Interpretation of cellular proliferation data: avoid the panglossian.
There are several statistics that may be calculated to characterize a cellular proliferation experiment. By far, the most commonly-reported statistic is the percent of cells in the final culture that have divided; however, this statistic has significant limitations. Other statistics provided by software modeling provide a much richer characterization of the biological response; however, their use also comes with caveats. Here, I discuss the practical application of these statistics, including their limitations and interdependencies, using hypothetical data. The goal of this perspective is to prevent the blind reliance or overly optimistic ("panglossian") interpretation of the statistics generated by software, so that researchers and reviewers have a more-informed basis for drawing conclusions from the data.
Mario
M
Roederer
D002455:Cell Division / Q000502:physiology*; D002478:Cells, Cultured; D003627:Data Interpretation, Statistical; D005434:Flow Cytometry; D005452:Fluoresceins / Q000737:chemistry / Q000493:pharmacokinetics; D005456:Fluorescent Dyes / Q000737:chemistry / Q000493:pharmacokinetics; D008954:Models, Biological; D015233:Models, Statistical; D013388:Succinimides / Q000737:chemistry / Q000493:pharmacokinetics
C087165:5-(6)-carboxyfluorescein diacetate succinimidyl ester; D005452:Fluoresceins; D005456:Fluorescent Dyes; D013388:Succinimides