Literature DB >> 14527327

Proteomics.

Heng Zhu1, Metin Bilgin, Michael Snyder.   

Abstract

Fueled by ever-growing DNA sequence information, proteomics-the large scale analysis of proteins-has become one of the most important disciplines for characterizing gene function, for building functional linkages between protein molecules, and for providing insight into the mechanisms of biological processes in a high-throughput mode. It is now possible to examine the expression of more than 1000 proteins using mass spectrometry technology coupled with various separation methods. High-throughput yeast two-hybrid approaches and analysis of protein complexes using affinity tag purification have yielded valuable protein-protein interaction maps. Large-scale protein tagging and subcellular localization projects have provided considerable information about protein function. Finally, recent developments in protein microarray technology provide a versatile tool to study protein-protein, protein-nucleic acid, protein-lipid, enzyme-substrate, and protein-drug interactions. Other types of microarrays, though not fully developed, also show great potential in diagnostics, protein profiling, and drug identification and validation. This review discusses high-throughput technologies for proteome analysis and their applications. Also discussed are the approaches used for the integrated analysis of the voluminous sets of data generated by proteome analysis conducted on a global scale.

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Year:  2003        PMID: 14527327     DOI: 10.1146/annurev.biochem.72.121801.161511

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


  58 in total

1.  Engineering of a phosphorylatable tag for specific protein binding on zirconium phosphonate based microarrays.

Authors:  Mathieu Cinier; Marc Petit; Frédéric Pecorari; Daniel R Talham; Bruno Bujoli; Charles Tellier
Journal:  J Biol Inorg Chem       Date:  2011-12-13       Impact factor: 3.358

Review 2.  The grand challenge to decipher the cancer proteome.

Authors:  Samir Hanash; Ayumu Taguchi
Journal:  Nat Rev Cancer       Date:  2010-09       Impact factor: 60.716

Review 3.  Analysis of sequence specificities of DNA-binding proteins with protein binding microarrays.

Authors:  Martha L Bulyk
Journal:  Methods Enzymol       Date:  2006       Impact factor: 1.600

4.  Analysis of self-associating proteins by singular value decomposition of solution scattering data.

Authors:  Tim E Williamson; Bruce A Craig; Elena Kondrashkina; Chris Bailey-Kellogg; Alan M Friedman
Journal:  Biophys J       Date:  2008-01-22       Impact factor: 4.033

5.  Exploring the energy profile of human IgG/rat anti-human IgG interactions by dynamic force spectroscopy.

Authors:  Zhengjian Lv; Jianhua Wang; Guoping Chen
Journal:  Protein J       Date:  2012-06       Impact factor: 2.371

Review 6.  Vaccinology in the genome era.

Authors:  C Daniela Rinaudo; John L Telford; Rino Rappuoli; Kate L Seib
Journal:  J Clin Invest       Date:  2009-09       Impact factor: 14.808

Review 7.  Glycosylation and other PTMs alterations in neurodegenerative diseases: Current status and future role in neurotrauma.

Authors:  Hussein Abou-Abbass; Hadi Abou-El-Hassan; Hisham Bahmad; Kazem Zibara; Abir Zebian; Rabab Youssef; Joy Ismail; Rui Zhu; Shiyue Zhou; Xue Dong; Mayse Nasser; Marwan Bahmad; Hala Darwish; Yehia Mechref; Firas Kobeissy
Journal:  Electrophoresis       Date:  2016-04-04       Impact factor: 3.535

8.  Orientation difference of chemically immobilized and physically adsorbed biological molecules on polymers detected at the solid/liquid interfaces in situ.

Authors:  Shuji Ye; Khoi Tan Nguyen; Andrew P Boughton; Charlene M Mello; Zhan Chen
Journal:  Langmuir       Date:  2010-05-04       Impact factor: 3.882

Review 9.  Yeast proteomics and protein microarrays.

Authors:  Rui Chen; Michael Snyder
Journal:  J Proteomics       Date:  2010-08-20       Impact factor: 4.044

Review 10.  The key role of genomics in modern vaccine and drug design for emerging infectious diseases.

Authors:  Kate L Seib; Gordon Dougan; Rino Rappuoli
Journal:  PLoS Genet       Date:  2009-10-26       Impact factor: 5.917

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