Bioimaging of metals in brain tissue by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) and metallomics

  • Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has been developed and established as an emerging technique in the generation of quantitative images of metal distributions in thin tissue sections of brain samples (such as human, rat and mouse brain), with applications in research related to neurodegenerative disorders. A new analytical protocol is described which includes sample preparation by cryo-cutting of thin tissue sections and matrix-matched laboratory standards, mass spectrometric measurements, data acquisition, and quantitative analysis. Specific examples of the bioimaging of metal distributions in normal rodent brains are provided. Differences to the normal were assessed in a Parkinson’s disease and a stroke brain model. Furthermore, changes during normal aging were studied. Powerful analytical techniques are also required for the determination and characterization of metal-containing proteins within a large pool of proteins, e.g., after denaturing or non-denaturing electrophoretic separation of proteins in one-dimensional and two-dimensional gels. LA-ICP-MS can be employed to detect metalloproteins in protein bands or spots separated after gel electrophoresis. MALDI-MS can then be used to identify specific metal-containing proteins in these bands or spots. The combination of these techniques is described in the second section.

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Johanna Sabine Becker, Andreas Matusch, Christoph PalmORCiDGND, Dagmar Salber, Kathryn A. Morton, Julia Susanne Becker
DOI:https://doi.org/10.1039/b916722f
Parent Title (English):Metallomics
Document Type:Article
Language:English
Year of first Publication:2010
Release Date:2020/01/08
GND Keyword:ICP-Massenspektrometrie; Metalle; Metallproteide; Elektrophorese; Gehirn
Issue:2
First Page:104
Last Page:111
Institutes:Fakultät Informatik und Mathematik
Regensburg Medical Image Computing - ReMIC
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke
Publication:Externe Publikationen