MRI-compatible pipeline for three-dimensional MALDI imaging mass spectrometry using PAXgene fixation

Janina Oetjen, Michaela Aichler, Dennis Trede, Jan Strehlow, Judith Berger, Stefan Heldmann, Michael Becker, Michael Gottschalk, Jan Hendrik Kobarg, Stefan Wirtz, Stefan Schiffler, Herbert Thiele, Axel Walch, Peter Maass*, Theodore Alexandrov

*Corresponding author for this work
51 Citations (Scopus)

Abstract

MALDI imaging mass spectrometry (MALDI-imaging) has emerged as a spatially-resolved label-free bioanalytical technique for direct analysis of biological samples and was recently introduced for analysis of 3D tissue specimens.We present a new experimental and computational pipeline for molecular analysis of tissue specimens which integrates 3D MALDI-imaging, magnetic resonance imaging (MRI), and histological staining and microscopy, and evaluate the pipeline by applying it to analysis of a mouse kidney. To ensure sample integrity and reproducible sectioning, we utilized the PAXgene fixation and paraffin embedding and proved its compatibility with MRI. Altogether, 122 serial sections of the kidney were analyzed using MALDI-imaging, resulting in a 3D dataset of 200. GB comprised of 2. million spectra. We show that elastic image registration better compensates for local distortions of tissue sections. The computational analysis of 3D MALDI-imaging data was performed using our spatial segmentation pipeline which determines regions of distinct molecular composition and finds m/z-values co-localized with these regions. For facilitated interpretation of 3D distribution of ions, we evaluated isosurfaces providing simplified visualization.We present the data in a multimodal fashion combining 3D MALDI-imaging with the MRI volume rendering and with light microscopic images of histologically stained sections. Biological significance: Our novel experimental and computational pipeline for 3D MALDI-imaging can be applied to address clinical questions such as proteomic analysis of the tumor morphologic heterogeneity. Examining the protein distribution as well as the drug distribution throughout an entire tumor using our pipeline will facilitate understanding of the molecular mechanisms of carcinogenesis.This article is part of a Special Issue entitled: From Genome to Proteome: Open Innovations.

Original languageEnglish
JournalJournal of Proteomics
Volume90
Pages (from-to)52-60
Number of pages9
ISSN1874-3919
DOIs
Publication statusPublished - 02.09.2013

Funding

We gratefully thank Klaus Steinhorst (SCiLS) for his guidance with using the SCiLS Lab software and Claudia-Mareike Pflüger, Ulrike Buchholz and Andreas Voss (Helmholtz Center Munich) for excellent technical assistance. T.A., D.T., S.S, J.H.K. and J.O. acknowledge financial support from the European Union 7th Framework Programme (grants 305259 and 255931 ). P.M., J.O., D.T., A.W., S.W., S.H., and H.T. acknowledge financial support from Bundesministerium für Bildung und Forschung, BMBF ( grant 01IB10004A-F ). A.W. acknowledges financial support from BMBF (grants 01EZ0803 , 0315508A and 01IB10004E ) and from the Deutsche Forschungsgemeinschaft (grants SFB 824 TP B1 , SFB 824 TP Z02 and WA 1656/3-1 ). Appendix A

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