Literature DB >> 22439968

Mass spectrometry-based proteomics and network biology.

Ariel Bensimon1, Albert J R Heck, Ruedi Aebersold.   

Abstract

In the life sciences, a new paradigm is emerging that places networks of interacting molecules between genotype and phenotype. These networks are dynamically modulated by a multitude of factors, and the properties emerging from the network as a whole determine observable phenotypes. This paradigm is usually referred to as systems biology, network biology, or integrative biology. Mass spectrometry (MS)-based proteomics is a central life science technology that has realized great progress toward the identification, quantification, and characterization of the proteins that constitute a proteome. Here, we review how MS-based proteomics has been applied to network biology to identify the nodes and edges of biological networks, to detect and quantify perturbation-induced network changes, and to correlate dynamic network rewiring with the cellular phenotype. We discuss future directions for MS-based proteomics within the network biology paradigm.

Mesh:

Year:  2012        PMID: 22439968     DOI: 10.1146/annurev-biochem-072909-100424

Source DB:  PubMed          Journal:  Annu Rev Biochem        ISSN: 0066-4154            Impact factor:   23.643


  138 in total

1.  Interrogating cAMP-dependent kinase signaling in Jurkat T cells via a protein kinase A targeted immune-precipitation phosphoproteomics approach.

Authors:  Piero Giansanti; Matthew P Stokes; Jeffrey C Silva; Arjen Scholten; Albert J R Heck
Journal:  Mol Cell Proteomics       Date:  2013-07-23       Impact factor: 5.911

2.  Analysis of Monoclonal Antibody Sequence and Post-translational Modifications by Time-controlled Proteolysis and Tandem Mass Spectrometry.

Authors:  Lichao Zhang; A Michelle English; Dina L Bai; Scott A Ugrin; Jeffrey Shabanowitz; Mark M Ross; Donald F Hunt; Wei-Han Wang
Journal:  Mol Cell Proteomics       Date:  2015-11-29       Impact factor: 5.911

3.  MASH Suite Pro: A Comprehensive Software Tool for Top-Down Proteomics.

Authors:  Wenxuan Cai; Huseyin Guner; Zachery R Gregorich; Albert J Chen; Serife Ayaz-Guner; Ying Peng; Santosh G Valeja; Xiaowen Liu; Ying Ge
Journal:  Mol Cell Proteomics       Date:  2015-11-23       Impact factor: 5.911

4.  Rapid immunoprecipitation mass spectrometry of endogenous proteins (RIME) for analysis of chromatin complexes.

Authors:  Hisham Mohammed; Christopher Taylor; Gordon D Brown; Evaggelia K Papachristou; Jason S Carroll; Clive S D'Santos
Journal:  Nat Protoc       Date:  2016-01-21       Impact factor: 13.491

5.  Identification of direct tyrosine kinase substrates based on protein kinase assay-linked phosphoproteomics.

Authors:  Liang Xue; Robert L Geahlen; W Andy Tao
Journal:  Mol Cell Proteomics       Date:  2013-06-22       Impact factor: 5.911

Review 6.  Quantifying proteomes and their post-translational modifications by stable isotope label-based mass spectrometry.

Authors:  Anna E Merrill; Joshua J Coon
Journal:  Curr Opin Chem Biol       Date:  2013-07-05       Impact factor: 8.822

7.  Identification of extracellular signal-regulated kinase 1 (ERK1) direct substrates using stable isotope labeled kinase assay-linked phosphoproteomics.

Authors:  Liang Xue; Pengcheng Wang; Pianpian Cao; Jian-Kang Zhu; W Andy Tao
Journal:  Mol Cell Proteomics       Date:  2014-07-14       Impact factor: 5.911

Review 8.  A systems approach to infectious disease.

Authors:  Manon Eckhardt; Judd F Hultquist; Robyn M Kaake; Ruth Hüttenhain; Nevan J Krogan
Journal:  Nat Rev Genet       Date:  2020-02-14       Impact factor: 53.242

9.  A network-based comparative framework to study conservation and divergence of proteomes in plant phylogenies.

Authors:  Junha Shin; Harald Marx; Alicia Richards; Dries Vaneechoutte; Dhileepkumar Jayaraman; Junko Maeda; Sanhita Chakraborty; Michael Sussman; Klaas Vandepoele; Jean-Michel Ané; Joshua Coon; Sushmita Roy
Journal:  Nucleic Acids Res       Date:  2021-01-11       Impact factor: 16.971

Review 10.  Cerebrospinal fluid analysis in Alzheimer's disease: technical issues and future developments.

Authors:  Simone Lista; Henrik Zetterberg; Bruno Dubois; Kaj Blennow; Harald Hampel
Journal:  J Neurol       Date:  2014-05-08       Impact factor: 4.849

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