

Publisher: John Wiley & Sons Inc
E-ISSN: 1097-0347|37|7|1014-1021
ISSN: 1043-3074
Source: HEAD & NECK: JOURNAL FOR THE SCIENCES & SPECIALTIES OF THE HEAD AND NECK, Vol.37, Iss.7, 2015-07, pp. : 1014-1021
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
AbstractBackgroundDespite efforts in localization of key proteins using immunohistochemistry, the complex proteomic composition of pleomorphic adenomas has not yet been characterized. Matrix‐assisted laser desorption/ionization imaging mass spectrometry (MALDI imaging) allows label‐free and spatially resolved detection of hundreds of proteins directly from tissue sections and of histomorphological regions by finding colocalized molecular signals. Spatial segmentation of MALDI imaging data is an algorithmic method for finding regions of similar proteomic composition as functionally similar regions.MethodsWe investigated 2 pleomorphic adenomas by applying spatial segmentation to the MALDI imaging data of tissue sections.ResultsThe spatial segmentation subdivided the tissue in a good accordance with the tissue histology. Numerous molecular signals colocalized with histologically defined tissue regions were found.ConclusionOur study highlights the cellular transdifferentiation within the pleomorphic adenoma. It could be shown that spatial segmentation of MALDI imaging data is a promising approach in the emerging field of digital histological analysis and characterization of tumors. © 2014 Wiley Periodicals, Inc. Head Neck 37: 1014–1021, 2015
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