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N-Terminomics Strategies for Protease Substrates Profiling
Proteases play a central role in various biochemical pathways catalyzing and regulating key biological events. Proteases catalyze an irreversible post-translational modification called proteolysis by hydrolyzing peptide bonds in proteins. Given the destructive potential of proteolysis, protease acti...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348681/ https://www.ncbi.nlm.nih.gov/pubmed/34361849 http://dx.doi.org/10.3390/molecules26154699 |
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author | Mintoo, Mubashir Chakravarty, Amritangshu Tilvawala, Ronak |
author_facet | Mintoo, Mubashir Chakravarty, Amritangshu Tilvawala, Ronak |
author_sort | Mintoo, Mubashir |
collection | PubMed |
description | Proteases play a central role in various biochemical pathways catalyzing and regulating key biological events. Proteases catalyze an irreversible post-translational modification called proteolysis by hydrolyzing peptide bonds in proteins. Given the destructive potential of proteolysis, protease activity is tightly regulated. Dysregulation of protease activity has been reported in numerous disease conditions, including cancers, neurodegenerative diseases, inflammatory conditions, cardiovascular diseases, and viral infections. The proteolytic profile of a cell, tissue, or organ is governed by protease activation, activity, and substrate specificity. Thus, identifying protease substrates and proteolytic events under physiological conditions can provide crucial information about how the change in protease regulation can alter the cellular proteolytic landscape. In recent years, mass spectrometry-based techniques called N-terminomics have become instrumental in identifying protease substrates from complex biological mixtures. N-terminomics employs the labeling and enrichment of native and neo-N-termini peptides, generated upon proteolysis followed by mass spectrometry analysis allowing protease substrate profiling directly from biological samples. In this review, we provide a brief overview of N-terminomics techniques, focusing on their strengths, weaknesses, limitations, and providing specific examples where they were successfully employed to identify protease substrates in vivo and under physiological conditions. In addition, we explore the current trends in the protease field and the potential for future developments. |
format | Online Article Text |
id | pubmed-8348681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83486812021-08-08 N-Terminomics Strategies for Protease Substrates Profiling Mintoo, Mubashir Chakravarty, Amritangshu Tilvawala, Ronak Molecules Review Proteases play a central role in various biochemical pathways catalyzing and regulating key biological events. Proteases catalyze an irreversible post-translational modification called proteolysis by hydrolyzing peptide bonds in proteins. Given the destructive potential of proteolysis, protease activity is tightly regulated. Dysregulation of protease activity has been reported in numerous disease conditions, including cancers, neurodegenerative diseases, inflammatory conditions, cardiovascular diseases, and viral infections. The proteolytic profile of a cell, tissue, or organ is governed by protease activation, activity, and substrate specificity. Thus, identifying protease substrates and proteolytic events under physiological conditions can provide crucial information about how the change in protease regulation can alter the cellular proteolytic landscape. In recent years, mass spectrometry-based techniques called N-terminomics have become instrumental in identifying protease substrates from complex biological mixtures. N-terminomics employs the labeling and enrichment of native and neo-N-termini peptides, generated upon proteolysis followed by mass spectrometry analysis allowing protease substrate profiling directly from biological samples. In this review, we provide a brief overview of N-terminomics techniques, focusing on their strengths, weaknesses, limitations, and providing specific examples where they were successfully employed to identify protease substrates in vivo and under physiological conditions. In addition, we explore the current trends in the protease field and the potential for future developments. MDPI 2021-08-03 /pmc/articles/PMC8348681/ /pubmed/34361849 http://dx.doi.org/10.3390/molecules26154699 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Mintoo, Mubashir Chakravarty, Amritangshu Tilvawala, Ronak N-Terminomics Strategies for Protease Substrates Profiling |
title | N-Terminomics Strategies for Protease Substrates Profiling |
title_full | N-Terminomics Strategies for Protease Substrates Profiling |
title_fullStr | N-Terminomics Strategies for Protease Substrates Profiling |
title_full_unstemmed | N-Terminomics Strategies for Protease Substrates Profiling |
title_short | N-Terminomics Strategies for Protease Substrates Profiling |
title_sort | n-terminomics strategies for protease substrates profiling |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348681/ https://www.ncbi.nlm.nih.gov/pubmed/34361849 http://dx.doi.org/10.3390/molecules26154699 |
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