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Related Concept Videos

Neuronal Communication01:28

Neuronal Communication

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Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
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Neurons as Communicators of the Brain01:22

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Neurons, the fundamental units of the brain and nervous system, function as the primary transmitters of information throughout the body. Their ability to communicate through electrical and chemical signals is vital for every bodily function, from regulating the heartbeat to processing complex thoughts. Each neuron has three main components: the cell body (soma), dendrites, and an axon, each specialized to facilitate swift and efficient neural communication.
Cell Body
The cell body, also known...
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Electrical Synapses01:28

Electrical Synapses

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Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
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The Synapse02:47

The Synapse

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Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
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Related Experiment Video

Updated: Aug 8, 2025

Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq
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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq

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Inferring neuron-neuron communications from single-cell transcriptomics through NeuronChat.

Wei Zhao1, Kevin G Johnston1, Honglei Ren1

  • 1Department of Mathematics and the NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, CA, 92697, USA.

Nature Communications
|February 28, 2023
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Summary
This summary is machine-generated.

NeuronChat infers neural communication networks from single-cell expression data. This tool visualizes cell-cell interactions and analyzes communication patterns in healthy and diseased brain tissues.

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Genomics

Background:

  • Neural communication networks are essential for brain function, relying on ligands and receptor complexes.
  • Understanding these networks requires analyzing the transcriptome, the complete set of RNA transcripts.
  • Existing methods lack specialized tools for inferring neural-specific communication from single-cell data.

Purpose of the Study:

  • To develop NeuronChat, a novel method and package for inferring, visualizing, and analyzing neural-specific communication networks.
  • To leverage single-cell expression data for mapping cell-cell interactions within neural tissues.
  • To provide insights into conserved and context-specific neural communication, including in disease states.

Main Methods:

  • Developed NeuronChat, incorporating a manually curated molecular interaction database for neural signaling in humans and mice.
  • Utilized single-cell RNA sequencing (scRNA-seq) data for network inference and visualization.
  • Benchmarked NeuronChat on published datasets and applied it to diverse neural tissue datasets, including spatial transcriptomics.

Main Results:

  • NeuronChat successfully infers and visualizes neural-specific communication networks from scRNA-seq data.
  • The tool identified conserved and context-specific neural interactions across different biological contexts.
  • Application to autism spectrum disorder brains revealed altered communication patterns, demonstrating clinical relevance.

Conclusions:

  • NeuronChat provides a robust platform for dissecting neural communication networks using transcriptomic data.
  • The method is capable of analyzing both standard scRNA-seq and spatial transcriptomics data.
  • NeuronChat facilitates the discovery of novel neural interactions and their roles in brain function and disease.