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Mass Cytometry

Overview of attention for book
Cover of 'Mass Cytometry'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 1 Setting Up Mass Cytometry in a Shared Resource Lab Environment
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    Chapter 2 Citizenship and Money: Historical Snapshots
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    Chapter 2 Acquisition, Processing, and Quality Control of Mass Cytometry Data
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    Chapter 3 To Sell or Not to Sell: The Ethics of ius pecuniae
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    Chapter 3 Visualization of Mass Cytometry Signal Background to Enable Optimal Core Panel Customization and Signal Threshold Gating
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    Chapter 4 Method for Tagging Antibodies with Metals for Mass Cytometry Experiments
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    Chapter 4 A Classification of Investment-Based Citizenship Programmes
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    Chapter 5 ‘Long-Distance Citizens’: Strategies and Interests of States, Companies and Individuals in the Global Race for Wealth
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    Chapter 5 Scalable Conjugation and Characterization of Immunoglobulins with Stable Mass Isotope Reporters for Single-Cell Mass Cytometry Analysis
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    Chapter 6 Ius pecuniae in a Multilevel System: The European Experience
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    Chapter 6 Titration of Mass Cytometry Reagents
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    Chapter 7 Surface Barcoding of Live PBMC for Multiplexed Mass Cytometry
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    Chapter 8 Automated Cell Processing for Mass Cytometry Experiments
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    Chapter 9 Live Cell Barcoding for Efficient Analysis of Small Samples by Mass Cytometry
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    Chapter 10 Staining of Phosphorylated Signalling Markers Protocol for Mass Cytometry
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    Chapter 11 Multiplex MHC Class I Tetramer Combined with Intranuclear Staining by Mass Cytometry
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    Chapter 12 Analysis of the Murine Bone Marrow Hematopoietic System Using Mass and Flow Cytometry
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    Chapter 13 Mass Cytometric Cell Cycle Analysis
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    Chapter 14 Picturing Polarized Myeloid Phagocytes and Regulatory Cells by Mass Cytometry
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    Chapter 15 Quantitative Measurement of Cell-Nanoparticle Interactions Using Mass Cytometry
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    Chapter 16 Data-Driven Flow Cytometry Analysis
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    Chapter 17 Analysis of Mass Cytometry Data
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    Chapter 18 Analysis of High-Dimensional Phenotype Data Generated by Mass Cytometry or High-Dimensional Flow Cytometry
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    Chapter 19 Computational Analysis of High-Dimensional Mass Cytometry Data from Clinical Tissue Samples
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    Chapter 20 Supervised Machine Learning with CITRUS for Single Cell Biomarker Discovery
Attention for Chapter 5: Scalable Conjugation and Characterization of Immunoglobulins with Stable Mass Isotope Reporters for Single-Cell Mass Cytometry Analysis
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Chapter title
Scalable Conjugation and Characterization of Immunoglobulins with Stable Mass Isotope Reporters for Single-Cell Mass Cytometry Analysis
Chapter number 5
Book title
Mass Cytometry
Published by
Humana, New York, NY, May 2019
DOI 10.1007/978-1-4939-9454-0_5
Pubmed ID
31077099
Book ISBNs
978-1-4939-9453-3, 978-1-4939-9454-0
Authors

Felix J. Hartmann, Erin F. Simonds, Nora Vivanco, Trevor Bruce, Luciene Borges, Garry P. Nolan, Matthew H. Spitzer, Sean C. Bendall

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 32%
Student > Bachelor 6 18%
Researcher 5 15%
Professor 3 9%
Student > Postgraduate 2 6%
Other 2 6%
Unknown 5 15%
Readers by discipline Count As %
Immunology and Microbiology 8 24%
Chemistry 5 15%
Medicine and Dentistry 4 12%
Agricultural and Biological Sciences 4 12%
Biochemistry, Genetics and Molecular Biology 3 9%
Other 4 12%
Unknown 6 18%

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