2017
DOI: 10.1172/jci.insight.92570
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TCR-ligand dissociation rate is a robust and stable biomarker of CD8+ T cell potency

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Cited by 38 publications
(58 citation statements)
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References 70 publications
(152 reference statements)
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“…FA changes in vitro depended on the timing postactivation, and the antigen concentration used, which both impact the activation-dependent changes in receptor levels involved in the immune synapse, and consequently the FA. Similar activation state-dependent FA changes can also be observed in human CD8 T-cell clones analyzed in vitro [28]. These results also point to an important methodological aspect: in order to obtain reproducible FA data, T-cell clones must always be analyzed after the same number of days since their last restimulation.…”
Section: Discussionsupporting
confidence: 65%
See 1 more Smart Citation
“…FA changes in vitro depended on the timing postactivation, and the antigen concentration used, which both impact the activation-dependent changes in receptor levels involved in the immune synapse, and consequently the FA. Similar activation state-dependent FA changes can also be observed in human CD8 T-cell clones analyzed in vitro [28]. These results also point to an important methodological aspect: in order to obtain reproducible FA data, T-cell clones must always be analyzed after the same number of days since their last restimulation.…”
Section: Discussionsupporting
confidence: 65%
“…Supporting Information Fig. 3 shows these previously published data [28] in more detail, where peptide-specific CD8 T-cell clones were cultured from the PBMC of vaccinated melanoma patients. These results emphasize that human CD8 Tcell clones consistently increase their FA from day 10 to day 15 after restimulation, in parallel to the steady reduction of their activation state [28].…”
Section: Fa Improves In Vitro With Increased Time After Activationmentioning
confidence: 98%
“…TCR-ligand dissociation rate stands out as a robust biomarker to directly evaluate and quantify the potency of an immunotherapy intervention (e.g., the type of peptide used for vaccination) in melanoma patients (33,34). To explore the impact of TCR/CD8binding avidity for pMHC on different vaccine-induced T-cell responses according to peptide and CpG doses, we generated large representative libraries of Melan-A-specific CD8 T-cell clones (n = 454) derived from effector-memory CD28 pos (early-differentiated EM28 pos ) or CD28 neg (late-differentiated EM28 neg ) cells by direct ex vivo sorting and cloning from seven melanoma patients ( Figure 1E, Supplementary Figure 3).…”
Section: High Peptide Dose Favors the Early Selection Of Vaccine-indumentioning
confidence: 99%
“…Consequently, there is a large body of evidence revealing that enhanced TCR-pMHC binding avidity correlates with augmented T-cell functionality (26)(27)(28)(29)(30) as well as in vivo improved tumor growth control in cancer patients (31,32). Using fluorescent reversible NTAmers, we recently showed that the TCR-pMHC binding avidity accurately predicted T-cell functional potency of anti-cancer and virus-specific CD8 T-cell responses (33). Moreover, we performed a complete characterization of TCR-pMHC avidity of tumorspecific CD8 T-cells induced by peptide-based vaccination of melanoma patients and found differences in TCR-pMHC binding avidity depending on the type of Melan-A MART−1 26−35 peptide used for vaccination.…”
Section: Introductionmentioning
confidence: 99%
“…Using reversible MHC multimers, such as MHC streptamers, it is possible to precisely determine the k off ‐rate of surface‐bound pMHC monomers and thereby calculate the half‐life of TCR‐pMHC/CD8 interactions . k off ‐rate assays do not take into account the k on ‐rate and thereby do not measure TCR avidity per se, but the k off ‐rate has been shown to be predictive of both structural avidity and in vivo functionality, although this correlation may not necessarily be completely linear. Early work hinted at an optimal dwell‐time of interactions between TCRs and pMHC complexes, and also most of experimental data that accumulated over the years thereafter supported a kinetic proofreading model of T‐cell activation with limited signaling, which suggested an optimal dissociation time for maximum T‐cell activation .…”
Section: Generation Of Naive Tcr Repertoiresmentioning
confidence: 99%