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A comprehensive protein ressource for the study of bladder cancer: http://biobase.dk/cgi‐bin/celis
Author(s) -
Celis Julio E.,
Ostergaard Morten,
Rasmussen Hanne H.,
Gromov Pavel,
Gromova Irina,
Varmark Hanne,
Palsdottir Hildur,
Magnusson Nils,
Andersen Inger,
Basse Bodil,
Lauridsen Jette B.,
Ratz Gitte,
Wolf Hans,
Orntoft Torben F.,
Celis Pamela,
Celis Ariana
Publication year - 1999
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/(sici)1522-2683(19990201)20:2<300::aid-elps300>3.0.co;2-q
Subject(s) - proteome , immunohistochemistry , bladder cancer , cell , protein expression , bin , cancer , computational biology , biology , pathology , medicine , computer science , bioinformatics , gene , algorithm , biochemistry , genetics
In our laboratories we are exploring the possibility of using proteome expression profiles of fresh bladder tumors (transitional cell carcinomas, TCCs; squamous cell carcinomas, SCCs) and random biopsies as fingerprints to subclassify histopathological types and as a starting point to search for protein markers that may form the basis for diagnosis, prognosis, and treatment. Ultimately, the goal of these studies is to identify signaling pathways and components that are affected at various stages of bladder cancer progression and that may provide novel leads in drug discovery. Here we present our ongoing efforts to establish comprehensive two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) databases of TCCs and SCCs which are being constructed based on the proteomic and immunohistochemical analysis of hundreds of fresh tumors, random biopsies and cystectomies received shortly after operation (http://biobase.dk/cgi-bin/celis).