首页> 外文期刊>Scientific reports. >A fast, reliable and sample-sparing method to identify fibre types of single muscle fibres
【24h】

A fast, reliable and sample-sparing method to identify fibre types of single muscle fibres

机译:一种快速,可靠且节省样品的方法,可识别单条肌纤维的纤维类型

获取原文
       

摘要

Many skeletal muscle proteins are present in a cell-specific or fibre-type dependent manner. Stimuli such as exercise, aging, and disease have been reported to result in fibre-specific responses in protein abundances. Thus, fibre-type-specific determination of the content of specific proteins provides enhanced mechanistic understanding of muscle physiology and biochemistry compared with typically performed whole-muscle homogenate analyses. This analysis, however, is laborious and typically not performed. We present a novel dot blotting method for easy and rapid determination of skeletal muscle fibre type based on myosin heavy chain (MHC) isoform presence. Requiring only small amounts of starting muscle tissue (i.e., 2-10?mg wet weight), muscle fibre type is determined in one-tenth of a 1-3-mm fibre segment, with the remainder of each segment pooled with fibre segments of the same type (I or II) for subsequent protein quantification by western blotting. This method, which we validated using standard western blotting, is much simpler and cheaper than previous methods and is adaptable for laboratories routinely performing biochemical analyses. Use of dot blotting for fibre typing will facilitate investigations of fibre-specific responses to diverse stimuli, which will advance our understanding of skeletal muscle physiology and biochemistry.
机译:许多骨骼肌蛋白以细胞特异性或纤维类型依赖性方式存在。据报道,诸如运动,衰老和疾病之类的刺激会导致蛋白质丰富的纤维特异性反应。因此,与通常进行的全肌肉匀浆分析相比,特定蛋白质含量的纤维类型特异性测定可增强对肌肉生理学和生物化学的机械理解。然而,这种分析是费力的并且通常不执行。我们提出了一种新型的斑点印迹方法,可基于肌球蛋白重链(MHC)同工型的存在轻松快速地确定骨骼肌纤维类型。仅需要少量的起始肌肉组织(即2-10 mg湿重),就可以在1-3-mm纤维段的十分之一中确定肌肉纤维的类型,其余各段则与相同类型(I或II),用于随后通过Western印迹进行蛋白质定量。我们使用标准的蛋白质印迹法验证了该方法,该方法比以前的方法更简单,更便宜,并且适用于常规进行生化分析的实验室。使用斑点印迹进行纤维分型将有助于研究纤维对各种刺激的特异性反应,这将增进我们对骨骼肌生理学和生物化学的理解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号