Literature DB >> 22823019

Cell viability assessment: toward content-rich platforms.

Christina Nicole Ramirez1, Christophe Antczak, Hakim Djaballah.   

Abstract

IMPORTANCE OF THE FIELD: Monitoring cell viability in vitro is critical in many areas of biomedical research, and the ultimate goal in drug discovery is the ability to predict the in vivo toxicology of drug candidates based on their toxicity profile in vitro. Over the last decade, the contribution of high-throughput screening toward this goal has been tremendous, providing the ability to screen compounds in parallel against multiple cell types. However, the toxic effects of drug candidates uncovered during clinical trials are by far the main reason for their failure. Over the same period, our understanding of programmed cell death has evolved dramatically with the identification of critical control points in the cell death pathways. As a result, cell viability should no longer be characterized solely on the basis of discrete end point measurements such as membrane permeability. AREAS COVERED IN THIS REVIEW: This review summarizes the traditional viability assays currently commercially available, focusing on methods amenable to high density format. Assays categorized into the following classes are discussed: dye exclusion assays, DNA condensation-based assays and assays monitoring a metabolic function. WHAT THE READER WILL GAIN: We describe current approaches for assessing cell viability and, using case studies, emphasize their limitations. As an alternative, we propose the use of live, multiplexed readouts to accurately record cell death induction. TAKE HOME MESSAGE: Current low-content methods based on single parameter readouts are prone to error due to the heterogeneity of cell populations and the multi-faceted nature of cell death. High-content approaches based on continuous, multiplexed readouts are becoming increasingly important for monitoring multiple markers of cell death induction simultaneously on a cell by cell basis. The use of such content-rich platforms is a necessity to predict the toxicology of drug candidates accurately.

Entities:  

Year:  2010        PMID: 22823019      PMCID: PMC3640448          DOI: 10.1517/17460441003596685

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  43 in total

1.  High and low affinity Ca2+ binding to the sarcoplasmic reticulum: use of a high-affinity fluorescent calcium indicator.

Authors:  V C Chiu; D H Haynes
Journal:  Biophys J       Date:  1977-04       Impact factor: 4.033

Review 2.  Death by design: apoptosis, necrosis and autophagy.

Authors:  Aimee L Edinger; Craig B Thompson
Journal:  Curr Opin Cell Biol       Date:  2004-12       Impact factor: 8.382

3.  Estimation of biomass in growing cell lines by adenosine triphosphate assay.

Authors:  A Lundin; M Hasenson; J Persson; A Pousette
Journal:  Methods Enzymol       Date:  1986       Impact factor: 1.600

4.  Development of a cell-based high-throughput specificity screen using a hepatitis C virus-bovine viral diarrhea virus dual replicon assay.

Authors:  Donald R O'Boyle; Peter T Nower; Julie A Lemm; Lourdes Valera; Jin-Hua Sun; Karen Rigat; Richard Colonno; Min Gao
Journal:  Antimicrob Agents Chemother       Date:  2005-04       Impact factor: 5.191

5.  Flow cytometric recognition of clastogen induced chromatin damage in G0/G1 lymphocytes by non-stoichiometric Hoechst fluorochrome binding.

Authors:  M Kubbies
Journal:  Cytometry       Date:  1990

6.  High concordance of drug-induced human hepatotoxicity with in vitro cytotoxicity measured in a novel cell-based model using high content screening.

Authors:  P J O'Brien; W Irwin; D Diaz; E Howard-Cofield; C M Krejsa; M R Slaughter; B Gao; N Kaludercic; A Angeline; P Bernardi; P Brain; C Hougham
Journal:  Arch Toxicol       Date:  2006-04-06       Impact factor: 5.153

7.  Effect of bromodichloromethane on chorionic gonadotrophin secretion by human placental trophoblast cultures.

Authors:  Jiangang Chen; Gordon C Douglas; Twanda L Thirkill; Peter N Lohstroh; Susan R Bielmeier; Michael G Narotsky; Deborah S Best; Randy A Harrison; Kala Natarajan; Rex A Pegram; James W Overstreet; Bill L Lasley
Journal:  Toxicol Sci       Date:  2003-09-11       Impact factor: 4.849

