Comprehensive Identification of Proteins from MALDI Imaging

被引:67
作者
Maier, Stefan K. [1 ,2 ]
Hahne, Hannes [1 ]
Gholami, Amin Moghaddas [1 ]
Balluff, Benjamin [2 ,3 ]
Meding, Stephan [2 ]
Schoene, Cedrik [2 ]
Walch, Axel K. [2 ]
Kuster, Bernhard [1 ,4 ]
机构
[1] Tech Univ Munich, Chair Prote & Bioanalyt, D-85354 Freising Weihenstephan, Germany
[2] Helmholtz Zentrum Munchen, Res Unit Analyt Pathol, Inst Pathol, D-85764 Neuherberg, Germany
[3] Leiden Univ, Med Ctr, Dept Parasitol, Biomol Mass Spectrometry Unit, NL-2333 ZC Leiden, Netherlands
[4] Ctr Integrated Prot Sci Munich, D-85354 Freising Weihenstephan, Germany
关键词
MASS-SPECTROMETRY; TISSUE-SECTIONS; HIGH-RESOLUTION; CANCER; PEPTIDES; SIGNATURES; FRAGMENT; MARKERS; SAMPLES; TUMORS;
D O I
10.1074/mcp.M113.027599
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is a powerful tool for the visualization of proteins in tissues and has demonstrated considerable diagnostic and prognostic value. One main challenge is that the molecular identity of such potential biomarkers mostly remains unknown. We introduce a generic method that removes this issue by systematically identifying the proteins embedded in the MALDI matrix using a combination of bottom-up and top-down proteomics. The analyses of ten human tissues lead to the identification of 1400 abundant and soluble proteins constituting the set of proteins detectable by MALDI IMS including >90% of all IMS biomarkers reported in the literature. Top-down analysis of the matrix proteome identified 124 mostly N- and C-terminally fragmented proteins indicating considerable protein processing activity in tissues. All protein identification data from this study as well as the IMS literature has been deposited into MaTisse, a new publically available database, which we anticipate will become a valuable resource for the IMS community.
引用
收藏
页码:2901 / 2910
页数:10
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