Phosphoproteomics-Based Systems Analysis of Signal Transduction Networks

Signal transduction systems coordinate complex cellular information to regulate biological events such as cell proliferation and differentiation. Although the accumulating evidence on widespread association of signaling molecules has revealed essential contribution of phosphorylation-dependent inter...

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Main Authors:	Kozuka-Hata, Hiroko, Tasaki, Shinya, Oyama, Masaaki
Format:	Online
Language:	English
Published:	Frontiers Research Foundation 2012
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250057/

id	pubmed-3250057
recordtype	oai_dc
spelling	pubmed-32500572012-01-30 Phosphoproteomics-Based Systems Analysis of Signal Transduction Networks Kozuka-Hata, Hiroko Tasaki, Shinya Oyama, Masaaki Physiology Signal transduction systems coordinate complex cellular information to regulate biological events such as cell proliferation and differentiation. Although the accumulating evidence on widespread association of signaling molecules has revealed essential contribution of phosphorylation-dependent interaction networks to cellular regulation, their dynamic behavior is mostly yet to be analyzed. Recent technological advances regarding mass spectrometry-based quantitative proteomics have enabled us to describe the comprehensive status of phosphorylated molecules in a time-resolved manner. Computational analyses based on the phosphoproteome dynamics accelerate generation of novel methodologies for mathematical analysis of cellular signaling. Phosphoproteomics-based numerical modeling can be used to evaluate regulatory network elements from a statistical point of view. Integration with transcriptome dynamics also uncovers regulatory hubs at the transcriptional level. These omics-based computational methodologies, which have firstly been applied to representative signaling systems such as the epidermal growth factor receptor pathway, have now opened up a gate for systems analysis of signaling networks involved in immune response and cancer. Frontiers Research Foundation 2012-01-03 /pmc/articles/PMC3250057/ /pubmed/22291655 http://dx.doi.org/10.3389/fphys.2011.00113 Text en Copyright © 2012 Kozuka-Hata, Tasaki and Oyama. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Kozuka-Hata, Hiroko Tasaki, Shinya Oyama, Masaaki
spellingShingle	Kozuka-Hata, Hiroko Tasaki, Shinya Oyama, Masaaki Phosphoproteomics-Based Systems Analysis of Signal Transduction Networks
author_facet	Kozuka-Hata, Hiroko Tasaki, Shinya Oyama, Masaaki
author_sort	Kozuka-Hata, Hiroko
title	Phosphoproteomics-Based Systems Analysis of Signal Transduction Networks
title_short	Phosphoproteomics-Based Systems Analysis of Signal Transduction Networks
title_full	Phosphoproteomics-Based Systems Analysis of Signal Transduction Networks
title_fullStr	Phosphoproteomics-Based Systems Analysis of Signal Transduction Networks
title_full_unstemmed	Phosphoproteomics-Based Systems Analysis of Signal Transduction Networks
title_sort	phosphoproteomics-based systems analysis of signal transduction networks
description	Signal transduction systems coordinate complex cellular information to regulate biological events such as cell proliferation and differentiation. Although the accumulating evidence on widespread association of signaling molecules has revealed essential contribution of phosphorylation-dependent interaction networks to cellular regulation, their dynamic behavior is mostly yet to be analyzed. Recent technological advances regarding mass spectrometry-based quantitative proteomics have enabled us to describe the comprehensive status of phosphorylated molecules in a time-resolved manner. Computational analyses based on the phosphoproteome dynamics accelerate generation of novel methodologies for mathematical analysis of cellular signaling. Phosphoproteomics-based numerical modeling can be used to evaluate regulatory network elements from a statistical point of view. Integration with transcriptome dynamics also uncovers regulatory hubs at the transcriptional level. These omics-based computational methodologies, which have firstly been applied to representative signaling systems such as the epidermal growth factor receptor pathway, have now opened up a gate for systems analysis of signaling networks involved in immune response and cancer.
publisher	Frontiers Research Foundation
publishDate	2012
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250057/
_version_	1611497869418692608

Phosphoproteomics-Based Systems Analysis of Signal Transduction Networks

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