Multiparametric High-Content Assays to Measure Cell Health and Oxidative Damage as a Model for Drug-Induced Liver Injury
Q3 Biochemistry, Genetics and Molecular Biology
Grace Pohan, Jether Amos Espinosa, Steven Chen, Kenny K. Ang, Michelle R. Arkin, Sarine Markossian
{"title":"Multiparametric High-Content Assays to Measure Cell Health and Oxidative Damage as a Model for Drug-Induced Liver Injury","authors":"Grace Pohan, Jether Amos Espinosa, Steven Chen, Kenny K. Ang, Michelle R. Arkin, Sarine Markossian","doi":"10.1002/cpch.90","DOIUrl":null,"url":null,"abstract":"<p>Drug-induced liver injury is an important cause of non-approval in drug development and the withdrawal of already approved drugs from the market. Screening human hepatic cell lines for toxicity has been used extensively to predict drug-induced liver injury in preclinical drug development. Assessing hepatic-cell health with more diverse markers will increase the value of in vitro assays and help predict the mechanism of toxicity. We describe three live cell-based assays using HepG2 cells to measure cell health parameters indicative of hepatotoxicity. The first assay measures cellular ATP levels using luciferase. The second and third assays are multiparametric high-content screens covering a panel of cell health markers including cell count, mitochondrial membrane potential and structure, nuclear morphology, vacuolar density, and reactive oxygen species and glutathione levels. © 2020 Wiley Periodicals LLC.</p><p><b>Basic Protocol 1</b>: Measurement of cellular ATP content</p><p><b>Basic Protocol 2</b>: High-content analysis assay to assess cell count, mitochondrial membrane potential and structure, and reactive oxygen species</p><p><b>Basic Protocol 3</b>: High-content analysis assay to assess nuclear morphology, vacuoles, and glutathione content</p><p><b>Support Protocol 1</b>: Subculturing and maintaining HepG2 cells</p><p><b>Support Protocol 2</b>: Plating HepG2 cell line</p><p><b>Support Protocol 3</b>: Transferring compounds by pin tool</p><p><b>Support Protocol 4</b>: Generating dose-response curves</p>","PeriodicalId":38051,"journal":{"name":"Current protocols in chemical biology","volume":"12 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpch.90","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in chemical biology","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpch.90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 1
Abstract
Drug-induced liver injury is an important cause of non-approval in drug development and the withdrawal of already approved drugs from the market. Screening human hepatic cell lines for toxicity has been used extensively to predict drug-induced liver injury in preclinical drug development. Assessing hepatic-cell health with more diverse markers will increase the value of in vitro assays and help predict the mechanism of toxicity. We describe three live cell-based assays using HepG2 cells to measure cell health parameters indicative of hepatotoxicity. The first assay measures cellular ATP levels using luciferase. The second and third assays are multiparametric high-content screens covering a panel of cell health markers including cell count, mitochondrial membrane potential and structure, nuclear morphology, vacuolar density, and reactive oxygen species and glutathione levels. © 2020 Wiley Periodicals LLC.
Basic Protocol 1: Measurement of cellular ATP content
Basic Protocol 2: High-content analysis assay to assess cell count, mitochondrial membrane potential and structure, and reactive oxygen species
Basic Protocol 3: High-content analysis assay to assess nuclear morphology, vacuoles, and glutathione content
Support Protocol 1: Subculturing and maintaining HepG2 cells
Support Protocol 2: Plating HepG2 cell line
Support Protocol 3: Transferring compounds by pin tool
Support Protocol 4: Generating dose-response curves
多参数高含量测定细胞健康和氧化损伤作为药物性肝损伤模型
药物性肝损伤是导致药物开发不获批和已获批药物退出市场的重要原因。在临床前药物开发中,筛选人肝细胞系的毒性已广泛用于预测药物性肝损伤。用更多样化的标记物来评估肝细胞的健康状况将提高体外检测的价值,并有助于预测毒性机制。我们描述了三种基于活细胞的实验,使用HepG2细胞来测量指示肝毒性的细胞健康参数。第一种方法使用荧光素酶测量细胞ATP水平。第二和第三项检测是多参数高含量筛选,覆盖了一组细胞健康标记,包括细胞计数、线粒体膜电位和结构、核形态、空泡密度、活性氧和谷胱甘肽水平。©2020 Wiley期刊有限公司基本方案1:测量细胞ATP含量基本方案2:高含量分析测定,以评估细胞计数,线粒体膜电位和结构,以及活性氧物质基本方案3:高含量分析测定,以评估核形态,液泡和谷胱甘肽含量支持方案1:继代培养和维持HepG2细胞支持方案2:镀HepG2细胞系支持方案3:支持方案4:生成剂量-反应曲线
本文章由计算机程序翻译,如有差异,请以英文原文为准。