Richismita Hazra, Amity University Kolkata
Single-cell signaling responses are now measurable, but their interpretation is still restricted. Interpretation of dose-response based on single-cell data is also not accurately predictable. Here, probabilistic modeling and information-theory have been used to inaugurate fractional response analysis (FRA). This technique quantifies changes in the fraction of cells with provided response levels and can be invariably accomplished for heterogeneous, multivariate, and dynamic measurements.
This research shows that fractional response to type I interferon in human blood mononuclear cells are similar across different cell types although there are differences in mean or median responses. Demonstration of fractional response to cytokines has also been dealt with in this study which uncovers the sensitivity of the cellular population to fold-changes in the dose, as against additive alterations.
Weber-Fechner Law is resembled by the sensitivity to dose fold0-changes in cell populations. Thi study shows that the response to the stimuli of cellular populations that is quantitatively close to the perception of differences in certain situations.
Also read: Controlling neural activity using FLiCRE
Source: Karol Nienałtowski, Rachel E. Rigby, Jarosław Walczak, Karolina E. Zakrzewska, Jan Rehwinkel, Michał Komorowski doi: https://doi.org/10.1101/2020.12.08.413468
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