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Engineering high-efficiency matriptase substrates using E. coli display for applications in prodrug activation
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Protein Technology.ORCID iD: 0000-0001-5365-9122
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Protein Engineering.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Protein Technology.ORCID iD: 0000-0002-9282-0174
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Protein Engineering. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Protein Technology.ORCID iD: 0000-0001-9423-0541
2025 (English)In: CELL REPORTS METHODS, ISSN 2667-2375, Vol. 5, no 6, article id 101077Article in journal (Refereed) Published
Abstract [en]

Proteases play a crucial role in biological functions such as tumor progression and tissue homeostasis. Recently, protease-activated prodrugs have gained attention for their potential to enhance selectivity in tumor-targeted therapies. In this study, we report the engineering of substrate sequences for matriptase, a protease overexpressed in tumors and previously explored for prodrug activation in vivo. A peptide library containing millions of potential substrates was displayed on Escherichia coli, and flow cytometric sorting was used to isolate improved substrates based on cleavage efficiency. Hits were ranked by flow cytometry, and the top substrates exhibited kcat /KM values over 40-fold higher than previously reported sequences. These substrates were further evaluated in an antibody-prodrug format, demonstrating exceptional activation. The matriptase substrates hold broad potential for applications such as cleavable linkers in next-generation antibody prodrugs. Furthermore, the developed bacterial display platform shows promise for discovering substrates of other proteases.

Place, publisher, year, edition, pages
Elsevier BV , 2025. Vol. 5, no 6, article id 101077
National Category
Molecular Biology
Identifiers
URN: urn:nbn:se:kth:diva-370252DOI: 10.1016/j.crmeth.2025.101077ISI: 001513093700005PubMedID: 40499550Scopus ID: 2-s2.0-105007709459OAI: oai:DiVA.org:kth-370252DiVA, id: diva2:2007888
Note

QC 20251021

Available from: 2025-10-21 Created: 2025-10-21 Last updated: 2025-10-21Bibliographically approved

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Mestre Borras, AnnaMehari, HannaStåhl, StefanLöfblom, John

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