Integration of single-cell and bulk RNA sequencing data reveals key cell types and regulators in traumatic brain injury

Traumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, whose symptoms ranging from mild to severe, even life-threatening. However, specific cell types and key regulators involved in traumatic brain injury have not been well elucidated. In this study, utilizing single-...

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Main Authors: Rui-zhe Zheng, Jin Xing, Qiong Huang, Xi-tao Yang, Chang-yi Zhao, Xin-yuan Li
Format: Article
Language:English
Published: AIMS Press 2021-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:http://www.aimspress.com/article/doi/10.3934/mbe.2021065?viewType=HTML
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spelling doaj-a9ff68d74c7a434d855a83cfe9f4ac5b2021-04-12T01:07:45ZengAIMS PressMathematical Biosciences and Engineering1551-00182021-04-011821201121410.3934/mbe.2021065Integration of single-cell and bulk RNA sequencing data reveals key cell types and regulators in traumatic brain injuryRui-zhe Zheng0Jin Xing 1Qiong Huang 2Xi-tao Yang3Chang-yi Zhao4Xin-yuan Li51. Department of Neurosurgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China2. Department of Neurosurgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201399, China3. Department of Neurology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China4. Department of Neurosurgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China1. Department of Neurosurgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China1. Department of Neurosurgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, ChinaTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, whose symptoms ranging from mild to severe, even life-threatening. However, specific cell types and key regulators involved in traumatic brain injury have not been well elucidated. In this study, utilizing single-cell RNA-seq (scRNA-seq) data from mice with TBI, we have successfully identified and characterized 13 cell populations including astrocytes, oligodendrocyte, newly formed oligodendrocytes, microglia, two types of endothelial cells, five types of excitatory and two types of inhibitory neurons. Differential expression analysis and gene set enrichment analysis (GSEA) revealed the upregulation of microglia and endothelial markers, along with the downregulation of markers of excitatory neurons in TBI. The cell-cell communication analysis revealed that microglia and endothelial cell might interact through the interaction of Icam1-Il2rg and C1qa-Cd93, and microglia might also communicate with each other via Icam1-Itagm. The autocrine ligand-receptor in microglia might result in activation of TYROBP causal network via Icam1-Itgam. The cell-cell contact between microglia and endothelial cell might activate integrin signaling pathways. Moreover, we also found that genes involved in microglia activation were highly downregulated in Tyrobp/Dap12-deficient microglia, indicating that the upregulation of Tyrobp and TYROBP causal network in microglia might be a candidate therapeutic target in TBI. In contrast, the excitatory neurons were involved in maintaining normal brain function, and their inactivation might cause dysfunction of nervous system in TBI patients. In conclusion, the present study has discerned major cell types such as microglia, endothelial cells and excitatory neurons, and revealed key regulator such as TYROBP, C1QA, and CD93 in TBI, which shall improve our understanding of the pathogenesis of TBI.http://www.aimspress.com/article/doi/10.3934/mbe.2021065?viewType=HTMLtraumatic brain injurysingle-cell rna-seqcell-cell communicationtyrobp causal networkmicroglia
collection DOAJ
language English
format Article
sources DOAJ
author Rui-zhe Zheng
Jin Xing
Qiong Huang
Xi-tao Yang
Chang-yi Zhao
Xin-yuan Li
spellingShingle Rui-zhe Zheng
Jin Xing
Qiong Huang
Xi-tao Yang
Chang-yi Zhao
Xin-yuan Li
Integration of single-cell and bulk RNA sequencing data reveals key cell types and regulators in traumatic brain injury
Mathematical Biosciences and Engineering
traumatic brain injury
single-cell rna-seq
cell-cell communication
tyrobp causal network
microglia
author_facet Rui-zhe Zheng
Jin Xing
Qiong Huang
Xi-tao Yang
Chang-yi Zhao
Xin-yuan Li
author_sort Rui-zhe Zheng
title Integration of single-cell and bulk RNA sequencing data reveals key cell types and regulators in traumatic brain injury
title_short Integration of single-cell and bulk RNA sequencing data reveals key cell types and regulators in traumatic brain injury
title_full Integration of single-cell and bulk RNA sequencing data reveals key cell types and regulators in traumatic brain injury
title_fullStr Integration of single-cell and bulk RNA sequencing data reveals key cell types and regulators in traumatic brain injury
title_full_unstemmed Integration of single-cell and bulk RNA sequencing data reveals key cell types and regulators in traumatic brain injury
title_sort integration of single-cell and bulk rna sequencing data reveals key cell types and regulators in traumatic brain injury
publisher AIMS Press
series Mathematical Biosciences and Engineering
issn 1551-0018
publishDate 2021-04-01
description Traumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, whose symptoms ranging from mild to severe, even life-threatening. However, specific cell types and key regulators involved in traumatic brain injury have not been well elucidated. In this study, utilizing single-cell RNA-seq (scRNA-seq) data from mice with TBI, we have successfully identified and characterized 13 cell populations including astrocytes, oligodendrocyte, newly formed oligodendrocytes, microglia, two types of endothelial cells, five types of excitatory and two types of inhibitory neurons. Differential expression analysis and gene set enrichment analysis (GSEA) revealed the upregulation of microglia and endothelial markers, along with the downregulation of markers of excitatory neurons in TBI. The cell-cell communication analysis revealed that microglia and endothelial cell might interact through the interaction of Icam1-Il2rg and C1qa-Cd93, and microglia might also communicate with each other via Icam1-Itagm. The autocrine ligand-receptor in microglia might result in activation of TYROBP causal network via Icam1-Itgam. The cell-cell contact between microglia and endothelial cell might activate integrin signaling pathways. Moreover, we also found that genes involved in microglia activation were highly downregulated in Tyrobp/Dap12-deficient microglia, indicating that the upregulation of Tyrobp and TYROBP causal network in microglia might be a candidate therapeutic target in TBI. In contrast, the excitatory neurons were involved in maintaining normal brain function, and their inactivation might cause dysfunction of nervous system in TBI patients. In conclusion, the present study has discerned major cell types such as microglia, endothelial cells and excitatory neurons, and revealed key regulator such as TYROBP, C1QA, and CD93 in TBI, which shall improve our understanding of the pathogenesis of TBI.
topic traumatic brain injury
single-cell rna-seq
cell-cell communication
tyrobp causal network
microglia
url http://www.aimspress.com/article/doi/10.3934/mbe.2021065?viewType=HTML
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