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Protein Terminal Profiling

Overview of attention for book
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 5: Protease Substrate Profiling by N-Terminal COFRADIC
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Chapter title
Protease Substrate Profiling by N-Terminal COFRADIC
Chapter number 5
Book title
Protein Terminal Profiling
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6850-3_5
Pubmed ID
Book ISBNs
978-1-4939-6849-7, 978-1-4939-6850-3
Authors

Staes, An, Van Damme, Petra, Timmerman, Evy, Ruttens, Bart, Stes, Elisabeth, Gevaert, Kris, Impens, Francis, An Staes, Petra Van Damme, Evy Timmerman, Bart Ruttens, Elisabeth Stes, Kris Gevaert, Francis Impens

Editors

Oliver Schilling

Abstract

Detection of (neo-)N-terminal peptides is essential for identifying protease cleavage sites . We here present an update of a well-established and efficient selection method for enriching N-terminal peptides out of peptide mixtures: N-terminal COFRADIC (COmbined FRActional DIagonal Chromatography). This method is based on the old concept of diagonal chromatography, which involves a peptide modification step in between otherwise identical chromatographic separations, with this modification step finally allowing for the isolation of N-terminal peptides by longer retention of non-N-terminal peptides on the resin. N-terminal COFRADIC has been successfully applied in many protease-centric studies, as well as for studies on protein alpha-N-acetylation and on characterizing alternative translation initiation events.

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X Demographics

The data shown below were collected from the profiles of 3 X users 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 20%
Student > Ph. D. Student 2 13%
Professor > Associate Professor 2 13%
Professor 2 13%
Other 1 7%
Other 4 27%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 47%
Agricultural and Biological Sciences 2 13%
Medicine and Dentistry 2 13%
Unspecified 1 7%
Computer Science 1 7%
Other 1 7%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 March 2017.
All research outputs
#13,470,448
of 22,959,818 outputs
Outputs from Methods in molecular biology
#3,605
of 13,136 outputs
Outputs of similar age
#171,317
of 334,650 outputs
Outputs of similar age from Methods in molecular biology
#60
of 309 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,136 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.