Matches in SemOpenAlex for { <https://semopenalex.org/work/W2768382334> ?p ?o ?g. }
- W2768382334 abstract "ABSTRACT For several decades, flow cytometry has been a common approach to analyze cells and sort them to near-purity. It enables one to probe inner cellular molecules, surface receptors, or infected cells. However, the analysis of smaller entities such as viruses and exocytic vesicles has been more difficult but is becoming mainstream. This has in part been due to the development of new instrumentation with resolutions below that of conventional cytometers. It is also attributed to the several means employed to fluorescently label viruses, hence enabling them to stand out from similarly sized particles representing background noise. Thus far, more than a dozen different viruses ranging in size from 40 nm to giant viruses have been probed by this approach, which was recently dubbed “flow virometry.” These studies have collectively highlighted the breadth of the applications of this method, which, for example, has elucidated the maturation of dengue virus, served as quality control for vaccinia vaccines, and enabled the sorting of herpes simplex virus discrete viral particles. The present review focuses on the means employed to characterize and sort viruses by this powerful technology and on the emerging uses of flow virometry. It similarly addresses some of its current challenges and limitations." @default.
- W2768382334 created "2017-12-04" @default.
- W2768382334 creator A5043916800 @default.
- W2768382334 date "2018-02-01" @default.
- W2768382334 modified "2023-10-11" @default.
- W2768382334 title "Flow Virometry: a Powerful Tool To Functionally Characterize Viruses" @default.
- W2768382334 cites W1526877344 @default.
- W2768382334 cites W1562385120 @default.
- W2768382334 cites W1567194265 @default.
- W2768382334 cites W1582133589 @default.
- W2768382334 cites W1638971122 @default.
- W2768382334 cites W1644507360 @default.
- W2768382334 cites W1693284829 @default.
- W2768382334 cites W1880254070 @default.
- W2768382334 cites W1959180550 @default.
- W2768382334 cites W1965771397 @default.
- W2768382334 cites W1966277979 @default.
- W2768382334 cites W1971416919 @default.
- W2768382334 cites W1974646273 @default.
- W2768382334 cites W1975320047 @default.
- W2768382334 cites W1986321004 @default.
- W2768382334 cites W1995355944 @default.
- W2768382334 cites W1997122898 @default.
- W2768382334 cites W1998438741 @default.
- W2768382334 cites W1998699639 @default.
- W2768382334 cites W2002771588 @default.
- W2768382334 cites W2007093279 @default.
- W2768382334 cites W2024433296 @default.
- W2768382334 cites W2031742656 @default.
- W2768382334 cites W2033414088 @default.
- W2768382334 cites W2038254572 @default.
- W2768382334 cites W2041943305 @default.
- W2768382334 cites W2052537982 @default.
- W2768382334 cites W2054515639 @default.
- W2768382334 cites W2060575933 @default.
- W2768382334 cites W2062155172 @default.
- W2768382334 cites W2062183101 @default.
- W2768382334 cites W2064786652 @default.
- W2768382334 cites W2069009184 @default.
- W2768382334 cites W2070325805 @default.
- W2768382334 cites W2073734811 @default.
- W2768382334 cites W2075214367 @default.
- W2768382334 cites W2082444144 @default.
- W2768382334 cites W2090382705 @default.
- W2768382334 cites W2092887868 @default.
- W2768382334 cites W2093013992 @default.
- W2768382334 cites W2096963698 @default.
- W2768382334 cites W2102327977 @default.
- W2768382334 cites W2102820270 @default.
- W2768382334 cites W2113215810 @default.
- W2768382334 cites W2114032858 @default.
- W2768382334 cites W2116876826 @default.
- W2768382334 cites W2125087964 @default.
- W2768382334 cites W2133150766 @default.
- W2768382334 cites W2133963802 @default.
- W2768382334 cites W2139406636 @default.
- W2768382334 cites W2141673999 @default.
- W2768382334 cites W2145684695 @default.
- W2768382334 cites W2147378425 @default.
- W2768382334 cites W2151913784 @default.
- W2768382334 cites W2157281339 @default.
- W2768382334 cites W2167844952 @default.
- W2768382334 cites W2169367715 @default.
- W2768382334 cites W2177998542 @default.
- W2768382334 cites W2186795582 @default.
- W2768382334 cites W2220384258 @default.
- W2768382334 cites W2302582674 @default.
- W2768382334 cites W2314474816 @default.
- W2768382334 cites W2337438831 @default.
- W2768382334 cites W2346039638 @default.
- W2768382334 cites W2464086075 @default.
- W2768382334 cites W2517498503 @default.
- W2768382334 cites W2569180116 @default.
- W2768382334 cites W2582322900 @default.
- W2768382334 cites W2590817780 @default.
- W2768382334 cites W2594314141 @default.
- W2768382334 cites W2605905667 @default.
- W2768382334 cites W2609372546 @default.
- W2768382334 cites W2618433578 @default.
- W2768382334 cites W2701107559 @default.
- W2768382334 cites W3083094549 @default.
- W2768382334 cites W4240098044 @default.
- W2768382334 doi "https://doi.org/10.1128/jvi.01765-17" @default.
- W2768382334 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5774884" @default.
- W2768382334 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29167334" @default.
- W2768382334 hasPublicationYear "2018" @default.
- W2768382334 type Work @default.
- W2768382334 sameAs 2768382334 @default.
- W2768382334 citedByCount "61" @default.
- W2768382334 countsByYear W27683823342018 @default.
- W2768382334 countsByYear W27683823342019 @default.
- W2768382334 countsByYear W27683823342020 @default.
- W2768382334 countsByYear W27683823342021 @default.
- W2768382334 countsByYear W27683823342022 @default.
- W2768382334 countsByYear W27683823342023 @default.
- W2768382334 crossrefType "journal-article" @default.
- W2768382334 hasAuthorship W2768382334A5043916800 @default.
- W2768382334 hasBestOaLocation W27683823341 @default.
- W2768382334 hasConcept C159047783 @default.
- W2768382334 hasConcept C54355233 @default.