Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/66155
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Type: Journal article
Title: MALDI Imaging Mass Spectrometry (MALDI-IMS): application of spatial proteomics for ovarian cancer classification and diagnosis
Author: Gustafsson, O.
Oehler, M.
Ruszkiewicz, A.
McColl, S.
Hoffmann, P.
Citation: International Journal of Molecular Sciences, 2011; 12(1):773-794
Publisher: Molecular Diversity Preservation International (MDPI) AG.
Issue Date: 2011
ISSN: 1422-0067
1422-0067
Statement of
Responsibility: 
Johan O. R. Gustafsson, Martin K. Oehler, Andrew Ruszkiewicz, Shaun R. McColl and Peter Hoffmann
Abstract: MALDI imaging mass spectrometry (MALDI-IMS) allows acquisition of mass data for metabolites, lipids, peptides and proteins directly from tissue sections. IMS is typically performed either as a multiple spot profiling experiment to generate tissue specific mass profiles, or a high resolution imaging experiment where relative spatial abundance for potentially hundreds of analytes across virtually any tissue section can be measured. Crucially, imaging can be achieved without prior knowledge of tissue composition and without the use of antibodies. In effect MALDI-IMS allows generation of molecular data which complement and expand upon the information provided by histology including immuno-histochemistry, making its application valuable to both cancer biomarker research and diagnostics. The current state of MALDI-IMS, key biological applications to ovarian cancer research and practical considerations for analysis of peptides and proteins on ovarian tissue are presented in this review.
Keywords: MALDI
imaging
mass spectrometry
ovarian cancer
grading
biomarker
Rights: © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
DOI: 10.3390/ijms12010773
Published version: http://dx.doi.org/10.3390/ijms12010773
Appears in Collections:Aurora harvest
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