Change search
ReferencesLink to record
Permanent link

Direct link
Epitope mapping of monoclonal and polyclonal antibodies using bacterial cell surface display
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.
KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology.
2014 (English)In: Monoclonal antibodies, Humana Press, 2014, 485-500 p.Chapter in book (Refereed)
Abstract [en]

The unique property of specific high-affinity binding to more or less any target of interest has made antibodies tremendously useful in numerous applications. Hence knowledge of the precise binding site (epitope) of antibodies on the target protein is one of the most important features for understanding its performance and determining its reliability in immunoassays. Here, we describe a high-resolution method for mapping epitopes of antibodies based on bacterial surface expression of antigen fragments followed by antibody-based flow cytometric sorting. Epitopes are determined by DNA sequencing of the sorted antibody-binding cells followed by sequence alignment back to the antigen sequence. The method described here has been useful for the mapping of both monoclonal and polyclonal antibodies with varying sizes of epitopes.

Place, publisher, year, edition, pages
Humana Press, 2014. 485-500 p.
, Methods in Molecular Biology, ISSN 1064-3745 ; 1131
Keyword [en]
Antibody, Cell surface display, Epitope mapping, FACS, Gram-positive, S. carnosus
National Category
Cell and Molecular Biology
URN: urn:nbn:se:kth:diva-161512DOI: 10.1007/978-1-62703-992-5-29PubMedID: 24515484ScopusID: 2-s2.0-84896140138ISBN: 978-162703991-8OAI: diva2:794868

QC 20150313

Available from: 2015-03-13 Created: 2015-03-12 Last updated: 2015-03-13Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMedScopus

Search in DiVA

By author/editor
Volk, Anna LuisaHu, Francis jingxinRockberg, Johan
By organisation
Proteomics and Nanobiotechnology
Cell and Molecular Biology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 18 hits
ReferencesLink to record
Permanent link

Direct link