Proteomics analysis, imaging mass

Yao I, Sugiura Y, Matsumoto M, et al. In situ proteomics with imaging mass spectrometry and principal component analysis in the Scrapper-knockout mouse brain. Proteomics 2008 8 3692-3701. 

Groseclose MR, Massion PP, Chaurand P, et al. High-throughput proteomic analysis of formalin-fixed paraffin-embedded tissue microarrays using MALDI imaging mass spectrometry. Proteomics 2008 8 3715-3724. 

Liu N, Liu F, Xu B, Gao Y, Li X, Wei K, Zhang X, Yang S (2008) Establishment of imaging mass spectrometry for biological tissue and its application on the proteome analysis of micro-wave radiated hippocampus. Chin J Anal Chem 36(4) 421—425... 

The main approach of proteomic analysis of brain pathology is to use comparative 2D-page separation of constituent proteins in diseased versus normal samples. This is usually followed by gel image analysis to identify alterations in the intensify of specific spots compared to the normal state and subsequent excision of the abnormal spots and identification by mass spectrometiy or peptide sequencing. The main types of samples, which have been analysed by these means, are human biopsies or postmortem samples and mouse models of human disease. 

Malmberg, P.,Nygren, H. (2008) Methods for the analysis of the composition of bone tissue, with a focus on imaging mass spectrometry (TOF-SIMS). Proteomics, 8, 3755-3762. 

Besides sensitive methods for the analysis of proteins, bioinformatics is one of the key components of proteome research. This includes software to monitor and quantify the separation of complex samples, e.g., to analyze 2DE images. Web-based database search engines are available to compare experimentally measured peptide masses or sequence ions of protein digests with theoretical values of peptides derived from protein sequences. Websites for database searching with mass spectrometric data may be found at http //www.expasy.ch/tools, http //prospector.ucsf. edu/ and http //www.matrixscience.com. 

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