Selected article for: "infection time and single cell"

Author: Wu Liu; Mehmet U. Caglar; Zhangming Mao; Andrew Woodman; Jamie J. Arnold; Claus O. Wilke; Craig E. Cameron
Title: More than efficacy revealed by single-cell analysis of antiviral therapeutics
  • Document date: 2019_4_12
  • ID: aiyg061l_12
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https://doi.org/10.1101/606715 doi: bioRxiv preprint 8 A major advantage of the single-cell platform is that the effect of a drug on the viable 117 population can be determined. To analyze the single-cell data, we use five phenomenological 118 parameters extracted from each time course (Fig. S4c) . These parameters are: maximum 119 fluorescence observed, .....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. . https://doi.org/10.1101/606715 doi: bioRxiv preprint 8 A major advantage of the single-cell platform is that the effect of a drug on the viable 117 population can be determined. To analyze the single-cell data, we use five phenomenological 118 parameters extracted from each time course (Fig. S4c) . These parameters are: maximum 119 fluorescence observed, which correlates to yield of genomic RNA; slope at the time of half-120 maximum fluorescence, which correlates to replication speed; infection time, which, to a first 121 approximation, is the time it takes for an infection to go from start to finish akin to the virus was most sensitive to 2'-C-Me-A was unexpected but could be easily rationalized by the notion 140 All rights reserved. No reuse allowed without permission.

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