Literature DB >> 21164525

Network medicine: a network-based approach to human disease.

Albert-László Barabási1, Natali Gulbahce, Joseph Loscalzo.   

Abstract

Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular and intercellular network that links tissue and organ systems. The emerging tools of network medicine offer a platform to explore systematically not only the molecular complexity of a particular disease, leading to the identification of disease modules and pathways, but also the molecular relationships among apparently distinct (patho)phenotypes. Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.

Entities:  

Mesh:

Year:  2011        PMID: 21164525      PMCID: PMC3140052          DOI: 10.1038/nrg2918

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  97 in total

1.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

2.  Discovering disease-genes by topological features in human protein-protein interaction network.

Authors:  Jianzhen Xu; Yongjin Li
Journal:  Bioinformatics       Date:  2006-09-05       Impact factor: 6.937

3.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

4.  An invitation to the marriage of metagenomics and metabolomics.

Authors:  Peter J Turnbaugh; Jeffrey I Gordon
Journal:  Cell       Date:  2008-09-05       Impact factor: 41.582

Review 5.  Protein networks in disease.

Authors:  Trey Ideker; Roded Sharan
Journal:  Genome Res       Date:  2008-04       Impact factor: 9.043

6.  Optimal drug combinations and minimal hitting sets.

Authors:  Alexei Vazquez
Journal:  BMC Syst Biol       Date:  2009-08-06

7.  Network modeling links breast cancer susceptibility and centrosome dysfunction.

Authors:  Miguel Angel Pujana; Jing-Dong J Han; Lea M Starita; Kristen N Stevens; Muneesh Tewari; Jin Sook Ahn; Gad Rennert; Víctor Moreno; Tomas Kirchhoff; Bert Gold; Volker Assmann; Wael M Elshamy; Jean-François Rual; Douglas Levine; Laura S Rozek; Rebecca S Gelman; Kristin C Gunsalus; Roger A Greenberg; Bijan Sobhian; Nicolas Bertin; Kavitha Venkatesan; Nono Ayivi-Guedehoussou; Xavier Solé; Pilar Hernández; Conxi Lázaro; Katherine L Nathanson; Barbara L Weber; Michael E Cusick; David E Hill; Kenneth Offit; David M Livingston; Stephen B Gruber; Jeffrey D Parvin; Marc Vidal
Journal:  Nat Genet       Date:  2007-10-07       Impact factor: 38.330

8.  The transcriptional landscape of the mammalian genome.

Authors:  P Carninci; T Kasukawa; S Katayama; J Gough; M C Frith; N Maeda; R Oyama; T Ravasi; B Lenhard; C Wells; R Kodzius; K Shimokawa; V B Bajic; S E Brenner; S Batalov; A R R Forrest; M Zavolan; M J Davis; L G Wilming; V Aidinis; J E Allen; A Ambesi-Impiombato; R Apweiler; R N Aturaliya; T L Bailey; M Bansal; L Baxter; K W Beisel; T Bersano; H Bono; A M Chalk; K P Chiu; V Choudhary; A Christoffels; D R Clutterbuck; M L Crowe; E Dalla; B P Dalrymple; B de Bono; G Della Gatta; D di Bernardo; T Down; P Engstrom; M Fagiolini; G Faulkner; C F Fletcher; T Fukushima; M Furuno; S Futaki; M Gariboldi; P Georgii-Hemming; T R Gingeras; T Gojobori; R E Green; S Gustincich; M Harbers; Y Hayashi; T K Hensch; N Hirokawa; D Hill; L Huminiecki; M Iacono; K Ikeo; A Iwama; T Ishikawa; M Jakt; A Kanapin; M Katoh; Y Kawasawa; J Kelso; H Kitamura; H Kitano; G Kollias; S P T Krishnan; A Kruger; S K Kummerfeld; I V Kurochkin; L F Lareau; D Lazarevic; L Lipovich; J Liu; S Liuni; S McWilliam; M Madan Babu; M Madera; L Marchionni; H Matsuda; S Matsuzawa; H Miki; F Mignone; S Miyake; K Morris; S Mottagui-Tabar; N Mulder; N Nakano; H Nakauchi; P Ng; R Nilsson; S Nishiguchi; S Nishikawa; F Nori; O Ohara; Y Okazaki; V Orlando; K C Pang; W J Pavan; G Pavesi; G Pesole; N Petrovsky; S Piazza; J Reed; J F Reid; B Z Ring; M Ringwald; B Rost; Y Ruan; S L Salzberg; A Sandelin; C Schneider; C Schönbach; K Sekiguchi; C A M Semple; S Seno; L Sessa; Y Sheng; Y Shibata; H Shimada; K Shimada; D Silva; B Sinclair; S Sperling; E Stupka; K Sugiura; R Sultana; Y Takenaka; K Taki; K Tammoja; S L Tan; S Tang; M S Taylor; J Tegner; S A Teichmann; H R Ueda; E van Nimwegen; R Verardo; C L Wei; K Yagi; H Yamanishi; E Zabarovsky; S Zhu; A Zimmer; W Hide; C Bult; S M Grimmond; R D Teasdale; E T Liu; V Brusic; J Quackenbush; C Wahlestedt; J S Mattick; D A Hume; C Kai; D Sasaki; Y Tomaru; S Fukuda; M Kanamori-Katayama; M Suzuki; J Aoki; T Arakawa; J Iida; K Imamura; M Itoh; T Kato; H Kawaji; N Kawagashira; T Kawashima; M Kojima; S Kondo; H Konno; K Nakano; N Ninomiya; T Nishio; M Okada; C Plessy; K Shibata; T Shiraki; S Suzuki; M Tagami; K Waki; A Watahiki; Y Okamura-Oho; H Suzuki; J Kawai; Y Hayashizaki
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

