Related Experiment Video
Updated: May 17, 2025

09:47
The Determination of Protease Specificity in Mouse Tissue Extracts by MALDI-TOF Mass Spectrometry: Manipulating PH to Cause Specificity Changes
Published on: May 25, 2018
6.8K
Macrocyclic phage display for identification of selective protease substrates.
Franco F Faucher1,2, Scott Lovell2,3, Matilde Bertolini4
1Department of Chemistry, Stanford University, Stanford, CA 94305, United States.
Biorxiv : the Preprint Server for Biology
|March 31, 2025
Summary
This study introduces a novel phage display method to discover protease substrates using cyclic peptides. This approach rapidly identifies highly selective substrates for applications in biology and medicine.
Area of Science:
- Biochemistry
- Molecular Biology
- Chemical Biology
Background:
- Traditional protease substrate identification relies on limited linear peptides.
- Phage display offers a powerful platform for screening diverse molecular libraries.
Purpose of the Study:
- To develop a novel phage display method for identifying highly selective protease substrates.
- To overcome limitations of traditional methods using chemically modified cyclic peptides.
Main Methods:
- Utilized phage display to screen chemically modified cyclic peptide libraries.
- Incorporated reactive linkers, affinity tags, and fluorescent reporters for selection and quantification.
- Demonstrated utility with Fibroblast Activation Protein alpha (FAPα) and dipeptidyl peptidase-4 (DPP4).
Main Results:
- Identified highly selective substrates for FAPα and DPP4.
- Demonstrated the efficiency of the turn-on fluorescent reporter for cleavage quantification.
- Validated substrate identification and optimization using recombinant enzymes and cells.
Conclusions:
- The developed phage display strategy provides a rapid, unbiased platform for discovering non-natural protease substrates.
- Identified substrates show potential for basic research and fluorescence image-guided surgery (FIGS).
- This method overcomes key limitations of existing protease substrate identification techniques.