8.  A homogeneous assay to measure live and dead cells in the same sample by detecting different protease markers.

Authors:  Andrew L Niles; Richard A Moravec; P Eric Hesselberth; Michael A Scurria; William J Daily; Terry L Riss
Journal:  Anal Biochem       Date:  2007-04-12       Impact factor: 3.365

9.  Validation of an in vitro screen for phospholipidosis using a high-content biology platform.

Authors:  J K Morelli; M Buehrle; F Pognan; L R Barone; W Fieles; P J Ciaccio
Journal:  Cell Biol Toxicol       Date:  2006-01       Impact factor: 6.691

10.  In vivo imaging of retinal ganglion cell axons within the nerve fiber layer.

Authors:  Akiyasu Kanamori; Maria-Magdalena Catrinescu; Manuela Traistaru; Rachel Beaubien; Leonard A Levin
Journal:  Invest Ophthalmol Vis Sci       Date:  2009-09-24       Impact factor: 4.799

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  18 in total

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Authors:  Christina N Ramirez; Tatsuya Ozawa; Toshimitsu Takagi; Christophe Antczak; David Shum; Robert Graves; Eric C Holland; Hakim Djaballah
Journal:  Assay Drug Dev Technol       Date:  2010-12-23       Impact factor: 1.738

2.  A high content assay to assess cellular fitness.

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Journal:  Comb Chem High Throughput Screen       Date:  2014-01       Impact factor: 1.339

3.  An Automated Differential Nuclear Staining Assay for Accurate Determination of Mitocan Cytotoxicity.

Authors:  Jingqi Pei; Svetlana B Panina; Natalia V Kirienko
Journal:  J Vis Exp       Date:  2020-05-12       Impact factor: 1.355

4.  Multiplexed drug testing of tumor slices using a microfluidic platform.

Authors:  A Folch; R C Rostomily; L F Horowitz; A D Rodriguez; Z Dereli-Korkut; R Lin; K Castro; A M Mikheev; R J Monnat
Journal:  NPJ Precis Oncol       Date:  2020-05-19

Review 5.  A High-Content Screening Technology for Quantitatively Studying Podocyte Dynamics.

Authors:  Jochen Reiser; Ha Won Lee; Vineet Gupta; Mehmet M Altintas
Journal:  Adv Chronic Kidney Dis       Date:  2017-05       Impact factor: 3.620

6.  An arrayed genome-scale lentiviral-enabled short hairpin RNA screen identifies lethal and rescuer gene candidates.

Authors:  Bhavneet Bhinder; Christophe Antczak; Christina N Ramirez; David Shum; Nancy Liu-Sullivan; Constantin Radu; Mark G Frattini; Hakim Djaballah
Journal:  Assay Drug Dev Technol       Date:  2012-11-30       Impact factor: 1.738

7.  Evaluation of impermeant, DNA-binding dye fluorescence as a real-time readout of eukaryotic cell toxicity in a high throughput screening format.

Authors:  Lucius Chiaraviglio; James E Kirby
Journal:  Assay Drug Dev Technol       Date:  2014-05       Impact factor: 1.738

8.  Designs and concept reliance of a fully automated high-content screening platform.

Authors:  Constantin Radu; Hosna Sana Adrar; Ab Alamir; Ian Hatherley; Trung Trinh; Hakim Djaballah
Journal:  J Lab Autom       Date:  2012-07-12

9.  A high-content biosensor-based screen identifies cell-permeable activators and inhibitors of EGFR function: implications in drug discovery.

Authors:  Christophe Antczak; Jeni P Mahida; Bhavneet Bhinder; Paul A Calder; Hakim Djaballah
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Review 10.  Modeling chemotherapy induced peripheral neuropathy (CIPN) in vitro: Prospects and limitations.

Authors:  Helmar C Lehmann; Nathan P Staff; Ahmet Hoke
Journal:  Exp Neurol       Date:  2019-12-05       Impact factor: 5.330

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