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Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range

  • Cellular signal transduction is governed by multiple feedback mechanisms to elicit robust cellular decisions. The specific contributions of individual feedback regulators, however, remain unclear. Based on extensive time‐resolved data sets in primary erythroid progenitor cells, we established a dynamic pathway model to dissect the roles of the two transcriptional negative feedback regulators of the suppressor of cytokine signaling (SOCS) family, CIS and SOCS3, in JAK2/STAT5 signaling. Facilitated by the model, we calculated the STAT5 response for experimentally unobservable Epo concentrations and provide a quantitative link between cell survival and the integrated response of STAT5 in the nucleus. Model predictions show that the two feedbacks CIS and SOCS3 are most effective at different ligand concentration ranges due to their distinct inhibitory mechanisms. This divided function of dual feedback regulation enables control of STAT5 responses for Epo concentrations that can varyCellular signal transduction is governed by multiple feedback mechanisms to elicit robust cellular decisions. The specific contributions of individual feedback regulators, however, remain unclear. Based on extensive time‐resolved data sets in primary erythroid progenitor cells, we established a dynamic pathway model to dissect the roles of the two transcriptional negative feedback regulators of the suppressor of cytokine signaling (SOCS) family, CIS and SOCS3, in JAK2/STAT5 signaling. Facilitated by the model, we calculated the STAT5 response for experimentally unobservable Epo concentrations and provide a quantitative link between cell survival and the integrated response of STAT5 in the nucleus. Model predictions show that the two feedbacks CIS and SOCS3 are most effective at different ligand concentration ranges due to their distinct inhibitory mechanisms. This divided function of dual feedback regulation enables control of STAT5 responses for Epo concentrations that can vary 1000‐fold in vivo. Our modeling approach reveals dose‐dependent feedback control as key property to regulate STAT5‐mediated survival decisions over a broad range of ligand concentrations.show moreshow less

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Metadaten
Author:Julie Bachmann, Andreas RaueORCiDGND, Marcel Schilling, Martin E. Böhm, Clemens Kreutz, Daniel Kaschek, Hauke Busch, Norbert Gretz, Wolf D. Lehmann, Jens Timmer, Ursula Klingmüller
URN:urn:nbn:de:bvb:384-opus4-1132674
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/113267
ISSN:1744-4292OPAC
Parent Title (English):Molecular Systems Biology
Publisher:EMBO press
Place of publication:London
Type:Article
Language:English
Year of first Publication:2011
Publishing Institution:Universität Augsburg
Release Date:2024/06/03
Volume:7
Issue:1
First Page:516
DOI:https://doi.org/10.1038/msb.2011.50
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Modellierung und Simulation biologischer Prozesse
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):License LogoSonstige Open-Access-Lizenz