HLA-B*08:01 binding "QIKVRVDMV" at 1.58Å resolution
Data provenance
Information sections
- Publication
- Peptide details
- Peptide neighbours
- Binding cleft pockets
- Chain sequences
- Downloadable data
- Data license
- Footnotes
Complex type
HLA-B*08:01
QIKVRVDMV
Species
Locus / Allele group
Inability To Detect Cross-Reactive Memory T Cells Challenges the Frequency of Heterologous Immunity among Common Viruses.
Human memory T cells that cross-react with epitopes from unrelated viruses can potentially modulate immune responses to subsequent infections by a phenomenon termed heterologous immunity. However, it is unclear whether similarities in structure rather than sequence underpin heterologous T cell cross-reactivity. In this study, we aimed to explore the mechanism of heterologous immunity involving immunodominant epitopes derived from common viruses restricted to high-frequency HLA allotypes (HLA-A*02:01, -B*07:02, and -B*08:01). We examined EBV-specific memory T cells for their ability to cross-react with CMV or influenza A virus-derived epitopes. Following T cell immunoassays to determine phenotype and function, complemented with biophysical and structural investigations of peptide/HLA complexes, we did not detect cross-reactivity of EBV-specific memory T cells toward either CMV or influenza A virus epitopes presented by any of the selected HLA allomorphs. Thus, despite the ubiquitous nature of these human viruses and the dominant immune response directed toward the selected epitopes, heterologous virus-specific T cell cross-reactivity was not detected. This suggests that either heterologous immunity is not as common as previously reported, or that it requires a very specific biological context to develop and be clinically relevant.
Structure deposition and release
Data provenance
Publication data retrieved from PDBe REST API8 and PMCe REST API9
Other structures from this publication
Data provenance
MHC:peptide complexes are visualised using PyMol. The peptide is superimposed on a consistent cutaway slice of the MHC binding cleft (displayed as a grey mesh) which best indicates the binding pockets for the P1/P5/PC positions (side view - pockets A, E, F) and for the P2/P3/PC-2 positions (top view - pockets B, C, D). In some cases peptides will use a different pocket for a specific peptide position (atypical anchoring). On some structures the peptide may appear to sterically clash with a pocket. This is an artefact of picking a standardised slice of the cleft and overlaying the peptide.
Peptide neighbours
P1
GLN
TRP167
TYR159
TYR59
ARG62
ASN63
PHE33
MET5
TYR171
TYR7
TYR99
ILE66
THR163
|
P2
ILE
SER24
ILE66
PHE67
TYR159
ASN63
PHE36
TYR7
ASN70
TYR99
|
P3
LYS
TYR159
ASN70
TYR99
TYR116
ASN114
ASP156
ILE66
|
P4
VAL
ASP156
ILE66
THR69
ASN70
|
P5
ARG
ASN70
TYR99
ASP9
ASP74
TYR116
PHE22
THR69
THR73
SER97
|
P6
VAL
THR69
THR73
|
P7
ASP
ALA150
SER77
THR73
TRP147
VAL152
|
P8
MET
GLU76
SER77
ASN80
THR73
LYS146
TRP147
|
P9
VAL
LEU95
ASN80
SER77
THR143
LEU81
TYR123
LYS146
TYR116
TRP147
ILE142
TYR84
|
Colour key
Data provenance
Neighbours are calculated by finding residues with atoms within 5Å of each other using BioPython Neighboursearch module. The list of neighbours is then sorted and filtered to inlcude only neighbours where between the peptide and the MHC Class I alpha chain.
Colours selected to match the YRB scheme. [https://www.frontiersin.org/articles/10.3389/fmolb.2015.00056/full]
A Pocket
TYR159
THR163
TRP167
TYR171
MET5
TYR59
ASN63
ILE66
TYR7
|
B Pocket
SER24
VAL34
GLU45
ASN63
ILE66
PHE67
TYR7
ASN70
ASP9
TYR99
|
C Pocket
ASN70
THR73
ASP74
ASP9
SER97
|
D Pocket
ASN114
GLN155
ASP156
TYR159
LEU160
TYR99
|
E Pocket
ASN114
TRP147
VAL152
ASP156
SER97
|
F Pocket
TYR116
TYR123
THR143
LYS146
TRP147
SER77
ASN80
LEU81
TYR84
LEU95
|
Colour key
Data provenance
1. Beta 2 microglobulin
Beta 2 microglobulin
|
10 20 30 40 50 60
MIQRTPKIQVYSRHPAENGKSNFLNCYVSGFHPSDIEVDLLKNGERIEKVEHSDLSFSKD 70 80 90 WSFYLLYYTEFTPTEKDEYACRVNHVTLSQPKIVKWDRDM |
2. Class I alpha
HLA-B*08:01
IPD-IMGT/HLA
[ipd-imgt:HLA34671] |
10 20 30 40 50 60
GSHSMRYFDTAMSRPGRGEPRFISVGYVDDTQFVRFDSDAASPREEPRAPWIEQEGPEYW 70 80 90 100 110 120 DRNTQIFKTNTQTDRESLRNLRGYYNQSEAGSHTLQSMYGCDVGPDGRLLRGHNQYAYDG 130 140 150 160 170 180 KDYIALNEDLRSWTAADTAAQITQRKWEAARVAEQDRAYLEGTCVEWLRRYLENGKDTLE 190 200 210 220 230 240 RADPPKTHVTHHPISDHEATLRCWALGFYPAEITLTWQRDGEDQTQDTELVETRPAGDRT 250 260 270 FQKWAAVVVPSGEEQRYTCHVQHEGLPKPLTLRWEP |
3. Peptide
|
QIKVRVDMV
|
Data provenance
Sequences are retrieved via the Uniprot method of the RSCB REST API. Sequences are then compared to those derived from the PDB file and matched against sequences retrieved from the IPD-IMGT/HLA database for human sequences, or the IPD-MHC database for other species. Mouse sequences are matched against FASTA files from Uniprot. Sequences for the mature extracellular protein (signal petide and cytoplasmic tail removed) are compared to identical length sequences from the datasources mentioned before using either exact matching or Levenshtein distance based matching.
Downloadable data
Components
Data license
Footnotes
- Protein Data Bank Europe - Coordinate Server
- 1HHK - HLA-A*02:01 binding LLFGYPVYV at 2.5Å resolution - PDB entry for 1HHK
- Protein structure alignment by incremental combinatorial extension (CE) of the optimal path. - PyMol CEALIGN Method - Publication
- PyMol - PyMol.org/pymol
- Levenshtein distance - Wikipedia entry
- Protein Data Bank Europe REST API - Molecules endpoint
- 3Dmol.js: molecular visualization with WebGL - 3DMol.js - Publication
- Protein Data Bank Europe REST API - Publication endpoint
- PubMed Central Europe REST API - Articles endpoint
This work is licensed under a Creative Commons Attribution 4.0 International License.