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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
  2. Altmetric Badge
    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
  17. Altmetric Badge
    Chapter 16 Quantitative Detection of Nucleocytoplasmic Transport of Native Proteins in Single Cells
Attention for Chapter 5: Single Cell Protein Analysis
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Chapter title
Single Cell Protein Analysis
Chapter number 5
Book title
Single Cell Protein Analysis
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2987-0_5
Pubmed ID
Book ISBNs
978-1-4939-2986-3, 978-1-4939-2987-0
Authors

Taniguchi, Yuichi, Yuichi Taniguchi

Abstract

Single-cell proteomic and transcriptomic analysis is an emerging approach for providing quantitative and comprehensive characterization of gene functions in individual cells. This analysis, however, is often hampered by insufficient sensitivity for detecting low copy gene expression products such as transcription factors and regulators. Here I describe a method for the quantitative genome-wide analysis of single-cell protein and mRNA copy numbers with single molecule sensitivity for the model organism Escherichia coli.

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

Geographical breakdown

Country Count As %
Canada 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 50%
Student > Bachelor 1 13%
Other 1 13%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Agricultural and Biological Sciences 2 25%
Engineering 2 25%
Unknown 2 25%

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 19 August 2016.
All research outputs
#7,134,042
of 8,247,986 outputs
Outputs from Methods in molecular biology
#4,085
of 5,881 outputs
Outputs of similar age
#214,385
of 253,919 outputs
Outputs of similar age from Methods in molecular biology
#7
of 11 outputs
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So far Altmetric has tracked 5,881 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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