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The Surfaceome

Overview of attention for book
Cover of 'The Surfaceome'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Surfaceome Analysis Protocol for the Identification of Novel Bordetella pertussis Antigens
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    Chapter 2 “Shaving” Live Bacterial Cells with Proteases for Proteomic Analysis of Surface Proteins
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    Chapter 3 Methods for Mapping the Extracellular and Membrane Proteome in the Avian Embryo, and Identification of Putative Vascular Targets or Endothelial Genes
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    Chapter 4 Mass Spectrometry-Based Identification of Extracellular Domains of Cell Surface N-Glycoproteins: Defining the Accessible Surfaceome for Immunophenotyping Stem Cells and Their Derivatives
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    Chapter 5 Application of Higher Density Iron Oxide Nanoparticle Pellicles to Enrich the Plasma Membrane and Its Proteome from Cells in Suspension
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    Chapter 6 Proteomic Profiling of Secreted Proteins, Exosomes, and Microvesicles in Cell Culture Conditioned Media
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    Chapter 7 Cloning, Expression, and Purification of the Glycosylated Transmembrane Protein, Cation-Dependent Mannose 6-Phosphate Receptor, from Sf9 Cells Using the Baculovirus System
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    Chapter 8 Bispecific Antibody Armed T Cells to Target Cancer Cells
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    Chapter 9 Immunophenotyping of Live Human Pluripotent Stem Cells by Flow Cytometry
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    Chapter 10 Detecting Cell Surface Expression of the G Protein-Coupled Receptor CXCR4
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    Chapter 11 NaV Channels: Assaying Biosynthesis, Trafficking, Function
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    Chapter 12 High-Content Electrophysiological Analysis of Human Pluripotent Stem Cell-Derived Cardiomyocytes (hPSC-CMs)
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    Chapter 13 Methods for Evaluation of Vascular Endothelial Cell Function with Transient Receptor Potential (TRP) Channel Drugs
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    Chapter 14 Methods to Study the Signal Transduction of the Surface Receptor Tyrosine Kinase TrkB in Neurons
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    Chapter 15 Polarized Human Retinal Pigment Epithelium Exhibits Distinct Surface Proteome on Apical and Basal Plasma Membranes
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    Chapter 16 Extracellular Matrix Molecule-Based Capture of Mesenchymal Stromal Cells Under Flow
  18. Altmetric Badge
    Chapter 17 Generation of Induced Pluripotent Stem Cells from Patients with COL3A1 Mutations and Differentiation to Smooth Muscle Cells for ECM-Surfaceome Analyses
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    Chapter 18 Fabrication and Mechanical Properties Measurements of 3D Microtissues for the Study of Cell–Matrix Interactions
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    Chapter 19 Discovery of Surface Target Proteins Linking Drugs, Molecular Markers, Gene Regulation, Protein Networks, and Disease by Using a Web-Based Platform Targets-search
Attention for Chapter 3: Methods for Mapping the Extracellular and Membrane Proteome in the Avian Embryo, and Identification of Putative Vascular Targets or Endothelial Genes
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  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Chapter title
Methods for Mapping the Extracellular and Membrane Proteome in the Avian Embryo, and Identification of Putative Vascular Targets or Endothelial Genes
Chapter number 3
Book title
The Surfaceome
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7553-2_3
Pubmed ID
Book ISBNs
978-1-4939-7551-8, 978-1-4939-7553-2
Authors

Witold W. Kilarski, John Herbert, Andreas Bikfalvi, Kilarski, Witold W., Herbert, John, Bikfalvi, Andreas

Abstract

We present a protocol for the specific labeling and isolation of proteins from the membrane surface of endothelial cells and the surrounding extracellular matrix of organs, experimental wounds and tumors using chicken embryos. Proteins are deglycosylated on streptavidin resin and purified after gentle elution and trypsin digestion. Peptides are analyzed by spectroscopy and reverse proteomic fingerprinting. The major advantages of this protocol include reductions in both the background and overrepresentation of single proteins that would otherwise mask less well-represented proteins in the mass spectroscopy analysis. We also present methods to identify putative vascular and endothelial cell targets from isolated chicken membranes and extracellular proteins. The use of human genome and transcriptome data facilitates this analysis. Human orthologs of isolated chicken proteins are identified using best hit BLAST searches against the Human Reference Sequence Database. The expression of Human orthologs is then assessed for endothelial and non-endothelial cell enrichment using second generation RNA-seq sequenced libraries. Scanning of the published literature then provides a ranking score of those genes most likely involved in cancer or having a link to angiogenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Other 1 25%
Unknown 2 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 August 2018.
All research outputs
#13,576,042
of 23,012,811 outputs
Outputs from Methods in molecular biology
#3,654
of 13,156 outputs
Outputs of similar age
#220,029
of 442,345 outputs
Outputs of similar age from Methods in molecular biology
#351
of 1,498 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.