Literature DB >> 24197012

High-resolution network biology: connecting sequence with function.

Colm J Ryan1, Peter Cimermančič, Zachary A Szpiech, Andrej Sali, Ryan D Hernandez, Nevan J Krogan.   

Abstract

Proteins are not monolithic entities; rather, they can contain multiple domains that mediate distinct interactions, and their functionality can be regulated through post-translational modifications at multiple distinct sites. Traditionally, network biology has ignored such properties of proteins and has instead examined either the physical interactions of whole proteins or the consequences of removing entire genes. In this Review, we discuss experimental and computational methods to increase the resolution of protein-protein, genetic and drug-gene interaction studies to the domain and residue levels. Such work will be crucial for using interaction networks to connect sequence and structural information, and to understand the biological consequences of disease-associated mutations, which will hopefully lead to more effective therapeutic strategies.

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Mesh:

Year:  2013        PMID: 24197012      PMCID: PMC4023809          DOI: 10.1038/nrg3574

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


  161 in total

1.  Critical role for transcriptional repressor Snail2 in transformation by oncogenic RAS in colorectal carcinoma cells.

Authors:  Y Wang; V N Ngo; M Marani; Y Yang; G Wright; L M Staudt; J Downward
Journal:  Oncogene       Date:  2010-06-21       Impact factor: 9.867

2.  The three-dimensional folding of the α-globin gene domain reveals formation of chromatin globules.

Authors:  Davide Baù; Amartya Sanyal; Bryan R Lajoie; Emidio Capriotti; Meg Byron; Jeanne B Lawrence; Job Dekker; Marc A Marti-Renom
Journal:  Nat Struct Mol Biol       Date:  2010-12-05       Impact factor: 15.369

3.  Individual lysine acetylations on the N terminus of Saccharomyces cerevisiae H2A.Z are highly but not differentially regulated.

Authors:  Monika Mehta; Hannes Braberg; Shuyi Wang; Anita Lozsa; Michael Shales; Alejandra Solache; Nevan J Krogan; Michael-Christopher Keogh
Journal:  J Biol Chem       Date:  2010-10-14       Impact factor: 5.157

4.  Quantitative genetic interaction mapping using the E-MAP approach.

Authors:  Sean R Collins; Assen Roguev; Nevan J Krogan
Journal:  Methods Enzymol       Date:  2010-03-01       Impact factor: 1.600

Review 5.  It's the machine that matters: Predicting gene function and phenotype from protein networks.

Authors:  Peggy I Wang; Edward M Marcotte
Journal:  J Proteomics       Date:  2010-07-15       Impact factor: 4.044

6.  A map of human genome variation from population-scale sequencing.

Authors:  Gonçalo R Abecasis; David Altshuler; Adam Auton; Lisa D Brooks; Richard M Durbin; Richard A Gibbs; Matt E Hurles; Gil A McVean
Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

7.  An integrative multi-network and multi-classifier approach to predict genetic interactions.

Authors:  Gaurav Pandey; Bin Zhang; Aaron N Chang; Chad L Myers; Jun Zhu; Vipin Kumar; Eric E Schadt
Journal:  PLoS Comput Biol       Date:  2010-09-09       Impact factor: 4.475

8.  DOMINE: a comprehensive collection of known and predicted domain-domain interactions.

Authors:  Sailu Yellaboina; Asba Tasneem; Dmitri V Zaykin; Balaji Raghavachari; Raja Jothi
Journal:  Nucleic Acids Res       Date:  2010-11-27       Impact factor: 16.971

9.  The BioGRID Interaction Database: 2011 update.

Authors:  Chris Stark; Bobby-Joe Breitkreutz; Andrew Chatr-Aryamontri; Lorrie Boucher; Rose Oughtred; Michael S Livstone; Julie Nixon; Kimberly Van Auken; Xiaodong Wang; Xiaoqi Shi; Teresa Reguly; Jennifer M Rust; Andrew Winter; Kara Dolinski; Mike Tyers
Journal:  Nucleic Acids Res       Date:  2010-11-11       Impact factor: 16.971

