The anti-parallel dimer binding interface in STAT3 transcription factor is required for the inactivation of cytokine-mediated signal transduction.


Journal

Biochimica et biophysica acta. Molecular cell research
ISSN: 1879-2596
Titre abrégé: Biochim Biophys Acta Mol Cell Res
Pays: Netherlands
ID NLM: 101731731

Informations de publication

Date de publication:
11 2021
Historique:
received: 17 01 2021
revised: 30 07 2021
accepted: 05 08 2021
pubmed: 15 8 2021
medline: 30 12 2021
entrez: 14 8 2021
Statut: ppublish

Résumé

Signal transducer and activator of transcription 3 (STAT3) gain-of-function mutations have been widely reported in patients with tumors and haematological malignancies. However, the molecular mechanisms of these pathogenic mutations remain largely uninvestigated. In this study, we have extensively characterized two STAT3 missense mutations, namely a valine-to-alanine exchange in the amino-terminal region (V77A) and a phenylalanine-to-alanine substitution (F174A) in the coiled-coil domain. The two mutants displayed elevated levels of tyrosine phosphorylation, premature nuclear accumulation, and differential transcriptional responses following stimulation of cells with interleukin-6 and interferon-ɣ. In line with their hyper-phosphorylated status, a greater fraction of V77A and F174A proteins was bound to DNA on high-affinity binding sites termed sis-inducible elements (SIE) as compared to the wild-type (WT) protein. Unexpectedly, these STAT3 variants displayed similar kinetics using in vitro kinase and dephosphorylation assays performed with recombinant Janus kinase 2 (JAK2) and Tc45 phosphatase, respectively. This indicates that the two mutations neither affected the susceptibility of STAT3 to the enzymatic activity of the inactivating tyrosine phosphatase nor to the activating kinase. However, experiments triggering intracellular dephosphorylation by the addition of the tyrosine-kinase inhibitor staurosporine to cytokine-pretreated cells showed that the two mutants partially resisted dephosphorylation. From these data, we propose that the F174A missense mutation hinders the exchange from a parallel to an anti-parallel dimer conformation, thereby increasing the ratio of tyrosine-phosphorylated molecules bound to DNA and enhancing gene-dependent transcription. Our data point to the physiological importance of the anti-parallel dimer conformation in the inactivation of the cytokine-induced STAT3 signalling pathway.

Identifiants

pubmed: 34390807
pii: S0167-4889(21)00172-5
doi: 10.1016/j.bbamcr.2021.119118
pii:
doi:

Substances chimiques

Cytokines 0
STAT3 Transcription Factor 0
Stat3 protein, mouse 0
Janus Kinase 2 EC 2.7.10.2
Protein Tyrosine Phosphatase, Non-Receptor Type 2 EC 3.1.3.48

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

119118

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Priyanka Rajeev Menon (PR)

Department of Psychosomatic Medicine and Psychotherapy, University Medical Centre Göttingen, German Centre for Cardiovascular Research (DZHK), partner site Göttingen, Germany.

Asmma Doudin (A)

Department of Psychosomatic Medicine and Psychotherapy, University Medical Centre Göttingen, German Centre for Cardiovascular Research (DZHK), partner site Göttingen, Germany.

Anke Gregus (A)

Department of Psychosomatic Medicine and Psychotherapy, University Medical Centre Göttingen, German Centre for Cardiovascular Research (DZHK), partner site Göttingen, Germany.

Oliver Wirths (O)

Department of Psychiatry and Psychotherapy, University Medical Centre Göttingen, Germany.

Julia Staab (J)

Department of Psychosomatic Medicine and Psychotherapy, University Medical Centre Göttingen, German Centre for Cardiovascular Research (DZHK), partner site Göttingen, Germany.

Thomas Meyer (T)

Department of Psychosomatic Medicine and Psychotherapy, University Medical Centre Göttingen, German Centre for Cardiovascular Research (DZHK), partner site Göttingen, Germany. Electronic address: thomas.meyer@med.uni-goettingen.de.

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Classifications MeSH