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Matrix Metalloproteases

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Cover of 'Matrix Metalloproteases'

Table of Contents

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    Book Overview
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    Chapter 1 Expression and Purification of Matrix Metalloproteinases in Escherichia coli
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    Chapter 2 Expression and Purification of a Matrix Metalloprotease Transmembrane Domain in Escherichia coli
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    Chapter 3 Heterologous Expression of the Astacin Protease Meprin β in Pichia pastoris
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    Chapter 4 Structural Studies of Matrix Metalloproteinase by X-Ray Diffraction
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    Chapter 5 Mapping Lipid Bilayer Recognition Sites of Metalloproteinases and Other Prospective Peripheral Membrane Proteins
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    Chapter 6 Using Small Angle X-Ray Scattering (SAXS) to Characterize the Solution Conformation and Flexibility of Matrix Metalloproteinases (MMPs)
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    Chapter 7 Molecular Dynamics Studies of Matrix Metalloproteases
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    Chapter 8 Determining the Substrate Specificity of Matrix Metalloproteases using Fluorogenic Peptide Substrates
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    Chapter 9 Time-Resolved Analysis of Matrix Metalloproteinase Substrates in Complex Samples
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    Chapter 10 Identification of Protease Cleavage Sites by Charge-Based Enrichment of Protein N-Termini
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    Chapter 11 Mapping the Substrate Recognition Landscapes of Metalloproteases Using Comprehensive Mutagenesis
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    Chapter 12 Detection of Matrix Metalloproteinases by Zymography
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    Chapter 13 Imaging Matrix Metalloproteases in Spontaneous Colon Tumors: Validation by Correlation with Histopathology
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    Chapter 14 Virtual High-Throughput Screening for Matrix Metalloproteinase Inhibitors
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    Chapter 15 Computational Approaches to Matrix Metalloprotease Drug Design
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    Chapter 16 A Simple Adaptable Blood-Brain Barrier Cell Model for Screening Matrix Metalloproteinase Inhibitor Functionality
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    Chapter 17 Matrix Metalloproteases as Biomarkers of Disease
Attention for Chapter 16: A Simple Adaptable Blood-Brain Barrier Cell Model for Screening Matrix Metalloproteinase Inhibitor Functionality
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Chapter title
A Simple Adaptable Blood-Brain Barrier Cell Model for Screening Matrix Metalloproteinase Inhibitor Functionality
Chapter number 16
Book title
Matrix Metalloproteases
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6863-3_16
Pubmed ID
Book ISBNs
978-1-4939-6861-9, 978-1-4939-6863-3
Authors

Jennifer S. Myers, Joan Hare, Qing-Xiang Amy Sang

Editors

Charles A. Galea

Abstract

The blood-brain barrier is a multicellular and basement membrane unit that regulates molecular transport between the blood and central nervous system. Many cerebral pathologies, such as acute stroke and chronic vascular dementia, result in a disrupted blood-brain barrier, increasing its permeability and allowing the entry of potentially neurotoxic molecules. The activation of matrix metalloproteinases mediates further blood-brain barrier damage. The inhibition of matrix metalloproteinases is a potential strategy for stroke therapy. As inhibitors are developed, efficient context-specific screening methods will be required. Models of the blood-brain barrier have been extensively used to study neuropathologies and the effect of various treatment options.Herein, we describe a co-culture model of the blood-brain barrier composed of brain microvascular endothelial cells and astrocytes grown on an artificial basement membrane-coated membrane insert. Our cell model forms a barrier and is a simple first approximation of blood-brain barrier integrity. As currently developed, the model may be applied to testing the effect of matrix metalloproteinases and matrix metalloproteinase inhibitors on blood-brain barrier physiology and pathophysiology. The model is a quick and effective evaluation tool for generating nonclinical data in a living cell system before proceeding to animal models.

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 7 37%
Student > Bachelor 5 26%
Student > Doctoral Student 2 11%
Professor 1 5%
Other 1 5%
Other 0 0%
Unknown 3 16%
Readers by discipline Count As %
Medicine and Dentistry 5 26%
Biochemistry, Genetics and Molecular Biology 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Environmental Science 1 5%
Economics, Econometrics and Finance 1 5%
Other 1 5%
Unknown 6 32%