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用于鉴定能促进包封的原代成肌细胞形成肌管的水凝胶配方的筛选方法。

Screening method to identify hydrogel formulations that facilitate myotube formation from encapsulated primary myoblasts.

作者信息

Deshmukh Dhananjay V, Pasquero Nils, Rathore Gajraj, Zvick Joel, Bar-Nur Ori, Dual Jurg, Tibbitt Mark W

机构信息

Macromolecular Engineering Laboratory, Department of Mechanical and Process Engineering ETH Zurich Zurich Switzerland.

Institue for Mechanical Systems, Department of Mechanical and Process Engineering ETH Zurich Zurich Switzerland.

出版信息

Bioeng Transl Med. 2020 Sep 3;5(3):e10181. doi: 10.1002/btm2.10181. eCollection 2020 Sep.

Abstract

Hydrogel-based three-dimensional (3D) cellular models are attractive for bioengineering and pharmaceutical development as they can more closely resemble the cellular function of native tissue outside of the body. In general, these models are composed of tissue specific cells embedded within a support material, such as a hydrogel. As hydrogel properties directly affect cell function, hydrogel composition is often tailored to the cell type(s) of interest and the functional objective of the model. Here, we develop a parametric analysis and screening method to identify suitable encapsulation conditions for the formation of myotubes from primary murine myoblasts in methacryloyl gelatin (GelMA) hydrogels. The effect of the matrix properties on the myotube formation was investigated by varying GelMA weight percent (wt%, which controls gel modulus), cell density, and Matrigel concentration. Contractile myotubes form via myoblast fusion and are characterized by myosin heavy chain (MyHC) expression. To efficiently screen the gel formulations, we developed a fluorescence-based plate reader assay to quantify MyHC staining in the gel samples, as a metric of myotube formation. We observed that lower GelMA wt% resulted in increased MyHC staining (myotube formation). The cell density did not significantly affect MyHC staining, while the inclusion of Matrigel increased MyHC staining, however, a concentration dependent effect was not observed. These findings were supported by the observation of spontaneously contracting myotubes in samples selected in the initial screen. This work provides a method to rapidly screen hydrogel formulations for the development of 3D cellular models and provides specific guidance on the formulation of gels for myotube formation from primary murine myoblasts in 3D.

摘要

基于水凝胶的三维(3D)细胞模型在生物工程和药物开发中具有吸引力,因为它们可以更紧密地模拟体外天然组织的细胞功能。一般来说,这些模型由嵌入支撑材料(如水凝胶)中的组织特异性细胞组成。由于水凝胶的特性直接影响细胞功能,因此水凝胶的组成通常根据感兴趣的细胞类型和模型的功能目标进行定制。在这里,我们开发了一种参数分析和筛选方法,以确定在甲基丙烯酰明胶(GelMA)水凝胶中由原代小鼠成肌细胞形成肌管的合适封装条件。通过改变GelMA重量百分比(wt%,控制凝胶模量)、细胞密度和基质胶浓度,研究了基质特性对肌管形成的影响。收缩性肌管通过成肌细胞融合形成,并以肌球蛋白重链(MyHC)表达为特征。为了有效地筛选凝胶配方,我们开发了一种基于荧光的酶标仪检测方法,以量化凝胶样品中的MyHC染色,作为肌管形成的指标。我们观察到较低的GelMA wt%导致MyHC染色增加(肌管形成)。细胞密度对MyHC染色没有显著影响,而加入基质胶增加了MyHC染色,然而,未观察到浓度依赖性效应。在初始筛选中选择的样品中观察到自发收缩的肌管,支持了这些发现。这项工作提供了一种快速筛选水凝胶配方以开发3D细胞模型的方法,并为在3D中由原代小鼠成肌细胞形成肌管的凝胶配方提供了具体指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/896d/7510461/957ae50b0d71/BTM2-5-e10181-g001.jpg

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