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绘制人类骨骼肌蛋白质组图谱:进展与展望。

Mapping the human skeletal muscle proteome: progress and potential.

机构信息

a Department of Biomedical Sciences for Health , University of Milan , Segrate , Milan , Italy.

出版信息

Expert Rev Proteomics. 2017 Sep;14(9):825-839. doi: 10.1080/14789450.2017.1364996. Epub 2017 Aug 14.

Abstract

Human skeletal muscle represents 40% of our body mass and deciphering its proteome composition to further understand mechanisms regulating muscle function under physiological and pathological conditions has proved a challenge. The inter-individual variability, the presence of structurally and functionally different muscle types and the high protein dynamic range require carefully selected methodologies for the assessment of the muscle proteome. Furthermore, physiological studies are understandingly hampered by ethical issues related to biopsies on healthy subjects, making it difficult to recruit matched controls essential for comparative studies. Areas covered: This review critically analyses studies performed on muscle to date and identifies what still remains unknown or poorly investigated in physiological and pathological states, such as training, aging, metabolic disorders and muscular dystrophies. Expert commentary: Efforts should be made on biological fluid analyses targeting low abundant/low molecular weight fragments generated from muscle cell disruption to improve diagnosis and clinical monitoring. From a methodological point of view, particular attention should be paid to improve the characterization of intact proteins and unknown post translational modifications to better understand the molecular mechanisms of muscle disorders.

摘要

人类骨骼肌占体重的 40%,为了进一步了解生理和病理条件下调节肌肉功能的机制,对其蛋白质组组成进行解码一直是一个挑战。个体间的可变性、存在结构和功能不同的肌肉类型以及蛋白质动态范围较高,这都要求仔细选择方法来评估肌肉蛋白质组。此外,由于与健康受试者的活检相关的伦理问题,生理研究受到限制,难以招募到用于比较研究的匹配对照。涵盖领域:本文批判性地分析了迄今为止在肌肉上进行的研究,并确定了在生理和病理状态下仍然未知或研究不足的方面,如训练、衰老、代谢紊乱和肌肉疾病。专家评论:应该针对从肌肉细胞破坏产生的低丰度/低分子量片段的生物流体分析做出努力,以改善诊断和临床监测。从方法学的角度来看,应特别注意改善完整蛋白质和未知翻译后修饰的特性,以更好地了解肌肉疾病的分子机制。

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