Literature DB >> 10786881

Proteomics: capacity versus utility.

J L Harry1, M R Wilkins, B R Herbert, N H Packer, A A Gooley, K L Williams.   

Abstract

Until recently scientists studied genes or proteins one at a time. With improvements in technology, new tools have become available to study the complex interactions that occur in biological systems. Global studies are required to do this, and these will involve genomic and proteomic approaches. High-throughput methods are necessary in each case because the number of genes and proteins in even the simplest of organisms are immense. In the developmental phase of genomics, the emphasis was on the generation and assembly of large amounts of nucleic acid sequence data. Proteomics is currently in a phase of technological development and establishment, and demonstrating the capacity for high throughput is a major challenge. However, funding bodies (both in the public and private sector) are increasingly focused on the usefulness of this capacity. Here we review the current state of proteome research in terms of capacity and utility.

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Year:  2000        PMID: 10786881     DOI: 10.1002/(SICI)1522-2683(20000401)21:6<1071::AID-ELPS1071>3.0.CO;2-M

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  19 in total

1.  Molecular diversity of rat brain proteins as revealed by proteomic analysis.

Authors:  Jae-Won Yang; Jean-François Juranville; Harald Höger; Michael Fountoulakis; Gert Lubec
Journal:  Mol Divers       Date:  2005       Impact factor: 2.943

2.  An impulse-driven liquid-droplet deposition interface for combining LC with MALDI MS and MS/MS.

Authors:  J Bryce Young; Liang Li
Journal:  J Am Soc Mass Spectrom       Date:  2006-01-27       Impact factor: 3.109

3.  Modulation of the host cell proteome by the intracellular apicomplexan parasite Toxoplasma gondii.

Authors:  M M Nelson; A R Jones; J C Carmen; A P Sinai; R Burchmore; J M Wastling
Journal:  Infect Immun       Date:  2007-10-29       Impact factor: 3.441

4.  Comparison of Listeria monocytogenes Exoproteomes from biofilm and planktonic state: Lmo2504, a protein associated with biofilms.

Authors:  António Lourenço; Aitor de Las Heras; Mariela Scortti; Jose Vazquez-Boland; Joseph F Frank; Luisa Brito
Journal:  Appl Environ Microbiol       Date:  2013-07-26       Impact factor: 4.792

5.  Pseudomonas aeruginosa displays multiple phenotypes during development as a biofilm.

Authors:  Karin Sauer; Anne K Camper; Garth D Ehrlich; J William Costerton; David G Davies
Journal:  J Bacteriol       Date:  2002-02       Impact factor: 3.490

6.  Biomarkers of lupus nephritis determined by serial urine proteomics.

Authors:  Xiaolan Zhang; Ming Jin; Haifeng Wu; Tibor Nadasdy; Gyongyi Nadasdy; Nathan Harris; Kari Green-Church; Haikady Nagaraja; Daniel J Birmingham; Chack-Yung Yu; Lee A Hebert; Brad H Rovin
Journal:  Kidney Int       Date:  2008-07-02       Impact factor: 10.612

7.  Inferring predominant pathways in cellular models of breast cancer using limited sample proteomic profiling.

Authors:  Yogesh M Kulkarni; Vivian Suarez; David J Klinke
Journal:  BMC Cancer       Date:  2010-06-15       Impact factor: 4.430

8.  Genomic and proteomic analysis of the effects of cannabinoids on normal human astrocytes.

Authors:  B Bindukumar; S D Mahajan; J L Reynolds; Z Hu; D E Sykes; R Aalinkeel; S A Schwartz
Journal:  Brain Res       Date:  2007-11-01       Impact factor: 3.252

9.  Proteome Profiling of Vitreoretinal Diseases by Cluster Analysis.

Authors:  Tomomi Shitama; Hideyuki Hayashi; Sumiyo Noge; Eiichi Uchio; Kenji Oshima; Hisao Haniu; Nobuaki Takemori; Naoka Komori; Hiroyuki Matsumoto
Journal:  Proteomics Clin Appl       Date:  2008-09       Impact factor: 3.494

10.  Interfacing capillary gel microfluidic chips with infrared laser desorption mass spectrometry.

Authors:  Yichuan Xu; Mark W Little; Kermit K Murray
Journal:  J Am Soc Mass Spectrom       Date:  2006-02-14       Impact factor: 3.109

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