Literature DB >> 18381899

Protein networks in disease.

Trey Ideker1, Roded Sharan.   

Abstract

During a decade of proof-of-principle analysis in model organisms, protein networks have been used to further the study of molecular evolution, to gain insight into the robustness of cells to perturbation, and for assignment of new protein functions. Following these analyses, and with the recent rise of protein interaction measurements in mammals, protein networks are increasingly serving as tools to unravel the molecular basis of disease. We review promising applications of protein networks to disease in four major areas: identifying new disease genes; the study of their network properties; identifying disease-related subnetworks; and network-based disease classification. Applications in infectious disease, personalized medicine, and pharmacology are also forthcoming as the available protein network information improves in quality and coverage.

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Year:  2008        PMID: 18381899      PMCID: PMC3863981          DOI: 10.1101/gr.071852.107

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  98 in total

1.  Physical network models.

Authors:  Chen-Hsiang Yeang; Trey Ideker; Tommi Jaakkola
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Review 2.  Modeling cellular machinery through biological network comparison.

Authors:  Roded Sharan; Trey Ideker
Journal:  Nat Biotechnol       Date:  2006-04       Impact factor: 54.908

3.  Efficient algorithms for detecting signaling pathways in protein interaction networks.

Authors:  Jacob Scott; Trey Ideker; Richard M Karp; Roded Sharan
Journal:  J Comput Biol       Date:  2006-03       Impact factor: 1.479

4.  Diffusion kernel-based logistic regression models for protein function prediction.

Authors:  Hyunju Lee; Zhidong Tu; Minghua Deng; Fengzhu Sun; Ting Chen
Journal:  OMICS       Date:  2006

5.  Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genes.

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Journal:  Am J Hum Genet       Date:  2006-04-25       Impact factor: 11.025

6.  A systems approach to mapping DNA damage response pathways.

Authors:  Christopher T Workman; H Craig Mak; Scott McCuine; Jean-Bosco Tagne; Maya Agarwal; Owen Ozier; Thomas J Begley; Leona D Samson; Trey Ideker
Journal:  Science       Date:  2006-05-19       Impact factor: 47.728

7.  A protein-protein interaction network for human inherited ataxias and disorders of Purkinje cell degeneration.

Authors:  Janghoo Lim; Tong Hao; Chad Shaw; Akash J Patel; Gábor Szabó; Jean-François Rual; C Joseph Fisk; Ning Li; Alex Smolyar; David E Hill; Albert-László Barabási; Marc Vidal; Huda Y Zoghbi
Journal:  Cell       Date:  2006-05-19       Impact factor: 41.582

Review 8.  A census of human cancer genes.

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Journal:  Nat Rev Cancer       Date:  2004-03       Impact factor: 60.716

9.  Global landscape of protein complexes in the yeast Saccharomyces cerevisiae.

Authors:  Nevan J Krogan; Gerard Cagney; Haiyuan Yu; Gouqing Zhong; Xinghua Guo; Alexandr Ignatchenko; Joyce Li; Shuye Pu; Nira Datta; Aaron P Tikuisis; Thanuja Punna; José M Peregrín-Alvarez; Michael Shales; Xin Zhang; Michael Davey; Mark D Robinson; Alberto Paccanaro; James E Bray; Anthony Sheung; Bryan Beattie; Dawn P Richards; Veronica Canadien; Atanas Lalev; Frank Mena; Peter Wong; Andrei Starostine; Myra M Canete; James Vlasblom; Samuel Wu; Chris Orsi; Sean R Collins; Shamanta Chandran; Robin Haw; Jennifer J Rilstone; Kiran Gandi; Natalie J Thompson; Gabe Musso; Peter St Onge; Shaun Ghanny; Mandy H Y Lam; Gareth Butland; Amin M Altaf-Ul; Shigehiko Kanaya; Ali Shilatifard; Erin O'Shea; Jonathan S Weissman; C James Ingles; Timothy R Hughes; John Parkinson; Mark Gerstein; Shoshana J Wodak; Andrew Emili; Jack F Greenblatt
Journal:  Nature       Date:  2006-03-22       Impact factor: 49.962

10.  Functional and topological characterization of protein interaction networks.

Authors:  Soon-Hyung Yook; Zoltán N Oltvai; Albert-László Barabási
Journal:  Proteomics       Date:  2004-04       Impact factor: 3.984

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  322 in total

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Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 2.  Proteome-wide prediction of protein-protein interactions from high-throughput data.

Authors:  Zhi-Ping Liu; Luonan Chen
Journal:  Protein Cell       Date:  2012-06-22       Impact factor: 14.870

3.  A quantitative approach to study indirect effects among disease proteins in the human protein interaction network.

Authors:  Thanh-Phuong Nguyen; Ferenc Jordán
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Review 4.  The genetics of multiple sclerosis: an up-to-date review.

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Journal:  Immunol Rev       Date:  2012-07       Impact factor: 12.988

5.  Discovering hidden relationships between renal diseases and regulated genes through 3D network visualizations.

Authors:  Suresh K Bhavnani; Arunkumaar Ganesan; Theodore Hall; Eric Maslowski; Felix Eichinger; Sebastian Martini; Paul Saxman; Gowtham Bellala; Matthias Kretzler
Journal:  BMC Res Notes       Date:  2010-11-11

6.  Opportunities and challenges for nutritional proteomics in cancer prevention.

Authors:  Donato F Romagnolo; John A Milner
Journal:  J Nutr       Date:  2012-05-30       Impact factor: 4.798

Review 7.  Edgotype: a fundamental link between genotype and phenotype.

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Journal:  Curr Opin Genet Dev       Date:  2013-11-26       Impact factor: 5.578

Review 8.  Mechanisms of tumor resistance to EGFR-targeted therapies.

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Review 9.  Integrative approaches for finding modular structure in biological networks.

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10.  Pathway crosstalk analysis of microarray gene expression profile in human hepatocellular carcinoma.

Authors:  Xiaodong Zhou; Ruiguo Zheng; Huifang Zhang; Tianlin He
Journal:  Pathol Oncol Res       Date:  2014-12-06       Impact factor: 3.201

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