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Fast profiling of protease specificity reveals similar substrate specificities for cathepsins K, L and S

Overview of attention for article published in PROTEOMICS, March 2015
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
Fast profiling of protease specificity reveals similar substrate specificities for cathepsins K, L and S
Published in
PROTEOMICS, March 2015
DOI 10.1002/pmic.201400460
Pubmed ID
Authors

Matej Vizovišek, Robert Vidmar, Emmy Van Quickelberghe, Francis Impens, Uroš Andjelković, Barbara Sobotič, Veronika Stoka, Kris Gevaert, Boris Turk, Marko Fonović

Abstract

Proteases are important effectors of numerous physiological and pathological processes. Reliable determination of a protease's specificity is crucial to understand protease function and to develop activity-based probes and inhibitors. During the last decade, various proteomic approaches for profiling protease substrate specificities were reported. Although most of these approaches can identify up to thousands of substrate cleavage events in a single experiment, they are often time consuming and methodologically challenging as some of these approaches require rather complex sample preparation procedures. For such reasons their application is often limited to those labs that initially introduced them. Here we report on a fast and simple approach for proteomic profiling of protease specificities (Fast Profiling of Protease Specificity - FPPS), which can be applied to complex protein mixtures. FPPS is based on trideutero-acetylation of novel N-termini generated by the action of proteases and subsequent peptide fractionation on StageTips containing ion-exchange and reverse phase chromatographic resins. FPPS can be performed in two days and does not require extensive fractionation steps. Using this approach, we have determined the specificity profiles of the cysteine cathepsins K, L and S. We further validated our method by comparing the results with the specificity profiles obtained by the N-terminal COFRADIC method. This comparison pointed to almost identical substrate specificities for all three cathepsins and confirmed the reliability of the FPPS approach. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Student > Master 7 17%
Researcher 6 14%
Student > Bachelor 3 7%
Student > Doctoral Student 3 7%
Other 4 10%
Unknown 10 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 29%
Agricultural and Biological Sciences 8 19%
Chemistry 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Immunology and Microbiology 2 5%
Other 2 5%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 December 2019.
All research outputs
#8,149,536
of 25,864,668 outputs
Outputs from PROTEOMICS
#1,241
of 4,088 outputs
Outputs of similar age
#87,156
of 275,113 outputs
Outputs of similar age from PROTEOMICS
#25
of 115 outputs
Altmetric has tracked 25,864,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,088 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 68% 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 275,113 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.