Literature DB >> 16083265

Place of pattern in proteomic biomarker discovery.

Michael A Gillette1, D R Mani, Steven A Carr.   

Abstract

The role of pattern in biomarker discovery and clinical diagnosis is examined in its historical context. The use of MS-derived pattern is treated as a logical extension of prior applications of non-MS-derived pattern. Criticisms pertaining to specific technology platforms and analytic methodologies are considered separately from the larger issues of pattern utility and deployment in biomarker discovery. We present a hybrid strategy that marries the desirable attributes of high-information content MS pattern with the capability to obtain identity, and explore the key steps in establishing a data analysis pipeline for pattern-based biomarker discovery.

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Year:  2005        PMID: 16083265     DOI: 10.1021/pr0500962

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  23 in total

1.  SELDI-TOF derived serum biomarkers failed to differentiate between patients with beryllium sensitisation and patients with chronic beryllium disease.

Authors:  B C Tooker; R P Bowler; J M Orcutt; L A Maier; H M Christensen; L S Newman
Journal:  Occup Environ Med       Date:  2011-01-27       Impact factor: 4.402

2.  Differential exoprotease activities confer tumor-specific serum peptidome patterns.

Authors:  Josep Villanueva; David R Shaffer; John Philip; Carlos A Chaparro; Hediye Erdjument-Bromage; Adam B Olshen; Martin Fleisher; Hans Lilja; Edi Brogi; Jeff Boyd; Marta Sanchez-Carbayo; Eric C Holland; Carlos Cordon-Cardo; Howard I Scher; Paul Tempst
Journal:  J Clin Invest       Date:  2006-01       Impact factor: 14.808

3.  Spatial mapping of protein abundances in the mouse brain by voxelation integrated with high-throughput liquid chromatography-mass spectrometry.

Authors:  Vladislav A Petyuk; Wei-Jun Qian; Mark H Chin; Haixing Wang; Eric A Livesay; Matthew E Monroe; Joshua N Adkins; Navdeep Jaitly; David J Anderson; David G Camp; Desmond J Smith; Richard D Smith
Journal:  Genome Res       Date:  2007-01-25       Impact factor: 9.043

4.  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

5.  An insight into high-resolution mass-spectrometry data.

Authors:  J E Eckel-Passow; A L Oberg; T M Therneau; H R Bergen
Journal:  Biostatistics       Date:  2009-03-26       Impact factor: 5.899

Review 6.  Image analysis tools and emerging algorithms for expression proteomics.

Authors:  Andrew W Dowsey; Jane A English; Frederique Lisacek; Jeffrey S Morris; Guang-Zhong Yang; Michael J Dunn
Journal:  Proteomics       Date:  2010-12       Impact factor: 3.984

Review 7.  Challenges for biomarker discovery in body fluids using SELDI-TOF-MS.

Authors:  Muriel De Bock; Dominique de Seny; Marie-Alice Meuwis; Jean-Paul Chapelle; Edouard Louis; Michel Malaise; Marie-Paule Merville; Marianne Fillet
Journal:  J Biomed Biotechnol       Date:  2009-12-06

8.  Application of mass spectrometry-based proteomics for biomarker discovery in neurological disorders.

Authors:  Abhilash Venugopal; Raghothama Chaerkady; Akhilesh Pandey
Journal:  Ann Indian Acad Neurol       Date:  2009-01       Impact factor: 1.383

9.  Analysis of post-operative changes in serum protein expression profiles from colorectal cancer patients by MALDI-TOF mass spectrometry: a pilot methodological study.

Authors:  Christopher C L Liao; Anuja Mehta; Nicholas J Ward; Simon Marsh; Tan Arulampalam; John D Norton
Journal:  World J Surg Oncol       Date:  2010-04-26       Impact factor: 2.754

10.  Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.

Authors:  Mi-Youn Brusniak; Bernd Bodenmiller; David Campbell; Kelly Cooke; James Eddes; Andrew Garbutt; Hollis Lau; Simon Letarte; Lukas N Mueller; Vagisha Sharma; Olga Vitek; Ning Zhang; Ruedi Aebersold; Julian D Watts
Journal:  BMC Bioinformatics       Date:  2008-12-16       Impact factor: 3.169

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