Journal article icon

Journal article

Comparative analysis of the CDR loops of antigen receptors

Abstract:
The adaptive immune system uses two main types of antigen receptors: T-cell receptors (TCRs) and antibodies. While both proteins share a globally similar β-sandwich architecture, TCRs are specialised to recognise peptide antigens in the binding groove of the major histocompatibility complex, while antibodies can bind an almost infinite range of molecules. For both proteins, the main determinants of target recognition are the complementarity-determining region (CDR) loops. Five of the six CDRs adopt a limited number of backbone conformations, known as the ′canonical classes′ ; the remaining CDR (β3 in TCRs and H3 in antibodies) is more structurally diverse. In this paper, we first update the definition of canonical forms in TCRs, build an auto-updating sequence-based prediction tool (available at http://opig.stats.ox.ac.uk/resources) and demonstrate its application on large scale sequencing studies. Given the global similarity of TCRs and antibodies, we then examine the structural similarity of their CDRs. We find that TCR and antibody CDRs tend to have different length distributions, and where they have similar lengths, they mostly occupy distinct structural spaces. In the rare cases where we found structural similarity, the underlying sequence patterns for the TCR and antibody version are different. Finally, where multiple structures have been solved for the same CDR sequence, the structural variability in TCR loops is higher than that in antibodies, suggesting TCR CDRs are more flexible. These structural differences between TCR and antibody CDRs may be important to their different biological functions.
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.3389/fimmu.2019.02454

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
New College
Role:
Author
ORCID:
0000-0003-4029-6902
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Statistics
Role:
Author


Publisher:
Frontiers Media
Journal:
Frontiers in Immunology More from this journal
Volume:
10
Article number:
2454
Publication date:
2019-10-15
Acceptance date:
2019-10-01
DOI:
EISSN:
1664-3224


Keywords:
Pubs id:
pubs:1059265
UUID:
uuid:a72cf7ff-85f2-4048-8fa9-80d77c970ddf
Local pid:
pubs:1059265
Source identifiers:
1059265
Deposit date:
2019-10-02

Terms of use



Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP