dorsal/arxiv
View SchemaSignal processing in the TGF-beta superfamily ligand-receptor network
| Authors | Jose M. G. Vilar, Ronald Jansen, Chris Sander |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0509016 |
| URL | https://arxiv.org/abs/q-bio/0509016 |
| DOI | 10.1371/journal.pcbi.0020003 |
| Journal | PLoS Comput Biol. 2006 Jan;2(1):e3. Epub 2006 Jan 27. |
Abstract
The TGF-beta pathway plays a central role in tissue homeostasis and morphogenesis. It transduces a variety of extracellular signals into intracellular transcriptional responses that control a plethora of cellular processes, including cell growth, apoptosis, and differentiation. We use computational modeling to show that coupling of signaling with receptor trafficking results in a highly versatile signal-processing unit, able to sense by itself absolute levels of ligand, temporal changes in ligand concentration, and ratios of multiple ligands. This coupling controls whether the response of the receptor module is transient or permanent and whether or not different signaling channels behave independently of each other. Our computational approach unifies seemingly disparate experimental observations and suggests specific changes in receptor trafficking patterns that can lead to phenotypes that favor tumor progression.
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"abstract": "The TGF-beta pathway plays a central role in tissue homeostasis and\nmorphogenesis. It transduces a variety of extracellular signals into\nintracellular transcriptional responses that control a plethora of cellular\nprocesses, including cell growth, apoptosis, and differentiation. We use\ncomputational modeling to show that coupling of signaling with receptor\ntrafficking results in a highly versatile signal-processing unit, able to sense\nby itself absolute levels of ligand, temporal changes in ligand concentration,\nand ratios of multiple ligands. This coupling controls whether the response of\nthe receptor module is transient or permanent and whether or not different\nsignaling channels behave independently of each other. Our computational\napproach unifies seemingly disparate experimental observations and suggests\nspecific changes in receptor trafficking patterns that can lead to phenotypes\nthat favor tumor progression.",
"arxiv_id": "q-bio/0509016",
"authors": [
"Jose M. G. Vilar",
"Ronald Jansen",
"Chris Sander"
],
"categories": [
"q-bio.MN",
"nlin.AO",
"physics.bio-ph",
"q-bio.SC"
],
"doi": "10.1371/journal.pcbi.0020003",
"journal_ref": "PLoS Comput Biol. 2006 Jan;2(1):e3. Epub 2006 Jan 27.",
"title": "Signal processing in the TGF-beta superfamily ligand-receptor network",
"url": "https://arxiv.org/abs/q-bio/0509016"
},
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