Pep2Graph: A standalone tool to analyse proteolytic cleavages by proteases from gel-based mass spectrometry data.
PROTOMAP
peptides
peptograph
proteases
Journal
Proteomics
ISSN: 1615-9861
Titre abrégé: Proteomics
Pays: Germany
ID NLM: 101092707
Informations de publication
Date de publication:
11 2022
11 2022
Historique:
revised:
14
07
2022
received:
11
04
2022
accepted:
28
07
2022
pubmed:
5
8
2022
medline:
25
11
2022
entrez:
4
8
2022
Statut:
ppublish
Résumé
Proteases are enzymes that regulate substrates via proteolytic activation and coordinate essential cellular functions including DNA replication, DNA transcription, cell proliferation, differentiation, migration and apoptosis. However, techniques to identify proteolytic events in a high-throughput manner is limited. PROtein TOpography and Migration Analysis Platform (PROTOMAP) is a technique that relies on mass spectrometry-based proteomics to globally identify the shifts in the in-gel migration of proteins and their corresponding fragments that are obtained by proteolysis. However, user-friendly software tool to analyse the proteomic data to identify proteolytic events is needed. Here, we report Pep2Graph, a user-friendly standalone tool that integrates peptide sequence information from in-gel proteomics and presents the data as two-dimensional peptographs with in-gel migration, sequence coverage and MS/MS spectra counts. Pep2Graph (http://www.mathivananlab.org/Pep2Graph) allows users to utilize in-gel proteomics data to study proteolytic events that may play a significant role in normal physiology and pathology.
Identifiants
pubmed: 35924633
doi: 10.1002/pmic.202200147
doi:
Substances chimiques
Peptide Hydrolases
EC 3.4.-
Proteins
0
Endopeptidases
EC 3.4.-
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2200147Informations de copyright
© 2022 The Authors. Proteomics published by Wiley-VCH GmbH.
Références
Duffy, M. J. (1987). Do proteases play a role in cancer invasion and metastasis? European Journal of Cancer & Clinical Oncology, 23(5), 583-589. https://doi.org/10.1016/0277-5379(87)90326-9
Lyapina, I., Ivanov, V., & Fesenko, I. (2021). Peptidome: Chaos or inevitability. International Journal of Molecular Sciences, 13128(23), 13128. https://doi.org/10.3390/ijms222313128
Martianez-Vendrell, X., & Kikkert, M. (2021). Proteomics approaches for the identification of protease substrates during virus infection. Advances in Virus Research, 109, 135-161. https://doi.org/10.1016/bs.aivir.2021.03.003
Rogers, L. D., & Overall, C. M. (2013). Proteolytic post-translational modification of proteins: proteomic tools and methodology. Molecular & Cellular Proteomics, 12(12), 3532-3542. https://doi.org/10.1074/mcp.M113.031310
Canbay, V., & Auf Dem Keller, U. (2021). New strategies to identify protease substrates. Current Opinion in Chemical Biology, 60, 89-96. https://doi.org/10.1016/j.cbpa.2020.09.009
López-Otín, C., & Bond, J. S. (2008). Proteases: multifunctional enzymes in life and disease. Journal of Biological Chemistry, 283(45), 30433-30437. https://doi.org/10.1074/jbc.R800035200
Liz, M. A., & Sousa, M. M. (2005). Deciphering cryptic proteases. Cellular and Molecular Life Sciences, 62(9), 989-1002. https://doi.org/10.1007/s00018-005-4544-2
Turk, B. (2006). Targeting proteases: successes, failures and future prospects. Nature Reviews Drug Discovery, 5(9), 785-799. https://doi.org/10.1038/nrd2092
Klingler, D., & Hardt, M. (2012). Profiling protease activities by dynamic proteomics workflows. Proteomics, 12(4-5), 587-596. https://doi.org/10.1002/pmic.201100399
Koblinski, J. E., Ahram, M., & Sloane, B. F. (2000). Unraveling the role of proteases in cancer. Clinica Chimica Acta, 291(2), 113-135. https://doi.org/10.1016/s0009-8981(99)00224-7
Srinivasan, S., Kryza, T., Batra, J., & Clements, J. (2022). Remodelling of the tumour microenvironment by the kallikrein-related peptidases. Nature Reviews Cancer, 22(4), 223-238. https://doi.org/10.1038/s41568-021-00436-z
Dix, M. M., Simon, G. M., & Cravatt, B. F. (2008). Global mapping of the topography and magnitude of proteolytic events in apoptosis. Cell, 134(4), 679-691. https://doi.org/10.1016/j.cell.2008.06.038
Simon, G. M., Dix, M. M., & Cravatt, B. F. (2009). Comparative assessment of large-scale proteomic studies of apoptotic proteolysis. ACS Chemical Biology, 4(6), 401-408. https://doi.org/10.1021/cb900082q
Fuhrman-Luck, R. A., Silva, L. M., Hastie, M. L., Gorman, J. J., & Clements, J. A. (2017). Determining protease substrates within a complex protein background using the PROtein TOpography and Migration Analysis Platform (PROTOMAP). Methods in Molecular Biology, 1574, 145-170. https://doi.org/10.1007/978-1-4939-6850-3_11
Niessen, S., Hoover, H., & Gale, A. J. (2011). Proteomic analysis of the coagulation reaction in plasma and whole blood using PROTOMAP. Proteomics, 11(12), 2377-2388. https://doi.org/10.1002/pmic.201000674
Hunter, J. D. (2007). Matplotlib: A 2D graphics environment. Computing in Science & Engineering, 9(3), 90-95. http://doi.org/10.1109/MCSE.2007.55