Reference
Reference TypeLiterature
TitleDeciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity.
AuthorsMichal Bassani-Sternberg; ChloƩ Chong; Philippe Guillaume; Marthe Solleder; HuiSong Pak; Philippe O Gannon; Lana E Kandalaft; George Coukos; David Gfeller
AffiliationsLudwig Centre for Cancer Research, University of Lausanne, Epalinges, Switzerland; Department of Fundamental Oncology, University Hospital of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
JournalPLoS Comput Biol
Year2017
AbstractThe precise identification of Human Leukocyte Antigen class I (HLA-I) binding motifs plays a central role in our ability to understand and predict (neo-)antigen presentation in infectious diseases and cancer. Here, by exploiting co-occurrence of HLA-I alleles across ten newly generated as well as forty public HLA peptidomics datasets comprising more than 115,000 unique peptides, we show that we can rapidly and accurately identify many HLA-I binding motifs and map them to their corresponding alleles without any a priori knowledge of HLA-I binding specificity. Our approach recapitulates and refines known motifs for 43 of the most frequent alleles, uncovers new motifs for 9 alleles that up to now had less than five known ligands and provides a scalable framework to incorporate additional HLA peptidomics studies in the future. The refined motifs improve neo-antigen and cancer testis antigen predictions, indicating that unbiased HLA peptidomics data are ideal for in silico predictions of neo-antigens from tumor exome sequencing data. The new motifs further reveal distant modulation of the binding specificity at P2 for some HLA-I alleles by residues in the HLA-I binding site but outside of the B-pocket and we unravel the underlying mechanisms by protein structure analysis, mutagenesis and in vitro binding assays.
Curation Last Updated2025-02-27 20:17:56
Epitope
Epitope ID428441
Chemical TypeLinear peptide
Linear SequenceYATFIVTNY
Source Molecule NamenmrA-like family domain-containing protein 1
Source OrganismHomo sapiens (human)
Starting Position73
Ending Position81
Epitope Reference Details
Epitope Structure DefinesExact Epitope
Epitope NameYATFIVTNY
Location of Data in ReferenceS1 Dataset
In Vivo Processing
Host OrganismHomo sapiens (human)
Host Details
MHC Types presentHLA-A*02:01;HLA-B*18:01;HLA-B*38:01;HLA-C*05:01;HLA-A*01:01;HLA-A*23:01;HLA-B*07:02;HLA-B*15:01;HLA-C*12:03;HLA-C*14:02
In Vivo Process
In Vivo Process TypeOccurrence of cancer
Disease Stateskin melanoma
Disease StageChronic;OGMS:0000064
Antigen Processing Comments
Antigen Processing CommentsTumor-infiltrating lymphocytes (TIL) expanded from two melanoma tumors were used.
MHC Ligand Assay
Qualitative MeasurementPositive
Method/Techniquecellular MHC/mass spectrometry
Measurement ofligand presentation
Antigen Presenting Cells
Cell Tissue TypeSkin
Cell TypeLymphocyte
Cell Culture ConditionsCell Line / Clone
MHC Allele
MHC Allele NameHLA class I
MHC Evidence CodeElution with MHC specific antibody
MHC Ligand
Epitope RelationEpitope
Chemical TypeLinear peptide
Linear SequenceYATFIVTNY
Source Molecule NamenmrA-like family domain-containing protein 1
Source OrganismHomo sapiens (human)
Starting Position73
Ending Position81
Assay Reference Details
Location of Assay Data in ReferenceS1 Dataset