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在大数据时代重编程神经退行性疾病。

Reprogramming neurodegeneration in the big data era.

机构信息

VIB-KU Leuven Center for Brain & Disease Research, Leuven 3000, Belgium; Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium.

出版信息

Curr Opin Neurobiol. 2018 Feb;48:167-173. doi: 10.1016/j.conb.2017.12.015. Epub 2018 Jan 10.

DOI:10.1016/j.conb.2017.12.015
PMID:29331684
Abstract

Recent genome-wide association studies (GWAS) have identified numerous genetic risk variants for late-onset Alzheimer's disease (AD) and Parkinson's disease (PD). However, deciphering the functional consequences of GWAS data is challenging due to a lack of reliable model systems to study the genetic variants that are often of low penetrance and non-coding identities. Pluripotent stem cell (PSC) technologies offer unprecedented opportunities for molecular phenotyping of GWAS variants in human neurons and microglia. Moreover, rapid technological advances in whole-genome RNA-sequencing and epigenome mapping fuel comprehensive and unbiased investigations of molecular alterations in PSC-derived disease models. Here, we review and discuss how integrated studies that utilize PSC technologies and genome-wide approaches may bring new mechanistic insight into the pathogenesis of AD and PD.

摘要

最近的全基因组关联研究(GWAS)已经确定了许多与迟发性阿尔茨海默病(AD)和帕金森病(PD)相关的遗传风险变异。然而,由于缺乏可靠的模型系统来研究遗传变异,这些遗传变异通常具有低外显率和非编码特性,因此解析 GWAS 数据的功能后果具有挑战性。多能干细胞(PSC)技术为在人类神经元和小胶质细胞中对 GWAS 变异进行分子表型分析提供了前所未有的机会。此外,全基因组 RNA 测序和表观基因组图谱技术的快速发展,为 PSC 衍生疾病模型中分子改变的全面和无偏研究提供了动力。在这里,我们回顾和讨论了如何利用 PSC 技术和全基因组方法进行综合研究,为 AD 和 PD 的发病机制带来新的机制见解。

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Reprogramming neurodegeneration in the big data era.在大数据时代重编程神经退行性疾病。
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[Search for risk genes in Alzheimer's disease].[阿尔茨海默病风险基因的搜寻]
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引用本文的文献

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Multi-Layer Picture of Neurodegenerative Diseases: Lessons from the Use of Big Data through Artificial Intelligence.神经退行性疾病的多层图景:通过人工智能使用大数据的经验教训
J Pers Med. 2021 Apr 7;11(4):280. doi: 10.3390/jpm11040280.
2
Applications of machine learning to diagnosis and treatment of neurodegenerative diseases.机器学习在神经退行性疾病诊断和治疗中的应用。
Nat Rev Neurol. 2020 Aug;16(8):440-456. doi: 10.1038/s41582-020-0377-8. Epub 2020 Jul 15.