The Human Skeletal Muscle Proteome Project: a reappraisal of the current literature.
The Human Skeletal Muscle Proteome Project: a reappraisal of the current literature.
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DOI：
10.1002/jcsm.12121
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发表时间：
2017-02
期刊：
影响因子：
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通讯作者：
Ferrucci L
中科院分区：
文献类型：
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作者：
Gonzalez-Freire M;Semba RD;Ubaida-Mohien C;Fabbri E;Scalzo P;Højlund K;Dufresne C;Lyashkov A;Ferrucci L
骨骼肌是一个巨大的器官，占人体总质量的一半。随着年龄的增长，肌肉质量和力量逐渐下降，在一些人中构成了“肌肉减少症”综合征，这是一种损害移动性，挑战自主性的疾病，是死亡的风险因素。导致肌肉减少症以及肌病的机制仍然知之甚少。人类骨骼肌蛋白质组计划的启动旨在表征肌肉蛋白质以及它们如何随着衰老和疾病而变化。我们对文献进行了广泛的回顾，并分析了可获得的蛋白质数据库。使用PubMed对同行评审研究进行了系统检索。检索词包括“人”、“骨骼肌”、"蛋白质组“、”蛋白质组学“和”质谱“、”液相色谱-质谱（LC-MS/MS）“。从2002年至2015年11月的38篇同行评议的科学出版物中，通过基于质谱的蛋白质组学鉴定了5431种非冗余肌肉蛋白质。我们还开发了一个疾病分类系统的基础上定位和功能的肌肉蛋白质。这样的蛋白质清单应该作为一个有用的背景参考，为未来的研究在肌肉蛋白质组的变化进行评估，通过定量质谱为基础的蛋白质组学方法，发生与衰老和疾病。人类骨骼肌蛋白质组的这种分类和汇编可用于骨骼肌中蛋白质的鉴定和定量，以发现可用于预防和治疗的肌肉减少症和特定肌肉疾病的新机制。
Skeletal muscle is a large organ that accounts for up to half the total mass of the human body. A progressive decline in muscle mass and strength occurs with ageing and in some individuals configures the syndrome of ‘sarcopenia’, a condition that impairs mobility, challenges autonomy, and is a risk factor for mortality. The mechanisms leading to sarcopenia as well as myopathies are still little understood. The Human Skeletal Muscle Proteome Project was initiated with the aim to characterize muscle proteins and how they change with ageing and disease. We conducted an extensive review of the literature and analysed publically available protein databases. A systematic search of peer‐reviewed studies was performed using PubMed. Search terms included ‘human’, ‘skeletal muscle’, ‘proteome’, ‘proteomic(s)’, and ‘mass spectrometry’, ‘liquid chromatography‐mass spectrometry (LC‐MS/MS)’. A catalogue of 5431 non‐redundant muscle proteins identified by mass spectrometry‐based proteomics from 38 peer‐reviewed scientific publications from 2002 to November 2015 was created. We also developed a nosology system for the classification of muscle proteins based on localization and function. Such inventory of proteins should serve as a useful background reference for future research on changes in muscle proteome assessed by quantitative mass spectrometry‐based proteomic approaches that occur with ageing and diseases. This classification and compilation of the human skeletal muscle proteome can be used for the identification and quantification of proteins in skeletal muscle to discover new mechanisms for sarcopenia and specific muscle diseases that can be targeted for the prevention and treatment.