Suppr超能文献

点的连接错误:改变的线粒体蛋白-蛋白相互作用及其在神经退行性疾病中的作用。

Misconnecting the dots: altered mitochondrial protein-protein interactions and their role in neurodegenerative disorders.

机构信息

Department of Biochemistry, University of Regina, Regina, Saskatchewan, Canada.

出版信息

Expert Rev Proteomics. 2020 Feb;17(2):119-136. doi: 10.1080/14789450.2020.1723419. Epub 2020 Feb 6.

Abstract

: Mitochondria (mt) are protein-protein interaction (PPI) hubs in the cell where mt-localized and associated proteins interact in a fashion critical for cell fitness. Altered mtPPIs are linked to neurodegenerative disorders (NDs) and drivers of pathological associations to mediate ND progression. Mapping altered mtPPIs will reveal how mt dysfunction is linked to NDs.: This review discusses how database sources reflect on the number of mt protein or interaction predictions, and serves as an update on mtPPIs in mt dynamics and homeostasis. Emphasis is given to mRNA expression profiles for mt proteins in human tissues, cellular models relevant to NDs, and altered mtPPIs in NDs such as Parkinson's disease (PD), Amyotrophic lateral sclerosis (ALS) and Alzheimer's disease (AD).: We highlight the scarcity of biomarkers to improve diagnostic accuracy and tracking of ND progression, obstacles in recapitulating NDs using human cellular models to underpin the pathophysiological mechanisms of disease, and the shortage of mt protein interactome reference database(s) of neuronal cells. These bottlenecks are addressed by improvements in induced pluripotent stem cell creation and culturing, patient-derived 3D brain organoids to recapitulate structural arrangements of the brain, and cell sorting to elucidate mt proteome disparities between cell types.

摘要

线粒体(mt)是细胞内的蛋白质-蛋白质相互作用(PPI)枢纽,其中 mt 定位和相关蛋白以对细胞适应性至关重要的方式相互作用。改变的 mtPPIs 与神经退行性疾病(NDs)和介导 ND 进展的病理关联的驱动因素有关。绘制改变的 mtPPIs 将揭示 mt 功能障碍与 NDs 的联系。

本综述讨论了数据库资源如何反映 mt 蛋白或相互作用预测的数量,并更新了 mtPPIs 在 mt 动力学和动态平衡中的作用。重点介绍了人类组织、与 NDs 相关的细胞模型以及 NDs 中改变的 mtPPIs(如帕金森病(PD)、肌萎缩侧索硬化症(ALS)和阿尔茨海默病(AD))中 mt 蛋白的 mRNA 表达谱。

我们强调缺乏改善诊断准确性和跟踪 ND 进展的生物标志物的问题,使用人类细胞模型再现 NDs 以支持疾病病理生理机制的障碍,以及神经元细胞 mt 蛋白互作参考数据库的短缺。通过改进诱导多能干细胞的创建和培养、用于再现大脑结构排列的患者衍生的 3D 脑类器官,以及用于阐明细胞类型之间 mt 蛋白质组差异的细胞分选,可以解决这些瓶颈问题。

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