• 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

来自人类中枢神经系统的差异基因表达数据,涵盖阿尔茨海默病、路易体病以及肌萎缩侧索硬化症和额颞叶痴呆谱系。

Differential gene expression data from the human central nervous system across Alzheimer's disease, Lewy body diseases, and the amyotrophic lateral sclerosis and frontotemporal dementia spectrum.

作者信息

Noori Ayush, Mezlini Aziz M, Hyman Bradley T, Serrano-Pozo Alberto, Das Sudeshna

机构信息

Harvard College, Cambridge, MA 02138, United States of America.

Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States of America.

出版信息

Data Brief. 2021 Feb 11;35:106863. doi: 10.1016/j.dib.2021.106863. eCollection 2021 Apr.

DOI:10.1016/j.dib.2021.106863
PMID:33665258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7903289/
Abstract

In Noori et al. [1], we hypothesized that there is a shared gene expression signature underlying neurodegenerative proteinopathies including Alzheimer's disease (AD), Lewy body diseases (LBD), and the amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD) spectrum. To test this hypothesis, we performed a systematic review and meta-analysis of 60 human central nervous system transcriptomic datasets in the public Gene Expression Omnibus and ArrayExpress repositories, comprising a total of 2,600 AD, LBD, and ALS-FTD patients and age-matched controls which passed our stringent quality control pipeline. Here, we provide the results of differential expression analyses with data quality reports for each of these 60 datasets. This atlas of differential expression across AD, LBD, and ALS-FTD may guide future work to elucidate the pathophysiological drivers of these individual diseases as well as the common substrate of neurodegeneration.

摘要

在努里等人的研究[1]中,我们假设在包括阿尔茨海默病(AD)、路易体病(LBD)以及肌萎缩侧索硬化症和额颞叶痴呆(ALS-FTD)谱系在内的神经退行性蛋白质病背后存在共同的基因表达特征。为了验证这一假设,我们对公共基因表达综合数据库(Gene Expression Omnibus)和ArrayExpress数据库中的60个人类中枢神经系统转录组数据集进行了系统综述和荟萃分析,这些数据集总共包含2600名AD、LBD和ALS-FTD患者以及通过我们严格质量控制流程的年龄匹配对照。在此,我们提供这60个数据集中每个数据集的差异表达分析结果及数据质量报告。这个跨越AD、LBD和ALS-FTD的差异表达图谱可能会为未来的研究提供指导,以阐明这些个体疾病的病理生理驱动因素以及神经退行性变的共同基础。

