Stem Cell Institute, University of Minnesota Medical School, Minneapolis, MN, USA.
Methods Mol Biol. 2023;2640:453-462. doi: 10.1007/978-1-0716-3036-5_31.
Skeletal muscle is a highly ordered tissue composed of a complex network of a diverse variety of cells. The dynamic spatial and temporal interaction between these cells during homeostasis and during times of injury gives the skeletal muscle its regenerative capacity. To properly understand the process of regeneration, a three-dimensional (3-D) imaging process must be conducted. With the advancement of imaging and computing technology, it has become powerful to analyze spatial data from confocal microscope images. In order to prepare whole tissue skeletal muscle samples for confocal imaging, the muscle must be subjected to tissue clearing. With the use of an ideal optical clearing protocol - one that minimizes light scattering via refractive index mismatching - a more accurate 3-D image of the muscle can be produced as it does not involve the physical sectioning of the muscle. While there have been several protocols relating to the study of 3-D biology in whole tissue, these protocols have primarily been focused on the nervous system. In this chapter, we present a new method for skeletal muscle tissue clearing. In addition, this protocol aims to outline the specific parameters required for taking 3-D images of immunofluorescence-stained skeletal muscle samples using a confocal microscope.
骨骼肌是一种高度有序的组织,由多种细胞组成的复杂网络构成。在稳态和损伤时,这些细胞之间的动态空间和时间相互作用赋予了骨骼肌的再生能力。为了正确理解再生过程,必须进行三维(3-D)成像过程。随着成像和计算技术的进步,分析共聚焦显微镜图像中的空间数据变得非常强大。为了准备用于共聚焦成像的整个组织骨骼肌样本,必须对肌肉进行组织透明化处理。通过使用理想的光学透明化方案 - 通过折射率失配最小化光散射的方案 - 可以生成更准确的肌肉 3-D 图像,因为它不涉及肌肉的物理切片。虽然已经有几个与整个组织中的 3-D 生物学研究相关的方案,但这些方案主要集中在神经系统上。在本章中,我们提出了一种新的骨骼肌组织透明化方法。此外,该方案旨在概述使用共聚焦显微镜获取免疫荧光染色骨骼肌样本的 3-D 图像所需的特定参数。
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