Literature DB >> 15163364

Back to the biology in systems biology: what can we learn from biomolecular networks?

Sui Huang1.   

Abstract

Genome-scale molecular networks, including protein interaction and gene regulatory networks, have taken centre stage in the investigation of the burgeoning disciplines of systems biology and biocomplexity. What do networks tell us? Some see in networks simply the comprehensive, detailed description of all cellular pathways, others seek in networks simple, higher-order qualities that emerge from the collective action of the individual pathways. This paper discusses networks from an encompassing category of thinking that will hopefully help readers to bridge the gap between these polarised viewpoints. Systems biology so far has emphasised the characterisation of large pathway maps. Now one has to ask: where is the actual biology in 'systems biology'? As structures midway between genome and phenome, and by serving as an 'extended genotype' or an 'elementary phenotype', molecular networks open a new window to the study of evolution and gene function in complex living systems. For the study of evolution, features in network topology offer a novel starting point for addressing the old debate on the relative contributions of natural selection versus intrinsic constraints to a particular trait. To study the function of genes, it is necessary not only to see them in the context of gene networks, but also to reach beyond describing network topology and to embrace the global dynamics of networks that will reveal higher-order, collective behaviour of the interacting genes. This will pave the way to understanding how the complexity of genome-wide molecular networks collapses to produce a robust whole-cell behaviour that manifests as tightly-regulated switching between distinct cell fates - the basis for multicellular life.

Mesh:

Year:  2004        PMID: 15163364     DOI: 10.1093/bfgp/2.4.279

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  30 in total

Review 1.  Tools for protein-protein interaction network analysis in cancer research.

Authors:  Rebeca Sanz-Pamplona; Antoni Berenguer; Xavier Sole; David Cordero; Marta Crous-Bou; Jordi Serra-Musach; Elisabet Guinó; Miguel Ángel Pujana; Víctor Moreno
Journal:  Clin Transl Oncol       Date:  2012-01       Impact factor: 3.405

2.  Towards unraveling ethanol-specific neuro-metabolomics based on ethanol responsive genes in vivo.

Authors:  Raihan K Uddin; Julie A Treadwell; Shiva M Singh
Journal:  Neurochem Res       Date:  2005-09       Impact factor: 3.996

Review 3.  Systems biology of stem cells: three useful perspectives to help overcome the paradigm of linear pathways.

Authors:  Sui Huang
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-08-12       Impact factor: 6.237

4.  Network modelling of gene regulation.

Authors:  Joshua W K Ho; Michael A Charleston
Journal:  Biophys Rev       Date:  2010-12-23

Review 5.  Online tools for bioinformatics analyses in nutrition sciences.

Authors:  Sridhar A Malkaram; Yousef I Hassan; Janos Zempleni
Journal:  Adv Nutr       Date:  2012-09-01       Impact factor: 8.701

6.  Functional brain networks: great expectations, hard times and the big leap forward.

Authors:  David Papo; Massimiliano Zanin; José Angel Pineda-Pardo; Stefano Boccaletti; Javier M Buldú
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-10-05       Impact factor: 6.237

7.  Systems biology: the next frontier for bioinformatics.

Authors:  Vladimir A Likić; Malcolm J McConville; Trevor Lithgow; Antony Bacic
Journal:  Adv Bioinformatics       Date:  2011-02-09

8.  Specialized or flexible feed-forward loop motifs: a question of topology.

Authors:  Javier Macía; Stefanie Widder; Ricard Solé
Journal:  BMC Syst Biol       Date:  2009-08-31

Review 9.  Complexity in cancer biology: is systems biology the answer?

Authors:  Evangelia Koutsogiannouli; Athanasios G Papavassiliou; Nikolaos A Papanikolaou
Journal:  Cancer Med       Date:  2013-02-17       Impact factor: 4.452

10.  Topological effects of data incompleteness of gene regulatory networks.

Authors:  Joaquin Sanz; Emanuele Cozzo; Javier Borge-Holthoefer; Yamir Moreno
Journal:  BMC Syst Biol       Date:  2012-08-25
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