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Cell Viability Assays

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Cover of 'Cell Viability Assays'

Table of Contents

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    Book Overview
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    Chapter 1 Basic Colorimetric Proliferation Assays: MTT, WST, and Resazurin
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    Chapter 2 Assaying Cellular Viability Using the Neutral Red Uptake Assay
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    Chapter 3 Assessment of Cell Viability with Single-, Dual-, and Multi-Staining Methods Using Image Cytometry
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    Chapter 4 High-Throughput Spheroid Screens Using Volume, Resazurin Reduction, and Acid Phosphatase Activity
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    Chapter 5 A Protocol for In Vitro High-Throughput Chemical Susceptibility Screening in Differentiating NT2 Stem Cells
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    Chapter 6 Ferroptosis and Cell Death Analysis by Flow Cytometry
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    Chapter 7 Assaying Mitochondrial Respiration as an Indicator of Cellular Metabolism and Fitness
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    Chapter 8 An ATP-Based Luciferase Viability Assay for Animal African Trypanosomes Using a 96-Well Plate
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    Chapter 9 SYBR® Green I-Based Fluorescence Assay to Assess Cell Viability of Malaria Parasites for Routine Use in Compound Screening
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    Chapter 10 Screening Applications to Test Cellular Fitness in Transwell® Models After Nanoparticle Treatment
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    Chapter 11 Assays for Analyzing the Role of Transport Proteins in the Uptake and the Vectorial Transport of Substances Affecting Cell Viability
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    Chapter 12 Metabolite Profiling of Mammalian Cell Culture Processes to Evaluate Cellular Viability
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    Chapter 13 Assaying Spontaneous Network Activity and Cellular Viability Using Multi-well Microelectrode Arrays
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    Chapter 14 Quantitative Ratiometric Ca2+ Imaging to Assess Cell Viability
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    Chapter 15 Functional Viability: Measurement of Synaptic Vesicle Pool Sizes
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    Chapter 16 Phenotyping Cellular Viability by Functional Analysis of Ion Channels: GlyR-Targeted Screening in NT2-N Cells
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    Chapter 17 Systematic Cell-Based Phenotyping of Missense Alleles
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    Chapter 18 Second Harmonic Generation Microscopy of Muscle Cell Morphology and Dynamics
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    Chapter 19 Assessment of Population and ECM Production Using Multiphoton Microscopy as an Indicator of Cell Viability
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    Chapter 20 Average Rheological Quantities of Cells in Monolayers
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    Chapter 21 Measurement of Cellular Behavior by Electrochemical Impedance Sensing
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    Chapter 22 Nano-QSAR Model for Predicting Cell Viability of Human Embryonic Kidney Cells
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    Chapter 23 Erratum to: Functional Viability: Measurement of Synaptic Vesicle Pool Sizes
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    Chapter 24 Erratum to: Phenotyping Cellular Viability by Functional Analysis of Ion Channels: GlyR-Targeted Screening in NT2-N Cells
Attention for Chapter 17: Systematic Cell-Based Phenotyping of Missense Alleles
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Chapter title
Systematic Cell-Based Phenotyping of Missense Alleles
Chapter number 17
Book title
Cell Viability Assays
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6960-9_17
Pubmed ID
Book ISBNs
978-1-4939-6959-3, 978-1-4939-6960-9
Authors

Aenne S. Thormählen, Heiko Runz

Editors

Daniel F. Gilbert, Oliver Friedrich

Abstract

Sequencing of the protein-coding genome, the exome, has proven powerful to unravel links between genetic variation and disease for both Mendelian and complex conditions. Importantly, however, the increasing number of sequenced human exomes and mapping of disease-associated alleles is accompanied by a simultaneous, yet exponential increase in the overall number of rare and low frequency alleles identified. For most of these novel alleles, biological consequences remain unknown since reliable experimental approaches to better characterize their impact on protein function are only slowly emerging.Here we review a scalable, cell-based strategy that we have recently established to systematically profile the biological impact of rare and low frequency missense variants in vitro. By applying this approach to missense alleles identified through cohort-level exome sequencing in the low-density lipoprotein receptor (LDLR) we are able to distinguish rare alleles that predispose to familial hypercholesterolemia and myocardial infarction from alleles without obvious impact on LDLR levels or functions. We propose that systematic implementation of such and similar strategies will significantly advance our understanding of the protein-coding human genome and how rare and low frequency genetic variation impacts on health and disease.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Lecturer > Senior Lecturer 1 50%
Readers by discipline Count As %
Medicine and Dentistry 1 50%
Unknown 1 50%