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Statistical detection of differentially abundant ions in mass spectrometry-based imaging experiments with complex designs
Northeastern Univ, Coll Comp & Informat Sci, Boston, MA 02115 USA.
Northeastern Univ, Coll Comp & Informat Sci, Boston, MA 02115 USA.
Purdue Univ, Dept Stat, W Lafayette, IN 47907 USA;Northeastern Univ, Coll Sci, Boston, MA 02115 USA.
Pacific Northwest Natl Lab, Richland, WA USA.
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2019 (English)In: International Journal of Mass Spectrometry, ISSN 1387-3806, E-ISSN 1873-2798, Vol. 437, p. 49-57Article in journal (Refereed) Published
Abstract [en]

Mass Spectrometry Imaging (MSI) characterizes changes in chemical composition between regions of biological samples such as tissues. One goal of statistical analysis of MSI experiments is class comparison, i.e. determining analytes that change in abundance between conditions more systematically than as expected by random variation. To reach accurate and reproducible conclusions, statistical analysis must appropriately reflect the initial research question, the design of the MSI experiment, and all the associated sources of variation. This manuscript highlights the importance of following these general statistical principles. Using the example of two case studies with complex experimental designs, and with different strategies of data acquisition, we demonstrate the extent to which choices made at key points of this workflow impact the results, and provide suggestions for appropriate design and analysis of MSI experiments that aim at detecting differentially abundant analytes. (C) 2018 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2019. Vol. 437, p. 49-57
Keywords [en]
Mass spectrometry imaging, Nano-DESI MSI, DESI MSI, Experimental design, Statistical analysis, Spatial statistics
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:uu:diva-377202DOI: 10.1016/j.ijms.2018.07.006ISI: 000456800900008OAI: oai:DiVA.org:uu-377202DiVA, id: diva2:1291546
Funder
Swedish Research CouncilSwedish Foundation for Strategic Research Available from: 2019-02-25 Created: 2019-02-25 Last updated: 2019-02-25Bibliographically approved

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Lanekoff, Ingela

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