Profiling native pulmonary basement membrane stiffness using atomic force microscopy

IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Nature Protocols Pub Date : 2024-03-01 DOI:10.1038/s41596-024-00955-7
Bastian Hartmann, Lutz Fleischhauer, Monica Nicolau, Thomas Hartvig Lindkær Jensen, Florin-Andrei Taran, Hauke Clausen-Schaumann, Raphael Reuten
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Abstract

Mammalian cells sense and react to the mechanics of their immediate microenvironment. Therefore, the characterization of the biomechanical properties of tissues with high spatial resolution provides valuable insights into a broad variety of developmental, homeostatic and pathological processes within living organisms. The biomechanical properties of the basement membrane (BM), an extracellular matrix (ECM) substructure measuring only ∼100–400 nm across, are, among other things, pivotal to tumor progression and metastasis formation. Although the precise assignment of the Young’s modulus E of such a thin ECM substructure especially in between two cell layers is still challenging, biomechanical data of the BM can provide information of eminent diagnostic potential. Here we present a detailed protocol to quantify the elastic modulus of the BM in murine and human lung tissue, which is one of the major organs prone to metastasis. This protocol describes a streamlined workflow to determine the Young’s modulus E of the BM between the endothelial and epithelial cell layers shaping the alveolar wall in lung tissues using atomic force microscopy (AFM). Our step-by-step protocol provides instructions for murine and human lung tissue extraction, inflation of these tissues with cryogenic cutting medium, freezing and cryosectioning of the tissue samples, and AFM force-map recording. In addition, it guides the reader through a semi-automatic data analysis procedure to identify the pulmonary BM and extract its Young’s modulus E using an in-house tailored user-friendly AFM data analysis software, the Center for Applied Tissue Engineering and Regenerative Medicine processing toolbox, which enables automatic loading of the recorded force maps, conversion of the force versus piezo-extension curves to force versus indentation curves, calculation of Young’s moduli and generation of Young’s modulus maps, where the pulmonary BM can be identified using a semi-automatic spatial filtering tool. The entire protocol takes 1–2 d. Atomic force microscopy can be used to determine the stiffness of materials. This protocol describes how to measure and quantify the Young’s modulus E of pulmonary mouse and human basement membranes with atomic force microscopy and the Center for Applied Tissue Engineering and Regenerative Medicine processing toolbox.

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利用原子力显微镜分析原生肺基底膜硬度
哺乳动物细胞能感知其周围微环境的力学特性并做出反应。因此,对组织的生物力学特性进行高空间分辨率的表征,为了解生物体内的各种发育、平衡和病理过程提供了宝贵的视角。基底膜(BM)是细胞外基质(ECM)中直径仅为 100-400 纳米的子结构,其生物力学特性对肿瘤的发展和转移的形成至关重要。虽然精确测定这种薄 ECM 基质(尤其是两层细胞之间的 ECM 基质)的杨氏模量 E 仍具有挑战性,但 BM 的生物力学数据可提供具有重要诊断潜力的信息。在此,我们介绍了量化小鼠和人类肺组织中基质弹性模量的详细方案,肺组织是容易发生转移的主要器官之一。该方案描述了一个简化的工作流程,利用原子力显微镜(AFM)测定肺组织中形成肺泡壁的内皮细胞层和上皮细胞层之间的基质杨氏模量 E。我们的分步方案提供了小鼠和人类肺组织提取、低温切割介质充气、组织样本冷冻和低温切片以及原子力显微镜力图记录的说明。该软件可自动加载记录的力图,将力与压伸曲线转换为力与压痕曲线,计算杨氏模量并生成杨氏模量图,其中可使用半自动空间过滤工具识别肺基质。整个过程需要 1-2 天。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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