bioRxivSystems BiologyPreprint
Single-cell profiling quantifies the dose gap between population-average and complete pY-STAT1/3 suppression by JAK inhibitors
Karolina Ewa ZakrzewskaiD, Jarosław WalczakiD, Karol NienałtowskiiD, Piotr Topolewski, Christina Maria Wagner, Agata BraniewskaiD, Tomasz P. RygieliD, Richard MoriggliD, Michał KomorowskiiD
Abstract
Inhibitor potency is commonly assessed from population-average responses, but how much single-cell signaling remains under strong average suppression is less clear. We measured nuclear STAT1 and STAT3 tyrosine phosphorylation in two human monocytic cell lines stimulated with IFN-{gamma}; and IL-10 and treated with six JAK-pathway inhibitors. Across 24 profiles, we compared arithmetic-mean inhibition and inhibition of the mean of log10-transformed single-cell responses (log-mean) with the fractions of cells leaving the stimulated range (partial inhibition) or entering the non-stimulated range (complete inhibition). At the lowest tested doses where arithmetic-mean or log-mean inhibition reached at least 80%, median fractions remaining above the non-stimulated range were 76% and 37%, respectively. Thus, strong average suppression frequently left substantial fractions of cells with tangibly elevated pY-STAT responses. Log-mean inhibition generally approximated partial-inhibition occupancy, whereas the apparent IC50 for complete-inhibition occupancy was a median 2.4-fold higher than the log-mean IC50 and 7.4-fold higher than the arithmetic-mean IC50. These relationships provide an empirical guide for estimating cell fractions from conventional inhibition curves.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
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