Dataset Information

Context-dependent regulatory mechanisms control site-specific information processing within the MEK/ERK module

ABSTRACT: The impact of the cellular context and receptor type on the dynamics of phosphorylation cycles in signaling pathways are unclear. We employ an unbiased approach to identify network alterations that explain phosphorylation dynamics of the MEK/ERK module in response to hepatocyte growth factor or interleukin-6, comparing primary hepatocytes with the immortalized cell line HaCaT. By combining quantitative mass spectrometry with dynamic modeling, we elucidate the network structure in primary hepatocytes. For HaCaT, our model predicts additional dual feedback regulation, which we experimentally identify as DUSP6 and paxillin. Model analyses reveal switch-like ERK phospho-form distribution profiles in primary hepatocytes that are severely altered in HaCaT, explaining threshold, sensitivity and saturation behavior. We apply our approach to human hepatocellular carcinoma samples and identify, as predicted, elevated threonine-phosphorylated ERK levels in the tumor. This suggests that the prevalence of the mono-phosphorylated ERK rather than the doubly phosphorylated ERK is indicative for dysregulated proliferation.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Marcel Schilling

PROVIDER: MSV000080803 | MassIVE | Wed Mar 29 18:56:00 BST 2017

SECONDARY ACCESSION(S): PXD002460

REPOSITORIES: MassIVE

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Context-specific flow through the MEK/ERK module produces cell- and ligand-specific patterns of ERK single and double phosphorylation.

Iwamoto Nao N D'Alessandro Lorenza A LA Depner Sofia S Hahn Bettina B Kramer Bernhard A BA Lucarelli Philippe P Vlasov Artyom A Stepath Markus M Böhm Martin E ME Deharde Daniela D Damm Georg G Seehofer Daniel D Lehmann Wolf D WD Klingmüller Ursula U Schilling Marcel M

Science signaling 20160202 413

The same pathway, such as the mitogen-activated protein kinase (MAPK) pathway, can produce different cellular responses, depending on stimulus or cell type. We examined the phosphorylation dynamics of the MAPK kinase MEK and its targets extracellular signal-regulated kinase 1 and 2 (ERK1/2) in primary hepatocytes and the transformed keratinocyte cell line HaCaT A5 exposed to either hepatocyte growth factor or interleukin-6. By combining quantitative mass spectrometry with dynamic modeling, we el ...[more]

PMID: 26838549

Similar Datasets

Project description:Schilling2009 - ERK distributive This model has been exported from PottersWheel on 2009-04-20 18:57:44. The PottersWheel Model Definition file can be obtained from the curation tab. This model is described in the article: Theoretical and experimental analysis links isoform-specific ERK signalling to cell fate decisions. Schilling M, Maiwald T, Hengl S, Winter D, Kreutz C, Kolch W, Lehmann WD, Timmer J, Klingmüller U. Mol. Syst. Biol. 2009; 5: 334 Abstract: Cell fate decisions are regulated by the coordinated activation of signalling pathways such as the extracellular signal-regulated kinase (ERK) cascade, but contributions of individual kinase isoforms are mostly unknown. By combining quantitative data from erythropoietin-induced pathway activation in primary erythroid progenitor (colony-forming unit erythroid stage, CFU-E) cells with mathematical modelling, we predicted and experimentally confirmed a distributive ERK phosphorylation mechanism in CFU-E cells. Model analysis showed bow-tie-shaped signal processing and inherently transient signalling for cytokine-induced ERK signalling. Sensitivity analysis predicted that, through a feedback-mediated process, increasing one ERK isoform reduces activation of the other isoform, which was verified by protein over-expression. We calculated ERK activation for biochemically not addressable but physiologically relevant ligand concentrations showing that double-phosphorylated ERK1 attenuates proliferation beyond a certain activation level, whereas activated ERK2 enhances proliferation with saturation kinetics. Thus, we provide a quantitative link between earlier unobservable signalling dynamics and cell fate decisions. This model is hosted on BioModels Database and identified by: BIOMD0000000270. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Mueller2015 - Hepatocyte proliferation, T160 phosphorylation of CDK2 This model is described in the article: T160-phosphorylated CDK2 defines threshold for HGF-dependent proliferation in primary hepatocytes. Mueller S, Huard J, Waldow K, Huang X, D'Alessandro LA, Bohl S, Börner K, Grimm D, Klamt S, Klingmüller U, Schilling M. Mol. Syst. Biol. 2015; 11(3): 795 Abstract: Liver regeneration is a tightly controlled process mainly achieved by proliferation of usually quiescent hepatocytes. The specific molecular mechanisms ensuring cell division only in response to proliferative signals such as hepatocyte growth factor (HGF) are not fully understood. Here, we combined quantitative time-resolved analysis of primary mouse hepatocyte proliferation at the single cell and at the population level with mathematical modeling. We showed that numerous G1/S transition components are activated upon hepatocyte isolation whereas DNA replication only occurs upon additional HGF stimulation. In response to HGF, Cyclin:CDK complex formation was increased, p21 rather than p27 was regulated, and Rb expression was enhanced. Quantification of protein levels at the restriction point showed an excess of CDK2 over CDK4 and limiting amounts of the transcription factor E2F-1. Analysis with our mathematical model revealed that T160 phosphorylation of CDK2 correlated best with growth factor-dependent proliferation, which we validated experimentally on both the population and the single cell level. In conclusion, we identified CDK2 phosphorylation as a gate-keeping mechanism to maintain hepatocyte quiescence in the absence of HGF. This model is hosted on BioModels Database and identified by: BIOMD0000000568. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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