About: More than efficacy revealed by single-cell analysis of antiviral therapeutics

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	More than efficacy revealed by single-cell analysis of antiviral therapeutics
Creator	Woodman, Andrew Liu, Wu Mao, Zhangming Arnold, Jamie Cameron, Craig Wilke, Claus Caglar, Mehmet
Source	PMC
abstract	Because many aspects of viral infection dynamics and inhibition are governed by stochastic processes, single-cell analysis should provide more information than approaches using population averaging. We have developed a microfluidic device composed of ~6000 wells, with each well containing a microstructure to capture single, infected cells replicating an enterovirus expressing a fluorescent reporter protein. We have used this system to characterize enterovirus inhibitors with distinct mechanisms of action. Single-cell analysis reveals that each class of inhibitor interferes with the viral infection cycle in a manner that can be distinguished by principal component analysis. Single-cell analysis of antiviral candidates not only reveals efficacy but also facilitates clustering of drugs with the same mechanism of action and provides some indication of the ease with which resistance will develop.
has issue date	2019-10-30(xsd:dateTime)
bibo:doi	10.1126/sciadv.aax4761
bibo:pmid	31692968
has license	cc-by-nc
sha1sum (hex)	ff3db609dbf2669d8d528279ef32280c2646ba85
schema:url	https://doi.org/10.1126/sciadv.aax4761
resource representing a document's title	More than efficacy revealed by single-cell analysis of antiviral therapeutics
has PubMed Central identifier	PMC6821460
has PubMed identifier	31692968
schema:publication	Sci Adv
resource representing a document's body	covid:ff3db609dbf2669d8d528279ef32280c2646ba85#body_text
is schema:about of	named entity 'COMPOSED OF' named entity 'SINGLE-CELL ANALYSIS' named entity 'INFECTED' named entity 'APPROACHES' named entity 'EFFICACY' named entity 'SYSTEM' named entity 'BUT' named entity 'INHIBITOR' named entity 'ENTEROVIRUS' named entity 'MECHANISMS' named entity 'INHIBITION' named entity 'VIRAL INFECTION' named entity 'ACTION' named entity 'INHIBITORS' named entity 'microstructure' named entity 'inhibition' named entity 'SINGLE-CELL ANALYSIS' named entity 'THERAPEUTICS' named entity 'EFFICACY' named entity 'POPULATION' named entity 'HAVE' named entity 'WELLS' named entity 'INFORMATION' named entity 'STOCHASTIC PROCESSES' named entity 'PRINCIPAL COMPONENT ANALYSIS' named entity 'ANTIVIRAL' named entity 'MORE THAN' named entity 'CYCLE' named entity 'USED' named entity 'AVERAGING' named entity 'CELLS' named entity 'MICROFLUIDIC DEVICE' named entity 'REVEALS' named entity 'EASE' named entity 'MICROSTRUCTURE' named entity 'ANTIVIRAL' named entity 'CONTAINING' named entity 'FLUORESCENT' named entity 'PROVIDE' named entity 'DISTINCT' named entity 'DYNAMICS' named entity 'TO CHARACTERIZE' named entity 'RESISTANCE' named entity 'REVEALED' named entity 'REPLICATING' named entity 'CLASS' named entity 'SINGLE' named entity 'DRUGS' named entity 'INTERFERES WITH' named entity 'CLUSTERING' named entity 'CAPTURE' named entity 'REPORTER PROTEIN' named entity '6000' named entity 'INDICATION OF' named entity 'MECHANISM OF ACTION' named entity 'USING' covid:arg/ff3db609dbf2669d8d528279ef32280c2646ba85 named entity 'mechanism' named entity 'stochastic processes' named entity 'develop' named entity 'viral infection' named entity 'enterovirus' named entity 'facilitates' named entity 'Single-cell analysis' named entity 'single-cell analysis' named entity 'enterovirus' named entity 'protein' named entity 'single-cell analysis' named entity 'mechanisms of action' named entity 'single-cell analysis' named entity 'green fluorescent protein' named entity 'molecular weight' named entity 'St. Louis' named entity 'single-cell' named entity 'antiviral agents'

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