'What did i do wrong?' An empirical evaluation of sample preparation methodologies in matrix-assisted laser desorption/ionization-mass spectrometry imaging

O'Rourke, MB; Smith, CC; Tse, BCY; Sutherland, GT; Crossett, B; Padula, MP

'What did i do wrong?' An empirical evaluation of sample preparation methodologies in matrix-assisted laser desorption/ionization-mass spectrometry imaging

O'Rourke, MB Smith, CC Tse, BCY Sutherland, GT Crossett, B Padula, MP

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Publication Type:: Journal Article
Citation:: Future Science OA, 2019, 5 (4)
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	O'Rourke, MB	en_US
dc.contributor.author	Smith, CC	en_US
dc.contributor.author	Tse, BCY	en_US
dc.contributor.author	Sutherland, GT	en_US
dc.contributor.author	Crossett, B	en_US
dc.contributor.author	Padula, MP https://orcid.org/0000-0002-8283-0643	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	Future Science OA, 2019, 5 (4)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135828
dc.description.abstract	© 2019 MO Rourke. Aim: This guide aims to broaden the uptake of MALDI-MSI biomedical research by removing the initial 'lag phase' associated with empirical determination in sample preparation and data analysis. Methods: Samples from several tissue types were prepared for lipid, protein and peptide MSI analysis. Broadly, samples were cryo sectioned, mounted onto conductive MALDI slides and sublimed with an analyte specific matrix, recrystallised and analyzed in a Bruker UltrafleXtreme MALDI TOF/TOF. Results/conclusion: Here we present a general guide that serves as the first comprehensive, explanatory index for curation and verification of both sample preparation and data generation during the MALDI-MSI process. Lay abstract The field of mass spectrometry tissue imaging is a complex field that is designed to provide a map of the molecules on the surface of tissue sections. It often requires a significant investment of time and resources before useful data can be generated; therefore, this paper provides a visual troubleshooting guide that will act as a reference point for a range of sample preparation mistakes and explanations for unusual or suboptimal data. Elimination of the lag phase associated with the development of new techniques will help to expedite the growth and application of this technology.	en_US
dc.relation.ispartof	Future Science OA	en_US
dc.relation.isbasedon	10.4155/fsoa-2018-0095	en_US
dc.title	'What did i do wrong?' An empirical evaluation of sample preparation methodologies in matrix-assisted laser desorption/ionization-mass spectrometry imaging	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	5	en_US
utslib.for	0601 Biochemistry and Cell Biology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

© 2019 MO Rourke. Aim: This guide aims to broaden the uptake of MALDI-MSI biomedical research by removing the initial 'lag phase' associated with empirical determination in sample preparation and data analysis. Methods: Samples from several tissue types were prepared for lipid, protein and peptide MSI analysis. Broadly, samples were cryo sectioned, mounted onto conductive MALDI slides and sublimed with an analyte specific matrix, recrystallised and analyzed in a Bruker UltrafleXtreme MALDI TOF/TOF. Results/conclusion: Here we present a general guide that serves as the first comprehensive, explanatory index for curation and verification of both sample preparation and data generation during the MALDI-MSI process. Lay abstract The field of mass spectrometry tissue imaging is a complex field that is designed to provide a map of the molecules on the surface of tissue sections. It often requires a significant investment of time and resources before useful data can be generated; therefore, this paper provides a visual troubleshooting guide that will act as a reference point for a range of sample preparation mistakes and explanations for unusual or suboptimal data. Elimination of the lag phase associated with the development of new techniques will help to expedite the growth and application of this technology.

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http://hdl.handle.net/10453/135828