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PDBsum entry 3o4l

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Immune system PDB id
3o4l

 

 

 

 

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Contents
Protein chains
276 a.a.
100 a.a.
195 a.a.
245 a.a.
Ligands
GLY-LEU-CYS-THR-
LEU-VAL-ALA-MET-
LEU
GOL ×11
SO4 ×7
MES
Waters ×336
PDB id:
3o4l
Name: Immune system
Title: Genetic and structural basis for selection of a ubiquitous t cell receptor deployed in epstein-barr virus
Structure: Mhc class i antigen. Chain: a. Beta-2-microglobulin. Chain: b. Synonym: beta-2-microglobulin form pi 5.3. Mutation: yes. Bslf2/bmlf1 protein. Chain: c. Fragment: residues 286-294.
Source: Homo sapiens. Human. Organism_taxid: 9606. Human herpesvirus 4. Epstein-barr virus ebv. Organism_taxid: 10376. Organism_taxid: 9606
Resolution:
2.54Å     R-factor:   0.225     R-free:   0.296
Authors: J.J.Miles,A.M.Bulek,D.K.Cole,E.Gostick,J.A.Schauenburg,G.Dolton, V.Venturi,M.P.Davenport,M.P.Tan,S.R.Burrows,L.Wooldridge,D.A.Price, P.J.Rizkallah,A.K.Sewell
Key ref: J.J.Miles et al. (2010). Genetic and structural basis for selection of a ubiquitous T cell receptor deployed in Epstein-Barr virus infection. Plos Pathog, 6, e1001198. PubMed id: 21124993
Date:
27-Jul-10     Release date:   12-Jan-11    
PROCHECK
Go to PROCHECK summary
 Headers
 References

Protein chain
Pfam   ArchSchema ?
Q8WLS4  (Q8WLS4_HUMAN) -  MHC class I antigen (Fragment) from Homo sapiens
Seq:
Struc:
317 a.a.
276 a.a.
Protein chain
Pfam   ArchSchema ?
P61769  (B2MG_HUMAN) -  Beta-2-microglobulin from Homo sapiens
Seq:
Struc:
119 a.a.
100 a.a.*
Protein chain
Pfam   ArchSchema ?
P01848  (TCA_HUMAN) -  T cell receptor alpha chain constant from Homo sapiens
Seq:
Struc:
140 a.a.
195 a.a.*
Protein chain
Pfam   ArchSchema ?
P01850  (TRBC1_HUMAN) -  T cell receptor beta constant 1 from Homo sapiens
Seq:
Struc:
176 a.a.
245 a.a.*
Key:    PfamA domain  Secondary structure  CATH domain
* PDB and UniProt seqs differ at 7 residue positions (black crosses)

 

 
Plos Pathog 6:e1001198 (2010)
PubMed id: 21124993  
 
 
Genetic and structural basis for selection of a ubiquitous T cell receptor deployed in Epstein-Barr virus infection.
J.J.Miles, A.M.Bulek, D.K.Cole, E.Gostick, A.J.Schauenburg, G.Dolton, V.Venturi, M.P.Davenport, M.P.Tan, S.R.Burrows, L.Wooldridge, D.A.Price, P.J.Rizkallah, A.K.Sewell.
 
  ABSTRACT  
 
Despite the ∼10(18) αβ T cell receptor (TCR) structures that can be randomly manufactured by the human thymus, some surface more frequently than others. The pinnacles of this distortion are public TCRs, which exhibit amino acid-identical structures across different individuals. Public TCRs are thought to result from both recombinatorial bias and antigen-driven selection, but the mechanisms that underlie inter-individual TCR sharing are still largely theoretical. To examine this phenomenon at the atomic level, we solved the co-complex structure of one of the most widespread and numerically frequent public TCRs in the human population. The archetypal AS01 public TCR recognizes an immunodominant BMLF1 peptide, derived from the ubiquitous Epstein-Barr virus, bound to HLA-A*0201. The AS01 TCR was observed to dock in a diagonal fashion, grasping the solvent exposed peptide crest with two sets of complementarity-determining region (CDR) loops, and was fastened to the peptide and HLA-A*0201 platform with residue sets found only within TCR genes biased in the public response. Computer simulations of a random V(D)J recombination process demonstrated that both TCRα and TCRβ amino acid sequences could be manufactured easily, thereby explaining the prevalence of this receptor across different individuals. Interestingly, the AS01 TCR was encoded largely by germline DNA, indicating that the TCR loci already comprise gene segments that specifically recognize this ancient pathogen. Such pattern recognition receptor-like traits within the αβ TCR system further blur the boundaries between the adaptive and innate immune systems.
 

Literature references that cite this PDB file's key reference

  PubMed id Reference
22918468 A.K.Sewell (2012).
Why must T cells be cross-reactive?
  Nat Rev Immunol, 12, 669-677.  
The most recent references are shown first. Citation data come partly from CiteXplore and partly from an automated harvesting procedure. Note that this is likely to be only a partial list as not all journals are covered by either method. However, we are continually building up the citation data so more and more references will be included with time.

 

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