10.  Cross-species chemogenomic profiling reveals evolutionarily conserved drug mode of action.

Authors:  Laura Kapitzky; Pedro Beltrao; Theresa J Berens; Nadine Gassner; Chunshui Zhou; Arthur Wüster; Julie Wu; M Madan Babu; Stephen J Elledge; David Toczyski; R Scott Lokey; Nevan J Krogan
Journal:  Mol Syst Biol       Date:  2010-12-21       Impact factor: 11.429

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  38 in total

1.  L-GRAAL: Lagrangian graphlet-based network aligner.

Authors:  Noël Malod-Dognin; Nataša Pržulj
Journal:  Bioinformatics       Date:  2015-02-28       Impact factor: 6.937

Review 2.  Vision from next generation sequencing: multi-dimensional genome-wide analysis for producing gene regulatory networks underlying retinal development, aging and disease.

Authors:  Hyun-Jin Yang; Rinki Ratnapriya; Tiziana Cogliati; Jung-Woong Kim; Anand Swaroop
Journal:  Prog Retin Eye Res       Date:  2015-02-07       Impact factor: 21.198

Review 3.  Personalized Therapy of Hypertension: the Past and the Future.

Authors:  Paolo Manunta; Mara Ferrandi; Daniele Cusi; Patrizia Ferrari; Jan Staessen; Giuseppe Bianchi
Journal:  Curr Hypertens Rep       Date:  2016-03       Impact factor: 5.369

4.  Functional geometry of protein interactomes.

Authors:  Noël Malod-Dognin; Nataša Pržulj
Journal:  Bioinformatics       Date:  2019-10-01       Impact factor: 6.937

Review 5.  Big data mining powers fungal research: recent advances in fission yeast systems biology approaches.

Authors:  Zhe Wang
Journal:  Curr Genet       Date:  2016-10-11       Impact factor: 3.886

6.  Genetic interaction analysis of point mutations enables interrogation of gene function at a residue-level resolution: exploring the applications of high-resolution genetic interaction mapping of point mutations.

Authors:  Hannes Braberg; Erica A Moehle; Michael Shales; Christine Guthrie; Nevan J Krogan
Journal:  Bioessays       Date:  2014-05-20       Impact factor: 4.345

7.  A new in vivo cross-linking mass spectrometry platform to define protein-protein interactions in living cells.

Authors:  Robyn M Kaake; Xiaorong Wang; Anthony Burke; Clinton Yu; Wynne Kandur; Yingying Yang; Eric J Novtisky; Tonya Second; Jicheng Duan; Athit Kao; Shenheng Guan; Danielle Vellucci; Scott D Rychnovsky; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2014-09-24       Impact factor: 5.911

8.  Regulostat Inferelator: a novel network biology platform to uncover molecular devices that predetermine cellular response phenotypes.

Authors:  Choong Yong Ung; Mehrab Ghanat Bari; Cheng Zhang; Jingjing Liang; Cristina Correia; Hu Li
Journal:  Nucleic Acids Res       Date:  2019-08-22       Impact factor: 16.971

Review 9.  Functional variomics and network perturbation: connecting genotype to phenotype in cancer.

Authors:  Song Yi; Shengda Lin; Yongsheng Li; Wei Zhao; Gordon B Mills; Nidhi Sahni
Journal:  Nat Rev Genet       Date:  2017-03-27       Impact factor: 53.242

10.  The Key Genes of Chronic Pancreatitis which Bridge Chronic Pancreatitis and Pancreatic Cancer Can be Therapeutic Targets.

Authors:  Shuang Li; Rui Li; Heping Wang; Lisha Li; Huiyu Li; Yulin Li
Journal:  Pathol Oncol Res       Date:  2017-04-24       Impact factor: 3.201

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