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Characterization of cell-cell communication in autistic brains with single-cell transcriptomes
BACKGROUND: Autism spectrum disorder is a neurodevelopmental disorder, affecting 1–2% of children. Studies have revealed genetic and cellular abnormalities in the brains of affected individuals, leading to both regional and distal cell communication deficits. METHODS: Recent application of single-ce...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059394/ https://www.ncbi.nlm.nih.gov/pubmed/35501678 http://dx.doi.org/10.1186/s11689-022-09441-1 |
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author | Astorkia, Maider Lachman, Herbert M. Zheng, Deyou |
author_facet | Astorkia, Maider Lachman, Herbert M. Zheng, Deyou |
author_sort | Astorkia, Maider |
collection | PubMed |
description | BACKGROUND: Autism spectrum disorder is a neurodevelopmental disorder, affecting 1–2% of children. Studies have revealed genetic and cellular abnormalities in the brains of affected individuals, leading to both regional and distal cell communication deficits. METHODS: Recent application of single-cell technologies, especially single-cell transcriptomics, has significantly expanded our understanding of brain cell heterogeneity and further demonstrated that multiple cell types and brain layers or regions are perturbed in autism. The underlying high-dimensional single-cell data provides opportunities for multilevel computational analysis that collectively can better deconvolute the molecular and cellular events altered in autism. Here, we apply advanced computation and pattern recognition approaches on single-cell RNA-seq data to infer and compare inter-cell-type signaling communications in autism brains and controls. RESULTS: Our results indicate that at a global level, there are cell-cell communication differences in autism in comparison with controls, largely involving neurons as both signaling senders and receivers, but glia also contribute to the communication disruption. Although the magnitude of changes is moderate, we find that excitatory and inhibitor neurons are involved in multiple intercellular signaling that exhibits increased strengths in autism, such as NRXN and CNTN signaling. Not all genes in the intercellular signaling pathways show differential expression, but genes in the affected pathways are enriched for axon guidance, synapse organization, neuron migration, and other critical cellular functions. Furthermore, those genes are highly connected to and enriched for genes previously associated with autism risks. CONCLUSIONS: Overall, our proof-of-principle computational study using single-cell data uncovers key intercellular signaling pathways that are potentially disrupted in the autism brains, suggesting that more studies examining cross-cell type effects can be valuable for understanding autism pathogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-022-09441-1. |
format | Online Article Text |
id | pubmed-9059394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90593942022-05-03 Characterization of cell-cell communication in autistic brains with single-cell transcriptomes Astorkia, Maider Lachman, Herbert M. Zheng, Deyou J Neurodev Disord Research BACKGROUND: Autism spectrum disorder is a neurodevelopmental disorder, affecting 1–2% of children. Studies have revealed genetic and cellular abnormalities in the brains of affected individuals, leading to both regional and distal cell communication deficits. METHODS: Recent application of single-cell technologies, especially single-cell transcriptomics, has significantly expanded our understanding of brain cell heterogeneity and further demonstrated that multiple cell types and brain layers or regions are perturbed in autism. The underlying high-dimensional single-cell data provides opportunities for multilevel computational analysis that collectively can better deconvolute the molecular and cellular events altered in autism. Here, we apply advanced computation and pattern recognition approaches on single-cell RNA-seq data to infer and compare inter-cell-type signaling communications in autism brains and controls. RESULTS: Our results indicate that at a global level, there are cell-cell communication differences in autism in comparison with controls, largely involving neurons as both signaling senders and receivers, but glia also contribute to the communication disruption. Although the magnitude of changes is moderate, we find that excitatory and inhibitor neurons are involved in multiple intercellular signaling that exhibits increased strengths in autism, such as NRXN and CNTN signaling. Not all genes in the intercellular signaling pathways show differential expression, but genes in the affected pathways are enriched for axon guidance, synapse organization, neuron migration, and other critical cellular functions. Furthermore, those genes are highly connected to and enriched for genes previously associated with autism risks. CONCLUSIONS: Overall, our proof-of-principle computational study using single-cell data uncovers key intercellular signaling pathways that are potentially disrupted in the autism brains, suggesting that more studies examining cross-cell type effects can be valuable for understanding autism pathogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s11689-022-09441-1. BioMed Central 2022-05-02 /pmc/articles/PMC9059394/ /pubmed/35501678 http://dx.doi.org/10.1186/s11689-022-09441-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Astorkia, Maider Lachman, Herbert M. Zheng, Deyou Characterization of cell-cell communication in autistic brains with single-cell transcriptomes |
title | Characterization of cell-cell communication in autistic brains with single-cell transcriptomes |
title_full | Characterization of cell-cell communication in autistic brains with single-cell transcriptomes |
title_fullStr | Characterization of cell-cell communication in autistic brains with single-cell transcriptomes |
title_full_unstemmed | Characterization of cell-cell communication in autistic brains with single-cell transcriptomes |
title_short | Characterization of cell-cell communication in autistic brains with single-cell transcriptomes |
title_sort | characterization of cell-cell communication in autistic brains with single-cell transcriptomes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059394/ https://www.ncbi.nlm.nih.gov/pubmed/35501678 http://dx.doi.org/10.1186/s11689-022-09441-1 |
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