Literature DB >> 11906005

ProteinChip clinical proteomics: computational challenges and solutions.

Eric T Fung1, Cynthia Enderwick.   

Abstract

ProteinChip technology, a suite of analytical tools that includes retentate chromatography, on-chip protein characterization, and multivariate analysis, allows researchers to examine patterns ofprotein expression and modification. Based on the surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) approach, ProteinChip technology has been pioneered by researchers at Ciphergen Biosystems (Fremont, CA, USA), as well as by users of Ciphergen's commercial embodiment of this technology the ProteinChip Biomarker System. This report will begin with a background of the technology and describe its applications in clinical proteomics and will then conclude with a discussion of tools and strategies to mine the large amounts of data generated during the course of a typical clinical proteomics study.

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Year:  2002        PMID: 11906005

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  25 in total

1.  Enhancement of sensitivity and resolution of surface-enhanced laser desorption/ionization time-of-flight mass spectrometric records for serum peptides using time-series analysis techniques.

Authors:  Dariya I Malyarenko; William E Cooke; Bao-Ling Adam; Gunjan Malik; Haijian Chen; Eugene R Tracy; Michael W Trosset; Maciek Sasinowski; O John Semmes; Dennis M Manos
Journal:  Clin Chem       Date:  2004-11-18       Impact factor: 8.327

Review 2.  Molecular screening of cancer: the future is here.

Authors:  Sudhir Srivastava
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

3.  Optimization of MALDI-TOF MS detection for enhanced sensitivity of affinity-captured proteins spanning a 100 kDa mass range.

Authors:  Christine L Gatlin-Bunai; Lisa H Cazares; William E Cooke; Oliver J Semmes; Dariya I Malyarenko
Journal:  J Proteome Res       Date:  2007-10-05       Impact factor: 4.466

4.  Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data.

Authors:  Alejandro Cruz-Marcelo; Rudy Guerra; Marina Vannucci; Yiting Li; Ching C Lau; Tsz-Kwong Man
Journal:  Bioinformatics       Date:  2008-08-11       Impact factor: 6.937

5.  LC-MS Based Detection of Differential Protein Expression.

Authors:  Leepika Tuli; Habtom W Ressom
Journal:  J Proteomics Bioinform       Date:  2009-10-02

Review 6.  The role of proteomics in the diagnosis of chorioamnionitis and early-onset neonatal sepsis.

Authors:  Irina A Buhimschi; Catalin S Buhimschi
Journal:  Clin Perinatol       Date:  2010-06       Impact factor: 3.430

7.  Accurate peak list extraction from proteomic mass spectra for identification and profiling studies.

Authors:  Nicola Barbarini; Paolo Magni
Journal:  BMC Bioinformatics       Date:  2010-10-16       Impact factor: 3.169

8.  A novel preprocessing method using Hilbert Huang Transform for MALDI-TOF and SELDI-TOF mass spectrometry data.

Authors:  Li-Ching Wu; Hsin-Hao Chen; Jorng-Tzong Horng; Chen Lin; Norden E Huang; Yu-Che Cheng; Kuang-Fu Cheng
Journal:  PLoS One       Date:  2010-08-31       Impact factor: 3.240

9.  Proteomic analysis permits the identification of new biomarkers of arterial wall remodeling in hypertension.

Authors:  Sandrine Delbosc; Mounsif Haloui; Liliane Louedec; Morgan Dupuis; Myriam Cubizolles; Vladimir N Podust; Eric T Fung; Jean-Baptiste Michel; Olivier Meilhac
Journal:  Mol Med       Date:  2008 Jul-Aug       Impact factor: 6.354

10.  Reversible jump MCMC approach for peak identification for stroke SELDI mass spectrometry using mixture model.

Authors:  Yuan Wang; Xiaobo Zhou; Honghui Wang; King Li; Lixiu Yao; Stephen T C Wong
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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