PuSH - Publication Server of Helmholtz Zentrum München

Gires, O.* ; Münz, M.* ; Schaffrik, M.* ; Kieu, C.* ; Rauch, J.* ; Ahlemann, M.* ; Eberle, D.* ; Mack, B.* ; Wollenberg, B.* ; Lang, S.* ; Hofmann, T.* ; Hammerschmidt, W. ; Zeidler, R.*

Profile identification of disease-associated humoral antigens using AMIDA, a novel proteomics-based technology.

Cell. Mol. Life Sci. 61, 1198-1207 (2004)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
We describe AMIDA (autoantibody-mediated identification of antigens), a novel target identification technology based on the immunoprecipitation of disease-specific antigens by autologous serum antibodies followed by two-dimensional electrophoretic separation, and their identification via mass spectrometry. Twenty-seven potential carcinoma antigens were identified including proteins of hitherto unknown function. Validation of one of the identified antigens, cytokeratin 8, revealed its de novo expression in hyperplastic tissue, gradual overexpression with increasing malignancy, and ectopic localization on the cell surface. Furthermore, a strong prevalence of CK8-specific antibodies occurred in the serum of cancer patients already at early disease stages. In situ hybridization for one marker of unknown function, KIAA1273/TOB3, demonstrated its strong overexpression in head and neck carcinomas, thus making it a likely tumor antigen candidate. Eventually, AMIDA could foster significant improvements for the diagnosis and therapy of human diseases eliciting a humoral immune response, and allows for the rapid identification of new target molecules.
Altmetric
Additional Metrics?
Edit extra informations Login
Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Amida ; Ck8 ; Hnscc ; Humoral Antigens ; Kiaa1273/tob3
ISSN (print) / ISBN 1420-682X
e-ISSN 1420-9071
Quellenangaben Volume: 61, Issue: 10, Pages: 1198-1207 Article Number: , Supplement: ,
Publisher Birkhäuser
Non-patent literature Publications
Reviewing status Peer reviewed