相似文献

1
Differential gene expression data from the human central nervous system across Alzheimer's disease, Lewy body diseases, and the amyotrophic lateral sclerosis and frontotemporal dementia spectrum.来自人类中枢神经系统的差异基因表达数据,涵盖阿尔茨海默病、路易体病以及肌萎缩侧索硬化症和额颞叶痴呆谱系。
Data Brief. 2021 Feb 11;35:106863. doi: 10.1016/j.dib.2021.106863. eCollection 2021 Apr.
2
Systematic review and meta-analysis of human transcriptomics reveals neuroinflammation, deficient energy metabolism, and proteostasis failure across neurodegeneration.系统综述和人类转录组学的荟萃分析揭示了神经炎症、能量代谢缺陷和蛋白质稳态失效在神经退行性变中的作用。
Neurobiol Dis. 2021 Feb;149:105225. doi: 10.1016/j.nbd.2020.105225. Epub 2020 Dec 19.
3
Selective Genetic Overlap Between Amyotrophic Lateral Sclerosis and Diseases of the Frontotemporal Dementia Spectrum.肌萎缩侧索硬化症与额颞叶痴呆谱系疾病之间的选择性遗传重叠。
JAMA Neurol. 2018 Jul 1;75(7):860-875. doi: 10.1001/jamaneurol.2018.0372.
4
A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity.PLCG2 中的非同义突变可降低阿尔茨海默病、路易体痴呆和额颞叶痴呆的风险,并增加长寿的可能性。
Acta Neuropathol. 2019 Aug;138(2):237-250. doi: 10.1007/s00401-019-02026-8. Epub 2019 May 27.
5
Neurodegenerative disease concomitant proteinopathies are prevalent, age-related and APOE4-associated.神经退行性疾病伴随的蛋白病普遍存在,与年龄相关,与 APOE4 相关。
Brain. 2018 Jul 1;141(7):2181-2193. doi: 10.1093/brain/awy146.
6
Genome-wide structural variant analysis identifies risk loci for non-Alzheimer's dementias.全基因组结构变异分析确定了非阿尔茨海默病性痴呆的风险基因座。
Cell Genom. 2023 May 4;3(6):100316. doi: 10.1016/j.xgen.2023.100316. eCollection 2023 Jun 14.
7
Distinctions between the dementia in amyotrophic lateral sclerosis with frontotemporal dementia and the dementia of Alzheimer's disease.肌萎缩侧索硬化伴额颞叶痴呆中的痴呆与阿尔茨海默病性痴呆的区别。
Amyotroph Lateral Scler. 2007 Oct;8(5):276-82. doi: 10.1080/17482960701381911.
8
The converging roles of sequestosome-1/p62 in the molecular pathways of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD).自噬体相关蛋白 1(sequestosome-1)/p62 在肌萎缩侧索硬化症(ALS)和额颞叶痴呆(FTD)的分子途径中的趋同作用。
Neurobiol Dis. 2022 May;166:105653. doi: 10.1016/j.nbd.2022.105653. Epub 2022 Feb 7.
9
The diagnostic performance of neurofilament light chain in CSF and blood for Alzheimer's disease, frontotemporal dementia, and amyotrophic lateral sclerosis: A systematic review and meta-analysis.脑脊液和血液中神经丝轻链对阿尔茨海默病、额颞叶痴呆和肌萎缩侧索硬化症的诊断性能:一项系统评价和荟萃分析。
Alzheimers Dement (Amst). 2019 Nov 4;11:730-743. doi: 10.1016/j.dadm.2019.08.009. eCollection 2019 Dec.
10
Lipid Metabolism and Survival Across the Frontotemporal Dementia-Amyotrophic Lateral Sclerosis Spectrum: Relationships to Eating Behavior and Cognition.脂质代谢与额颞叶痴呆-肌萎缩侧索硬化症谱系的生存:与饮食行为和认知的关系。
J Alzheimers Dis. 2018;61(2):773-783. doi: 10.3233/JAD-170660.

引用本文的文献

1
Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer's disease.阿尔茨海默病时空进展过程中星形胶质细胞的转录组变化
Nat Neurosci. 2024 Dec;27(12):2384-2400. doi: 10.1038/s41593-024-01791-4. Epub 2024 Nov 11.
2
Exploring the globoid cell leukodystrophy protein network and therapeutic interventions.探索球样细胞脑白质营养不良蛋白网络和治疗干预措施。
Sci Rep. 2024 Aug 5;14(1):18067. doi: 10.1038/s41598-024-66437-8.
3
Distinct transcriptomic responses to Aβ plaques, neurofibrillary tangles, and APOE in Alzheimer's disease.阿尔茨海默病中 Aβ 斑块、神经原纤维缠结和 APOE 的不同转录组反应。
Alzheimers Dement. 2024 Jan;20(1):74-90. doi: 10.1002/alz.13387. Epub 2023 Jul 17.
4
Distinct Transcriptomic Responses to Aβ plaques, Neurofibrillary Tangles, and in Alzheimer's Disease.阿尔茨海默病中对β淀粉样蛋白斑块、神经原纤维缠结及[此处原文缺失内容]的不同转录组反应
bioRxiv. 2023 Mar 21:2023.03.20.533303. doi: 10.1101/2023.03.20.533303.
5
Bi-dimensional principal gene feature selection from big gene expression data.从大基因表达数据中进行二维主基因特征选择。
PLoS One. 2022 Dec 7;17(12):e0278583. doi: 10.1371/journal.pone.0278583. eCollection 2022.
6
Targeting S100A4 with niclosamide attenuates inflammatory and profibrotic pathways in models of amyotrophic lateral sclerosis.尼洛替尼靶向 S100A4 可减轻肌萎缩侧索硬化症模型中的炎症和纤维化途径。
J Neuroinflammation. 2021 Jun 12;18(1):132. doi: 10.1186/s12974-021-02184-1.
7
S100A4 in the Physiology and Pathology of the Central and Peripheral Nervous System.S100A4 在中枢和周围神经系统的生理学和病理学中的作用。
Cells. 2021 Apr 2;10(4):798. doi: 10.3390/cells10040798.

