Literature DB >> 17005391

Coevolution, modularity and human disease.

Hunter B Fraser1.   

Abstract

The concepts of coevolution and modularity have been studied separately for decades. Recent advances in genomics have led to the first systematic studies in each of these fields at the molecular level, resulting in several important discoveries. Both coevolution and modularity appear to be pervasive features of genomic data from all species studied to date, and their presence can be detected in many types of datasets, including genome sequences, gene expression data, and protein-protein interaction data. Moreover, the combination of these two ideas might have implications for our understanding of many aspects of biology, ranging from the general architecture of living systems to the causes of various human diseases.

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Year:  2006        PMID: 17005391     DOI: 10.1016/j.gde.2006.09.001

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  5 in total

1.  A systems biology approach for the investigation of the heparin/heparan sulfate interactome.

Authors:  Alessandro Ori; Mark C Wilkinson; David G Fernig
Journal:  J Biol Chem       Date:  2011-03-30       Impact factor: 5.157

2.  Variations in the progranulin gene affect global gene expression in frontotemporal lobar degeneration.

Authors:  Alice S Chen-Plotkin; Felix Geser; Joshua B Plotkin; Chris M Clark; Linda K Kwong; Wuxing Yuan; Murray Grossman; Vivianna M Van Deerlin; John Q Trojanowski; Virginia M-Y Lee
Journal:  Hum Mol Genet       Date:  2008-01-25       Impact factor: 6.150

3.  Cancer core modules identification through genomic and transcriptomic changes correlation detection at network level.

Authors:  Wenting Li; Rui Wang; Linfu Bai; Zhangming Yan; Zhirong Sun
Journal:  BMC Syst Biol       Date:  2012-06-12

4.  Protein localization as a principal feature of the etiology and comorbidity of genetic diseases.

Authors:  Solip Park; Jae-Seong Yang; Young-Eun Shin; Juyong Park; Sung Key Jang; Sanguk Kim
Journal:  Mol Syst Biol       Date:  2011-05-24       Impact factor: 11.429

5.  Modular co-evolution of metabolic networks.

Authors:  Jing Zhao; Guo-Hui Ding; Lin Tao; Hong Yu; Zhong-Hao Yu; Jian-Hua Luo; Zhi-Wei Cao; Yi-Xue Li
Journal:  BMC Bioinformatics       Date:  2007-08-27       Impact factor: 3.169

  5 in total

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