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酵母蛋白病模型:一种用于解读神经退行性变基础的强大工具。

Yeast proteinopathy models: a robust tool for deciphering the basis of neurodegeneration.

作者信息

Shrestha Amit, Megeney Lynn A

机构信息

Ottawa Hospital Research Institute, Regenerative Medicine Program, Sprott Centre for Stem Cell Research, The Ottawa Hospital, Ottawa, Ontario, Canada. ; Department of Cellular and Molecular Medicine University of Ottawa, Ottawa, Ontario, Canada.

Ottawa Hospital Research Institute, Regenerative Medicine Program, Sprott Centre for Stem Cell Research, The Ottawa Hospital, Ottawa, Ontario, Canada. ; Department of Cellular and Molecular Medicine University of Ottawa, Ottawa, Ontario, Canada ; Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.

出版信息

Microb Cell. 2015 Nov 26;2(12):458-465. doi: 10.15698/mic2015.12.243.

Abstract

Protein quality control or proteostasis is an essential determinant of basic cell health and aging. Eukaryotic cells have evolved a number of proteostatic mechanisms to ensure that proteins retain functional conformation, or are rapidly degraded when proteins misfold or self-aggregate. Disruption of proteostasis is now widely recognized as a key feature of aging related illness, specifically neurodegenerative disease. For example, Alzheimer's disease, Huntington's disease, Parkinson's disease and Amyotrophic Lateral Sclerosis (ALS) each target and afflict distinct neuronal cell subtypes, yet this diverse array of human pathologies share the defining feature of aberrant protein aggregation within the affected cell population. Here, we review the use of budding yeast as a robust proxy to study the intersection between proteostasis and neurodegenerative disease. The humanized yeast model has proven to be an amenable platform to identify both, conserved proteostatic mechanisms across eukaryotic phyla and novel disease specific molecular dysfunction. Moreover, we discuss the intriguing concept that yeast specific proteins may be utilized as bona fide therapeutic agents, to correct proteostasis errors across various forms of neurodegeneration.

摘要

蛋白质质量控制或蛋白质稳态是细胞基本健康和衰老的重要决定因素。真核细胞已经进化出多种蛋白质稳态机制,以确保蛋白质保持功能构象,或者在蛋白质错误折叠或自我聚集时迅速降解。蛋白质稳态的破坏现在被广泛认为是衰老相关疾病,特别是神经退行性疾病的一个关键特征。例如,阿尔茨海默病、亨廷顿病、帕金森病和肌萎缩侧索硬化症(ALS)分别靶向并影响不同的神经元细胞亚型,但这一系列不同的人类疾病都具有在受影响细胞群体中异常蛋白质聚集的特征。在这里,我们综述了使用芽殖酵母作为一个强大的模型来研究蛋白质稳态与神经退行性疾病之间的交叉点。人源化酵母模型已被证明是一个合适的平台,既能识别跨真核生物门保守的蛋白质稳态机制,也能识别新的疾病特异性分子功能障碍。此外,我们还讨论了一个有趣的概念,即酵母特异性蛋白质可以用作真正的治疗剂,以纠正各种形式神经退行性变中的蛋白质稳态错误。

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