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

Wei Zhao; Kevin G. Johnston; Honglei Ren; Xiangmin Xu; Qing Nie

doi:10.1038/s41467-023-36800-w

Nature Communications (Feb 2023)

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

Wei Zhao,
Kevin G. Johnston,
Honglei Ren,
Xiangmin Xu,
Qing Nie

Affiliations

Wei Zhao: Department of Mathematics and the NSF-Simons Center for Multiscale Cell Fate Research, University of California
Kevin G. Johnston: Department of Mathematics and the NSF-Simons Center for Multiscale Cell Fate Research, University of California
Honglei Ren: Department of Mathematics and the NSF-Simons Center for Multiscale Cell Fate Research, University of California
Xiangmin Xu: Department of Anatomy and Neurobiology, School of Medicine, University of California
Qing Nie: Department of Mathematics and the NSF-Simons Center for Multiscale Cell Fate Research, University of California

DOI: https://doi.org/10.1038/s41467-023-36800-w
Journal volume & issue: Vol. 14, no. 1
pp. 1 – 16

Abstract

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Neurons communicate differently from non-neuronal cells. Here, authors present a method, NeuronChat, that utilizes scRNA-seq data and/or spatial transcriptomics to infer, visualize and analyze neural-specific cell-cell communication.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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