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Verfasst von:Meyer, René [VerfasserIn]   i
 D'Alessandro, Lorenza [VerfasserIn]   i
 Kaschek, Daniel [VerfasserIn]   i
 Lehmann, Wolf-Dieter [VerfasserIn]   i
 Höfer, Thomas [VerfasserIn]   i
 Klingmüller, Ursula [VerfasserIn]   i
Titel:Heterogeneous kinetics of AKT signaling in individual cells are accounted for by variable protein concentration
Verf.angabe:Rene Meyer, Lorenza A. D`Alessandro, Sandip Kar, Bernhard Kramer, Bin She, Daniel Kaschek, Bettina Hahn, David Wrangborg, Johan Karlsson, Mats Kvarnstrom, Mats Jirstrand, Wolf-Dieter Lehmann, Jens Timmer, Thomas Höfer, Ursula Klingmüller
E-Jahr:2012
Jahr:28 November 2012
Umfang:14 S.
Fussnoten:Gesehen am 12.11.2018
Titel Quelle:Enthalten in: Frontiers in physiology
Ort Quelle:Lausanne : Frontiers Research Foundation, 2007
Jahr Quelle:2012
Band/Heft Quelle:3(2012), Artikel-ID 451
ISSN Quelle:1664-042X
Abstract:In most solid cancers, cells harboring oncogenic mutations represent only a sub-fraction of the entire population. Within this sub-fraction the expression level of mutated proteins can vary significantly due to cellular variability limiting the efficiency of targeted therapy. To address the causes of the heterogeneity, we performed a systematic analysis of one of the most frequently mutated pathways in cancer cells, the phosphatidylinositol 3 kinase (PI3K) signaling pathway. Among others PI3K signaling is activated by the hepatocyte growth factor (HGF) that regulates proliferation of hepatocytes during liver regeneration but also fosters tumor cell proliferation. HGF mediated responses of PI3K signaling were monitored both at the single cell and cell population level in primary mouse hepatocytes and in the hepatoma cell line Hepa1_6. Interestingly, we observed that the HGF mediated AKT responses at the level of individual cells is rather heterogeneous. However, the overall average behavior of the single cells strongly resembled the dynamics of AKT activation determined at the cell population level. To gain insights into the molecular cause for the observed heterogeneous behavior of individual cells, we employed dynamic mathematical modeling in a stochastic framework. Our analysis demonstrated that intrinsic noise was not sufficient to explain the observed kinetic behavior, but rather the importance of extrinsic noise has to be considered. Thus, distinct from gene expression in the examined signaling pathway fluctuations of the reaction rates has only a minor impact whereas variability in the concentration of the various signaling components even in a clonal cell population is a key determinant for the kinetic behavior.
DOI:doi:10.3389/fphys.2012.00451
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: http://dx.doi.org/10.3389/fphys.2012.00451
 Volltext: https://www.frontiersin.org/articles/10.3389/fphys.2012.00451/full
 DOI: https://doi.org/10.3389/fphys.2012.00451
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Akt
 Hepatocellular Carcinoma
 HGF
 live cell imaging
 mathematical modeling
 PI3 kinase
 primary hepatocytes
 single cell heterogeneity
K10plus-PPN:1583626271
Verknüpfungen:→ Zeitschrift

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