Using High‐Throughput Screening to Identify Crosslinking Peptides That Control Cell‐Mediated Matrix Degradation

Cells modify the extracellular matrix by expressing proteases that degrade matrix proteins, enabling cell migration within tissues. This process is mimicked in hydrogels through protease-degradable peptide crosslinks. However, cleaving hydrogel crosslinks reduces local matrix mechanical properties, and most crosslinking peptides, including the widely used GPQGIWGQ "PanMMP" sequence, often lead to bulk hydrogel degradation. Membrane-type proteases are localized to the cell surface, have important roles in cell migration, and are active in the pericellular region. To identify peptides primarily cleaved by membrane-type proteases, an approach is developed that couples proteomic identification of candidate peptides with mass spectrometry-based functional assays to quantify degradation. The target sequence is then optimized using a split-and-pool synthesis to generate over 300 peptide variants to improve degradation behavior. The optimized peptide, KLVADLMASAE, shows reduced degradation by soluble proteases, while enabling endothelial and stem cell spreading and viability comparable to PanMMP hydrogels. KLVADLMASAE-crosslinked hydrogels have reduced crosslinker degradation, are stiffer during culture, and exhibit less macroscopic degradation after 14 days of culture than PanMMP gels. The performance of KLVADLMASAE-crosslinked gels is significantly improved from the initial peptide target, validating this functional high-throughput approach for identifying peptides that control matrix degradation.

Authors

Institutions

Publication Details

Journal
Advanced Healthcare Materials
Published
2025-08-25
DOI
https://doi.org/10.1002/adhm.202501932
Citations
3
Primary Topic
RNA Interference and Gene Delivery
Type
article
Field-Weighted Citation Impact
2.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using High‐Throughput Screening to Identify Crosslinking Peptides That Control Cell‐Mediated Matrix Degradation

E. Thomas Pashuck, Yingjie Wu, Samuel J. Rozans, Abolfazl Salehi Moghaddam
3 citations
Advanced Healthcare Materials
RNA Interference and Gene Delivery
2.42
article

Using High‐Throughput Screening to Identify Crosslinking Peptides That Control Cell‐Mediated Matrix Degradation

E. Thomas Pashuck, Yingjie Wu, Samuel J. Rozans, Abolfazl Salehi Moghaddam
article en
3 citations

Abstract

Cells modify the extracellular matrix by expressing proteases that degrade matrix proteins, enabling cell migration within tissues. This process is mimicked in hydrogels through protease-degradable peptide crosslinks. However, cleaving hydrogel crosslinks reduces local matrix mechanical properties, and most crosslinking peptides, including the widely used GPQGIWGQ "PanMMP" sequence, often lead to bulk hydrogel degradation. Membrane-type proteases are localized to the cell surface, have important roles in cell migration, and are active in the pericellular region. To identify peptides primarily cleaved by membrane-type proteases, an approach is developed that couples proteomic identification of candidate peptides with mass spectrometry-based functional assays to quantify degradation. The target sequence is then optimized using a split-and-pool synthesis to generate over 300 peptide variants to improve degradation behavior. The optimized peptide, KLVADLMASAE, shows reduced degradation by soluble proteases, while enabling endothelial and stem cell spreading and viability comparable to PanMMP hydrogels. KLVADLMASAE-crosslinked hydrogels have reduced crosslinker degradation, are stiffer during culture, and exhibit less macroscopic degradation after 14 days of culture than PanMMP gels. The performance of KLVADLMASAE-crosslinked gels is significantly improved from the initial peptide target, validating this functional high-throughput approach for identifying peptides that control matrix degradation.

Advanced Healthcare MaterialsVol. 14(31)
Lehigh University (US)
National Science Foundation, National Institutes of Health
Openalex Percentile: Top 10%
RNA Interference and Gene Delivery
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.