PTMOracle: A Cytoscape App for Covisualizing and Coanalyzing Post-Translational Modifications in Protein Interaction Networks

被引:13
作者
Tay, Aidan P. [1 ]
Pang, Chi Nam Ignatius [1 ]
Winter, Daniel L. [1 ]
Wilkins, Marc R. [1 ]
机构
[1] Univ New South Wales, Sch Biotechnol & Biomol Sci, Syst Biol Initiat, Sydney, NSW 2052, Australia
基金
澳大利亚研究理事会;
关键词
post-translational modification; protein-proteininteraction; data integration; networks; visualization; Cytoscape; LARGE-SCALE ANALYSIS; SACCHAROMYCES-CEREVISIAE; MASS-SPECTROMETRY; LYSINE ACETYLATION; CELL-CYCLE; CROSS-TALK; DROSOPHILA-MELANOGASTER; INTERACTION LANDSCAPE; HISTONE MODIFICATIONS; BIOLOGICAL NETWORKS;
D O I
10.1021/acs.jproteome.6b01052
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Post-translational modifications of proteins (PTMs) act as key regulators of protein activity and of protein protein interactions (PPIs). To date, it has been difficult to comprehensively explore functional links between PTMs and PPIs. To address this, we developed PTMOracle, a Cytoscape app for coanalyzing PTMs within PPI networks. PTMOracle also allows extensive data to be integrated and coanalyzed with PPI networks, allowing the role of domains, motifs, and disordered regions to be considered. For proteins of interest, or a whole proteome, PTMOracle can generate network visualizations to reveal complex PTM-associated relationships. This is assisted by OraclePainter for coloring proteins by modifications, OracleTools for network analytics, and OracleResults for exploring tabulated findings. To illustrate the use of PTMOracle, we investigate PTM-associated relationships and their role in PPIs in four case studies. In the yeast interactome and its rich set of PTMs, we construct and explore histone-associated and domain domain interaction networks and show how integrative approaches can predict kinases involved in phosphodegrons. In the human interactome, a phosphotyrosine-associated network is analyzed but highlights the sparse nature of human PPI networks and lack of PTMassociated data.
引用
收藏
页码:1988 / 2003
页数:16
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