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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 14: Profiling of Protease Cleavage Sites by Proteome-Derived Peptide Libraries and Quantitative Proteomics
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Chapter title
Profiling of Protease Cleavage Sites by Proteome-Derived Peptide Libraries and Quantitative Proteomics
Chapter number 14
Book title
Protein Terminal Profiling
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6850-3_14
Pubmed ID
Book ISBNs
978-1-4939-6849-7, 978-1-4939-6850-3
Authors

Chia-yi Chen, Bettina Mayer, Oliver Schilling

Editors

Oliver Schilling

Abstract

Biochemical profiling of active site specificity is a crucial step to characterize proteases, which play key roles in health and disease. Here, we present a protocol using proteome-derived peptide libraries in combination with quantitative proteomics to simultaneously identify cleavage motifs N- and C-terminal to the scissile peptide bond. First, bacterial or eukaryotic cell lysate is used to generate peptide libraries. Without further chemical modification, peptide libraries are then split into control and treated (incubate with active protease) aliquots. Control and treated libraries are stable isotope-labeled, mixed, and analyzed by liquid chromatography-tandem mass spectrometry. Enriched, semi-specific peptides represent the cleavage products of the test protease and the entire peptide sequence that encompasses the scissile peptide bond is reconstructed bioinformatically. The method is fast, cost-effective, and suited for proteases with narrow or loose specificity.

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The data shown below were collected from the profile of 1 X user 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 42%
Student > Ph. D. Student 2 17%
Professor > Associate Professor 2 17%
Student > Postgraduate 1 8%
Unspecified 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 42%
Computer Science 2 17%
Unspecified 1 8%
Chemical Engineering 1 8%
Agricultural and Biological Sciences 1 8%
Other 1 8%
Unknown 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 March 2017.
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#20,411,380
of 22,961,203 outputs
Outputs from Methods in molecular biology
#9,919
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Outputs of similar age
#291,390
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Outputs of similar age from Methods in molecular biology
#242
of 309 outputs
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