A comprehensive molecular interaction map of the budding yeast cell cycle

被引:51
作者
Kaizu, Kazunari [2 ,3 ,4 ]
Ghosh, Samik
Matsuoka, Yukiko [5 ]
Moriya, Hisao [3 ,6 ,7 ]
Shimizu-Yoshida, Yuki [3 ,4 ]
Kitano, Hiroaki [1 ,3 ,4 ,8 ]
机构
[1] Syst Biol Inst, Minato Ku, Tokyo 1080071, Japan
[2] Keio Univ, Dept Sci & Technol, Kanagawa, Japan
[3] Japanese Fdn Canc Res, Inst Canc, Div Syst Biol, Tokyo 170, Japan
[4] Sony Comp Sci Labs Inc, Tokyo, Japan
[5] JST ERATO KAWAOKA Infect Induced Host Response Pr, Tokyo, Japan
[6] Okayama Univ, Res Core Interdisciplinary Sci, Okayama, Japan
[7] Japan Sci & Technol Agcy, Precursory Res Embryon Sci & Technol, Tokyo, Japan
[8] Okinawa Inst Sci & Technol, Okinawa, Japan
基金
日本科学技术振兴机构;
关键词
comprehensive map; large-scale network; yeast cell cycle; PROTEIN-PROTEIN INTERACTIONS; SACCHAROMYCES-CEREVISIAE; DEPENDENT DEGRADATION; DIVISION CYCLE; IN-VIVO; KINASE; PHOSPHORYLATION; MODEL; NETWORK; PATHWAY;
D O I
10.1038/msb.2010.73
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
With the accumulation of data on complex molecular machineries coordinating cell-cycle dynamics, coupled with its central function in disease patho-physiologies, it is becoming increasingly important to collate the disparate knowledge sources into a comprehensive molecular network amenable to systems-level analyses. In this work, we present a comprehensive map of the budding yeast cell-cycle, curating reactions from B600 original papers. Toward leveraging the map as a framework to explore the underlying network architecture, we abstract the molecular components into three planes-signaling, cell-cycle core and structural planes. The planar view together with topological analyses facilitates network-centric identification of functions and control mechanisms. Further, we perform a comparative motif analysis to identify around 194 motifs including feed-forward, mutual inhibitory and feedback mechanisms contributing to cell-cycle robustness. We envisage the open access, comprehensive cell-cycle map to open roads toward community-based deeper understanding of cell-cycle dynamics. Molecular Systems Biology 6: 415; published online 21 September 2010; doi:10.1038/msb.2010.73
引用
收藏
页数:11
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