A whole-genome bioinformatics approach to selection of antigens for systematic antibody generation

被引：51

作者：

Berglund, Lisa ^{[1
]}

Bjorling, Erik ^{[1
]}

Jonasson, Kalle ^{[1
]}

Rockberg, Johan ^{[1
]}

Fagerberg, Linn ^{[1
]}

Szigyarto, Cristina Al-Khalili ^{[1
]}

Sivertsson, Asa ^{[1
]}

Uhlen, Mathias ^{[1
]}

机构：

[1] Royal Inst Technol KTH, Sch Biotechnol, AlbaNova Univ Ctr, SE-10691 Stockholm, Sweden

来源：

PROTEOMICS | 2008年 / 8卷 / 14期

关键词：

antibody generation; antigen selection; bioinformatics; epitope; sequence similarity;

D O I：

10.1002/pmic.200800203

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Here, we present an antigen selection strategy based on a whole-genome bioinformatics approach, which is facilitated by an interactive visualization tool displaying protein features from both public resources and in-house generated data. The web-based bioinformatics platform has been designed for selection of multiple, non-overlapping recombinant protein epitope signature tags by display of predicted information relevant for antigens, including domain- and epitope sized sequence similarities to other proteins, transmembrane regions and signal peptides. The visualization tool also displays shared and exclusive protein regions for genes with multiple splice variants. A genome-wide analysis demonstrates that antigens for approximately 80% of the human protein-coding genes can be selected with this strategy.

引用

页码：2832 / 2839

页数：8

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