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Correlated receptor transport processes buffer single-cell heterogeneity.
Kallenberger, Stefan M; Unger, Anne L; Legewie, Stefan; Lymperopoulos, Konstantinos; Klingmüller, Ursula; Eils, Roland; Herten, Dirk-Peter.
Afiliação
  • Kallenberger SM; Department for Bioinformatics and Functional Genomics, Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany.
  • Unger AL; Cellnetworks Cluster and Institute of Physical Chemistry, BioQuant, Heidelberg University, Heidelberg, Germany.
  • Legewie S; Institute of Molecular Biology, Mainz, Germany.
  • Lymperopoulos K; Cellnetworks Cluster and Institute of Physical Chemistry, BioQuant, Heidelberg University, Heidelberg, Germany.
  • Klingmüller U; Division Systems Biology of Signal Transduction, DKFZ-ZMBH Alliance, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Eils R; Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
  • Herten DP; Department for Bioinformatics and Functional Genomics, Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany.
PLoS Comput Biol ; 13(9): e1005779, 2017 Sep.
Article em En | MEDLINE | ID: mdl-28945754
ABSTRACT
Cells typically vary in their response to extracellular ligands. Receptor transport processes modulate ligand-receptor induced signal transduction and impact the variability in cellular responses. Here, we quantitatively characterized cellular variability in erythropoietin receptor (EpoR) trafficking at the single-cell level based on live-cell imaging and mathematical modeling. Using ensembles of single-cell mathematical models reduced parameter uncertainties and showed that rapid EpoR turnover, transport of internalized EpoR back to the plasma membrane, and degradation of Epo-EpoR complexes were essential for receptor trafficking. EpoR trafficking dynamics in adherent H838 lung cancer cells closely resembled the dynamics previously characterized by mathematical modeling in suspension cells, indicating that dynamic properties of the EpoR system are widely conserved. Receptor transport processes differed by one order of magnitude between individual cells. However, the concentration of activated Epo-EpoR complexes was less variable due to the correlated kinetics of opposing transport processes acting as a buffering system.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transporte Biológico / Receptores de Superfície Celular / Análise de Célula Única / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transporte Biológico / Receptores de Superfície Celular / Análise de Célula Única / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Ano de publicação: 2017 Tipo de documento: Article