Proteogenomic Analysis of a Hibernating Mammal Indicates Contribution of Skeletal Muscle Physiology to the Hibernation Phenotype
Proteogenomic Analysis of a Hibernating Mammal Indicates Contribution of Skeletal Muscle Physiology to the Hibernation Phenotype
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DOI：
10.1021/acs.jproteome.5b01138
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发表时间：
2016-04-01
影响因子：
4.4
通讯作者：
Andrews, Matthew T.
中科院分区：
文献类型：
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作者：
Anderson, Kyle J.;Vermillion, Katie L.;Andrews, Matthew T.
哺乳动物冬眠是许多物种在资源可用性和环境条件的波动中生存的一种策略。冬眠的哺乳动物忍受显著降低的心率、体温和耗氧量，但没有表现出典型的病理反应。由于骨骼肌的高丰度和代谢成本，它不仅必须适应冬眠的限制，而且它被定位为在冬眠表型的启动和维持中发挥更积极的作用。在这项研究中，MS/MS蛋白质组数据从十三线地松鼠骨骼肌进行了搜索对自定义数据库的转录组和基因组蛋白质的预测建立使用平台银河-P。这种蛋白质基因组学的方法允许一个彻底的调查骨骼肌蛋白质丰度在其circannual周期。在这些方法鉴定的1563个蛋白质中，有232个差异表达。这些数据支持先前报道的生理转变，同时也为他们的肌肉如何减少氮废物，保持质量和功能以及向其他组织发出信号的具体机制提供了新的见解。此外，蛋白质组学和转录组学数据的结合提供了独特的机会，估计全年骨骼肌中的转录后调控，并改善这种非模式生物的基因组注释。
Mammalian hibernation is a strategy employed by many species to survive fluctuations in resource availability and environmental conditions Hibernating mammals endure conditions of dramatically depressed heart rate, body temperature, and oxygen consumption yet do not show the typical pathological response. Because of the high abundance and metabolic cost of skeletal muscle, not only must it adjust to the constraints of hibernation, but also it is positioned to play a more active role in the initiation and maintenance of the hibernation phenotype. In this study, MS/MS proteomic data from thirteen-lined ground squirrel skeletal muscles were searched against a custom database of transcriptomic and genomic protein predictions built using the platform Galaxy-P. This proteogenomic approach allows for a thorough investigation of skeletal muscle protein abundance throughout their circannual cycle. Of the 1563 proteins identified by these methods, 232 were differentially expressed. These data support previously reported physiological transitions, while also offering new insight into specific mechanisms of how their muscles might be reducing nitrogenous waste, preserving mass and function, and signaling to other tissues. Additionally, the combination of proteomic and transcriptomic data provides unique opportunities for estimating post-transcriptional regulation in skeletal muscle throughout the year and improving genomic annotation for this nonmodel organism.