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Single Cell Protein Analysis

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Cover of 'Single Cell Protein Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Single-Cell Western Blotting
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    Chapter 2 A Microfluidic Device for Immunoassay-Based Protein Analysis of Single E. coli Bacteria
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    Chapter 3 Enzyme-Linked ImmunoSpot (ELISpot) for Single-Cell Analysis
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    Chapter 4 Single Cell Protein Analysis
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    Chapter 5 Single Cell Protein Analysis
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    Chapter 6 Microfluidic Flow Cytometry for Single-Cell Protein Analysis
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    Chapter 7 Microfluidic Image Cytometry for Single-Cell Phenotyping of Human Pluripotent Stem Cells
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    Chapter 8 Characterizing Phenotypes and Signaling Networks of Single Human Cells by Mass Cytometry.
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    Chapter 9 Multiplexed Peptide-MHC Tetramer Staining with Mass Cytometry.
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    Chapter 10 Imaging and Mapping of Tissue Constituents at the Single-Cell Level Using MALDI MSI and Quantitative Laser Scanning Cytometry
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    Chapter 11 SPLIFF: A Single-Cell Method to Map Protein-Protein Interactions in Time and Space.
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    Chapter 12 Microfluidic Proximity Ligation Assay for Profiling Signaling Networks with Single-Cell Resolution
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    Chapter 13 Dynamics and Interactions of Individual Proteins in the Membrane of Single, Living Cells
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    Chapter 14 Microfluidics-Enabled Enzyme Activity Measurement in Single Cells
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    Chapter 15 Microfluidic Chemical Cytometry for Enzyme Assays of Single Cells
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    Chapter 16 Quantitative Detection of Nucleocytoplasmic Transport of Native Proteins in Single Cells
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Citations

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Title
Single Cell Protein Analysis
Published by
Springer New York, November 2015
DOI 10.1007/978-1-4939-2987-0
ISBNs
978-1-4939-2986-3, 978-1-4939-2987-0
Editors

Singh, Anup K., Chandrasekaran, Aarthi

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Ph. D. Student 4 17%
Student > Bachelor 3 13%
Student > Master 2 9%
Student > Doctoral Student 1 4%
Other 0 0%
Unknown 6 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 35%
Medicine and Dentistry 2 9%
Environmental Science 2 9%
Agricultural and Biological Sciences 2 9%
Immunology and Microbiology 1 4%
Other 2 9%
Unknown 6 26%