The broadly neutralizing anti-HIV antibody 4E10 recognizes an epitope very close to the virus membrane on the glycoprotein gp41. It was previously shown that epitope recognition improves in a membrane context and that 4E10 binds directly, albeit weakly, to lipids. Furthermore, a crystal structure of Fab 4E10 complexed to an epitope peptide revealed that the centrally placed, protruding H3 loop of the antibody heavy chain does not form peptide contacts. To investigate the hypothesis that the H3 loop apex might interact with the viral membrane, two Trp residues in this region were substituted separately or in combination with either Ala or Asp by site-directed mutagenesis. The resultant IgG variants exhibited similar affinities for an epitope peptide as WT 4E10 but lower apparent affinities for both viral membrane mimetic liposomes and Env(-) virus. Variants also exhibited lower apparent affinities for Env(+) virions and failed to significantly neutralize a number of 4E10-sensitive viruses. For the extremely sensitive HXB2 virus, variants did neutralize, but at 37- to >250-fold lower titers than WT 4E10, with Asp substitutions exerting a greater effect on neutralization potency than Ala substitutions. Because reductions in lipid binding reflect trends in neutralization potency, we conclude that Trp residues in the antibody H3 loop enable membrane proximal epitope recognition through favorable lipid interactions. The requirement for lipophilic residues such as Trp adjacent to the antigen binding site may explain difficulties in eliciting 4E10-like neutralizing antibody responses by immunization and helps define a unique motif for antibody recognition of membrane proximal antigens.
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http://dx.doi.org/10.1073/pnas.0909680107 | DOI Listing |
Oncol Res
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Department of Biology, College of Science, Sultan Qaboos University, Muscat, 123, Oman.
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Promega Corporation, 2800 Woods Hollow Road, Madison, WI, 53711, USA.
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View Article and Find Full Text PDFBiosensors (Basel)
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The prevalence of foodborne diseases is continuously increasing, causing numerous hospitalizations and deaths, as well as money loss in the agri-food sector and food supply chain worldwide. The standard analyses currently used for bacteria detection have significant limitations with the most important being their long procedural time that can be crucial for foodborne outbreaks. In this study, a biosensor system able to perform robust and accurate detection of spp.
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