• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

单细胞 RNA 测序分析人类阿尔茨海默病脑样本揭示神经元和神经胶质细胞特异性差异表达。

Single-cell RNA sequencing analysis of human Alzheimer's disease brain samples reveals neuronal and glial specific cells differential expression.

机构信息

Department of Molecular Neuroscience, Institute of Neurology, University College London, London, United Kingdom.

Basic Medical Science Department, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.

出版信息

PLoS One. 2023 Feb 24;18(2):e0277630. doi: 10.1371/journal.pone.0277630. eCollection 2023.

DOI:10.1371/journal.pone.0277630
PMID:36827281
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9955959/
Abstract

Alzheimer's disease is the most common neurological disease worldwide. Unfortunately, there are currently no effective treatment methods nor early detection methods. Furthermore, the disease underlying molecular mechanisms are poorly understood. Global bulk gene expression profiling suggested that the disease is governed by diverse transcriptional regulatory networks. Thus, to identify distinct transcriptional networks impacted into distinct neuronal populations in Alzheimer, we surveyed gene expression differences in over 25,000 single-nuclei collected from the brains of two Alzheimer's in disease patients in Braak stage I and II and age- and gender-matched controls hippocampal brain samples. APOE status was not measured for this study samples (as well as CERAD and THAL scores). Our bioinformatic analysis identified discrete glial, immune, neuronal and vascular cell populations spanning Alzheimer's disease and controls. Astrocytes and microglia displayed the greatest transcriptomic impacts, with the induction of both shared and distinct gene programs.

摘要

阿尔茨海默病是全球最常见的神经退行性疾病。不幸的是,目前尚无有效的治疗方法和早期检测方法。此外,疾病的潜在分子机制也知之甚少。全基因组表达谱分析表明,该疾病受多种转录调控网络的控制。因此,为了确定不同的转录网络影响阿尔茨海默病不同的神经元群体,我们调查了来自两名阿尔茨海默病患者(Braak 分期 I 和 II)和年龄及性别匹配的对照海马脑样本的超过 25000 个单个核的基因表达差异。本研究样本未测量 APOE 状态(以及 CERAD 和 THAL 评分)。我们的生物信息学分析确定了跨越阿尔茨海默病和对照组的离散的神经胶质、免疫、神经元和血管细胞群体。星形胶质细胞和小胶质细胞显示出最大的转录组影响,诱导了共同和独特的基因程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/c706bb762f8a/pone.0277630.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/8a6c6398c134/pone.0277630.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/ce282970348a/pone.0277630.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/11e03fe0a702/pone.0277630.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/bf6299a5c16e/pone.0277630.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/0841e002575d/pone.0277630.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/c706bb762f8a/pone.0277630.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/8a6c6398c134/pone.0277630.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/ce282970348a/pone.0277630.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/11e03fe0a702/pone.0277630.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/bf6299a5c16e/pone.0277630.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/0841e002575d/pone.0277630.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b70a/9955959/c706bb762f8a/pone.0277630.g006.jpg

