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单细胞分析结合转录组测序鉴定脊髓损伤后巨噬细胞中的自噬枢纽基因。

Single-cell analysis combined with transcriptome sequencing identifies autophagy hub genes in macrophages after spinal cord injury.

作者信息

Ju Cheng, Liu Renfeng, Ma Yanming, Dong Hui, Xu Ruiqing, Hu Huimin, Hao Dingjun

机构信息

Department of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Youyidong Road, Xi'an, Shaanxi 710000, China.; Shaanxi Key Laboratory of Spine Bionic Treatment, Xi'an, Shaanxi 710000, China.

Department of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Youyidong Road, Xi'an, Shaanxi 710000, China.; Shaanxi Key Laboratory of Spine Bionic Treatment, Xi'an, Shaanxi 710000, China.

出版信息

Clin Immunol. 2025 Jan;270:110412. doi: 10.1016/j.clim.2024.110412. Epub 2024 Nov 28.

Abstract

Spinal cord injury (SCI) is a neurological disease characterized by the loss of motor and sensory function below the injury level. The pathogenesis of SCI is complex, involving the recruitment of various cells that play key roles in the injury area. Single-cell RNA sequencing (scRNA-seq) can analyze cell heterogeneity and inter-cell communication. Bulk RNA-seq offers advantages such as low cost, mature technology and high throughput. Joint analysis of bulk RNA-seq and scRNA-seqis more complementary for exploring the pathophysiology of diseases. In this study, we revealed changes in cell clusters and intercellular signaling after SCI through the scRNA-seq analysis. Bioinformatics analyses and experimental verification showed that macrophages increase rapidly and become the dominant cell type after SCI. The mTOR gene is the key molecule of M1 macrophage autophagy blockade and the PI3K-AKT-mTOR signaling pathway plays an important role in blockings macrophage autophagy.

摘要

脊髓损伤(SCI)是一种神经疾病,其特征是损伤水平以下的运动和感觉功能丧失。SCI的发病机制复杂,涉及多种在损伤区域发挥关键作用的细胞的募集。单细胞RNA测序(scRNA-seq)可以分析细胞异质性和细胞间通讯。批量RNA测序(Bulk RNA-seq)具有成本低、技术成熟和高通量等优点。Bulk RNA-seq和scRNA-seq的联合分析在探索疾病病理生理学方面更具互补性。在本研究中,我们通过scRNA-seq分析揭示了SCI后细胞簇和细胞间信号传导的变化。生物信息学分析和实验验证表明,巨噬细胞在SCI后迅速增加并成为主要细胞类型。mTOR基因是M1巨噬细胞自噬阻断的关键分子,PI3K-AKT-mTOR信号通路在阻断巨噬细胞自噬中起重要作用。

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