Uncovering the peptide-binding specificities of HLA-C: a general strategy to determine the specificity of any MHC class I molecule

Authors
Rasmussen, Michael; Harndahl, Mikkel; Stryhn, Anette; Boucherma, Rachid; Nielsen, Lise Lotte; Lemonnier, François A.; Nielsen, Morten; Buus, Søren
Publication Year
2014
Language
English
Format
article
Status
Published version
Description
MHC class I molecules (HLA-I in humans) present peptides derived from endogenous proteins to CTLs. Whereas the peptide-binding specificities of HLA-A and -B molecules have been studied extensively, little is known about HLA-C specificities. Combining a positional scanning combinatorial peptide library approach with a peptide–HLA-I dissociation assay, in this study we present a general strategy to determine the peptide-binding specificity of any MHC class I molecule. We applied this novel strategy to 17 of the most common HLA-C molecules, and for 16 of these we successfully generated matrices representing their peptide-binding motifs. The motifs prominently shared a conserved C-terminal primary anchor with hydrophobic amino acid residues, as well as one or more diverse primary and auxiliary anchors at P1, P2, P3, and/or P7. Matrices were used to generate a large panel of HLA-C–specific peptide-binding data and update our pan-specific NetMHCpan predictor, whose predictive performance was considerably improved with respect to peptide binding to HLA-C. The updated predictor was used to assess the specificities of HLA-C molecules, which were found to cover a more limited sequence space than HLA-A and -B molecules. Assessing the functional significance of these new tools, HLA-C*07:01 transgenic mice were immunized with stable HLA-C*07:01 binders; six of six tested stable peptide binders were immunogenic. Finally, we generated HLA-C tetramers and labeled human CD8+ T cells and NK cells. These new resources should support future research on the biology of HLA-C molecules. The data are deposited at the Immune Epitope Database, and the updated NetMHCpan predictor is available at the Center for Biological Sequence Analysis and the Immune Epitope Database.
Fil: Rasmussen, Michael. Universidad de Copenhagen; Dinamarca
Fil: Harndahl, Mikkel. Universidad de Copenhagen; Dinamarca
Fil: Stryhn, Anette. Universidad de Copenhagen; Dinamarca
Fil: Boucherma, Rachid. Inserm; Francia. Groupe Hospitalier Cochin-Port-Royal; Francia
Fil: Nielsen, Lise Lotte. Universidad de Copenhagen; Dinamarca
Fil: Lemonnier, François A.. Inserm; Francia. Groupe Hospitalier Cochin-Port-Royal; Francia
Fil: Nielsen, Morten. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina. Technical University of Denmark; Dinamarca
Fil: Buus, Søren. Universidad de Copenhagen; Dinamarca
Subject
MHC
Binding specificity
HLA-C
Otras Medicina Básica
Medicina Básica
CIENCIAS MÉDICAS Y DE LA SALUD
Access level
Open access
License
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repository
CONICET Digital (CONICET)
Institution
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identifier
oai:ri.conicet.gov.ar:11336/18026