High Content Analysis of Sublethal Cytotoxicity in Human HepG2 Hepatocytes for Assessing Potential and Mechanism for Chemical‐ and Drug‐Induced Human Toxicity

2007 ◽  
pp. 293-316 ◽  
Author(s):  
Peter J. O'Brien
2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Arvind Pradip ◽  
Daniella Steel ◽  
Susanna Jacobsson ◽  
Gustav Holmgren ◽  
Magnus Ingelman-Sundberg ◽  
...  

Hepatotoxicity is one of the most cited reasons for withdrawal of approved drugs from the market. The use of nonclinically relevantin vitroandin vivotesting systems contributes to the high attrition rates. Recent advances in differentiating human induced pluripotent stem cells (hiPSCs) into pure cultures of hepatocyte-like cells expressing functional drug metabolizing enzymes open up possibilities for novel, more relevant human cell based toxicity models. The present study aimed to investigate the use of hiPSC derived hepatocytes for conducting mechanistic toxicity testing by image based high content analysis (HCA). The hiPSC derived hepatocytes were exposed to drugs known to cause hepatotoxicity through steatosis and phospholipidosis, measuring several endpoints representing different mechanisms involved in drug induced hepatotoxicity. The hiPSC derived hepatocytes were benchmarked to the HepG2 cell line and generated robust HCA data with low imprecision between plates and batches. The different parameters measured were detected at subcytotoxic concentrations and the order of which the compounds were categorized (as severe, moderate, mild, or nontoxic) based on the degree of injury at isomolar concentration corresponded to previously published data. Taken together, the present study shows how hiPSC derived hepatocytes can be used as a platform for screening drug induced hepatotoxicity by HCA.


2021 ◽  
pp. 247255522110024
Author(s):  
Yunhong Nong ◽  
Yanyan Hou ◽  
Yuting Pu ◽  
Si Li ◽  
Yan Lan

Throughout recent decades, histone deacetylase (HDAC) inhibitors have shown encouraging potential in cancer treatment, and several pan-HDAC inhibitors have been approved for treating malignant cancers. Numerous adverse effects of pan-HDAC inhibitors have been reported, however, during preclinical and clinical evaluations. To avoid undesirable responses, an increasing number of investigations are focusing on the development of isotype-selective HDAC inhibitors. In this study, we present an effective and quantitative cellular assay using high-content analysis (HCA) to determine compounds’ inhibition of the activity of HDAC6 and Class I HDAC isoforms, by detecting the acetylation of their corresponding substrates (i.e., α-tubulin and histone H3). Several conditions that are critical for HCA assays, such as cell seeding number, fixation and permeabilization reagent, and antibody dilution, have been fully validated in this study. We used selective HDAC6 inhibitors and inhibitors targeting different HDAC isoforms to optimize and validate the capability of the HCA assay. The results indicated that the HCA assay is a robust assay for quantifying compounds’ selectivity of HDAC6 and Class I HDAC isoforms in cells. Moreover, we screened a panel of compounds for HDAC6 selectivity using this HCA assay, which provided valuable information for the structure–activity relationship (SAR). In summary, our results suggest that the HCA assay is a powerful tool for screening selective HDAC6 inhibitors.


Author(s):  
Jianying Guo ◽  
Peizhe Wang ◽  
Berna Sozen ◽  
Hui Qiu ◽  
Yonglin Zhu ◽  
...  

2015 ◽  
Vol 7 (4) ◽  
pp. 435-446 ◽  
Author(s):  
Sebastián L. Vega ◽  
Anandika Dhaliwal ◽  
Varun Arvind ◽  
Parth J. Patel ◽  
Nick R. M. Beijer ◽  
...  

Timely classification of stem cell lineage commitment in response to cell–microenvironment interactions using high content analysis of sub-nuclear protein organization.


2013 ◽  
Vol 18 (10) ◽  
pp. 1246-1259 ◽  
Author(s):  
Beverley J. Isherwood ◽  
Rebecca E. Walls ◽  
Mark E. Roberts ◽  
Thomas M. Houslay ◽  
Sandra R. Brave ◽  
...  

Phenotypic screening seeks to identify substances that modulate phenotypes in a desired manner with the aim of progressing first-in-class agents. Successful campaigns require physiological relevance, robust screening, and an ability to deconvolute perturbed pathways. High-content analysis (HCA) is increasingly used in cell biology and offers one approach to prosecution of phenotypic screens, but challenges exist in exploitation where data generated are high volume and complex. We combine development of an organotypic model with novel HCA tools to map phenotypic responses to pharmacological perturbations. We describe implementation for angiogenesis, a process that has long been a focus for therapeutic intervention but has lacked robust models that recapitulate more completely mechanisms involved. The study used human primary endothelial cells in co-culture with stromal fibroblasts to model multiple aspects of angiogenic signaling: cell interactions, proliferation, migration, and differentiation. Multiple quantitative descriptors were derived from automated microscopy using custom-designed algorithms. Data were extracted using a bespoke informatics platform that integrates processing, statistics, and feature display into a streamlined workflow for building and interrogating fingerprints. Ninety compounds were characterized, defining mode of action by phenotype. Our approach for assessing phenotypic outcomes in complex assay models is robust and capable of supporting a range of phenotypic screens at scale.


2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Bernard Michael Corfe ◽  
Joanna Chowdry ◽  
Gareth J. Griffiths ◽  
Rod P. Benson

2015 ◽  
Vol 7 (10) ◽  
pp. 4071-4089 ◽  
Author(s):  
Douglas J. Kelly ◽  
Sean C. Warren ◽  
Dominic Alibhai ◽  
Sunil Kumar ◽  
Yuriy Alexandrov ◽  
...  

An HCA-FLIM instrument is presented alongside exemplar oligomerisation, intermolecular and intramolecular FRET assays that require robust measurement of small lifetime changes.


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