dc.contributor.author |
Melas, IN |
en |
dc.contributor.author |
Chairakaki, AD |
en |
dc.contributor.author |
Mitsos, A |
en |
dc.contributor.author |
Dailiana, Z |
en |
dc.contributor.author |
Provatidis, CG |
en |
dc.contributor.author |
Alexopoulos, LG |
en |
dc.date.accessioned |
2014-03-01T02:47:25Z |
|
dc.date.available |
2014-03-01T02:47:25Z |
|
dc.date.issued |
2011 |
en |
dc.identifier.issn |
1557170X |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/33129 |
|
dc.subject.other |
Articular cartilages |
en |
dc.subject.other |
Cartilage extracellular matrixes |
en |
dc.subject.other |
Cell types |
en |
dc.subject.other |
Chondrocytes |
en |
dc.subject.other |
High throughput |
en |
dc.subject.other |
Joint disease |
en |
dc.subject.other |
Optimization algorithms |
en |
dc.subject.other |
Predictive models |
en |
dc.subject.other |
Shedding light |
en |
dc.subject.other |
Signaling networks |
en |
dc.subject.other |
Signaling pathways |
en |
dc.subject.other |
Signaling transduction |
en |
dc.subject.other |
State of the art |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Arts computing |
en |
dc.subject.other |
Body fluids |
en |
dc.subject.other |
Signaling |
en |
dc.subject.other |
Cartilage |
en |
dc.title |
Modeling signaling pathways in articular cartilage |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/IEMBS.2011.6090630 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/IEMBS.2011.6090630 |
en |
heal.identifier.secondary |
6090630 |
en |
heal.publicationDate |
2011 |
en |
heal.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. © 2011 IEEE. |
en |
heal.journalName |
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
en |
dc.identifier.doi |
10.1109/IEMBS.2011.6090630 |
en |
dc.identifier.volume |
2011 |
en |
dc.identifier.spage |
3712 |
en |
dc.identifier.epage |
3715 |
en |