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- W3200016827 abstract "An individual eukaryotic cell senses identity and quantity of ligands through molecular receptors and signaling pathways, dynamically activating signaling effectors. A distinct ligand often activates multiple different effectors, and a distinct effector is activated by numerous different ligands, which results in cross-wired signaling. In apparently identical cells, the activity of signaling effectors can vary considerably, raising questions about the accuracy of cellular signaling and the interpretation of heterogeneous responses, as either functional or simply noise. Cell-to-cell variability of signaling outcomes, signaling dynamics, and cross-wiring all give rise to signaling complexity, complicating the analysis of signaling mechanisms. Here, we consider a simple input–output modeling approach of information theory that is suitable to analyze signaling complexity and highlight recent studies that have advanced our understanding of the role different components of signaling complexity play in achieving effective information transfer along cellular signaling pathways." @default.
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- W3200016827 date "2021-09-01" @default.
- W3200016827 modified "2023-09-25" @default.
- W3200016827 title "‘Theoretical approaches to analyze single-cell data’ (April 2021) within the theme Mathematical modelling" @default.
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- W3200016827 doi "https://doi.org/10.1016/j.coisb.2021.100382" @default.
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