Formation of regulatory patterns during signal propagation in a mammalian cellular network

被引:227
作者
Ma'ayan, A
Jenkins, SL
Neves, S
Hasseldine, A
Grace, E
Dubin-Thalere, B
Eungdamrong, NJ
Weng, GZ
Ram, PT
Rice, JJ
Kershenbaum, A
Stolovitzky, GA
Blitzer, RD
Iyengar, R [1 ]
机构
[1] Mt Sinai Sch Med, Dept Pharmacol, New York, NY 10029 USA
[2] Mt Sinai Sch Med, Dept Biol Chem, New York, NY 10029 USA
[3] Mt Sinai Sch Med, Dept Psychiat, New York, NY 10029 USA
[4] Columbia Univ, Dept Biol Sci, New York, NY 10029 USA
[5] IBM Corp, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA
关键词
D O I
10.1126/science.1108876
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We developed a model of 545 components (nodes) and 1259 interactions representing signaling pathways and cellular machines in the hippocampal CA1 neuron. Using graph theory methods, we analyzed ligand-induced signal flow through the system. Specification of input and output nodes allowed us to identify functional modules. Networking resulted in the emergence of regulatory motifs, such as positive and negative feedback and feedforward loops, that process information. Key regulators of plasticity were highly connected nodes required for the formation of regulatory motifs, indicating the potential importance of such motifs in determining cellular choices between homeostasis and plasticity.
引用
收藏
页码:1078 / 1083
页数:6
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