MALDI-imaging segmentation is a powerful tool for spatial functional proteomic analysis of human larynx carcinoma

被引:51
作者
Alexandrov, Theodore [1 ,2 ]
Becker, Michael [3 ]
Guntinas-Lichius, Orlando [4 ]
Ernst, Guenther [5 ]
von Eggeling, Ferdinand [5 ]
机构
[1] Univ Bremen, Ctr Ind Math ZeTeM, D-28359 Bremen, Germany
[2] Steinbeis Innovat Ctr Sci Comp Life Sci, D-28211 Bremen, Germany
[3] Bruker Daltonik GmbH, D-28359 Bremen, Germany
[4] Univ Hosp Jena, Dept Otorhinolaryngol, D-07740 Jena, Germany
[5] Univ Hosp Jena, Inst Human Genet, Core Unit Chip Applicat, D-07740 Jena, Germany
关键词
MALDI-imaging mass spectrometry; Automatic analysis; Histopathological annotation; Spatial segmentation; Larynx carcinoma; HUMAN NEUTROPHIL PEPTIDE-1; CALCIUM-BINDING PROTEINS; MASS-SPECTROMETRY; ALPHA-DEFENSINS; CELL CARCINOMA; COLON-CANCER; IDENTIFICATION; EXPRESSION; S100A8; SERUM;
D O I
10.1007/s00432-012-1303-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
For several decades, conventional histological staining and immunohistochemistry (IHC) have been the main tools to visualize and understand tissue morphology and structure. IHC visualizes the spatial distribution of individual protein species directly in tissue. However, a specific antibody is required for each protein, and multiplexing capabilities are extremely limited, rarely visualizing more than two proteins simultaneously. With the recent emergence of matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-imaging), it is becoming possible to study more complex proteomic patterns directly in tissue. However, the analysis and interpretation of large and complex MALDI-imaging data requires advanced computational methods. In this paper, we show how the recently introduced method of spatial segmentation can be applied to analysis and interpretation of a larynx carcinoma section and compare the spatial segmentation with the histological annotation of the same tissue section. Matrix-assisted laser desorption/ionization imaging is a label-free spatially resolved analytical technique, which allows detection and visualization of hundreds of proteins at once. Spatial segmentation of the MALDI-imaging data by clustering of spectra by their similarity was performed, automatically generating spatial a segmentation map of the tissue section, where regions of similar proteomic patterns were highlighted. The tissue was stained with the hematoxylin and eosin (H&E), histopathologically analyzed and annotated. The segmentation map was interpreted after its overlay with the H&E microscopy image. The automatically generated segmentation map exhibits high correspondence to the detailed histological annotation of the larynx carcinoma tissue section. By superimposing, the segmentation map based on the proteomic profiles with H&E-stained microscopic images, we demonstrate precise localization of complex and histopathologically relevant tissue features in an automated way. The combination of MALDI-imaging and automatic spatial segmentation is a useful approach in analyzing carcinoma tissue and provides a deeper insight into the functional proteomic organization of the respective tissue.
引用
收藏
页码:85 / 95
页数:11
相关论文
共 44 条
[1]   Upregulated expression of human neutrophil peptides 1, 2 and 3 (HNP 1-3) in colon cancer serum and tumours: a biomarker study [J].
Albrethsen, J ;
Bogebo, R ;
Gammeltoft, S ;
Olsen, J ;
Winther, B ;
Raskov, H .
BMC CANCER, 2005, 5 (1)
[2]   Super-resolution segmentation of imaging mass spectrometry data: Solving the issue of low lateral resolution [J].
Alexandrov, T. ;
Meding, S. ;
Trede, D. ;
Kobarg, J. H. ;
Balluff, B. ;
Walch, A. ;
Thiele, H. ;
Maass, P. .
JOURNAL OF PROTEOMICS, 2011, 75 (01) :237-245
[3]   Efficient spatial segmentation of large imaging mass spectrometry datasets with spatially aware clustering [J].
Alexandrov, Theodore ;
Kobarg, Jan Hendrik .
BIOINFORMATICS, 2011, 27 (13) :I230-I238
[4]   Spatial Segmentation of Imaging Mass Spectrometry Data with Edge-Preserving Image Denoising and Clustering [J].
Alexandrov, Theodore ;
Becker, Michael ;
Deininger, Soren-Oliver ;
Ernst, Gunther ;
Wehder, Liane ;
Grasmair, Markus ;
von Eggeling, Ferdinand ;
Thiele, Herbert ;
Maass, Peter .
JOURNAL OF PROTEOME RESEARCH, 2010, 9 (12) :6535-6546
[5]   Head and Neck Cancer Proteomic Advances and Biomarker Achievements [J].
Berto Rezende, Taia Maria ;
Freire, Mirna de Souza ;
Franco, Octavio Luiz .
CANCER, 2010, 116 (21) :4914-4925
[6]  
Cazares LH, 2002, CLIN CANCER RES, V8, P2541
[7]   MALDI tissue imaging: from biomarker discovery to clinical applications [J].
Cazares, Lisa H. ;
Troyer, Dean A. ;
Wang, Binghe ;
Drake, Richard R. ;
Semmes, O. John .
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2011, 401 (01) :17-27
[8]   Proteomics in diagnostic pathology - Profiling and imaging proteins directly in tissue sections [J].
Chaurand, P ;
Sanders, ME ;
Jensen, RA ;
Caprioli, RM .
AMERICAN JOURNAL OF PATHOLOGY, 2004, 165 (04) :1057-1068
[9]   MALDI Imaging Combined with Hierarchical Clustering as a New Tool for the Interpretation of Complex Human Cancers [J].
Deininger, Soeren-Oliver ;
Ebert, Matthias P. ;
Fuetterer, Arne ;
Gerhard, Marc ;
Roecken, Christoph .
JOURNAL OF PROTEOME RESEARCH, 2008, 7 (12) :5230-5236
[10]   High spatial resolution imaging mass spectrometry and classical histology on a single tissue section [J].
Deutskens, Fabian ;
Yang, Junhai ;
Caprioli, Richard M. .
JOURNAL OF MASS SPECTROMETRY, 2011, 46 (06) :568-571