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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 18: Fabrication and Mechanical Properties Measurements of 3D Microtissues for the Study of Cell–Matrix Interactions
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Chapter title
Fabrication and Mechanical Properties Measurements of 3D Microtissues for the Study of Cell–Matrix Interactions
Chapter number 18
Book title
The Surfaceome
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7553-2_18
Pubmed ID
Book ISBNs
978-1-4939-7551-8, 978-1-4939-7553-2
Authors

Prasenjit Bose, Chen Yu Huang, Jeroen Eyckmans, Christopher S. Chen, Daniel H. Reich

Abstract

Cell interactions with the extracellular matrix (ECM) are critical to cell and tissue functions involving adhesion, communication, and differentiation. Three-dimensional (3D) in vitro culture systems are an important approach to mimic in vivo cell-matrix interactions for mechanobiology studies and tissue engineering applications. This chapter describes the use of engineered microtissues as 3D constructs in combination with a magnetic tissue gauge (μTUG) system to analyze tissue mechanical properties. The μTUG system is composed of poly(dimethylsiloxane) (PDMS) microwells with vertical pillars in the wells. Self-assembled microtissues containing cells and ECM gel can form between the pillars, and generate mechanical forces that deform the pillars, which provides a readout of those forces. Herein, detailed procedures for microfabrication of the PDMS μTUG system, seeding and growth of cells with ECM gels in the microwells, and measurements of the mechanical properties of the resulting microtissues via magnetic actuation of magnetic sphere-tagged μTUGs are described.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 5 19%
Student > Master 4 15%
Student > Bachelor 3 11%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 5 19%
Readers by discipline Count As %
Engineering 9 33%
Agricultural and Biological Sciences 3 11%
Biochemistry, Genetics and Molecular Biology 3 11%
Physics and Astronomy 2 7%
Neuroscience 1 4%
Other 0 0%
Unknown 9 33%