Literature DB >> 25506803

High-content high-throughput assays for characterizing the viability and morphology of human iPSC-derived neuronal cultures.

Oksana Sirenko1, Jayne Hesley, Ivan Rusyn, Evan F Cromwell.   

Abstract

Abstract Development of quantitative high-throughput in vitro assays that enable assessment of viability and morphological changes in neuronal cells is an active area of investigation in drug discovery and environmental chemical safety assessment. High-content imaging is an emerging and efficient tool for generating multidimensional quantitative cellular readouts; in addition, human induced pluripotent stem cell (iPSC)-derived neurons are a promising in vitro model system that emulates both the functionality and behavior of mature neurons, and they are available in quantities sufficient for screening workflows. The goal of this study was to develop high-content imaging and analysis methods to assess multiple phenotypes in human iPSC-derived neuronal cells. Specifically, we optimized cell culture, staining, and imaging protocols in a 384-well assay format and improved laboratory workflow by designing a one-step procedure to reduce assay time and minimize cell disturbance. Phenotypic readouts include quantitative characterization of neurite outgrowth and branching, cell number and viability, as well as measures of adverse effects on mitochondrial integrity and membrane potential. To verify the robustness of the workflow, we tested a series of compounds that are established toxicants. We report concentration-response effects of selected test compounds on human iPSC-derived neuronal cells and illustrate how the proposed methods may be used for high-content high-throughput compound toxicity screening and safety evaluation of drugs and environmental chemicals.

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Mesh:

Year:  2014        PMID: 25506803      PMCID: PMC4270163          DOI: 10.1089/adt.2014.592

Source DB:  PubMed          Journal:  Assay Drug Dev Technol        ISSN: 1540-658X            Impact factor:   1.738


  40 in total

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4.  Mitochondrial membrane potential monitored by JC-1 dye.

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5.  Successful conversion to rapamycin for calcineurin inhibitor-related neurotoxicity following liver transplantation.

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Journal:  Transplant Proc       Date:  2005-05       Impact factor: 1.066

Review 6.  Developmental neurotoxicity testing in vitro: models for assessing chemical effects on neurite outgrowth.

Authors:  Nicholas M Radio; William R Mundy
Journal:  Neurotoxicology       Date:  2008-03-04       Impact factor: 4.294

Review 7.  Relevance of in vitro neurotoxicity testing for regulatory requirements: challenges to be considered.

Authors:  Anna K Bal-Price; Helena T Hogberg; Leonora Buzanska; Sandra Coecke
Journal:  Neurotoxicol Teratol       Date:  2008-12-24       Impact factor: 3.763

8.  Development of a high-throughput screening assay for chemical effects on proliferation and viability of immortalized human neural progenitor cells.

Authors:  Joseph M Breier; Nicholas M Radio; William R Mundy; Timothy J Shafer
Journal:  Toxicol Sci       Date:  2008-06-11       Impact factor: 4.849

Review 9.  Neural progenitor cells as models for high-throughput screens of developmental neurotoxicity: state of the science.

Authors:  Joseph M Breier; Kathrin Gassmann; Reinier Kayser; Hanneke Stegeman; Didima De Groot; Ellen Fritsche; Timothy J Shafer
Journal:  Neurotoxicol Teratol       Date:  2009-06-24       Impact factor: 3.763

10.  Disturbing behavior: neurotoxic effects in children.

Authors:  M May
Journal:  Environ Health Perspect       Date:  2000-06       Impact factor: 9.031

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  19 in total

1.  Risk Characterization of Environmental Samples Using In Vitro Bioactivity and Polycyclic Aromatic Hydrocarbon Concentrations Data.

Authors:  Zunwei Chen; Dillon Lloyd; Yi-Hui Zhou; Weihsueh A Chiu; Fred A Wright; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2021-01-06       Impact factor: 4.849

2.  Micropatterning Facilitates the Long-Term Growth and Analysis of iPSC-Derived Individual Human Neurons and Neuronal Networks.

Authors:  Lena F Burbulla; Kristin G Beaumont; Milan Mrksich; Dimitri Krainc
Journal:  Adv Healthc Mater       Date:  2016-04-24       Impact factor: 9.933

3.  One-Step Seeding of Neural Stem Cells with Vitronectin-Supplemented Medium for High-Throughput Screening Assays.

Authors:  Sheng Dai; Rong Li; Yan Long; Steve Titus; Jinghua Zhao; Ruili Huang; Menghang Xia; Wei Zheng
Journal:  J Biomol Screen       Date:  2016-09-26

Review 4.  iPSC modeling of rare pediatric disorders.

Authors:  Bethany A Freel; Jordan N Sheets; Kevin R Francis
Journal:  J Neurosci Methods       Date:  2019-12-04       Impact factor: 2.390

5.  Editor's Highlight: Multiparametric Image Analysis of Rat Dorsal Root Ganglion Cultures to Evaluate Peripheral Neuropathy-Inducing Chemotherapeutics.

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Journal:  Toxicol Sci       Date:  2017-03-01       Impact factor: 4.849

6.  High-Content Assay Multiplexing for Muscle Toxicity Screening in Human-Induced Pluripotent Stem Cell-Derived Skeletal Myoblasts.

Authors:  William D Klaren; Ivan Rusyn
Journal:  Assay Drug Dev Technol       Date:  2018-08-02       Impact factor: 1.738

Review 7.  In vitro models of axon regeneration.

Authors:  Hassan Al-Ali; Samuel R Beckerman; John L Bixby; Vance P Lemmon
Journal:  Exp Neurol       Date:  2016-01-27       Impact factor: 5.330

Review 8.  Advancing drug discovery for neuropsychiatric disorders using patient-specific stem cell models.

Authors:  Stephen J Haggarty; M Catarina Silva; Alan Cross; Nicholas J Brandon; Roy H Perlis
Journal:  Mol Cell Neurosci       Date:  2016-01-28       Impact factor: 4.314

9.  High-Throughput Phenotypic Assay for Compounds That Influence Mitochondrial Health Using iPSC-Derived Human Neurons.

Authors:  Courtney MacMullen; Ronald L Davis
Journal:  SLAS Discov       Date:  2021-03-16       Impact factor: 3.341

Review 10.  Utility of Induced Pluripotent Stem Cells for the Study and Treatment of Genetic Diseases: Focus on Childhood Neurological Disorders.

Authors:  Serena Barral; Manju A Kurian
Journal:  Front Mol Neurosci       Date:  2016-09-06       Impact factor: 5.639

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