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小鼠骨骼肌形态和纤维类型组成的半自动分析

Semi-automated Analysis of Mouse Skeletal Muscle Morphology and Fiber-type Composition.

作者信息

Tyagi Sidharth, Beqollari Donald, Lee Chang Seok, Walker Lori A, Bannister Roger A

机构信息

Department of Medicine-Cardiology Division, University of Colorado School of Medicine.

Department of Molecular Physiology and Biophysics, Baylor College of Medicine.

出版信息

J Vis Exp. 2017 Aug 31(126):56024. doi: 10.3791/56024.

Abstract

For years, distinctions between skeletal muscle fiber types were best visualized by myosin-ATPase staining. More recently, immunohistochemical staining of myosin heavy chain (MyHC) isoforms has emerged as a finer discriminator of fiber-type. Type I, type IIA, type IIX and type IIB fibers can now be identified with precision based on their MyHC profile; however, manual analysis of these data can be slow and down-right tedious. In this regard, rapid, accurate assessment of fiber-type composition and morphology is a very desirable tool. Here, we present a protocol for state-of-the-art immunohistochemical staining of MyHCs in frozen sections obtained from mouse hindlimb muscle in concert with a novel semi-automated algorithm that accelerates analysis of fiber-type and fiber morphology. As expected, the soleus muscle displayed staining for type I and type IIA fibers, but not for type IIX or type IIB fibers. On the other hand, the tibialis anterior muscle was composed predominantly of type IIX and type IIB fibers, a small fraction of type IIA fibers and little or no type I fibers. Several image transformations were used to generate probability maps for the purpose of measuring different aspects of fiber morphology (i.e., cross-sectional area (CSA), maximal and minimal Feret diameter). The values obtained for these parameters were then compared with manually-obtained values. No significant differences were observed between either mode of analysis with regards to CSA, maximal or minimal Feret diameter (all p > 0.05), indicating the accuracy of our method. Thus, our immunostaining analysis protocol may be applied to the investigation of effects on muscle composition in many models of aging and myopathy.

摘要

多年来,骨骼肌纤维类型之间的差异通过肌球蛋白 - ATP酶染色能得到最佳呈现。最近,肌球蛋白重链(MyHC)亚型的免疫组织化学染色已成为区分纤维类型的更精细方法。现在,根据其MyHC特征可以精确识别I型、IIA型、IIX型和IIB型纤维;然而,对这些数据进行手动分析可能既缓慢又极其繁琐。在这方面,快速、准确地评估纤维类型组成和形态是非常理想的工具。在此,我们展示了一种用于对从小鼠后肢肌肉获取的冰冻切片进行MyHCs的先进免疫组织化学染色的方案,并结合一种新型半自动算法,该算法可加速纤维类型和纤维形态的分析。正如预期的那样,比目鱼肌显示出I型和IIA型纤维的染色,但未显示IIX型或IIB型纤维的染色。另一方面,胫骨前肌主要由IIX型和IIB型纤维组成,有一小部分IIA型纤维,几乎没有或没有I型纤维。为了测量纤维形态的不同方面(即横截面积(CSA)、最大和最小费雷特直径),使用了几种图像变换来生成概率图。然后将这些参数获得的值与手动获得的值进行比较。在CSA、最大或最小费雷特直径方面,两种分析模式之间均未观察到显著差异(所有p>0.05),这表明我们方法的准确性。因此,我们的免疫染色分析方案可应用于许多衰老和肌病模型中对肌肉组成影响的研究。

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