Multi-experiment nonlinear mixed effect modeling of single-cell translation kinetics after transfection.

ABSTRACT: Single-cell time-lapse studies have advanced the quantitative understanding of cellular pathways and their inherent cell-to-cell variability. However, parameters retrieved from individual experiments are model dependent and their estimation is limited, if based on solely one kind of experiment. Hence, methods to integrate data collected under different conditions are expected to improve model validation and information content. Here we present a multi-experiment nonlinear mixed effect modeling approach for mechanistic pathway models, which allows the integration of multiple single-cell perturbation experiments. We apply this approach to the translation of green fluorescent protein after transfection using a massively parallel read-out of micropatterned single-cell arrays. We demonstrate th

SUBMITTER: Frohlich F 

PROVIDER: S-EPMC6288153 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature