Title |
Reconstruction of Insulin Signal Flow from Phosphoproteome and Metabolome Data
|
---|---|
Published in |
Cell Reports, August 2014
|
DOI | 10.1016/j.celrep.2014.07.021 |
Pubmed ID | |
Authors |
Katsuyuki Yugi, Hiroyuki Kubota, Yu Toyoshima, Rei Noguchi, Kentaro Kawata, Yasunori Komori, Shinsuke Uda, Katsuyuki Kunida, Yoko Tomizawa, Yosuke Funato, Hiroaki Miki, Masaki Matsumoto, Keiichi I. Nakayama, Kasumi Kashikura, Keiko Endo, Kazutaka Ikeda, Tomoyoshi Soga, Shinya Kuroda |
Abstract |
Cellular homeostasis is regulated by signals through multiple molecular networks that include protein phosphorylation and metabolites. However, where and when the signal flows through a network and regulates homeostasis has not been explored. We have developed a reconstruction method for the signal flow based on time-course phosphoproteome and metabolome data, using multiple databases, and have applied it to acute action of insulin, an important hormone for metabolic homeostasis. An insulin signal flows through a network, through signaling pathways that involve 13 protein kinases, 26 phosphorylated metabolic enzymes, and 35 allosteric effectors, resulting in quantitative changes in 44 metabolites. Analysis of the network reveals that insulin induces phosphorylation and activation of liver-type phosphofructokinase 1, thereby controlling a key reaction in glycolysis. We thus provide a versatile method of reconstruction of signal flow through the network using phosphoproteome and metabolome data. |
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Country | Count | As % |
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Japan | 3 | 18% |
Germany | 1 | 6% |
United States | 1 | 6% |
Unknown | 12 | 71% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 14 | 82% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Scientists | 1 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 4 | 2% |
United Kingdom | 2 | <1% |
United States | 2 | <1% |
Australia | 1 | <1% |
Belgium | 1 | <1% |
Switzerland | 1 | <1% |
China | 1 | <1% |
Singapore | 1 | <1% |
Unknown | 244 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 58 | 23% |
Student > Ph. D. Student | 45 | 18% |
Student > Master | 35 | 14% |
Student > Bachelor | 32 | 12% |
Professor > Associate Professor | 16 | 6% |
Other | 41 | 16% |
Unknown | 30 | 12% |
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Agricultural and Biological Sciences | 77 | 30% |
Biochemistry, Genetics and Molecular Biology | 73 | 28% |
Medicine and Dentistry | 19 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 9 | 4% |
Engineering | 8 | 3% |
Other | 29 | 11% |
Unknown | 42 | 16% |