2021
DOI: 10.1038/s41551-021-00752-7
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An integrated magneto-electrochemical device for the rapid profiling of tumour extracellular vesicles from blood plasma

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Cited by 111 publications
(95 citation statements)
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“…We next performed bulk assays for protein and mRNA targets. For protein measurements, we used the established integrated magneto-electrochemical exosome (iMEX) platform (see Methods for details) 28 - 30 . We biotinylated lipid vesicles with amine-reactive biotin and captured them on streptavidin-coated magnetic beads.…”
Section: Resultsmentioning
confidence: 99%
“…We next performed bulk assays for protein and mRNA targets. For protein measurements, we used the established integrated magneto-electrochemical exosome (iMEX) platform (see Methods for details) 28 - 30 . We biotinylated lipid vesicles with amine-reactive biotin and captured them on streptavidin-coated magnetic beads.…”
Section: Resultsmentioning
confidence: 99%
“… Thakur et al (2021) presented a localized surface plasmon resonance (LSPR) technique to detect tumor-derived EVs using designed TiN-NH-LSPR biosensor and demonstrated that the label-free LSPR technique can be used for glioblastoma monitoring. Park et al (2021) proposed a high-throughput electrochemical detection platform called HiMEX, which could distinguish colorectal cancer patients from healthy volunteers with high sensitivity and specificity.…”
Section: Tumor-derived Evs As Biomarkers In Cancer Diagnosis and Treatmentmentioning
confidence: 99%
“…Analyzing EVs can enable clinicians to detect and monitor tumors in real time, while minimizing complications from specimen collection. 1 3 Profiling EV proteins, in particular, has been shown to achieve high diagnostic accuracy by targeting tumor-specific antigens, 4 6 identify tumor origins or subtypes based on the EV-protein signature, 7 10 and distinguish between indolent and high-risk lesions. 11 New assay formats have been developed to facilitate such EV-protein detection, many of which demonstrated high analytical sensitivity and throughput (see Table S1 for a comparison of methods).…”
Section: Introductionmentioning
confidence: 99%