English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Open

Presents the pdf analysis as premium feature

PDF Analysis

Insights

Presents the summarisation as premium feature

Summarisation

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

The Unfolded Protein Response is the cell mechanism for maintaining thebalance of properly folded proteins in the endoplasmic reticulum , thespecialized cellular compartment. Although it is largely studied from abiological point of view, much of the literature lacks a quantitative analysisof such a central signaling pathway. In this work, we aim to fill this gap byapplying structural controllability analysis of complex networks to severalUnfolded Protein Response networks to identify crucial nodes in the signalingflow. In particular, we first build different network models of the UnfoldedProtein Response mechanism, relying on data contained in variousprotein-protein interaction databases. Then, we identify the driver nodes,essential for overall network control, i.e., the key proteins on which externalstimulation may be optimally delivered to control network behavior. Ourstructural controllability analysis results show that the driver nodes commonlyidentified across databases match with known endoplasmic reticulum stresssensors. This potentially confirms that the theoretically identified driverscorrespond to the biological key proteins associated with fundamental cellularactivities and diseases. In conclusion, we prove that structuralcontrollability is a reliable quantitative tool to investigate biologicalsignaling pathways, and it can be potentially applied to networks more complexand less explored than Unfolded Protein Response.

Structural Controllability to Unveil Hidden Regulation Mechanisms in Unfolded Protein Response: the Role of Network Models