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The Surfaceome

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Cover of 'The Surfaceome'

Table of Contents

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    Book Overview
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    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
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    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 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 title
Mass Spectrometry-Based Identification of Extracellular Domains of Cell Surface N-Glycoproteins: Defining the Accessible Surfaceome for Immunophenotyping Stem Cells and Their Derivatives
Chapter number 4
Book title
The Surfaceome
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7553-2_4
Pubmed ID
Book ISBNs
978-1-4939-7551-8, 978-1-4939-7553-2
Authors

Chelsea M. Fujinaka, Matthew Waas, Rebekah L. Gundry

Abstract

Human stem cells and their progeny are valuable for a variety of research applications and have the potential to revolutionize approaches to regenerative medicine. However, we currently have limited tools to permit live isolation of homogeneous populations of cells apt for mechanistic studies or cellular therapies. While these challenges can be overcome through the use of immunophenotyping based on accessible cell surface markers, the success of this process depends on the availability of reliable antibodies and well-characterized markers, which are lacking for most stem cell lineages. This chapter outlines an iterative process for the development of new cell surface marker barcodes for identifying and selecting stem cell derived progeny of specific cell types, subtypes, and maturation stages, where antibody-independent identification of cell surface proteins is achieved using a modern chemoproteomic approach to specifically identify N-glycoproteins localized to the cell surface. By taking advantage of a large repository of available cell surfaceome data, proteins that are unlikely to confer cell type specificity can be rapidly eliminated from consideration. Subsequently, targeted quantitation by mass spectrometry can be used to refine candidates of interest, and a bioinformatic visualization tool is key to mapping experimental data to candidate protein sequences for the purpose of epitope selection during the antibody development phase. Overall, the process of developing cell surface barcodes for immunophenotyping is iterative and can include multiple rounds of discovery, refinement, and validation depending on the phenotypic resolution required.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Bachelor 3 16%
Student > Master 2 11%
Professor 2 11%
Student > Doctoral Student 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 16%
Agricultural and Biological Sciences 2 11%
Engineering 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Environmental Science 1 5%
Other 4 21%
Unknown 6 32%