Scale relativity theory and integrative systems biology: 1 Founding principles and scale laws

被引:52
作者
Auffray, Charles [1 ]
Nottale, Laurent [1 ,2 ,3 ]
机构
[1] Univ Paris 06, CNRS, LGN, UMR Funct Genom & Syst Biol Hlth 7091, F-94801 Villejuif, France
[2] Observ Paris, CNRS, LUTH, F-92190 Meudon, France
[3] Paris Diderot Univ Paris 7, F-92190 Meudon, France
关键词
systems biology; scale relativity; scale laws; first principles; multiscale integration;
D O I
10.1016/j.pbiomolbio.2007.09.002
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
In these two companion papers, we provide an overview and a brief history of the multiple roots, current developments and recent advances of integrative systems biology and identify multiscale integration as its grand challenge. Then we introduce the fundamental principles and the successive steps that have been followed in the construction of the scale relativity theory, and discuss how scale laws of increasing complexity can be used to model and understand the behaviour of complex biological systems. In scale relativity theory, the geometry of space is considered to be continuous but non-differentiable, therefore fractal (i.e., explicitly scale-dependent). One writes the equations of motion in such a space as geodesics equations, under the constraint of the principle of relativity of all scales in nature. To this purpose, covariant derivatives are constructed that implement the various effects of the non-differentiable and fractal geometry. In this first review paper, the scale laws that describe the new dependence on resolutions of physical quantities are obtained as solutions of differential equations acting in the scale space. This leads to several possible levels of description for these laws, from the simplest scale invariant laws to generalized laws with variable fractal dimensions. Initial applications of these laws to the study of species evolution, embryogenesis and cell confinement are discussed. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:79 / 114
页数:36
相关论文
共 197 条
[11]   From functional genomics to systems biology:: Concepts and practices [J].
Auffray, C ;
Imbeaud, S ;
Roux-Rouquié, M ;
Hood, L .
COMPTES RENDUS BIOLOGIES, 2003, 326 (10-11) :879-892
[12]   Self-organized living systems:: conjunction of a stable organization with chaotic fluctuations in biological space-time [J].
Auffray, C ;
Imbeaud, S ;
Roux-Rouquié, M ;
Hood, L .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2003, 361 (1807) :1125-1139
[13]  
AUFFRAY C, 2005, SOURCES BIOL SYSTEMI
[14]   Network biology:: Understanding the cell's functional organization [J].
Barabási, AL ;
Oltvai, ZN .
NATURE REVIEWS GENETICS, 2004, 5 (02) :101-U15
[15]   Strategies for the physiome project [J].
Bassingthwaighte, JB .
ANNALS OF BIOMEDICAL ENGINEERING, 2000, 28 (08) :1043-1058
[16]   Scale divergence and differentiability [J].
Ben Adda, F ;
Cresson, J .
COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE I-MATHEMATIQUE, 2000, 330 (04) :261-264
[17]   Synthetic biology [J].
Benner, SA ;
Sismour, AM .
NATURE REVIEWS GENETICS, 2005, 6 (07) :533-543
[18]  
*BIOUML, 2006, OP SOURC EXT WORKB S
[19]   Noise in eukaryotic gene expression [J].
Blake, WJ ;
Kærn, M ;
Cantor, CR ;
Collins, JJ .
NATURE, 2003, 422 (6932) :633-637
[20]   Interlinked fast and slow positive feedback loops drive reliable cell decisions [J].
Brandman, O ;
Ferrett, JE ;
Li, R ;
Meyer, T .
SCIENCE, 2005, 310 (5747) :496-498