Lipid-Functionalized Single-Walled Carbon Nanotubes as Probes for Screening Cell Wall Disruptors
Source abstract
Abstract
Membrane-active molecules are of great importance to drug delivery and antimicrobials applications. While the ability to prototype new membrane-active molecules has improved greatly with the advent of automated chemistries and rapid biomolecule expression techniques, testing methods are still limited by throughput, cost, and modularity. Existing methods suffer from feasibility constraints of working with pathogenic living cells and by intrinsic limitations of model systems. Herein, we demonstrate an abiotic sensor that uses semiconducting single-walled carbon nanotubes (SWCNTs) as near-infrared fluorescent transducers to report membrane interactions. This sensor is composed of SWCNTs aqueously suspended in lipid, creating a cylindrical, bilayer corona; these SWCNT probes are very sensitive to solvent access (changes in permittivity) and thus report morphological changes to the lipid corona by modulation of fluorescent signals, where binding and disruption are reported as brightening and attenuation, respectively. This mechanism is first demonstrated with chemical and physical membrane-disruptive agents, including ethanol and sodium dodecyl sulfate, and application of electrical pulses. Known cell-penetrating and antimicrobial peptides are then used to demonstrate how the dynamic response of these sensors can be deconvoluted to evaluate different parallel mechanisms of interaction. Last, SWCNTs functionalized in several different bacterial lipopolysaccharides ( Pseudomonas aeruginosa, Klebsiella pneumoniae, and Escherichia coli ) are used to evaluate a panel of known membrane-disrupting antimicrobials to demonstrate that drug selectivity can be assessed by suspension of SWCNTs with different membrane materials.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Antimicrobial Peptides and Activities · Lipid Membrane Structure and Behavior · Advanced biosensing and bioanalysis techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical and Biological Engineering, Iowa State University, Ames, Iowa 50011, United States
Funding
National Institute of Food and Agriculture · National Institute of General Medical Sciences
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