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Proteome-wide Epitope Mapping of Antibodies Using Ultra-dense Peptide Arrays

Authors :
Forsström, Bjorn
Axnäs, Barbara Bislawska
Stengele, Klaus-Peter
Buehler, Jochen
Albert, Thomas J.
Richmond, Todd A.
Hu, Francis Jingxin
Nilsson, Peter
Hudson, Elton Paul
Rockberg, Johan
Uhlén, Mathias
Forsström, Bjorn
Axnäs, Barbara Bislawska
Stengele, Klaus-Peter
Buehler, Jochen
Albert, Thomas J.
Richmond, Todd A.
Hu, Francis Jingxin
Nilsson, Peter
Hudson, Elton Paul
Rockberg, Johan
Uhlén, Mathias
Publication Year :
2014

Abstract

Antibodies are of importance for the field of proteomics, both as reagents for imaging cells, tissues, and organs and as capturing agents for affinity enrichment in mass-spectrometry-based techniques. It is important to gain basic insights regarding the binding sites (epitopes) of antibodies and potential cross-reactivity to nontarget proteins. Knowledge about an antibody's linear epitopes is also useful in, for instance, developing assays involving the capture of peptides obtained from trypsin cleavage of samples prior to mass spectrometry analysis. Here, we describe, for the first time, the design and use of peptide arrays covering all human proteins for the analysis of antibody specificity, based on parallel in situ photolithic synthesis of a total of 2.1 million overlapping peptides. This has allowed analysis of on-and off-target binding of both monoclonal and polyclonal antibodies, complemented with precise mapping of epitopes based on full amino acid substitution scans. The analysis suggests that linear epitopes are relatively short, confined to five to seven residues, resulting in apparent off-target binding to peptides corresponding to a large number of unrelated human proteins. However, subsequent analysis using recombinant proteins suggests that these linear epitopes have a strict conformational component, thus giving us new insights regarding how antibodies bind to their antigens.<br />QC 20140711

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1234998293
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1074.mcp.M113.033308