TY - JOUR
T1 - A study of CDR3 loop dynamics reveals distinct mechanisms of peptide recognition by T-cell receptors exhibiting different levels of cross-reactivity
AU - Tsuchiya, Yuko
AU - Namiuchi, Yoshiki
AU - Wako, Hiroshi
AU - Tsurui, Hiromichi
N1 - Funding Information:
Part of this research was carried out as activities of the FMO drug design consortium (FMODD), by using computational resources of the K computer provided by the RIKEN Advanced Institute for Computational Science through the HPCI System Research project (project ID: hp150160 and hp160103 for HT). We thank Y. Eguchi for advice on analysing the FMO data. This work was partially supported by JSPS Grant-in-Aid for Scientific Research (C) (Grant No. 16K00407 for HW and No. 25330349 for HT).
Publisher Copyright:
© 2017 John Wiley & Sons Ltd
PY - 2018/4
Y1 - 2018/4
N2 - T-cell receptors (TCRs) can productively interact with many different peptides bound within the MHC binding groove. This property varies with the level of cross-reactivity of TCRs; some TCRs are particularly hyper cross-reactive while others exhibit greater specificity. To elucidate the mechanism behind these differences, we studied five TCRs in complex with the same class II MHC (1Ab)-peptide (3K), that are known to exhibit different levels of cross-reactivity. Although these complexes have similar binding affinities, the interface areas between the TCR and the peptide–MHC (pMHC) differ significantly. We investigated static and dynamic structural features of the TCR–pMHC complexes and of TCRs in a free state, as well as the relationship between binding affinity and interface area. It was found that the TCRs known to exhibit lower levels of cross-reactivity bound to pMHC using an induced-fitting mechanism, forming large and tight interfaces rich in specific hydrogen bonds. In contrast, TCRs known to exhibit high levels of cross-reactivity used a more rigid binding mechanism where non-specific π-interactions involving the bulky Trp residue in CDR3β dominated. As entropy loss upon binding in these highly degenerate and rigid TCRs is smaller than that in less degenerate TCRs, they can better tolerate changes in residues distal from the major contacts with MHC-bound peptide. Hence, our dynamics study revealed that differences in the peptide recognition mechanisms by TCRs appear to correlate with the levels of T-cell cross-reactivity.
AB - T-cell receptors (TCRs) can productively interact with many different peptides bound within the MHC binding groove. This property varies with the level of cross-reactivity of TCRs; some TCRs are particularly hyper cross-reactive while others exhibit greater specificity. To elucidate the mechanism behind these differences, we studied five TCRs in complex with the same class II MHC (1Ab)-peptide (3K), that are known to exhibit different levels of cross-reactivity. Although these complexes have similar binding affinities, the interface areas between the TCR and the peptide–MHC (pMHC) differ significantly. We investigated static and dynamic structural features of the TCR–pMHC complexes and of TCRs in a free state, as well as the relationship between binding affinity and interface area. It was found that the TCRs known to exhibit lower levels of cross-reactivity bound to pMHC using an induced-fitting mechanism, forming large and tight interfaces rich in specific hydrogen bonds. In contrast, TCRs known to exhibit high levels of cross-reactivity used a more rigid binding mechanism where non-specific π-interactions involving the bulky Trp residue in CDR3β dominated. As entropy loss upon binding in these highly degenerate and rigid TCRs is smaller than that in less degenerate TCRs, they can better tolerate changes in residues distal from the major contacts with MHC-bound peptide. Hence, our dynamics study revealed that differences in the peptide recognition mechanisms by TCRs appear to correlate with the levels of T-cell cross-reactivity.
KW - CH-π interactions
KW - binding affinity–interface area relationship
KW - cross-reactive T-cell receptor recognition
KW - fragment molecular orbital method
KW - molecular dynamics simulation
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U2 - 10.1111/imm.12849
DO - 10.1111/imm.12849
M3 - Article
C2 - 28992359
AN - SCOPUS:85033212883
SN - 0019-2805
VL - 153
SP - 466
EP - 478
JO - Immunology
JF - Immunology
IS - 4
ER -