本文引用的文献

1
Systematic review and meta-analysis of human transcriptomics reveals neuroinflammation, deficient energy metabolism, and proteostasis failure across neurodegeneration.系统综述和人类转录组学的荟萃分析揭示了神经炎症、能量代谢缺陷和蛋白质稳态失效在神经退行性变中的作用。
Neurobiol Dis. 2021 Feb;149:105225. doi: 10.1016/j.nbd.2020.105225. Epub 2020 Dec 19.
2
ROBUST HYPERPARAMETER ESTIMATION PROTECTS AGAINST HYPERVARIABLE GENES AND IMPROVES POWER TO DETECT DIFFERENTIAL EXPRESSION.稳健的超参数估计可抵御高变异性基因,并提高检测差异表达的能力。
Ann Appl Stat. 2016 Jun;10(2):946-963. doi: 10.1214/16-AOAS920. Epub 2016 Jul 22.
3
Microarray Meta-Analysis and Cross-Platform Normalization: Integrative Genomics for Robust Biomarker Discovery.微阵列元分析与跨平台归一化:用于可靠生物标志物发现的整合基因组学
Microarrays (Basel). 2015 Aug 21;4(3):389-406. doi: 10.3390/microarrays4030389.
4
limma powers differential expression analyses for RNA-sequencing and microarray studies.limma为RNA测序和微阵列研究提供差异表达分析的动力。
Nucleic Acids Res. 2015 Apr 20;43(7):e47. doi: 10.1093/nar/gkv007. Epub 2015 Jan 20.
5
Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: with application to major depressive disorder.调整混杂变量并检测疾病相关基因及其对基因组荟萃分析的影响:以重度抑郁症为例。
BMC Bioinformatics. 2012 Mar 29;13:52. doi: 10.1186/1471-2105-13-52.
6
The sva package for removing batch effects and other unwanted variation in high-throughput experiments.sva 包用于去除高通量实验中的批次效应和其他不需要的变异。
Bioinformatics. 2012 Mar 15;28(6):882-3. doi: 10.1093/bioinformatics/bts034. Epub 2012 Jan 17.
7
A framework for oligonucleotide microarray preprocessing.寡核苷酸微阵列预处理框架。
Bioinformatics. 2010 Oct 1;26(19):2363-7. doi: 10.1093/bioinformatics/btq431. Epub 2010 Aug 5.
8
Asymptotic conditional singular value decomposition for high-dimensional genomic data.高维基因组数据的渐近条件奇异值分解
Biometrics. 2011 Jun;67(2):344-52. doi: 10.1111/j.1541-0420.2010.01455.x. Epub 2010 Jun 16.
9
Microarray data quality control improves the detection of differentially expressed genes.微阵列数据质量控制可提高差异表达基因的检测能力。
Genomics. 2010 Mar;95(3):138-42. doi: 10.1016/j.ygeno.2010.01.003. Epub 2010 Jan 14.
10
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.用于报告评估医疗保健干预措施的系统评价和荟萃分析的PRISMA声明:解释与详述
BMJ. 2009 Jul 21;339:b2700. doi: 10.1136/bmj.b2700.