| Literature DB >> 24645849 |
Satoru Horiya1, Jennifer K Bailey, J Sebastian Temme, Yollete V Guillen Schlippe, Isaac J Krauss.
Abstract
Herein, we report a method for in vitro selection of multivalent glycopeptides, combining mRNA display with incorporation of unnatural amino acids and "click" chemistry. We have demonstrated the use of this method to design potential glycopeptide vaccines against HIV. From libraries of ~10(13) glycopeptides containing multiple Man9 glycan(s), we selected variants that bind to HIV broadly neutralizing antibody 2G12 with picomolar to low nanomolar affinity. This is comparable to the strength of the natural 2G12-gp120 interaction, and is the strongest affinity achieved to date with constructs containing 3-5 glycans. These glycopeptides are therefore of great interest in HIV vaccine design.Entities:
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Year: 2014 PMID: 24645849 PMCID: PMC4004241 DOI: 10.1021/ja500678v
Source DB: PubMed Journal: J Am Chem Soc ISSN: 0002-7863 Impact factor: 15.419
Figure 1In vitro selection of glycopeptides. (A) Covalent linkage of nascent peptide to its mRNA, mediated by attachment to mRNA-linked puromycin inside the ribosome. (B) Use of PURE system to incorporate alkynes via the AUG codon and CuAAAC “click” chemistry glycosylation with with the synthetic Man9-azide. (C) Peptide libraries used in this study. The “fixed” library contains three constant glycosylation sites, whereas the “variable” library contains only one constant glycosylation site, at position 1. The random regions of both libraries are followed by a flexible linker and a His6 tag. Puromycin attached to mRNA is covalently linked to C-terminal arginine residues in translation.[16b] (D) Scheme for selection of 2G12-binding glycopeptides. The library DNA is comprised of T7 promotor (PT7), ε-enhancer followed by Shine–Dalgarno sequence (SD), the open reading frame (ORF) of the peptide, and the constant region including the sequence for annealing and photocross-linking the mRNA to a puromycin-containing oligonucleotide.
Figure 2(A) Selection conditions and percentage of radioactivity (counts per min) in eluted fractions. Concentrations of the 2G12 listed for the selection are prior to addition of protein G or protein A magnetic beads. (B) Profiling of the distribution of the putative number of glycans in library peptides before selection (“n” on the right on the gel). Red boxes indicate enrichment of low-valent glycopeptides in 37 °C selection rounds.
Binding Constants of Selected and Nonselected Glycopeptides
Only the sequence of the random region (positions 1–33) is shown. All peptide sequences used in the 2G12-binding assay were followed by a linker, a His6-tag, and a FLAG-tag (GSGSLGHHHHHHRDYKDDDDK) for purification and radiolabeling purposes. Blue “m” denotes potential Man9-glycosylation sites encoded by the AUG codon. The observed consensus motif is highlighted in yellow.
In the assay, the peptides were radiolabeled with 35S-cysteine (for peptides containing cysteine) or 3H-histidine (for peptides not containing cysteine), and incubated with various concentrations of 2G12, and 2G12–peptide complexes were isolated with magnetic protein G beads. Percentages of the fractions bound were calculated from radioactivity measured by liquid scintillation counting (see Experimental Section for details). KD and Fmax (maximum fraction bound) were calculated by fitting Fbound = (Fmax [2G12])/(KD + [2G12]) to average data points. Errors reported are the standard error of the curve fit.
Not determined.
Figure 3Importance of glycans in binding of selected glycopeptides to 2G12 and competition with gp120. (A) Competition of glycopeptide binding to 2G12 with gp120 and mannose and glycosylation-dependent binding. (B) Competition of glycopeptide binding to 2G12 with varied concentrations of gp120.
Figure 4(A) Preparation of synthetic 10F2 glycopeptide and attachment of biotin for immobilization to streptavidin surface. (B) BioLayer Interferometry (BLI) measurement of 2G12 interacting with surface-immobilized synthetic 10F2 glycopeptide. kon and koff errors are standard errors of the curve fit, and the KD error is propagated from those values.