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A micropatterned hepatocyte coculture model for assessment of liver toxicity using high-content imaging analysis

机译:一种微模式肝细胞共培养模型,用于通过高内涵成像分析评估肝毒性

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The current landscape of in vitro models used to identify drug-or chemical-induced hepatotoxicity relies heavily on cell culture models consisting of HepG2, induced pluripotent stem cell-derived, or primary hepatocytes. While these in vitro models offer powerful approaches for predicting toxicity, each system has challenges, including variable metabolic capacity, brief ex vivo life span in culture, and adoption with standard automated microscopy high-content screening (HCS) systems to measure reproducibility data at the single-cell level. In this report we introduce a novel primary hepatocyte coculture model, HepatoPac?, as an alternative to current model systems for evaluation of in vitro hepatotoxicity in 96-well microtiter plate format examined by HCS. The coculture model consists of primary hepatocytes that are micropatterned to form a discrete microarchitecture or "hepatocyte islands" that are surrounded by supporting fibroblasts resulting in long-term viability and metabolic function of primary hepatocytes. Using multiple HCS image capture and image analysis strategies, we established methods to interrogate various morphometric parameters, such as size, shape, and intensity, at the island or single-cell level. We applied these approaches to identify subpopulations of both fibroblasts and hepatocytes that exhibited alterations in nuclear parameters, cell permeability, mitochondria function, and apoptosis using known reference control compounds and an eight-point dose curve. Subpopulation analysis with additional bioprobe sets can provide a powerful means of addressing differential cell and tissue susceptibilities during compound profiling. Our data show that the HepatoPac is amendable for HCS imaging applications and provides a unique approach for studying hepatotoxicity over prolonged periods of time.
机译:用于鉴定药物或化学诱导的肝毒性的体外模型的当前现状在很大程度上依赖于由HepG2,诱导的多能干细胞衍生的或原代肝细胞组成的细胞培养模型。尽管这些体外模型为预测毒性提供了有力的方法,但每个系统都面临挑战,包括可变的代谢能力,短暂的离体培养寿命以及如何采用标准的自动显微镜高内涵筛选(HCS)系统来测量重现性数据。单细胞水平。在本报告中,我们介绍了一种新颖的原代肝细胞共培养模型HepatoPac ?,作为当前模型系统的替代方案,用于评估HCS检测的96孔微量滴定板形式的体外肝毒性。共培养模型由微图案化的原代肝细胞组成,以形成离散的微结构或“肝细胞岛”,其被支持性成纤维细胞围绕,从而导致原代肝细胞的长期生存能力和代谢功能。使用多种HCS图像捕获和图像分析策略,我们建立了在岛或单细胞水平上询问各种形态参数的方法,例如大小,形状和强度。我们应用这些方法来鉴定成纤维细胞和肝细胞的亚群,这些亚群使用已知的参考对照化合物和八点剂量曲线显示出核参数,细胞通透性,线粒体功能和凋亡的改变。具有其他生物探针组的亚群分析可以提供解决化合物分析过程中不同细胞和组织敏感性的有效手段。我们的数据表明,HepatoPac可用于HCS成像应用,并且为研究长期肝毒性提供了独特的方法。

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