Edgetic Perturbation Models of Human Inherited Disorders

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Edgetic Perturbation Models of Human Inherited Disorders

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Title: Edgetic Perturbation Models of Human Inherited Disorders
Author: Simonis, Nicolas; Li, Qian-Ru; Heuze, Fabien; Klitgord, Niels; Tam, Stanley; Venkatesan, Kavitha; Mou, Danny; Swearingen, Venus; Yildirim, Muhammed A; Dricot, Amélie; Szeto, David; Lin, Chenwei; Hao, Tong; Fan, Changyu; Milstein, Stuart; Dupuy, Denis; Brasseur, Robert; Zhong, Quan; Charloteaux, Benoit; Yu, Haiyuan; Yan, Han; Hill, David E.; Cusick, Michael; Vidal, Marc

Note: Order does not necessarily reflect citation order of authors.

Citation: Zhong, Quan, Nicolas Simonis, Qian-Ru Li, Benoit Charloteaux, Fabien Heuze, Niels Klitgord, Stanley Tam, et al. 2009. Edgetic perturbation models of human inherited disorders. Molecular Systems Biology 5(1): 321.
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Abstract: Cellular functions are mediated through complex systems of macromolecules and metabolites linked through biochemical and physical interactions, represented in interactome models as ‘nodes' and ‘edges', respectively. Better understanding of genotype-to-phenotype relationships in human disease will require modeling of how disease-causing mutations affect systems or interactome properties. Here we investigate how perturbations of interactome networks may differ between complete loss of gene products (‘node removal') and interaction-specific or edge-specific (‘edgetic') alterations. Global computational analyses of ~50 000 known causative mutations in human Mendelian disorders revealed clear separations of mutations probably corresponding to those of node removal versus edgetic perturbations. Experimental characterization of mutant alleles in various disorders identified diverse edgetic interaction profiles of mutant proteins, which correlated with distinct structural properties of disease proteins and disease mechanisms. Edgetic perturbations seem to confer distinct functional consequences from node removal because a large fraction of cases in which a single gene is linked to multiple disorders can be modeled by distinguishing edgetic network perturbations. Edgetic network perturbation models might improve both the understanding of dissemination of disease alleles in human populations and the development of molecular therapeutic strategies.
Published Version: doi://10.1038/msb.2009.80
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795474/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4908056
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