Matches in SemOpenAlex for { <https://semopenalex.org/work/W3207992020> ?p ?o ?g. }
- W3207992020 endingPage "18205" @default.
- W3207992020 startingPage "18192" @default.
- W3207992020 abstract "Extracellular vesicles (EVs) secreted by cancer cells provide an important insight into cancer biology and could be leveraged to enhance diagnostics and disease monitoring. This paper details a high-throughput label-free extracellular vesicle analysis approach to study fundamental EV biology, toward diagnosis and monitoring of cancer in a minimally invasive manner and with the elimination of interpreter bias. We present the next generation of our single particle automated Raman trapping analysis─SPARTA─system through the development of a dedicated standalone device optimized for single particle analysis of EVs. Our visualization approach, dubbed dimensional reduction analysis (DRA), presents a convenient and comprehensive method of comparing multiple EV spectra. We demonstrate that the dedicated SPARTA system can differentiate between cancer and noncancer EVs with a high degree of sensitivity and specificity (>95% for both). We further show that the predictive ability of our approach is consistent across multiple EV isolations from the same cell types. Detailed modeling reveals accurate classification between EVs derived from various closely related breast cancer subtypes, further supporting the utility of our SPARTA-based approach for detailed EV profiling." @default.
- W3207992020 created "2021-11-08" @default.
- W3207992020 creator A5004985880 @default.
- W3207992020 creator A5005418951 @default.
- W3207992020 creator A5009326885 @default.
- W3207992020 creator A5044430674 @default.
- W3207992020 creator A5054435650 @default.
- W3207992020 creator A5055432666 @default.
- W3207992020 creator A5064931519 @default.
- W3207992020 date "2021-11-04" @default.
- W3207992020 modified "2023-10-15" @default.
- W3207992020 title "Single Particle Automated Raman Trapping Analysis of Breast Cancer Cell-Derived Extracellular Vesicles as Cancer Biomarkers" @default.
- W3207992020 cites W1601681275 @default.
- W3207992020 cites W1950118853 @default.
- W3207992020 cites W1999804892 @default.
- W3207992020 cites W2000431010 @default.
- W3207992020 cites W2021366898 @default.
- W3207992020 cites W2031843365 @default.
- W3207992020 cites W2039759537 @default.
- W3207992020 cites W2039897852 @default.
- W3207992020 cites W2042468850 @default.
- W3207992020 cites W2049753441 @default.
- W3207992020 cites W2054637102 @default.
- W3207992020 cites W2058865073 @default.
- W3207992020 cites W2061896947 @default.
- W3207992020 cites W2074309354 @default.
- W3207992020 cites W2078868395 @default.
- W3207992020 cites W2092055953 @default.
- W3207992020 cites W2102864709 @default.
- W3207992020 cites W2117854023 @default.
- W3207992020 cites W2121935084 @default.
- W3207992020 cites W2133315981 @default.
- W3207992020 cites W2159114297 @default.
- W3207992020 cites W2164457061 @default.
- W3207992020 cites W2169491358 @default.
- W3207992020 cites W2195965780 @default.
- W3207992020 cites W2270829764 @default.
- W3207992020 cites W2369250039 @default.
- W3207992020 cites W2396451115 @default.
- W3207992020 cites W2397102321 @default.
- W3207992020 cites W2547525331 @default.
- W3207992020 cites W2557392395 @default.
- W3207992020 cites W2559936920 @default.
- W3207992020 cites W2569453488 @default.
- W3207992020 cites W2593435710 @default.
- W3207992020 cites W2597876129 @default.
- W3207992020 cites W2620308334 @default.
- W3207992020 cites W2733660131 @default.
- W3207992020 cites W2747498674 @default.
- W3207992020 cites W2761515549 @default.
- W3207992020 cites W2797778915 @default.
- W3207992020 cites W2810519364 @default.
- W3207992020 cites W2889338261 @default.
- W3207992020 cites W2890823077 @default.
- W3207992020 cites W2897952682 @default.
- W3207992020 cites W2898900405 @default.
- W3207992020 cites W2904840918 @default.
- W3207992020 cites W2910561334 @default.
- W3207992020 cites W2912584983 @default.
- W3207992020 cites W2941413126 @default.
- W3207992020 cites W2942165081 @default.
- W3207992020 cites W2964318686 @default.
- W3207992020 cites W2997291853 @default.
- W3207992020 cites W3004983165 @default.
- W3207992020 cites W3007899115 @default.
- W3207992020 cites W3009151498 @default.
- W3207992020 cites W3014500774 @default.
- W3207992020 cites W3015428699 @default.
- W3207992020 cites W3080320570 @default.
- W3207992020 cites W3158186962 @default.
- W3207992020 cites W4238768614 @default.
- W3207992020 doi "https://doi.org/10.1021/acsnano.1c07075" @default.
- W3207992020 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34735133" @default.
- W3207992020 hasPublicationYear "2021" @default.
- W3207992020 type Work @default.
- W3207992020 sameAs 3207992020 @default.
- W3207992020 citedByCount "41" @default.
- W3207992020 countsByYear W32079920202022 @default.
- W3207992020 countsByYear W32079920202023 @default.
- W3207992020 crossrefType "journal-article" @default.
- W3207992020 hasAuthorship W3207992020A5004985880 @default.
- W3207992020 hasAuthorship W3207992020A5005418951 @default.
- W3207992020 hasAuthorship W3207992020A5009326885 @default.
- W3207992020 hasAuthorship W3207992020A5044430674 @default.
- W3207992020 hasAuthorship W3207992020A5054435650 @default.
- W3207992020 hasAuthorship W3207992020A5055432666 @default.
- W3207992020 hasAuthorship W3207992020A5064931519 @default.
- W3207992020 hasBestOaLocation W32079920202 @default.
- W3207992020 hasConcept C104317684 @default.
- W3207992020 hasConcept C120665830 @default.
- W3207992020 hasConcept C121332964 @default.
- W3207992020 hasConcept C121608353 @default.
- W3207992020 hasConcept C145059251 @default.
- W3207992020 hasConcept C171250308 @default.
- W3207992020 hasConcept C186060115 @default.
- W3207992020 hasConcept C192562407 @default.
- W3207992020 hasConcept C20518536 @default.
- W3207992020 hasConcept C2908689518 @default.