Isolation of cross-reacting antigen candidates by mRNA-display using a mixed cDNA library

The identification of cross-reacting antigens is an important process in the characterization of antibodies. We describe here the application of mRNA-display technology with a cDNA library for the isolation of cross-reacting antigens using a monoclonal antibody against human tumor protein p53 (hTP53...

Full description

Saved in:
Bibliographic Details
Published inBiotechnology letters Vol. 30; no. 12; pp. 2037 - 2043
Main Authors Shibui, Tatsuro, Kobayashi, Teruaki, Shiratori, Miwa
Format Journal Article
LanguageEnglish
Published Dordrecht Dordrecht : Springer Netherlands 01.12.2008
Springer Netherlands
Springer
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The identification of cross-reacting antigens is an important process in the characterization of antibodies. We describe here the application of mRNA-display technology with a cDNA library for the isolation of cross-reacting antigens using a monoclonal antibody against human tumor protein p53 (hTP53) as a model. A mixed cDNA library constructed from mRNAs prepared from several human tissues and cell-lines was used for the mRNA-display. After several rounds of panning, five annotated polypeptides, topoisomeraseII-binding protein 1 (TOBP1), RAS protein activator like 2 isoform 1 (RASAL2), endosome-associated FYVE-domain protein (ZFYVE16), and utrophin (UTRN) as well as hTP53, were identified as cross-reactive antigen candidates. All of them had a consensus motif, -S-D-L-( )-K-L-, which was included in the known epitope of the antibody. They were synthesized in vitro, and their binding was compared by conducting a pull-down assay. In cross-activity to the antibody, they ranked as follows: ZYVE16 [congruent with] hTP53 [congruent with] TOBP1 > UTRN > RASAL2.
Bibliography:http://dx.doi.org/10.1007/s10529-008-9803-5
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:0141-5492
1573-6776
DOI:10.1007/s10529-008-9803-5