Padala2017- ERK, PI3K/Akt and Wnt signalling network (normal)

Padala2017- ERK, PI3K/Akt and Wnt signalling
network (normal)
Crosstalk model of the ERK, Wnt and Akt
signalling pathways under normal condition.

This model is described in the article:

Cancerous perturbations
within the ERK, PI3K/Akt, and Wnt/?-catenin signaling network
constitutively activate inter-pathway positive feedback
loops.

Padala RR, Karnawat R, Viswanathan
SB, Thakkar AV, Das AB.
Mol Biosyst 2017 May; 13(5):
830-840
Abstract:

Perturbations in molecular signaling pathways are a result
of genetic or epigenetic alterations, which may lead to
malignant transformation of cells. Despite cellular robustness,
specific genetic or epigenetic changes of any gene can trigger
a cascade of failures, which result in the malfunctioning of
cell signaling pathways and lead to cancer phenotypes. The
extent of cellular robustness has a link with the architecture
of the network such as feedback and feedforward loops.
Perturbation in components within feedback loops causes a
transition from a regulated to a persistently activated state
and results in uncontrolled cell growth. This work represents
the mathematical and quantitative modeling of ERK, PI3K/Akt,
and Wnt/?-catenin signaling crosstalk to show the dynamics of
signaling responses during genetic and epigenetic changes in
cancer. ERK, PI3K/Akt, and Wnt/?-catenin signaling crosstalk
networks include both intra and inter-pathway feedback loops
which function in a controlled fashion in a healthy cell. Our
results show that cancerous perturbations of components such as
EGFR, Ras, B-Raf, PTEN, and components of the destruction
complex cause extreme fragility in the network and
constitutively activate inter-pathway positive feedback loops.
We observed that the aberrant signaling response due to the
failure of specific network components is transmitted
throughout the network via crosstalk, generating an additive
effect on cancer growth and proliferation.

This model is hosted on
BioModels Database
and identified by:
BIOMD0000000648.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.

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