Modeling signaling pathways in articular cartilage

Abstract

Chondrocytes, the only cell type in articular cartilage, are responsible for maintaining the composition of cartilage extracellular matrix (ECM) through a complex interplay of anabolic and catabolic stimuli. Although understanding the way chondrocytes respond to stimuli is of utmost importance for shedding light into the etiology of joint diseases, an integrative approach to studying their signaling transduction mechanisms is yet to be introduced. Herein, we propose an approach that combines high throughput proteomic measurements and state of the art optimization algorithms to construct a predictive model of chondrocyte signaling network, downstream of 78 receptors of interest.

Μοντελοποίηση Συμπεριφοράς Κυττάρων Μέσω Ανάλυσης Σημάτων

“…In this work published in [91], the NLP formulation in [86] was used to model signal transduction in primary human chondrocytes. A signaling pathway was constructed downstream 78 receptors of interest and was optimized to high throughput phosphoproteomic data obtained via Luminex technology.…”