Models

Dataset Information

0

Fujita2010_Akt_Signalling_EGFRinhib


ABSTRACT: Akt pathway model with EGFR inhibitor made by Kazuhiro A. Fujita. This is the Akt pathway model with an EGFR inhibitor described in: Decoupling of receptor and downstream signals in the Akt pathway by its low-pass filter characteristics. Fujita KA, Toyoshima Y, Uda S, Ozaki Y, Kubota H, and Kuroda S. Sci Signal. 2010 Jul 27;3(132):ra56. PMID: 20664065 ; DOI: 10.1126/scisignal.2000810 Abstract: In cellular signal transduction, the information in an external stimulus is encoded in temporal patterns in the activities of signaling molecules; for example, pulses of a stimulus may produce an increasing response or may produce pulsatile responses in the signaling molecules. Here, we show how the Akt pathway, which is involved in cell growth, specifically transmits temporal information contained in upstream signals to downstream effectors. We modeled the epidermal growth factor (EGF)–dependent Akt pathway in PC12 cells on the basis of experimental results. We obtained counterintuitive results indicating that the sizes of the peak amplitudes of receptor and downstream effector phosphorylation were decoupled; weak, sustained EGF receptor (EGFR) phosphorylation, rather than strong, transient phosphorylation, strongly induced phosphorylation of the ribosomal protein S6, a molecule downstream of Akt. Using frequency response analysis, we found that a three-component Akt pathway exhibited the property of a low-pass filter and that this property could explain decoupling of the peak amplitudes of receptor phosphorylation and that of downstream effectors. Furthermore, we found that lapatinib, an EGFR inhibitor used as an anticancer drug, converted strong, transient Akt phosphorylation into weak, sustained Akt phosphorylation, and, because of the low-pass filter characteristics of the Akt pathway, this led to stronger S6 phosphorylation than occurred in the absence of the inhibitor. Thus, an EGFR inhibitor can potentially act as a downstream activator of some effectors. The different versions of input, step, pulse and ramp, can be simulated using the parameters EGF_conc_pulse , EGF_conc_step and EGF_conc_ramp . Depending on which one is set unequal to 0, either a continous pulse with value EGF_conc_pulse , a 60 second step with EGF_conc_step or a signal increasing from 0 to EGF_conc_pulse over a time periode of 3600 seconds are used as input. In case more than one parameter are set to values greater than 0 these input profiles are added to each other. The pulse time and the time over which the ramp input increases can be set by pulse_time and ramp_time . This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2010 The BioModels Team. For more information see the terms of use . To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.

SUBMITTER: Kazuhiro Fujita  

PROVIDER: BIOMD0000000264 | BioModels | 2010-08-24

REPOSITORIES: BioModels

altmetric image

Publications

Decoupling of receptor and downstream signals in the Akt pathway by its low-pass filter characteristics.

Fujita Kazuhiro A KA   Toyoshima Yu Y   Uda Shinsuke S   Ozaki Yu-ichi Y   Kubota Hiroyuki H   Kuroda Shinya S  

Science signaling 20100727 132


In cellular signal transduction, the information in an external stimulus is encoded in temporal patterns in the activities of signaling molecules; for example, pulses of a stimulus may produce an increasing response or may produce pulsatile responses in the signaling molecules. Here, we show how the Akt pathway, which is involved in cell growth, specifically transmits temporal information contained in upstream signals to downstream effectors. We modeled the epidermal growth factor (EGF)-dependen  ...[more]

Similar Datasets

2010-08-24 | BIOMD0000000263 | BioModels
2010-08-24 | BIOMD0000000262 | BioModels
2021-07-08 | PXD011803 | Pride
| E-GEOD-42762 | biostudies-arrayexpress
2021-07-21 | GSE180443 | GEO
2019-04-02 | GSE119522 | GEO
2005-01-01 | MODEL1204060000 | BioModels
| E-GEOD-11729 | biostudies-arrayexpress
| 2515542 | ecrin-mdr-crc
2019-02-07 | GSE122005 | GEO