Literature DB >> 25333863

Identification of isoform-specific dynamics in phosphorylation-dependent STAT5 dimerization by quantitative mass spectrometry and mathematical modeling.

Martin E Boehm1, Lorenz Adlung, Marcel Schilling, Susanne Roth, Ursula Klingmüller, Wolf D Lehmann.   

Abstract

STAT5A and STAT5B are important transcription factors that dimerize and transduce activation signals of cytokine receptors directly to the nucleus. A typical cytokine that mediates STAT5 activation is erythropoietin (Epo). Differential functions of STAT5A and STAT5B have been reported. However, the extent to which phosphorylated STAT5A and STAT5B (pSTAT5A, pSTAT5B) form homo- or heterodimers is not understood, nor is how this might influence the signal transmission to the nucleus. To study this, we designed a concept to investigate the isoform-specific dimerization behavior of pSTAT5A and pSTAT5B that comprises isoform-specific immunoprecipitation (IP), measurement of the degree of phosphorylation, and isoform ratio determination between STAT5A and STAT5B. For the main analytical method, we employed quantitative label-free and -based mass spectrometry. For the cellular model system, we used Epo receptor (EpoR)-expressing BaF3 cells (BaF3-EpoR) stimulated with Epo. Three hypotheses of dimer formation between pSTAT5A and pSTAT5B were used to explain the analytical results by a static mathematical model: formation of (i) homodimers only, (ii) heterodimers only, and (iii) random formation of homo- and heterodimers. The best agreement between experimental data and model simulations was found for the last case. Dynamics of cytoplasmic STAT5 dimerization could be explained by distinct nuclear import rates and individual nuclear retention for homo- and heterodimers of phosphorylated STAT5.

Entities:  

Keywords:  Epo stimulation; STAT5; dimerization; mathematical modeling; phosphorylation; relative isoform quantification

Mesh:

Substances:

Year:  2014        PMID: 25333863     DOI: 10.1021/pr5006923

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  9 in total

1.  A dimeric peptide with erythropoiesis-stimulating activity uniquely affects erythropoietin receptor ligation and cell surface expression.

Authors:  Rakesh Verma; Jennifer M Green; Peter J Schatz; Don M Wojchowski
Journal:  Exp Hematol       Date:  2016-05-09       Impact factor: 3.084

2.  Partial STAT5 signaling is sufficient for CD4+ T cell priming but not memory formation.

Authors:  Michelle Fleury; Cristina Vazquez-Mateo; Jaileene Hernandez-Escalante; Hans Dooms
Journal:  Cytokine       Date:  2021-11-26       Impact factor: 3.861

3.  Identification of Cell Type-Specific Differences in Erythropoietin Receptor Signaling in Primary Erythroid and Lung Cancer Cells.

Authors:  Ruth Merkle; Bernhard Steiert; Florian Salopiata; Sofia Depner; Andreas Raue; Nao Iwamoto; Max Schelker; Helge Hass; Marvin Wäsch; Martin E Böhm; Oliver Mücke; Daniel B Lipka; Christoph Plass; Wolf D Lehmann; Clemens Kreutz; Jens Timmer; Marcel Schilling; Ursula Klingmüller
Journal:  PLoS Comput Biol       Date:  2016-08-05       Impact factor: 4.475

4.  Protein abundance of AKT and ERK pathway components governs cell type-specific regulation of proliferation.

Authors:  Lorenz Adlung; Sandip Kar; Marie-Christine Wagner; Bin She; Sajib Chakraborty; Jie Bao; Susen Lattermann; Melanie Boerries; Hauke Busch; Patrick Wuchter; Anthony D Ho; Jens Timmer; Marcel Schilling; Thomas Höfer; Ursula Klingmüller
Journal:  Mol Syst Biol       Date:  2017-01-24       Impact factor: 11.429

5.  Benchmark problems for dynamic modeling of intracellular processes.

Authors:  Helge Hass; Carolin Loos; Elba Raimúndez-Álvarez; Jens Timmer; Jan Hasenauer; Clemens Kreutz
Journal:  Bioinformatics       Date:  2019-09-01       Impact factor: 6.937

Review 6.  STAT5A and STAT5B-Twins with Different Personalities in Hematopoiesis and Leukemia.

Authors:  Barbara Maurer; Sebastian Kollmann; Judith Pickem; Andrea Hoelbl-Kovacic; Veronika Sexl
Journal:  Cancers (Basel)       Date:  2019-11-04       Impact factor: 6.639

7.  Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach.

Authors:  Leonard Schmiester; Daniel Weindl; Jan Hasenauer
Journal:  J Math Biol       Date:  2020-07-21       Impact factor: 2.259

8.  Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation.

Authors:  Yannik Schälte; Jan Hasenauer
Journal:  Bioinformatics       Date:  2020-07-01       Impact factor: 6.937

9.  PyBioNetFit and the Biological Property Specification Language.

Authors:  Eshan D Mitra; Ryan Suderman; Joshua Colvin; Alexander Ionkov; Andrew Hu; Herbert M Sauro; Richard G Posner; William S Hlavacek
Journal:  iScience       Date:  2019-08-28
  9 in total

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