rna测序的肌肉可塑性抵抗运动训练和废弃在青年和老年

R. Fernandez-Gonzalo, C. Willis, T. Etheridge, C. Deane
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摘要

维持骨骼肌的质量和功能对整个生命周期的健康和幸福至关重要。然而,由于体力活动减少(如久坐不动)、固定不动、卧床休息或微重力而停用,会对骨骼肌健康产生重大不利影响。相反,阻力运动训练(RET)会诱导积极的肌肉质量和力量适应。一些研究利用微阵列技术分别了解废弃和RET后肌肉萎缩和肥大的转录基础,以设计完全有效的治疗干预措施。最近,随着成本的迅速下降,rna测序(RNA-seq)越来越多地应用于探索肌肉对RET和废用的适应。本综述的目的是总结通过RNA-seq测量的年轻人和老年人对RET或停用的转录反应。我们还强调了分析方面的考虑,以最大限度地发挥RNA-seq在骨骼肌研究中的效用。迄今为止,通过RNA-seq获得的有限数量的肌肉转录特征通常与微阵列获得的一致。然而,RNA-seq可以提供额外的分子洞察力,特别是当与数据驱动的方法(如相关网络分析)相结合时。在这种情况下,必须考虑最合适的研究设计参数以及生物信息学和统计学方法。这将有助于使用RNA-seq来更好地了解骨骼肌可塑性的转录调节因子对增加或减少使用的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RNA-Sequencing Muscle Plasticity to Resistance Exercise Training and Disuse in Youth and Older Age
Maintenance of skeletal muscle mass and function is critical to health and wellbeing throughout the lifespan. However, disuse through reduced physical activity (e.g., sedentarism), immobilisation, bed rest or microgravity has significant adverse effects on skeletal muscle health. Conversely, resistance exercise training (RET) induces positive muscle mass and strength adaptations. Several studies have employed microarray technology to understand the transcriptional basis of muscle atrophy and hypertrophy after disuse and RET, respectively, to devise fully effective therapeutic interventions. More recently, rapidly falling costs have seen RNA-sequencing (RNA-seq) increasingly applied in exploring muscle adaptations to RET and disuse. The aim of this review is to summarise the transcriptional responses to RET or disuse measured via RNA-seq in young and older adults. We also highlight analytical considerations to maximise the utility of RNA-seq in the context of skeletal muscle research. The limited number of muscle transcriptional signatures obtained thus far with RNA-seq are generally consistent with those obtained with microarrays. However, RNA-seq may provide additional molecular insight, particularly when combined with data-driven approaches such as correlation network analyses. In this context, it is essential to consider the most appropriate study design parameters as well as bioinformatic and statistical approaches. This will facilitate the use of RNA-seq to better understand the transcriptional regulators of skeletal muscle plasticity in response to increased or decreased use.
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