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Ly, A. ; Buck, A. ; Balluff, B.* ; Sun, N. ; Gorzolka, K. ; Feuchtinger, A. ; Janssen, K.P.* ; Kuppen, P.J.* ; van de Velde, C.J.* ; Weirich, G.* ; Erlmeier, F.* ; Langer, R.* ; Aubele, M. ; Zitzelsberger, H. ; McDonnell, L.A.* ; Aichler, M. ; Walch, A.K.

High-mass-resolution MALDI mass spectrometry imaging of metabolites from formalin-fixed paraffin-embedded tissue.

Nat. Protoc. 11, 1428-1443 (2016)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Formalin-fixed and paraffin-embedded (FFPE) tissue specimens are the gold standard for histological examination, and they provide valuable molecular information in tissue-based research. Metabolite assessment from archived tissue samples has not been extensively conducted because of a lack of appropriate protocols and concerns about changes in metabolite content or chemical state due to tissue processing. We present a protocol for the in situ analysis of metabolite content from FFPE samples using a high-mass-resolution matrix-assisted laser desorption/ionization fourier-transform ion cyclotron resonance mass spectrometry imaging (MALDI-FT-ICR-MSI) platform. The method involves FFPE tissue sections that undergo deparaffinization and matrix coating by 9-aminoacridine before MALDI-MSI. Using this platform, we previously detected ∼1,500 m/z species in the mass range m/z 50-1,000 in FFPE samples; the overlap compared with fresh frozen samples is 72% of m/z species, indicating that metabolites are largely conserved in FFPE tissue samples. This protocol can be reproducibly performed on FFPE tissues, including small samples such as tissue microarrays and biopsies. The procedure can be completed in a day, depending on the size of the sample measured and raster size used. Advantages of this approach include easy sample handling, reproducibility, high throughput and the ability to demonstrate molecular spatial distributions in situ. The data acquired with this protocol can be used in research and clinical practice.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Assisted-laser-desorption/ionization; Multivariate Data-analysis; Breast-cancer Tissues; Sample Preparation; Nmr-spectroscopy; Ms Analysis; Matrix; Metabolomics; Specimens; Cells
Language
Publication Year 2016
HGF-reported in Year 2016
ISSN (print) / ISBN 1754-2189
e-ISSN 1750-2799
Quellenangaben Volume: 11, Issue: 8, Pages: 1428-1443 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30203 - Molecular Targets and Therapies
Research field(s) Enabling and Novel Technologies
Radiation Sciences
PSP Element(s) G-500390-001
G-500300-001
G-501000-001
Scopus ID 84979912993
PubMed ID 27414759
Erfassungsdatum 2016-07-26