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PMID: 19415667 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Sample preparation issues for tissue imaging by imaging MS.

Proteomics ·Vol. 9 ·No. 10 ·2009-05-00 ·Pages 2622-33

Kaletaş BK, van der Wiel IM, Stauber J, Lennard J. Dekker, Güzel C, Kros JM, Luider TM, Heeren RM

Abstract

Imaging MS is a powerful technique that combines the chemical and spatial analysis of surfaces. It allows spatial localization of multiple different compounds that are recorded in parallel without the need of a label. It is currently one of the rapidly developing techniques in the proteomics toolbox. Different complementary imaging MS methods, i.e. MALDI and secondary ion MS imaging for direct tissue analysis, can be applied on exactly the same tissue sample. This allows the identification of small molecules, peptides and proteins present on the same sample surface. Sample preparation is crucial to obtain high quality, reliable and reproducible complementary molecular images. It is essential to optimize the conditions for each step in the sample preparation protocol, ranging from sample collection and storage to surface modification. In this article, we review and discuss the importance of correct sample treatment in case of MALDI and secondary ion MS imaging experiments and describe the experimental requirements for optimal sample preparation.

MeSH Terms
Cerebellum/chemistry Histocytological Preparation Techniques Humans Image Processing, Computer-Assisted Mass Spectrometry Proteomics/methods Specimen Handling/methods Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Kaletaş Başak Kükrer
PCC UvA B. V. , and FOM Institute for Atomic and Molecular Physics, Kruislaan 407, Amsterdam, The Netherlands.
van der Wiel Ingrid M
Stauber Jonathan
Lennard J. Dekker
Güzel Coşkun
Kros Johan M
Luider Theo M
Heeren Ron M A
Article Info
Journal
Proteomics
Abbr.
Proteomics
ISSN
1615-9861
Published
2009-05-00
Pages
2622-33
Language
English
Region
Germany
NLM ID
101092707
Subset
IM
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