相似文献

1
Single-cell RNA sequencing analysis of human Alzheimer's disease brain samples reveals neuronal and glial specific cells differential expression.单细胞 RNA 测序分析人类阿尔茨海默病脑样本揭示神经元和神经胶质细胞特异性差异表达。
PLoS One. 2023 Feb 24;18(2):e0277630. doi: 10.1371/journal.pone.0277630. eCollection 2023.
2
A single-nuclei RNA sequencing study of Mendelian and sporadic AD in the human brain.人类大脑中单细胞核 RNA 测序研究孟德尔和散发性 AD
Alzheimers Res Ther. 2019 Aug 9;11(1):71. doi: 10.1186/s13195-019-0524-x.
3
Transcriptional Networks of Microglia in Alzheimer's Disease and Insights into Pathogenesis.阿尔茨海默病中小胶质细胞的转录网络及其发病机制的研究进展。
Genes (Basel). 2019 Oct 12;10(10):798. doi: 10.3390/genes10100798.
4
Diverse human astrocyte and microglial transcriptional responses to Alzheimer's pathology.人类星形胶质细胞和小胶质细胞对阿尔茨海默病病理的转录反应具有多样性。
Acta Neuropathol. 2022 Jan;143(1):75-91. doi: 10.1007/s00401-021-02372-6. Epub 2021 Nov 12.
5
A single-cell atlas of entorhinal cortex from individuals with Alzheimer's disease reveals cell-type-specific gene expression regulation.阿尔茨海默病患者内嗅皮层的单细胞图谱揭示了细胞类型特异性基因表达调控。
Nat Neurosci. 2019 Dec;22(12):2087-2097. doi: 10.1038/s41593-019-0539-4.
6
Distinct cytokine profiles in human brains resilient to Alzheimer's pathology.对阿尔茨海默病具有抗性的人脑存在独特的细胞因子特征。
Neurobiol Dis. 2019 Jan;121:327-337. doi: 10.1016/j.nbd.2018.10.009. Epub 2018 Oct 15.
7
Single-cell multiregion dissection of Alzheimer's disease.单细胞多区域剖析阿尔茨海默病。
Nature. 2024 Aug;632(8026):858-868. doi: 10.1038/s41586-024-07606-7. Epub 2024 Jul 24.
8
Sex specific molecular networks and key drivers of Alzheimer's disease.性别特异性分子网络与阿尔茨海默病的关键驱动因素。
Mol Neurodegener. 2023 Jun 20;18(1):39. doi: 10.1186/s13024-023-00624-5.
9
Single-cell spatial transcriptomics reveals distinct patterns of dysregulation in non-neuronal and neuronal cells induced by the Trem2 Alzheimer's risk gene mutation.单细胞空间转录组学揭示了由Trem2阿尔茨海默病风险基因突变诱导的非神经元细胞和神经元细胞中不同的失调模式。
Mol Psychiatry. 2025 Feb;30(2):461-477. doi: 10.1038/s41380-024-02651-0. Epub 2024 Aug 5.
10
Sex-Stratified Single-Cell RNA-Seq Analysis Identifies Sex-Specific and Cell Type-Specific Transcriptional Responses in Alzheimer's Disease Across Two Brain Regions.基于性别的单细胞 RNA 测序分析鉴定了两个大脑区域阿尔茨海默病中的性别特异性和细胞类型特异性转录反应。
Mol Neurobiol. 2022 Jan;59(1):276-293. doi: 10.1007/s12035-021-02591-8. Epub 2021 Oct 20.

引用本文的文献

1
Single-cell sequencing: accurate disease detection.单细胞测序:精准疾病检测。
Clin Transl Oncol. 2025 Aug 16. doi: 10.1007/s12094-025-04007-8.
2
Decoding neuroinflammation in Alzheimer's disease: a multi-omics and AI-driven perspective for precision medicine.解读阿尔茨海默病中的神经炎症:多组学与人工智能驱动的精准医学视角
Front Immunol. 2025 Jun 18;16:1616899. doi: 10.3389/fimmu.2025.1616899. eCollection 2025.
3
Recent Advances in Mass Spectrometry-Based Studies of Post-Translational Modifications in Alzheimer's Disease.

