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Imaging mass spectrometry statistical analysis.

Authors
  • Jones, Emrys A1
  • Deininger, Sören-Oliver2
  • Hogendoorn, Pancras C W3
  • Deelder, André M1
  • McDonnell, Liam A4
  • 1 Biomolecular Mass Spectrometry Unit, Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands. , (Netherlands)
  • 2 Bruker Daltonic GmbH, Bremen, Germany. , (Germany)
  • 3 Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands. , (Netherlands)
  • 4 Biomolecular Mass Spectrometry Unit, Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands. Electronic address: [email protected] , (Netherlands)
Type
Published Article
Journal
Journal of proteomics
Publication Date
Aug 30, 2012
Volume
75
Issue
16
Pages
4962–4989
Identifiers
DOI: 10.1016/j.jprot.2012.06.014
PMID: 22743164
Source
Medline
Language
English
License
Unknown

Abstract

Imaging mass spectrometry is increasingly used to identify new candidate biomarkers. This clinical application of imaging mass spectrometry is highly multidisciplinary: expertise in mass spectrometry is necessary to acquire high quality data, histology is required to accurately label the origin of each pixel's mass spectrum, disease biology is necessary to understand the potential meaning of the imaging mass spectrometry results, and statistics to assess the confidence of any findings. Imaging mass spectrometry data analysis is further complicated because of the unique nature of the data (within the mass spectrometry field); several of the assumptions implicit in the analysis of LC-MS/profiling datasets are not applicable to imaging. The very large size of imaging datasets and the reporting of many data analysis routines, combined with inadequate training and accessible reviews, have exacerbated this problem. In this paper we provide an accessible review of the nature of imaging data and the different strategies by which the data may be analyzed. Particular attention is paid to the assumptions of the data analysis routines to ensure that the reader is apprised of their correct usage in imaging mass spectrometry research. Copyright © 2012 Elsevier B.V. All rights reserved.

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