profiles in electrophysiologically defined neurons.
- Földy C Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA 94305; Brain Research Institute, University of Zürich, 8057 Zurich, Switzerland; foldy@hifo.uzh.ch tcs1@stanford.edu.
- Darmanis S Department of Bioengineering, Stanford University, Stanford, CA 94305;
- Aoto J Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA 94305; Department of Pharmacology, University of Colorado Denver, Aurora, CO 80045;
- Malenka RC Nancy Pritzker Laboratory, Stanford University, Stanford, CA 94305;
- Quake SR Department of Bioengineering, Stanford University, Stanford, CA 94305; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305.
- Südhof TC Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA 94305; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305 foldy@hifo.uzh.ch tcs1@stanford.edu.
- 2016-08-18
Published in:
- Proceedings of the National Academy of Sciences of the United States of America. - 2016
RNAseq
cell adhesion
single cell
synapse
Animals
Cell Adhesion
Cell Adhesion Molecules
Electrophysiological Phenomena
Exocytosis
Gene Expression Profiling
Gene Regulatory Networks
Hippocampus
Interneurons
Mice
Sequence Analysis, RNA
Signal Transduction
Single-Cell Analysis
Synapses
English
In brain, signaling mediated by cell adhesion molecules defines the identity and functional properties of synapses. The specificity of presynaptic and postsynaptic interactions that is presumably mediated by cell adhesion molecules suggests that there exists a logic that could explain neuronal connectivity at the molecular level. Despite its importance, however, the nature of such logic is poorly understood, and even basic parameters, such as the number, identity, and single-cell expression profiles of candidate synaptic cell adhesion molecules, are not known. Here, we devised a comprehensive list of genes involved in cell adhesion, and used single-cell RNA sequencing (RNAseq) to analyze their expression in electrophysiologically defined interneurons and projection neurons. We compared the cell type-specific expression of these genes with that of genes involved in transmembrane ion conductances (i.e., channels), exocytosis, and rho/rac signaling, which regulates the actin cytoskeleton. Using these data, we identified two independent, developmentally regulated networks of interacting genes encoding molecules involved in cell adhesion, exocytosis, and signal transduction. Our approach provides a framework for a presumed cell adhesion and signaling code in neurons, enables correlating electrophysiological with molecular properties of neurons, and suggests avenues toward understanding synaptic specificity.
- Language
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- English
- Open access status
- bronze
- Identifiers
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- DOI 10.1073/pnas.1610155113
- PMID 27531958
- Persistent URL
- https://sonar.ch/global/documents/96985
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