Network Analysis in the Investigation of Chronic Respiratory Diseases

被引:42
作者
Diez, Diego [1 ]
Agusti, Alvar [2 ]
Wheelock, Craig E. [3 ]
机构
[1] Osaka Univ, World Premier Int Immunol Frontier Res Ctr, Quantitat Immunol Res Unit, Osaka, Japan
[2] Univ Barcelona, Thorax Inst, Hosp Clin, Inst Invest Biomed August Pi & Sunyer IDIBAPS,Ctr, Madrid, Spain
[3] Karolinska Inst, Dept Med Biochem & Biophys, Div Physiol Chem 2, Stockholm, Sweden
关键词
systems biology; systems medicine; protein-protein interaction network; signaling network; gene regulatory network; TRANSCRIPTIONAL REGULATORY MODULES; SYSTEMS BIOLOGY; MEDICINE; LUNG; GENE; SOFTWARE; BIOINFORMATICS; CYTOSCAPE; FIBROSIS; PACKAGE;
D O I
10.1164/rccm.201403-0421PP
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Chronic respiratory diseases are complex multifactorial disorders whose pathogenesis depends on the interplay between host and environmental factors. To fully understand them and to identify novel treatments, a holistic approach that integrates multiple types and levels of clinical and biological data is necessary. Toward this end, the application of systems biology-based strategies, in particular, network analysis, offers great potential. These systems-based approaches rely heavily on computational methods that can be challenging for the nonspecialist. Accordingly, this Pulmonary Perspective: (1) outlines the basic concepts of networks in biology and the fundamentals of network analysis, and (2) discusses recent applications of network analysis to understand respiratory diseases. The intent of this Perspective is to provide readers with increased understanding of the strengths and weaknesses of network analysis methods as well as their usefulness in addressing research questions involving chronic respiratory diseases.
引用
收藏
页码:981 / 988
页数:8
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