Literature DB >> 17118720

SELDI-TOF mass spectra: a view on sources of variation.

Martijn Dijkstra1, Roel J Vonk, Ritsert C Jansen.   

Abstract

Adequate interpretation of mass spectrometry data can yield valuable biomarkers. However, spectrum interpretation is a complicated task. This paper reviews the various factors that determine a sample's spectrum and demonstrates the role of these factors in the interpretation process. We derive a simulation model that adequately predicts the expected spectrum based on known sample content and, in the reverse mode, obtain an analysis model that adequately fits an observed spectrum based on the hypothesized sources of variation.

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Year:  2006        PMID： 17118720     DOI： 10.1016/j.jchromb.2006.11.004

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN： 1570-0232            Impact factor:   3.205


  11 in total

Review 1.  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 2.  Proteomics of human neurodegenerative diseases.

Authors:  Jing Zhang; C Dirk Keene; Catherine Pan; Kathleen S Montine; Thomas J Montine
Journal:  J Neuropathol Exp Neurol       Date:  2008-10       Impact factor: 3.685

Review 3.  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

4.  A study of the properties of Gaussian mixture model for stable isotope standard quantification in MALDI-TOF MS.

Authors:  John Christian G Spainhour; Michael G Janech; Viswanathan Ramakrishnan
Journal:  Commun Stat Simul Comput       Date:  2018-01-30       Impact factor: 1.118

5.  Proteomic biomarkers predicting lymph node involvement in serum of cervical cancer patients. Limitations of SELDI-TOF MS.

Authors:  Toon Van Gorp; Isabelle Cadron; Anneleen Daemen; Bart De Moor; Etienne Waelkens; Ignace Vergote
Journal:  Proteome Sci       Date:  2012-06-13       Impact factor: 2.480

6.  Quality measures of imaging mass spectrometry aids in revealing long-term striatal protein changes induced by neonatal exposure to the cyanobacterial toxin β-N-methylamino-L-alanine (BMAA).

Authors:  Oskar Karlsson; Jonas Bergquist; Malin Andersson
Journal:  Mol Cell Proteomics       Date:  2013-10-14       Impact factor: 5.911

7.  Analysis of mass spectrometry data using sub-spectra.

Authors:  Wouter Meuleman; Judith Y M N Engwegen; Marie-Christine W Gast; Lodewyk F A Wessels; Marcel J T Reinders
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

8.  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

9.  Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data.

Authors:  Wouter Meuleman; Judith Ymn Engwegen; Marie-Christine W Gast; Jos H Beijnen; Marcel Jt Reinders; Lodewyk Fa Wessels
Journal:  BMC Bioinformatics       Date:  2008-02-07       Impact factor: 3.169

10.  Investigation of serum protein profiles in scrapie infected sheep by means of SELDI-TOF-MS and multivariate data analysis.

Authors:  Siv Meling; Olav M Kvalheim; Reidar Arneberg; Kjetil Bårdsen; Anne Hjelle; Martha J Ulvund
Journal:  BMC Res Notes       Date:  2013-11-14
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