Simulation of live-cell imaging system reveals hidden uncertainties in cooperative binding measurements
arXiv:1802.10080 · doi:10.1103/PhysRevE.100.010402
Abstract
We propose a computational method to quantitatively evaluate the systematic uncertainties that arise from undetectable sources in biological measurements using live-cell imaging techniques. We then demonstrate this method in measuring biological cooperativity of molecular binding networks: in particular, ligand molecules binding to cell surface receptor proteins. Our results show how the non-statistical uncertainties lead to invalid identification of the measured cooperativity. Through this computational scheme, the biological interpretation can be more objectively evaluated and understood under a specific experimental configuration of interest.
arXiv comment110 pages, 96 figures
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