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Protein Terminal Profiling

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Cover of 'Protein Terminal Profiling'

Table of Contents

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    Book Overview
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    Chapter 1 [14C]-Acetyl-Coenzyme A-Based In Vitro N-Terminal Acetylation Assay
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    Chapter 2 DTNB-Based Quantification of In Vitro Enzymatic N-Terminal Acetyltransferase Activity
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    Chapter 3 SILProNAQ: A Convenient Approach for Proteome-Wide Analysis of Protein N-Termini and N-Terminal Acetylation Quantitation
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    Chapter 4 Profiling of Protein N-Termini and Their Modifications in Complex Samples
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    Chapter 5 Protease Substrate Profiling by N-Terminal COFRADIC
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    Chapter 6 Doublet N-Terminal Oriented Proteomics for N-Terminomics and Proteolytic Processing Identification
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    Chapter 7 Multidimensional Analysis of Protease Substrates and Their Cellular Origins in Mixed Secretomes from Multiple Cell Types
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    Chapter 8 System-Wide Profiling of Protein Amino Termini from Formalin-Fixed, Paraffin-Embedded Tissue Specimens for the Identification of Novel Substrates
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    Chapter 9 Identification of Carboxypeptidase Substrates by C-Terminal COFRADIC
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    Chapter 10 ProC-TEL: Profiling of Protein C-Termini by Enzymatic Labeling
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    Chapter 11 Determining Protease Substrates Within a Complex Protein Background Using the PROtein TOpography and Migration Analysis Platform (PROTOMAP)
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    Chapter 12 Multiplexed Protease Specificity Profiling Using Isobaric Labeling
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    Chapter 13 FPPS: Fast Profiling of Protease Specificity
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    Chapter 14 Profiling of Protease Cleavage Sites by Proteome-Derived Peptide Libraries and Quantitative Proteomics
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    Chapter 15 Prediction of Proteases Involved in Peptide Generation
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    Chapter 16 Live-Cell Imaging of Protease Activity: Assays to Screen Therapeutic Approaches
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    Chapter 17 Protein Translocation Assays to Probe Protease Function and Screen for Inhibitors
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    Chapter 18 Simultaneous Detection of Metalloprotease Activities in Complex Biological Samples Using the PrAMA (Proteolytic Activity Matrix Assay) Method
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    Chapter 19 Synthesis and Application of Activity-Based Probes for Proteases
Attention for Chapter 18: Simultaneous Detection of Metalloprotease Activities in Complex Biological Samples Using the PrAMA (Proteolytic Activity Matrix Assay) Method
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Chapter title
Simultaneous Detection of Metalloprotease Activities in Complex Biological Samples Using the PrAMA (Proteolytic Activity Matrix Assay) Method
Chapter number 18
Book title
Protein Terminal Profiling
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6850-3_18
Pubmed ID
Book ISBNs
978-1-4939-6849-7, 978-1-4939-6850-3
Authors

Catharina Conrad, Miles A. Miller, Jörg W. Bartsch, Uwe Schlomann, Douglas A. Lauffenburger

Editors

Oliver Schilling

Abstract

Proteolytic Activity Matrix Analysis (PrAMA) is a method for simultaneously determining the activities of specific Matrix Metalloproteinases (MMPs) and A Disintegrin and Metalloproteinases (ADAMs) in complex biological samples. In mixtures of unknown proteases, PrAMA infers selective metalloproteinase activities by using a panel of moderately specific FRET-based polypeptide protease substrates in parallel, typically monitored by a plate-reader in a 96-well format. Fluorescence measurements are then quantitatively compared to a standard table of catalytic efficiencies measured from purified mixtures of individual metalloproteinases and FRET substrates. Computational inference of specific activities is performed with an easily used Matlab program, which is provided herein. Thus, we describe PrAMA as a combined experimental and mathematical approach to determine real-time metalloproteinase activities, which has previously been applied to live-cell cultures, cellular lysates, cell culture supernatants, and body fluids from patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Professor 1 17%
Professor > Associate Professor 1 17%
Student > Bachelor 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Unspecified 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Immunology and Microbiology 1 17%
Medicine and Dentistry 1 17%
Unknown 2 33%