Title |
A network property necessary for concentration robustness
|
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Published in |
Nature Communications, October 2016
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DOI | 10.1038/ncomms13255 |
Pubmed ID | |
Authors |
Jeanne M. O. Eloundou-Mbebi, Anika Küken, Nooshin Omranian, Sabrina Kleessen, Jost Neigenfind, Georg Basler, Zoran Nikoloski |
Abstract |
Maintenance of functionality of complex cellular networks and entire organisms exposed to environmental perturbations often depends on concentration robustness of the underlying components. Yet, the reasons and consequences of concentration robustness in large-scale cellular networks remain largely unknown. Here, we derive a necessary condition for concentration robustness based only on the structure of networks endowed with mass action kinetics. The structural condition can be used to design targeted experiments to study concentration robustness. We show that metabolites satisfying the necessary condition are present in metabolic networks from diverse species, suggesting prevalence of this property across kingdoms of life. We also demonstrate that our predictions about concentration robustness of energy-related metabolites are in line with experimental evidence from Escherichia coli. The necessary condition is applicable to mass action biological systems of arbitrary size, and will enable understanding the implications of concentration robustness in genetic engineering strategies and medical applications. |
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Geographical breakdown
Country | Count | As % |
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Japan | 2 | 15% |
United Kingdom | 2 | 15% |
France | 1 | 8% |
Denmark | 1 | 8% |
Unknown | 7 | 54% |
Demographic breakdown
Type | Count | As % |
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Scientists | 9 | 69% |
Members of the public | 2 | 15% |
Science communicators (journalists, bloggers, editors) | 2 | 15% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
Taiwan | 1 | 2% |
Unknown | 40 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 21% |
Researcher | 9 | 21% |
Student > Master | 4 | 10% |
Student > Bachelor | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 8 | 19% |
Unknown | 7 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 31% |
Computer Science | 5 | 12% |
Biochemistry, Genetics and Molecular Biology | 4 | 10% |
Engineering | 4 | 10% |
Mathematics | 3 | 7% |
Other | 5 | 12% |
Unknown | 8 | 19% |