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Protease substrate profiling using bacterial display of self-blocking affinity proteins and flow-cytometric sorting.

Lisa Sandersjöö1, Andreas Jonsson1, John Löfblom1

  • 1Division of Protein Technology, School of Biotechnology, KTH - Royal Institute of Technology, AlbaNova University Center, Stockholm, Sweden.

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|October 27, 2016
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Summary

This study introduces a novel bacterial display method for protease substrate profiling. The new technique efficiently identifies protease substrates and characterizes their cleavage kinetics, advancing biotechnological and biomedical research.

Keywords:
Flow cytometryMatrix MetalloproteaseProtease substrate profilingScreening methodTobacco Etch Virus protease

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Biotechnology

Background:

  • Proteases are crucial enzymes in biological processes, essential for biotechnological and biomedical applications.
  • Understanding protease substrate specificity is key to their effective utilization and for developing targeted therapies.
  • Current methods for protease substrate profiling can be limited in scope and efficiency.

Purpose of the Study:

  • To develop and validate a novel bacterial display-based method for efficient protease substrate profiling.
  • To characterize the substrate preference of matrix metalloprotease-1 (MMP-1) using the new method.
  • To evaluate the kinetic parameters (kcat/KM) of identified protease substrates.

Main Methods:

  • Substrates were displayed on Staphylococcus carnosus using anti-idiotypic affinity domains, with one domain acting as a reporter tag and the other as a blocking domain.
  • Proteolysis releases the blocking domain, allowing reporter binding, quantified via flow cytometry.
  • The method was validated using tobacco etch virus protease (TEVp) and then applied to determine MMP-1 substrate preferences from large peptide libraries.

Main Results:

  • The novel method successfully identified protease substrates, including those for MMP-1.
  • Enriched substrate peptides contained the known motif (PXXXHy).
  • On-cell kinetic analysis revealed that identified substrates were hydrolyzed 6-8 fold more efficiently than previously reported substrates.

Conclusions:

  • The developed bacterial display method is an effective tool for protease substrate profiling.
  • This technique enables efficient identification and kinetic characterization of protease substrates.
  • The method holds significant potential for advancing protease research in biotechnology and medicine.