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Updated: Oct 6, 2025

Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging
Published on: December 8, 2023
Self-Assembling Peptide Artificial Enzyme as an Efficient Detection Prober and Inhibitor for Cancer Cells
Meiling Lian1, Shuo Zhang1, Jun Chen1
1State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
Abstract:
A new hybrid nanoparticle (NP; fluorenylmethoxycarbonyl-arginine-glycine-aspartate and hemin, Fmoc-RGD/hemin NP) was developed for the simultaneous detection and inhibition of breast cancer cells. Hemin can regulate the reactive oxygen species (ROS), while Fmoc-RGD acts as a scaffold for hemin nanocrystallization. Fmoc groups interact with the porphyrin groups of hemin through hydrophobic and π-π interactions to form a hydrophobic core of the NPs. The hydrophilic RGD chains surround the core to maintain the stability of the nanoparticles in an aqueous medium. The RGD groups of Fmoc-RGD are also selective for tumor cells. This interaction can be exploited to enhance the selectivity of tumor detection. Based on enhanced peroxidase activity, Fmoc-RGD/hemin NPs were developed as signal transducers in a facile and fast point-of-care cancer diagnosis platform. This platform is sensitive to breast cancer cells and hydrogen peroxide (H2O2), a biomarker for breast cancer. In addition, these Fmoc-RGD/hemin NPs can be used as nanoscavengers for ROS and for regulating the redox status of cancer cells. They also exhibit a targeted inhibitory effect on the epithelial-mesenchymal transition (EMT). The peptide-tuned self-assembly of Fmoc-RGD/hemin NPs as functional artificial enzymes boasts simple preparation, biofriendliness, and the versatility required for on-demand therapeutics and diagnostics for metastatic cancer cells. These NPs can therefore be used as effective tools for potential applications in medicine and biotechnology.

