HLA-A*02:01 binding "LLLPLLPPL" at 1.95Å resolution
Data provenance
Information sections
- Publication
- Peptide details
- Peptide neighbours
- Binding cleft pockets
- Chain sequences
- Downloadable data
- Data license
- Footnotes
Complex type
HLA-A*02:01
LLLPLLPPL
Species
Locus / Allele group
Cross-HLA targeting of intracellular oncoproteins with peptide-centric CARs.
The majority of oncogenic drivers are intracellular proteins, thus constraining their immunotherapeutic targeting to mutated peptides (neoantigens) presented by individual human leukocyte antigen (HLA) allotypes1. However, most cancers have a modest mutational burden that is insufficient to generate responses using neoantigen-based therapies2,3. Neuroblastoma is a paediatric cancer that harbours few mutations and is instead driven by epigenetically deregulated transcriptional networks4. Here we show that the neuroblastoma immunopeptidome is enriched with peptides derived from proteins that are essential for tumourigenesis and focus on targeting the unmutated peptide QYNPIRTTF, discovered on HLA-A*24:02, which is derived from the neuroblastoma dependency gene and master transcriptional regulator PHOX2B. To target QYNPIRTTF, we developed peptide-centric chimeric antigen receptors (CARs) using a counter-panning strategy with predicted potentially cross-reactive peptides. We further hypothesized that peptide-centric CARs could recognize peptides on additional HLA allotypes when presented in a similar manner. Informed by computational modelling, we showed that PHOX2B peptide-centric CARs also recognize QYNPIRTTF presented by HLA-A*23:01 and the highly divergent HLA-B*14:02. Finally, we demonstrated potent and specific killing of neuroblastoma cells expressing these HLAs in vitro and complete tumour regression in mice. These data suggest that peptide-centric CARs have the potential to vastly expand the pool of immunotherapeutic targets to include non-immunogenic intracellular oncoproteins and widen the population of patients who would benefit from such therapy by breaking conventional HLA restriction.
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
LEU
THR164
GLU64
TYR60
LYS67
TYR8
TRP168
TYR172
MET6
PHE34
TYR160
|
P2
LEU
TYR8
TYR100
TYR160
MET46
GLU64
PHE10
VAL68
LYS67
HIS71
|
P3
LEU
LYS67
GLN156
LEU157
HIS71
TYR160
HIS115
TYR100
|
P4
PRO
TYR160
ARG66
LYS67
|
P5
LEU
GLN156
LEU157
|
P6
LEU
HIS115
TYR100
HIS75
THR74
ARG98
HIS71
|
P7
PRO
THR74
ASP78
VAL153
TRP148
GLN156
ARG98
|
P8
PRO
VAL77
THR74
ASP78
LYS147
TRP148
|
P9
LEU
LEU82
TYR117
TYR85
TYR124
ASP78
LYS147
THR144
TRP148
THR81
|
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
ALA159
GLY163
GLU167
ARG171
SER5
GLU59
GLY63
ARG66
ARG7
|
B Pocket
ILE24
PHE34
ARG45
GLY63
ARG66
LYS67
ARG7
ALA70
PHE9
MET99
|
C Pocket
ALA70
GLN73
THR74
PHE9
GLN97
|
D Pocket
TYR114
GLU155
GLN156
ALA159
TYR160
MET99
|
E Pocket
TYR114
LYS147
HIS152
GLN156
GLN97
|
F Pocket
GLN116
ASP123
THR143
HIS146
LYS147
VAL77
GLY80
THR81
GLY84
THR95
|
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-A*02:01
IPD-IMGT/HLA
[ipd-imgt:HLA35266] |
10 20 30 40 50 60
MGSHSMRYFFTSVSRPGRGEPRFIAVGYVDDTQFVRFDSDAASQRMEPRAPWIEQEGPEY 70 80 90 100 110 120 WDGETRKVKAHSQTHRVDLGTLRGYYNQSEAGSHTVQRMYGCDVGSDWRFLRGYHQYAYD 130 140 150 160 170 180 GKDYIALKEDLRSWTAADMAAQTTKHKWEAAHVAEQLRAYLEGTCVEWLRRYLENGKETL 190 200 210 220 230 240 QRTDAPKTHMTHHAVSDHEATLRCWALSFYPAEITLTWQRDGEDQTQDTELVETRPAGDG 250 260 270 TFQKWAAVVVPSGQEQRYTCHVQHEGLPKPLTLRWEP |
3. Peptide
|
LLLPLLPPL
|
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.