Tieri, P;
Grignolio, A;
Zaikin, A;
Mishto, M;
Remondini, D;
Castellani, GC;
Franceschi, C;
(2010)
Network, degeneracy and bow tie. Integrating paradigms and architectures to grasp the complexity of the immune system.
Theoretical Biology and Medical Modelling
, 7
(32)
10.1186/1742-4682-7-32.
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Abstract
Recently, the network paradigm, an application of graph theory to biology, has proven to be a powerful approach to gaining insights into biological complexity, and has catalyzed the advancement of systems biology. In this perspective and focusing on the immune system, we propose here a more comprehensive view to go beyond the concept of network. We start from the concept of degeneracy, one of the most prominent characteristic of biological complexity, defined as the ability of structurally different elements to perform the same function, and we show that degeneracy is highly intertwined with another recently-proposed organizational principle, i.e. 'bow tie architecture'. The simultaneous consideration of concepts such as degeneracy, bow tie architecture and network results in a powerful new interpretative tool that takes into account the constructive role of noise (stochastic fluctuations) and is able to grasp the major characteristics of biological complexity, i.e. the capacity to turn an apparently chaotic and highly dynamic set of signals into functional information.
Type: | Article |
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Title: | Network, degeneracy and bow tie. Integrating paradigms and architectures to grasp the complexity of the immune system |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1186/1742-4682-7-32 |
Publisher version: | http://dx.doi.org/10.1186/1742-4682-7-32 |
Language: | English |
Additional information: | © 2010 Tieri et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | T-cell-receptor, Metabolic networks, Stochastic resonance, Cross-reactivity, Recognition, Specificity, Disease, Immunology, Biology, Immunoproteasome |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Womens Cancer |
URI: | https://discovery.ucl.ac.uk/id/eprint/129872 |
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