bioRxivImmunology
The Impact of Model Assumptions in Interpreting Cell Kinetic Studies
A. Yan, I. Sadreev, J. Mackerodt, Y. Zhang, D. C. Macallan, R. Busch, B. Asquith
Abstract
Author summaryStable isotope labelling is one of the best available methods for quantifying cell dynamics in vivo, particularly in humans where the absence of toxicity makes it preferable over other techniques such as CFSE or BrdU. Interpretation of stable isotope labelling data necessitates simplifying assumptions. Here we investigate the impact of three of the most commonly used simplifying assumptions (that the cell population of interest is closed, that the population of interest is kinetically homogeneous, and that the population is spatially homogeneous) and suggest pragmatic ways in which the resulting errors can be reduced.
- organism: human
- assay: bulk RNA-seq
- research focus: cell signaling & trafficking
- approach: statistical model
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