Evidence map›Paper›PMID 27531958›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Single-cell RNAseq reveals cell adhesion molecule profiles in electrophysiologically defined neurons.

Csaba Földy, Spyros Darmanis, Jason Aoto, Robert C Malenka, Stephen R Quake, Thomas C Südhof

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed
13.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

118 citing papers in PubMed, 198 citations in OpenAlex.

  1. Article
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  7. Decoding Alzheimer's Disease One Cell Class at a Time.Cellular and molecular neurobiology · 2026
    Review
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  14. Large Donor CRISPR for Whole-Coding Sequence Replacement of Cell Adhesion Molecule LRRTM2.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  15. Understanding the molecular diversity of synapses.Nature reviews. Neuroscience · 2025
    Review
  16. Article
  17. Article
  18. Article
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  20. Review

58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Csaba FöldyDepartment 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.
Spyros DarmanisDepartment of Bioengineering, Stanford University, Stanford, CA 94305;
Jason AotoDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, CA 94305; Department of Pharmacology, University of Colorado Denver, Aurora, CO 80045;
Robert C MalenkaNancy Pritzker Laboratory, Stanford University, Stanford, CA 94305;
Stephen R QuakeDepartment of Bioengineering, Stanford University, Stanford, CA 94305; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305.
Thomas C SüdhofDepartment 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.
Stanford University · USUniversity of Zurich · CH

Funding

FUNCTION OF NEUREXINSR37MH052804 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI SUDHOF, THOMAS C. · 2000 to 2019
$9.3M
Synaptic Dissection of Cell Adhesion Molecule Function within Subicular CircuitsR00MH103531 · NIMH · UNIVERSITY OF COLORADO DENVER · PI AOTO, JASON · 2016 to 2018
$746k
Circuit Control By EndocannabinoidsK99DA034029 · NIDA · STANFORD UNIVERSITY · PI FOLDY, CSABA · 2012 to 2013
$275k
Synaptic Dissection of Cell Adhesion Molecule Function within Subicular CircuitsK99MH103531 · NIMH · STANFORD UNIVERSITY · PI AOTO, JASON · 2014 to 2015
$185k
NIDA NIH HHS K99 DA034029NIMH NIH HHS K99 MH103531NIMH NIH HHS R00 MH103531NIMH NIH HHS R37 MH052804
6 · The paper itself

Abstract

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.

Indexed as

AnimalsCell AdhesionCell Adhesion MoleculesElectrophysiological PhenomenaExocytosisGene Expression ProfilingGene Regulatory NetworksHippocampusInterneuronsMiceSequence Analysis, RNASignal TransductionSingle-Cell AnalysisSynapsesCell Adhesion Moleculescell adhesionRNAseqsingle cellsynapse

Identifiers

PMID27531958
PMCPMC5024636
OpenAlexW2510476362

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.