Literature DB >> 16955530

Peak quantification in surface-enhanced laser desorption/ionization by using mixture models.

Martijn Dijkstra1, Han Roelofsen, Roel J Vonk, Ritsert C Jansen.   

Abstract

Surface-enhanced laser desorption/ionization (SELDI) time of flight (TOF) is a mass spectrometry technology for measuring the composition of a sampled protein mixture. A mass spectrum contains peaks corresponding to proteins in the sample. The peak areas are proportional to the measured concentrations of the corresponding proteins. Quantifying peak areas is difficult for existing methods because peak shapes are not constant across a spectrum and because peaks often overlap. We present a new method for quantifying peak areas. Our method decomposes a spectrum into peaks and a baseline using so-called statistical finite mixture models. We illustrate our method in detail on 8 samples from culture media of adipose tissue and globally on 64 samples from serum to compare our method to the standard Ciphergen method. Both methods give similar estimates for singleton peaks, but not for overlapping peaks. The Ciphergen method overestimates the heights of such peaks while our method still gives appropriate estimates. Peak quantification is an important step in pre-processing SELDI-TOF data and improvements therein will pay off in the later biomarker discovery phase.

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Year:  2006        PMID: 16955530     DOI: 10.1002/pmic.200600181

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  5 in total

1.  Partitioning the genetic diversity of a virus family: approach and evaluation through a case study of picornaviruses.

Authors:  Chris Lauber; Alexander E Gorbalenya
Journal:  J Virol       Date:  2012-01-25       Impact factor: 5.103

Review 2.  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

3.  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

4.  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

5.  Signal Partitioning Algorithm for Highly Efficient Gaussian Mixture Modeling in Mass Spectrometry.

Authors:  Andrzej Polanski; Michal Marczyk; Monika Pietrowska; Piotr Widlak; Joanna Polanska
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

  5 in total

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