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用于亚细胞分辨率分析球体的自动化高内涵筛选和分析平台。

An automated high-content screening and assay platform for the analysis of spheroids at subcellular resolution.

机构信息

Cell Screening Laboratory, UCD School of Biology & Environmental Science, University College Dublin, Dublin, Ireland.

出版信息

PLoS One. 2024 Nov 12;19(11):e0311963. doi: 10.1371/journal.pone.0311963. eCollection 2024.

Abstract

The endomembrane system is essential for healthy cell function, with the various compartments carrying out a large number of specific biochemical reactions. To date, almost all of our understanding of the endomembrane system has come from the study of cultured cells growing as monolayers. However, monolayer-grown cells only poorly represent the environment encountered by cells in the human body. As a first step to address this disparity, we have developed a platform that allows us to investigate and quantify changes to the endomembrane system in three-dimensional (3D) cell models, in an automated and highly systematic manner. HeLa Kyoto cells were grown on custom-designed micropatterned 96-well plates to facilitate spheroid assembly in the form of highly uniform arrays. Fully automated high-content confocal imaging and analysis were then carried out, allowing us to measure various spheroid-, cellular- and subcellular-level parameters relating to size and morphology. Using two drugs known to perturb endomembrane function, we demonstrate that cell-based assays can be carried out in these spheroids, and that changes to the Golgi apparatus and endosomes can be quantified from individual cells within the spheroids. We also show that image texture measurements are useful tools to discriminate cellular phenotypes. The automated platform that we show here has the potential to be scaled up, thereby allowing large-scale robust screening to be carried out in 3D cell models.

摘要

内质网系统对于细胞的健康功能至关重要,其各个隔室执行着大量特定的生化反应。迄今为止,我们对内质网系统的几乎所有了解都来自于对单层培养细胞的研究。然而,单层培养的细胞并不能很好地代表人体细胞所遇到的环境。作为解决这一差异的第一步,我们开发了一个平台,允许我们以自动化和高度系统的方式研究和量化三维(3D)细胞模型中内质网系统的变化。HeLa Kyoto 细胞在定制设计的微图案 96 孔板上生长,以促进以高度均匀的阵列形式形成球体。然后进行全自动高内涵共聚焦成像和分析,使我们能够测量与大小和形态相关的各种球体、细胞和亚细胞水平的参数。使用两种已知扰乱内质网功能的药物,我们证明可以在这些球体中进行基于细胞的测定,并且可以从球体中的单个细胞中定量测量高尔基体和内体的变化。我们还表明,图像纹理测量是区分细胞表型的有用工具。我们展示的这个自动化平台具有扩展的潜力,从而可以在 3D 细胞模型中进行大规模稳健的筛选。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008d/11556727/499e4b190f10/pone.0311963.g001.jpg

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