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  Processing temporal growth factor patterns by an epidermal growth factor receptor network dynamically established in space

Koseska, A., & Bastiaens, P. I. H. (2020). Processing temporal growth factor patterns by an epidermal growth factor receptor network dynamically established in space. Annual Review of Cell and Developmental Biology, 36, 359-383. doi:10.1146/annurev-cellbio-013020-103810.

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Koseska_ProcessingTemporalGrowth_2020_annurev-cellbio-013020-103810.pdf (Publisher version), 4MB
 
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 Creators:
Koseska, Aneta1, Author                 
Bastiaens, Philippe I. H.2, Author           
Affiliations:
1Lise Meitner Group Cellular Computations and Learning, Center of Advanced European Studies and Research (caesar), Max Planck Society, ou_3231412              
2Abt. II: Systemische Zellbiologie, Max Planck Institute of Molecular Physiology, Max Planck Society, ou_1753288              

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Free keywords: spatially organized signaling, time-varying growth factors, receptor tyrosine kinases, nonlinear dynamics, spatial cycles, collective computing
 Abstract: The proto-oncogenic epidermal growth factor (EGF) receptor (EGFR) is a tyrosine kinase whose sensitivity and response to growth factor signals that vary over time and space determine cellular behavior within a developing tissue. The molecular reorganization of the receptors on the plasma membrane and the enzyme-kinetic mechanisms of phosphorylation are key determinants that couple growth factor binding to EGFR signaling. To enable signal initiation and termination while simultaneously accounting for suppression of aberrant signaling, a coordinated coupling of EGFR kinase and protein tyrosine phosphatase activity is established through space by vesicular dynamics. The dynamical operation mode of this network enables not only time-varying growth factor sensing but also adaptation of the response depending on cellular context. By connecting spatially coupled enzymatic kinase/phosphatase processes and the corresponding dynamical systems description of the EGFR network, we elaborate on the general principles necessary for processing complex growth factor signals.

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Language(s): eng - English
 Dates: 2020-07-212020-10
 Publication Status: Issued
 Pages: 27
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 Table of Contents: -
 Rev. Type: Peer
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Title: Annual Review of Cell and Developmental Biology
  Abbreviation : Annu Rev Cell Dev Biol
Source Genre: Journal
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Publ. Info: Palo Alto, Calif. : Annual Reviews Inc.
Pages: - Volume / Issue: 36 Sequence Number: - Start / End Page: 359 - 383 Identifier: ISSN: 1081-0706
CoNE: https://pure.mpg.de/cone/journals/resource/954927687740