基于单细胞、单核和氙的空间转录组学分析揭示了颞叶癫痫小鼠海马中的炎症激活和细胞相互作用的改变

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Quanlei Liu, Chunhao Shen, Yang Dai, Ting Tang, Changkai Hou, Hongyi Yang, Yihe Wang, Jinkun Xu, Yongchang Lu, Yunming Wang, Yongzhi Shan, Penghu Wei, Guoguang Zhao
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引用次数: 0

摘要

颞叶癫痫(TLE)是最常见的癫痫类型之一,由于频繁发作,常常导致认知、情感和精神方面的问题。与颞叶癫痫相关的一个显著病理变化是海马硬化(HS),其特征是神经元缺失、胶质细胞增生和神经元纤维密度增加。TLE-HS的发病机制尚不清楚,但癫痫发生后海马神经胶质细胞和神经元的反应性转录组变化可能提供一些启示。为了诱导 TLE,向小鼠的海马 CA1 区立体注射了 200 毫升的凯尼酸(KA),注射后观察 7 天。采用单细胞RNA测序(SCRNA-seq)、单核RNA测序(SnRNA-seq)和基于Xenium的空间转录组学分析来评估神经胶质细胞和神经元中mRNA表达的变化。从 ScRNA-seq 和 SnRNA-seq 数据中识别出了 31,390 个神经胶质细胞和 48,221 个神经元细胞核。对差异表达基因(DEGs)的分析表明,患有TLE的小鼠海马细胞中的转录组发生了显著变化,影响了数百至数千个mRNA及其信号通路。富集分析表明,在TLE海马中,应激和炎症通路显著激活,而与轴突发育和神经支持相关的通路则受到抑制。Xenium 分析显示了所有 247 个基因在小鼠大脑切片中的表达情况,揭示了它们在 27 种细胞类型中的空间分布。对通过三种测序技术确定的DEGs进行综合分析后发现,Spp1、Trem2和Cd68在所有神经胶质细胞类型和Xenium数据中上调;Penk、Sorcs3和Plekha2在所有神经元细胞类型和Xenium数据中上调;Tle4和Sipa1l3在所有神经胶质细胞类型和Xenium数据中下调。本研究建立了TLE小鼠海马的高分辨率单细胞转录组图谱,揭示了驱动TLE相关炎症激活和细胞相互作用改变的潜在内在机制。这些发现为进一步探索HS的发展和癫痫发生提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-cell, single-nucleus and xenium-based spatial transcriptomics analyses reveal inflammatory activation and altered cell interactions in the hippocampus in mice with temporal lobe epilepsy
Temporal lobe epilepsy (TLE) is among the most common types of epilepsy and often leads to cognitive, emotional, and psychiatric issues due to the frequent seizures. A notable pathological change related to TLE is hippocampal sclerosis (HS), which is characterized by neuronal loss, gliosis, and an increased neuron fibre density. The mechanisms underlying TLE-HS development remain unclear, but the reactive transcriptomic changes in glial cells and neurons of the hippocampus post-epileptogenesis may provide insights. To induce TLE, 200 nl of kainic acid (KA) was stereotactically injected into the hippocampal CA1 region of mice, followed by a 7-day postinjection period. Single-cell RNA sequencing (ScRNA-seq), single-nucleus RNA sequencing (SnRNA-seq), and Xenium-based spatial transcriptomics analyses were employed to evaluate the changes in mRNA expression in glial cells and neurons. From the ScRNA-seq and SnRNA-seq data, 31,390 glial cells and 48,221 neuronal nuclei were identified. Analysis of the differentially expressed genes (DEGs) revealed significant transcriptomic alterations in the hippocampal cells of mice with TLE, affecting hundreds to thousands of mRNAs and their signalling pathways. Enrichment analysis indicated notable activation of stress and inflammatory pathways in the TLE hippocampus, while pathways related to axonal development and neural support were suppressed. Xenium analysis demonstrated the expression of all 247 genes across mouse brain sections, revealing the spatial distributions of their expression in 27 cell types. Integrated analysis of the DEGs identified via the three sequencing techniques revealed that Spp1, Trem2, and Cd68 were upregulated in all glial cell types and in the Xenium data; Penk, Sorcs3, and Plekha2 were upregulated in all neuronal cell types and in the Xenium data; and Tle4 and Sipa1l3 were downregulated in all glial cell types and in the Xenium data. In this study, a high-resolution single-cell transcriptomic atlas of the hippocampus in mice with TLE was established, revealing potential intrinsic mechanisms driving TLE-associated inflammatory activation and altered cell interactions. These findings provide valuable insights for further exploration of HS development and epileptogenesis.
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来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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