Toponome mapping in prostate cancer: detection of 2000 cell surface protein clusters in a single tissue section and cell type specific annotation by using a three symbol code.
The toponome imaging technology MELC/TIS was applied to analyze prostate cancer tissue. By cyclical imaging procedures, we detected 2100 cell surface protein clusters in a single tissue section. This study provides the whole data set, a new kind of high dimensional data space, solely based on the structure-bound architecture of an in situ protein network, a putative fraction of the tissue code of prostate cancer. It is visualized as a colored mosaic composed of distinct protein clusters, together forming a motif expressed exclusively on the cell surface of neoplastic cells in prostate acini. Cell type specific expression of this motif, found in this preliminary study, suggests that high-throughput toponome analyses of a larger number of cases will provide insight into disease specific protein networks.
Schubert
Walter
W
Molecular Pattern Recognition Research Group, Medical Faculty, Otto-von-Guericke-University Magdeburg, Germany. walter.schubert@med.ovgu.de
Gieseler
Anne
A
Krusche
Andreas
A
Hillert
Reyk
R
D015703:Antigens, CD / Q000032:analysis; D019295:Computational Biology; D004847:Epithelial Cells / Q000737:chemistry / Q000378:metabolism; D006651:Histocytochemistry; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008565:Membrane Proteins / Q000032:analysis*; D008856:Microscopy, Fluorescence; D008875:Middle Aged; D046912:Multiprotein Complexes / Q000032:analysis; D009363:Neoplasm Proteins / Q000032:analysis*; D019151:Peptide Library; D011467:Prostate / Q000737:chemistry / Q000166:cytology; D011471:Prostatic Neoplasms / Q000737:chemistry*; D025941:Protein Interaction Mapping / Q000379:methods*; D040901:Proteomics / Q000379:methods*
D015703:Antigens, CD; D008565:Membrane Proteins; D046912:Multiprotein Complexes; D009363:Neoplasm Proteins; D019151:Peptide Library