Current advances in systems and integrative biology

Robinson, S. W., Fernandes, M. and Husi, H. (2014) Current advances in systems and integrative biology. Computational and Structural Biotechnology Journal, 11(18), pp. 35-46. (doi:10.1016/j.csbj.2014.08.007)

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Publisher's URL: http://dx.doi.org/10.1016/j.csbj.2014.08.007

Abstract

Systems biology has gained a tremendous amount of interest in the last few years. This is partly due to the realization that traditional approaches focusing only on a few molecules at a time cannot describe the impact of aberrant or modulated molecular environments across a whole system. Furthermore, a hypothesis-driven study aims to prove or disprove its postulations, whereas a hypothesis-free systems approach can yield an unbiased and novel testable hypothesis as an end-result. This latter approach foregoes assumptions which predict how a biological system should react to an altered microenvironment within a cellular context, across a tissue or impacting on distant organs. Additionally, re-use of existing data by systematic data mining and re-stratification, one of the cornerstones of integrative systems biology, is also gaining attention. While tremendous efforts using a systems methodology have already yielded excellent results, it is apparent that a lack of suitable analytic tools and purpose-built databases poses a major bottleneck in applying a systematic workflow. This review addresses the current approaches used in systems analysis and obstacles often encountered in large-scale data analysis and integration which tend to go unnoticed, but have a direct impact on the final outcome of a systems approach. Its wide applicability, ranging from basic research, disease descriptors, pharmacological studies, to personalized medicine, makes this emerging approach well suited to address biological and medical questions where conventional methods are not ideal.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fernandes, Mr Marco and Husi, Dr Holger and Robinson, Mr Scott
Authors: Robinson, S. W., Fernandes, M., and Husi, H.
College/School:College of Medical Veterinary and Life Sciences > Institute of Cardiovascular and Medical Sciences
Journal Name:Computational and Structural Biotechnology Journal
Publisher:Elsevier
ISSN:2001-0370
Copyright Holders:Copyright © 2014 The Authors
First Published:First published in Computational and Structural Biotechnology Journal 11(18):35-46
Publisher Policy:Reproduced under a Creative Commons License

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