Literature DB >> 18241195

Case-control breast cancer study of MALDI-TOF proteomic mass spectrometry data on serum samples.

Martijn P J van der Werff1, Bart Mertens, Mirre E de Noo, Marco R Bladergroen, Hans C Dalebout, Rob A E M Tollenaar, Andre M Deelder.   

Abstract

We introduce mass spectrometry proteomic research for diagnosis from a clinical perspective, with special reference to early-stage breast cancer detection. The nature of SELDI and MALDI mass spectrometric measurement is discussed. We explain how the mass spectral data arising from this technology may be viewed as a new data type. Some of the properties of the data are discussed and we show how such spectra may be interpreted. Sample preprocessing for mass spectrometry is introduced and a literature review of research in clinical proteomics is presented. Finally, we provide a detailed description of the study design on the breast cancer case-control study which is investigated in this special issue.

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Year:  2008        PMID: 18241195     DOI: 10.2202/1544-6115.1352

Source DB:  PubMed          Journal:  Stat Appl Genet Mol Biol        ISSN: 1544-6115


  2 in total

1.  Combination approaches improve predictive performance of diagnostic rules for mass-spectrometry proteomic data.

Authors:  Alexia Kakourou; Werner Vach; Bart Mertens
Journal:  J Comput Biol       Date:  2014-12       Impact factor: 1.479

2.  Biomarker discovery and redundancy reduction towards classification using a multi-factorial MALDI-TOF MS T2DM mouse model dataset.

Authors:  Chris Bauer; Frank Kleinjung; Celia J Smith; Mark W Towers; Ali Tiss; Alexandra Chadt; Tanja Dreja; Dieter Beule; Hadi Al-Hasani; Knut Reinert; Johannes Schuchhardt; Rainer Cramer
Journal:  BMC Bioinformatics       Date:  2011-05-09       Impact factor: 3.169

  2 in total

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