9.  Cost-effective strategies for completing the interactome.

Authors:  Ariel S Schwartz; Jingkai Yu; Kyle R Gardenour; Russell L Finley; Trey Ideker
Journal:  Nat Methods       Date:  2008-12-14       Impact factor: 28.547

10.  The Edinburgh human metabolic network reconstruction and its functional analysis.

Authors:  Hongwu Ma; Anatoly Sorokin; Alexander Mazein; Alex Selkov; Evgeni Selkov; Oleg Demin; Igor Goryanin
Journal:  Mol Syst Biol       Date:  2007-09-18       Impact factor: 11.429

View more
  1511 in total

1.  Drug repositioning using disease associated biological processes and network analysis of drug targets.

Authors:  Sachin Mathur; Deendayal Dinakarpandian
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Some considerations about a report on 'Public health in an era of genomic-based and personalized medicine' from the Public Health Foundation, Cambridge.

Authors:  Jean-Jacques Cassiman
Journal:  J Community Genet       Date:  2011-02-19

3.  Community of protein complexes impacts disease association.

Authors:  Qianghu Wang; Weisha Liu; Shangwei Ning; Jingrun Ye; Teng Huang; Yan Li; Peng Wang; Hongbo Shi; Xia Li
Journal:  Eur J Hum Genet       Date:  2012-05-02       Impact factor: 4.246

4.  Diving through the "-omics": the case for deep phenotyping and systems epidemiology.

Authors:  Robin Haring; Henri Wallaschofski
Journal:  OMICS       Date:  2012-02-09

5.  Topological analysis and interactive visualization of biological networks and protein structures.

Authors:  Nadezhda T Doncheva; Yassen Assenov; Francisco S Domingues; Mario Albrecht
Journal:  Nat Protoc       Date:  2012-03-15       Impact factor: 13.491

6.  Large-scale analysis of disease pathways in the human interactome.

Authors:  Monica Agrawal; Marinka Zitnik; Jure Leskovec
Journal:  Pac Symp Biocomput       Date:  2018

7.  Integrated querying and version control of context-specific biological networks.

Authors:  Tyler Cowman; Mustafa Coşkun; Ananth Grama; Mehmet Koyutürk
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

8.  Downregulation of the acetyl-CoA metabolic network in adipose tissue of obese diabetic individuals and recovery after weight loss.

Authors:  Harish Dharuri; Peter A C 't Hoen; Jan B van Klinken; Peter Henneman; Jeroen F J Laros; Mirjam A Lips; Fatiha El Bouazzaoui; Gert-Jan B van Ommen; Ignace Janssen; Bert van Ramshorst; Bert A van Wagensveld; Hanno Pijl; Ko Willems van Dijk; Vanessa van Harmelen
Journal:  Diabetologia       Date:  2014-08-07       Impact factor: 10.122

9.  A Gateway between Omics Data and Systems Biology.

Authors:  Fabian V Filipp
Journal:  J Metabolomics Syst Biol       Date:  2013-11-01

10.  Large-scale proteomic analysis of Alzheimer's disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation.

Authors:  Erik C B Johnson; Eric B Dammer; Duc M Duong; Lingyan Ping; Maotian Zhou; Luming Yin; Lenora A Higginbotham; Andrew Guajardo; Bartholomew White; Juan C Troncoso; Madhav Thambisetty; Thomas J Montine; Edward B Lee; John Q Trojanowski; Thomas G Beach; Eric M Reiman; Vahram Haroutunian; Minghui Wang; Eric Schadt; Bin Zhang; Dennis W Dickson; Nilüfer Ertekin-Taner; Todd E Golde; Vladislav A Petyuk; Philip L De Jager; David A Bennett; Thomas S Wingo; Srikant Rangaraju; Ihab Hajjar; Joshua M Shulman; James J Lah; Allan I Levey; Nicholas T Seyfried
Journal:  Nat Med       Date:  2020-04-13       Impact factor: 53.440

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.