Related Experiment Video
Updated: Oct 17, 2025

Enrichment of Extracellular Matrix Proteins from Tissues and Digestion into Peptides for Mass Spectrometry Analysis
Published on: July 23, 2015
Differential MMP-14 Targeting by Lumican-Derived Peptides Unraveled by In Silico Approach.
Jonathan Dauvé1,2, Nicolas Belloy1,2, Romain Rivet2
1P3M, Multi-Scale Molecular Modeling Platform, Université de Reims Champagne Ardenne, 51097 Reims, France.
Lumican-derived peptides inhibit melanoma progression by interacting with MMP-14. Molecular modeling and cell assays show distinct binding sites and varying inhibitory effects, validating computational predictions.
Area of Science:
- Biochemistry
- Molecular Biology
- Cancer Research
Background:
- Lumican, a small leucine-rich proteoglycan (SLRP), inhibits tumor growth via MMP-14 interaction.
- Lumican-derived peptides like lumcorin and L9M show potential in inhibiting melanoma progression.
Purpose of the Study:
- To visualize and characterize interactions between lumican-derived peptides (lumcorin, L9M, L9Mc) and MMP-14 using molecular modeling.
- To validate in silico findings through in vitro and in vivo biological assays.
Main Methods:
- Molecular modeling to predict peptide-MMP-14 interactions.
- MMP-14 activity assays.
- Cell migration and proliferation assays using B16F1 and HT-144 melanoma cells.
- In vivo tumor growth assessment.
Main Results:
- Molecular modeling identified distinct interaction sites: L9Mc with MMP-14's MT-Loop, lumcorin with the catalytic site.
- L9Mc significantly inhibited B16F1 cell migration, proliferation, and tumor growth, but less effectively than lumcorin.
- Biological assays validated the in silico predictions regarding peptide-MMP-14 interactions and inhibitory effects.
Conclusions:
- The distinct interaction domains of lumican-derived peptides with MMP-14 explain their varied inhibitory efficacies.
- Computational and biological data confirm the anti-melanoma potential of lumican-derived peptides, particularly L9Mc.
More Related Videos
08:27Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology
Published on: March 24, 2015
13:01Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
Published on: June 3, 2022