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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Immunolog...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Immunological Methods
Article . 2006 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Dimerisation strategies for shark IgNAR single domain antibody fragments

Authors: David P, Simmons; Fiona A, Abregu; Usha V, Krishnan; David F, Proll; Victor A, Streltsov; Larissa, Doughty; Meghan K, Hattarki; +1 Authors

Dimerisation strategies for shark IgNAR single domain antibody fragments

Abstract

Immunoglobulin new antigen receptors (IgNARs) are unique single domain antibodies found in the serum of sharks. The individual variable (VNAR) domains bind antigen independently and are candidates for the smallest antibody-based immune recognition units (approximately 13 kDa). Here, we first isolated and sequenced the cDNA of a mature IgNAR antibody from the spotted wobbegong shark (Orectolobus maculatus) and confirmed the independent nature of the VNAR domains by dynamic light scattering. Second, we asked which of the reported antibody fragment dimerisation strategies could be applied to VNAR domains to produce small bivalent proteins with high functional affinity (avidity). In contrast to single chain Fv (scFv) fragments, separate IgNARs could not be linked into a tandem single chain format, with the resulting proteins exhibited only monovalent binding due solely to interaction of the N-terminal domain with antigen. Similarly, incorporation of C-terminal helix-turn-helix (dhlx) motifs, while resulting in efficiently dimerised protein, resulted in only a modest enhancement of affinity, probably due to an insufficiently long hinge region linking the antibody to the dhlx motif. Finally, generation of mutants containing half-cystine residues at the VNAR C-terminus produced dimeric recombinant proteins exhibiting high functional affinity for the target antigens, but at the cost of 50-fold decreased protein expression levels. This study demonstrates the potential for construction of bivalent or bispecific IgNAR-based binding reagents of relatively small size (approximately 26 kDa), equivalent to a monovalent antibody Fv fragment, for formulation into future diagnostic and therapeutic formats.

Keywords

Models, Molecular, Sequence Homology, Amino Acid, Molecular Sequence Data, Antibody Affinity, Immunoglobulin Variable Region, Protein Structure, Tertiary, Open Reading Frames, Solubility, Antibody Specificity, Sharks, Animals, Amino Acid Sequence, Disulfides, Dimerization, Immunoglobulin Fragments, Helix-Turn-Helix Motifs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
49
Top 10%
Top 10%
Top 10%
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