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Single Cell Protein Analysis

Overview of attention for book
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
  3. Altmetric Badge
    Chapter 2 A Microfluidic Device for Immunoassay-Based Protein Analysis of Single E. coli Bacteria
  4. Altmetric Badge
    Chapter 3 Enzyme-Linked ImmunoSpot (ELISpot) for Single-Cell Analysis
  5. Altmetric Badge
    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
Attention for Chapter 9: Multiplexed Peptide-MHC Tetramer Staining with Mass Cytometry.
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Chapter title
Multiplexed Peptide-MHC Tetramer Staining with Mass Cytometry.
Chapter number 9
Book title
Single Cell Protein Analysis
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2987-0_9
Pubmed ID
Book ISBNs
978-1-4939-2986-3, 978-1-4939-2987-0
Authors

Leong, Mei Ling, Newell, Evan W, Mei Ling Leong, Evan W. Newell

Abstract

Mass cytometry is flow cytometry based on single cell mass spectrometry with decreased crosstalk between channels and an ability to probe >40 parameters per cell, making it well suited for multiplexed assays. Peptide major histocompatibility (MHC) tetramer staining allows direct detection of antigen specific cells and is also amenable to multiplexing/combinatorial approaches. Here we describe methods for multiplexed pMHC-tetramer staining using mass cytometry.

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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 36%
Researcher 5 23%
Student > Postgraduate 3 14%
Professor 1 5%
Other 1 5%
Other 0 0%
Unknown 4 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 27%
Immunology and Microbiology 6 27%
Agricultural and Biological Sciences 3 14%
Medicine and Dentistry 2 9%
Chemistry 1 5%
Other 0 0%
Unknown 4 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 07 November 2015.
All research outputs
#7,465,925
of 9,674,536 outputs
Outputs from Methods in molecular biology
#3,823
of 7,408 outputs
Outputs of similar age
#173,584
of 251,955 outputs
Outputs of similar age from Methods in molecular biology
#169
of 350 outputs
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So far Altmetric has tracked 7,408 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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We're also able to compare this research output to 350 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.