本文引用的文献

1
TREM2-mediated activation of microglia breaks link between amyloid and tau.TREM2介导的小胶质细胞激活打破了淀粉样蛋白与tau蛋白之间的联系。
Lancet Neurol. 2021 Jun;20(6):416-417. doi: 10.1016/S1474-4422(21)00133-2.
2
Single cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer's disease.单细胞 RNA 测序揭示与阿尔茨海默病相关的人类小胶质细胞亚群。
Nat Commun. 2020 Nov 30;11(1):6129. doi: 10.1038/s41467-020-19737-2.
3
Author Correction: Genome-wide human brain eQTLs: In-depth analysis and insights using the UKBEC dataset.
基于质谱的阿尔茨海默病翻译后修饰研究的最新进展
Mol Cell Proteomics. 2025 May 29;24(7):101003. doi: 10.1016/j.mcpro.2025.101003.
4
Identification of shared mechanisms between Alzheimer's disease and atherosclerosis by integrated bioinformatics analysis.通过综合生物信息学分析鉴定阿尔茨海默病与动脉粥样硬化之间的共同机制。
Eur J Med Res. 2025 May 22;30(1):408. doi: 10.1186/s40001-025-02642-z.
5
Mouse-to-human modeling of microglia single-nuclei transcriptomics identifies immune signaling pathways and potential therapeutic candidates associated with Alzheimer's disease.小胶质细胞单细胞核转录组学的小鼠到人模型鉴定出与阿尔茨海默病相关的免疫信号通路和潜在治疗候选物。
bioRxiv. 2025 Feb 8:2025.02.07.637100. doi: 10.1101/2025.02.07.637100.
6
Integrating Bulk and Single-Cell Transcriptomic Data to Identify Ferroptosis-Associated Inflammatory Gene in Alzheimer's Disease.整合批量和单细胞转录组数据以鉴定阿尔茨海默病中与铁死亡相关的炎症基因
J Inflamm Res. 2025 Feb 10;18:2105-2122. doi: 10.2147/JIR.S497418. eCollection 2025.
7
Cell-specific transcriptional signatures of vascular cells in Alzheimer's disease: perspectives, pathways, and therapeutic directions.阿尔茨海默病中血管细胞的细胞特异性转录特征:观点、途径及治疗方向
Mol Neurodegener. 2025 Jan 29;20(1):12. doi: 10.1186/s13024-025-00798-0.
8
Chasing shadows: Investigating X chromosome mediation in late-onset Alzheimer's disease.追寻线索:探究X染色体在晚发性阿尔茨海默病中的作用机制
Adv Neurol (Singap). 2024;3(2). doi: 10.36922/an.3122. Epub 2024 Jun 14.
9
Ginsenoside Re Regulates Oxidative Stress through the PI3K/Akt/Nrf2 Signaling Pathway in Mice with Scopolamine-Induced Memory Impairments.人参皂苷Re通过PI3K/Akt/Nrf2信号通路调节东莨菪碱诱导的记忆损伤小鼠的氧化应激。
Curr Issues Mol Biol. 2024 Oct 13;46(10):11359-11374. doi: 10.3390/cimb46100677.
10
Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning.利用自监督对比学习整合中枢神经系统疾病的大规模单细胞 RNA 测序。
Commun Biol. 2024 Sep 10;7(1):1107. doi: 10.1038/s42003-024-06813-2.
作者更正:全基因组人类脑表达定量性状位点:使用英国生物银行(UKB)数据的深入分析与见解
Sci Rep. 2020 Oct 1;10(1):16603. doi: 10.1038/s41598-020-73067-3.
4
Single-nucleus transcriptome analysis reveals dysregulation of angiogenic endothelial cells and neuroprotective glia in Alzheimer's disease.单细胞转录组分析揭示了阿尔茨海默病中血管生成内皮细胞和神经保护胶质细胞的失调。
Proc Natl Acad Sci U S A. 2020 Oct 13;117(41):25800-25809. doi: 10.1073/pnas.2008762117. Epub 2020 Sep 28.
5
Disease-associated astrocytes in Alzheimer's disease and aging.阿尔茨海默病和衰老中与疾病相关的星形胶质细胞。
Nat Neurosci. 2020 Jun;23(6):701-706. doi: 10.1038/s41593-020-0624-8. Epub 2020 Apr 27.
6
Stem-cell-derived human microglia transplanted in mouse brain to study human disease.将源自干细胞的人类小神经胶质细胞移植到老鼠大脑中,以研究人类疾病。
Nat Neurosci. 2019 Dec;22(12):2111-2116. doi: 10.1038/s41593-019-0525-x. Epub 2019 Oct 28.
7
Single-cell transcriptomic profiling of the aging mouse brain.单细胞转录组谱分析衰老小鼠大脑。
Nat Neurosci. 2019 Oct;22(10):1696-1708. doi: 10.1038/s41593-019-0491-3. Epub 2019 Sep 24.
8
Microglia in Alzheimer Disease: Well-Known Targets and New Opportunities.阿尔茨海默病中的小胶质细胞:已知靶点与新机遇
Front Aging Neurosci. 2019 Aug 30;11:233. doi: 10.3389/fnagi.2019.00233. eCollection 2019.
9
Author Correction: Single-cell transcriptomic analysis of Alzheimer's disease.作者更正:阿尔茨海默病的单细胞转录组分析
Nature. 2019 Jul;571(7763):E1. doi: 10.1038/s41586-019-1329-6.
10
Beyond bulk: a review of single cell transcriptomics methodologies and applications.超越细胞团块:单细胞转录组学方法学与应用述评。
Curr Opin Biotechnol. 2019 Aug;58:129-136. doi: 10.1016/j.copbio.2019.03.001. Epub 2019 Apr 10.