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Cell Viability Assays

Overview of attention for book
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 6: Ferroptosis and Cell Death Analysis by Flow Cytometry
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Chapter title
Ferroptosis and Cell Death Analysis by Flow Cytometry
Chapter number 6
Book title
Cell Viability Assays
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6960-9_6
Pubmed ID
Book ISBNs
978-1-4939-6959-3, 978-1-4939-6960-9, 978-1-4939-6959-3, 978-1-4939-6960-9
Authors

Daishi Chen, Ilker Y. Eyupoglu, Nicolai Savaskan

Editors

Daniel F. Gilbert, Oliver Friedrich

Abstract

Cell death and its recently discovered regulated form ferroptosis are characterized by distinct morphological, electrophysiological, and pharmacological features. In particular ferroptosis can be induced by experimental compounds and clinical drugs (i.e., erastin, sulfasalazine, sorafenib, and artesunate) in various cell types and cancer cells. Pharmacologically, this cell death process can be inhibited by iron chelators and lipid peroxidation inhibitors. Relevance of this specific cell death form has been found in different pathological conditions such as cancer, neurotoxicity, neurodegeneration, and ischemia. Distinguishing cell viability and cell death is essential for experimental and clinical applications and a key component in flow cytometry experiments. Dead cells can compromise the integrity of the data by nonspecific binding of antibodies and dyes. Therefore it is essential that dead cells are robustly and reproducibly identified and characterized by means of cytometry application. Here we describe a procedure to detect and quantify cell death and its specific form ferroptosis based on standard flow cytometry techniques.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Master 3 18%
Researcher 2 12%
Lecturer > Senior Lecturer 1 6%
Student > Bachelor 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 24%
Agricultural and Biological Sciences 4 24%
Medicine and Dentistry 3 18%
Immunology and Microbiology 1 6%
Neuroscience 1 6%
Other 1 6%
Unknown 3 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 May 2017.
All research outputs
#8,499,921
of 9,770,649 outputs
Outputs from Methods in molecular biology
#5,048
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Outputs of similar age
#219,424
of 263,304 outputs
Outputs of similar age from Methods in molecular biology
#17
of 35 outputs
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We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.