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In situ proteomics with imaging mass spectrometry and principal component analysis in the Scrapper ‐knockout mouse brain
Author(s) -
Yao Ikuko,
Sugiura Yuki,
Matsumoto Mineo,
Setou Mitsutoshi
Publication year - 2008
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200701121
Subject(s) - proteomics , mass spectrometry imaging , neurodegeneration , principal component analysis , knockout mouse , chemistry , mass spectrometry , maldi imaging , computational biology , neuroscience , biology , biochemistry , pathology , matrix assisted laser desorption/ionization , computer science , medicine , artificial intelligence , gene , chromatography , disease , organic chemistry , adsorption , desorption
Imaging MS is emerging as a useful tool for proteomic analysis. We utilized this technique to analyze gene knockout (KO) mice in addition to traditional 2‐DE analysis. The Scrapper ‐knockout (SCR‐KO) mouse brain showed two types of neurodegenerative pathologies, the spongiform neurodegeneration and shrinkage of neuronal cells. 2‐DE analysis of the whole brain lysates of SCR‐KO mice indicated slight changes in annexin A6, Rap1 GTPase, and glyoxalase domain containing four spots while most of the main components did not show significant changes. By imaging MS analysis based on principal component analysis (PCA), we could find numerous alterations in the KO mouse brain. Furthermore, we could also know the information on the position of altered substances all together. PCA provides information about which molecules in tissue microdomains have altered and is helpful in analyzing large dataset of imaging MS, while exact identification of each molecule from peaks in MALDI imaging MS may require additional analyses such as MS/MS. Direct imaging with PCA is a powerful tool to perform in situ proteomics and will lead to novel findings. Our study shows that imaging MS yields information complementary to conventional 2‐DE analysis.