Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Streptavidin-Modified Iron Oxide Hybrid Nanozymes for Magnetic Enrichment and Bioelectrocatalytic Sensing of Circulating Tumor RNA

Version 1 : Received: 11 October 2022 / Approved: 21 October 2022 / Online: 21 October 2022 (09:35:59 CEST)
Version 2 : Received: 24 October 2022 / Approved: 24 October 2022 / Online: 24 October 2022 (10:33:57 CEST)

A peer-reviewed article of this Preprint also exists.

Koo, K.M. Multifunctional Hybrid Nanozymes for Magnetic Enrichment and Bioelectrocatalytic Sensing of Circulating Tumor RNA during Minimal Residual Disease Monitoring. Catalysts 2023, 13, 178. Koo, K.M. Multifunctional Hybrid Nanozymes for Magnetic Enrichment and Bioelectrocatalytic Sensing of Circulating Tumor RNA during Minimal Residual Disease Monitoring. Catalysts 2023, 13, 178.

Abstract

Iron oxide nanozymes are a form of nanomaterial with both superparamagnetic and enzyme-mimicking properties. Given the multifunctional nature of iron oxide nanozymes, it is attractive for creating iron oxide hybrid nanozymes through biomolecular modifications to imbue with auxillary properties. Such iron oxide hybrid nanozymes can be useful for rapid and cost-effective analysis of circulating tumor nucleic acids (ctNAs) in patient liquid biopsies during minimal residual disease (MRD) monitoring of cancer recurrence. Herein, the use of streptavidin-modified iron oxide hybrid nanozymes is reported for magnetic enrichment and bioelectrcatalytic sensing of three prostate cancer (PCa) ctRNA biomarkers with high detection specificity and sensitivity (10 copies) over an ultrabroad dynamic range (five orders of magnitude). Furthermore, the feasibility of ctRNA analysis for pre- and post-cancer treatment MRD monitoring is demonstrated using PCa urinary liquid biopsy samples.

Keywords

nanozymes; circulating tumor nucleci acid; liquid biopsy; magnetic enrichment; minimal residual disease; cell-free RNA

Subject

Chemistry and Materials Science, Biomaterials

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