HLA-C*05:01 binding "SAEPVPLQL" at 2.32Å resolution
Data provenance
Information sections
- Publication
- Peptide details
- Peptide neighbours
- Binding cleft pockets
- Chain sequences
- Downloadable data
- Data license
- Footnotes
Complex type
HLA-C*05:01
SAEPVPLQL
Species
Locus / Allele group
Structural and regulatory diversity shape HLA-C protein expression levels.
Expression of HLA-C varies widely across individuals in an allele-specific manner. This variation in expression can influence efficacy of the immune response, as shown for infectious and autoimmune diseases. MicroRNA binding partially influences differential HLA-C expression, but the additional contributing factors have remained undetermined. Here we use functional and structural analyses to demonstrate that HLA-C expression is modulated not just at the RNA level, but also at the protein level. Specifically, we show that variation in exons 2 and 3, which encode the α1/α2 domains, drives differential expression of HLA-C allomorphs at the cell surface by influencing the structure of the peptide-binding cleft and the diversity of peptides bound by the HLA-C molecules. Together with a phylogenetic analysis, these results highlight the diversity and long-term balancing selection of regulatory factors that modulate HLA-C expression.
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
SER
PHE33
MET5
TYR171
TYR159
TYR7
TRP167
LYS66
GLU63
TYR59
ARG62
|
P2
ALA
GLU63
TYR99
TYR67
TYR159
TYR7
TYR9
LYS66
|
P3
GLU
TYR99
TYR9
LYS66
ASN114
TYR159
ARG156
ARG97
|
P4
PRO
TYR159
ARG69
LYS66
|
P5
VAL
ARG156
ARG69
|
P6
PRO
THR73
ARG156
ARG69
ARG97
GLU152
GLN70
LYS66
|
P7
LEU
GLU152
ASN114
ASP74
ARG97
THR73
TRP133
TRP147
ARG156
GLN70
ASN77
PHE116
|
P8
GLN
VAL76
LYS80
THR73
TRP147
ASN77
LYS146
GLU152
|
P9
LEU
LEU95
LYS146
TYR84
THR143
TYR123
ASN77
LYS80
PHE116
LEU81
TRP147
ILE142
|
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
LEU159
CYS163
LEU167
LEU171
ARG5
TRP59
THR63
TYR66
PHE7
|
B Pocket
VAL24
GLN34
GLU45
THR63
TYR66
LYS67
PHE7
ALA70
THR9
GLY99
|
C Pocket
ALA70
ASP73
ARG74
THR9
MET97
|
D Pocket
GLN114
ARG155
ARG156
LEU159
GLU160
GLY99
|
E Pocket
GLN114
GLU147
ALA152
ARG156
MET97
|
F Pocket
ALA116
ILE123
GLN143
TRP146
GLU147
LEU77
LEU80
ARG81
TYR84
GLN95
|
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-C*05:01
IPD-IMGT/HLA
[ipd-imgt:HLA35265] |
10 20 30 40 50 60
SHSMRYFYTAVSRPGRGEPRFIAVGYVDDTQFVQFDSDAASPRGEPRAPWVEQEGPEYWD 70 80 90 100 110 120 RETQKYKRQAQTDRVNLRKLRGYYNQSEAGSHTLQRMYGCDLGPDGRLLRGYNQFAYDGK 130 140 150 160 170 180 DYIALNEDLRSWTAADKAAQITQRKWEAAREAEQRRAYLEGTCVEWLRRYLENGKKTLQR 190 200 210 220 230 240 AEHPKTHVTHHPVSDHEATLRCWALGFYPAEITLTWQRDGEDQTQDTELVETRPAGDGTF 250 260 270 QKWAAVVVPSGEEQRYTCHVQHEGLPEPLTLRWGPSS |
3. Peptide
|
SAEPVPLQL
|
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.