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Quantitative profiling of protease specificity

Proteases are an important class of enzymes, whose activity is central to many physiologic and pathologic processes. Detailed knowledge of protease specificity is key to understanding their function. Although many methods have been developed to profile specificities of proteases, few have the divers...

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Autores principales: Ratnikov, Boris I., Cieplak, Piotr, Remacle, Albert G., Nguyen, Elise, Smith, Jeffrey W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932537/
https://www.ncbi.nlm.nih.gov/pubmed/33617527
http://dx.doi.org/10.1371/journal.pcbi.1008101
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author Ratnikov, Boris I.
Cieplak, Piotr
Remacle, Albert G.
Nguyen, Elise
Smith, Jeffrey W.
author_facet Ratnikov, Boris I.
Cieplak, Piotr
Remacle, Albert G.
Nguyen, Elise
Smith, Jeffrey W.
author_sort Ratnikov, Boris I.
collection PubMed
description Proteases are an important class of enzymes, whose activity is central to many physiologic and pathologic processes. Detailed knowledge of protease specificity is key to understanding their function. Although many methods have been developed to profile specificities of proteases, few have the diversity and quantitative grasp necessary to fully define specificity of a protease, both in terms of substrate numbers and their catalytic efficiencies. We have developed a concept of “selectome”; the set of substrate amino acid sequences that uniquely represent the specificity of a protease. We applied it to two closely related members of the Matrixin family–MMP-2 and MMP-9 by using substrate phage display coupled with Next Generation Sequencing and information theory-based data analysis. We have also derived a quantitative measure of substrate specificity, which accounts for both the number of substrates and their relative catalytic efficiencies. Using these advances greatly facilitates elucidation of substrate selectivity between closely related members of a protease family. The study also provides insight into the degree to which the catalytic cleft defines substrate recognition, thus providing basis for overcoming two of the major challenges in the field of proteolysis: 1) development of highly selective activity probes for studying proteases with overlapping specificities, and 2) distinguishing targeted proteolysis from bystander proteolytic events.
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spelling pubmed-79325372021-03-15 Quantitative profiling of protease specificity Ratnikov, Boris I. Cieplak, Piotr Remacle, Albert G. Nguyen, Elise Smith, Jeffrey W. PLoS Comput Biol Research Article Proteases are an important class of enzymes, whose activity is central to many physiologic and pathologic processes. Detailed knowledge of protease specificity is key to understanding their function. Although many methods have been developed to profile specificities of proteases, few have the diversity and quantitative grasp necessary to fully define specificity of a protease, both in terms of substrate numbers and their catalytic efficiencies. We have developed a concept of “selectome”; the set of substrate amino acid sequences that uniquely represent the specificity of a protease. We applied it to two closely related members of the Matrixin family–MMP-2 and MMP-9 by using substrate phage display coupled with Next Generation Sequencing and information theory-based data analysis. We have also derived a quantitative measure of substrate specificity, which accounts for both the number of substrates and their relative catalytic efficiencies. Using these advances greatly facilitates elucidation of substrate selectivity between closely related members of a protease family. The study also provides insight into the degree to which the catalytic cleft defines substrate recognition, thus providing basis for overcoming two of the major challenges in the field of proteolysis: 1) development of highly selective activity probes for studying proteases with overlapping specificities, and 2) distinguishing targeted proteolysis from bystander proteolytic events. Public Library of Science 2021-02-22 /pmc/articles/PMC7932537/ /pubmed/33617527 http://dx.doi.org/10.1371/journal.pcbi.1008101 Text en © 2021 Ratnikov et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ratnikov, Boris I.
Cieplak, Piotr
Remacle, Albert G.
Nguyen, Elise
Smith, Jeffrey W.
Quantitative profiling of protease specificity
title Quantitative profiling of protease specificity
title_full Quantitative profiling of protease specificity
title_fullStr Quantitative profiling of protease specificity
title_full_unstemmed Quantitative profiling of protease specificity
title_short Quantitative profiling of protease specificity
title_sort quantitative profiling of protease specificity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932537/
https://www.ncbi.nlm.nih.gov/pubmed/33617527
http://dx.doi.org/10.1371/journal.pcbi.1008101
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