Cell-membrane coated iron oxide nanoparticles for isolation and specific identification of drug leads from complex matrices

The lack of suitable tools for the identification of potential drug leads from complex matrices is a bottleneck in drug discovery. Here, we report a novel method to screen complex matrices for new drug leads targeting transmembrane receptors. Using α3β4 nicotinic receptors as a model system, we succ...

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Bibliographic Details
Published in:Nanoscale 2019-03, Vol.11 (13), p.6352-6359
Main Authors: Sherwood, Jennifer, Sowell, Josiah, Beyer, Nicholas, Irvin, Jessica, Stephen, Cayman, Antone, Angelo J, Bao, Yuping, Ciesla, Lukasz M
Format: Article
Language:English
Subjects:
Binding
Cell membranes
Fishing
High performance liquid chromatography
Identification
Ionization
Ions
Iron oxides
Ligands
Mass spectrometry
Nanoparticles
Proteins
Receptors
Transmission electron microscopy
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Summary:The lack of suitable tools for the identification of potential drug leads from complex matrices is a bottleneck in drug discovery. Here, we report a novel method to screen complex matrices for new drug leads targeting transmembrane receptors. Using α3β4 nicotinic receptors as a model system, we successfully demonstrated the ability of this new tool for the specific identification and effective extraction of binding compounds from complex mixtures. The formation of cell-membrane coated nanoparticles was confirmed by transmission electron microscopy. In particular, we have developed a direct tool to evaluate the presence of functional α3β4 nicotinic receptors on the cell membrane. The specific ligand binding to α3β4 nicotinic receptors was examined through ligand fishing experiments and confirmed by high-performance liquid chromatography coupled with diode-array detection and electrospray ionization mass spectrometry. This tool has a great potential to transform the drug discovery process focusing on identification of compounds targeting transmembrane proteins, as more than 50% of all modern pharmaceuticals use membrane proteins as prime targets.
ISSN:2040-3364
2040-3372
DOI:10.1039/c9nr01292c