CD4 and CD8 can be recruited to triggered T cell receptors in the absence of interaction with the cognate MHC molecules

1997 ◽  
Vol 56 (1-3) ◽  
pp. 59
Author(s):  
A Viola
1991 ◽  
Vol 3 (9) ◽  
pp. 853-864 ◽  
Author(s):  
Ada Prochnicka-Chalufour ◽  
Jean-Laurent Casanova ◽  
Stratis Avrameas ◽  
Jean-Michel Claverie ◽  
Philippe Kourilsky

1993 ◽  
Vol 14 (5) ◽  
pp. 208-212 ◽  
Author(s):  
David L. Woodland ◽  
Marcia A. Blackman

1997 ◽  
Vol 56 ◽  
pp. 59
Author(s):  
A. Viola ◽  
L. Tuosto ◽  
M. Salio ◽  
S. Linkert ◽  
O. Acuto ◽  
...  

Immunology ◽  
2006 ◽  
pp. 105-124
Author(s):  
David Male ◽  
Jonathan Brostoff ◽  
David B Roth ◽  
Ivan Roitt

1992 ◽  
Vol 176 (2) ◽  
pp. 439-447 ◽  
Author(s):  
J L Casanova ◽  
J C Cerottini ◽  
M Matthes ◽  
A Necker ◽  
H Gournier ◽  
...  

We previously showed that H-2Kd-restricted cytotoxic T lymphocyte (CTL) clones specific for a single nonapeptide derived from the Plasmodium berghei circumsporozoite (PbCS) protein displayed T cell receptors (TCRs) of highly diverse primary structure. We have now analyzed the TCR repertoire of CTLs that recognize a peptide derived from the human class I major histocompatibility complex (MHC) molecule HLA-Cw3 in association with the same murine class I MHC molecule H-2Kd. We first sequenced the TCR alpha and beta genes of the CTL clone Cw3/1.1 and, based on this genomic analysis, the TCR alpha and beta cDNA junctional regions of 23 independent H-2Kd-restricted CTL clones specific for HLA-Cw3. The results show that the TCR chains display very limited heterogeneity, both in terms of V alpha, J alpha, V beta, and J beta segments, and in terms of length and sequence of the CDR3 alpha and beta loops. The TCR repertoire used in vivo was then analyzed by harvesting CTL populations from the peritoneal cavity of immune mice. The peritoneal exudate lymphocytes (PELs) displayed HLA-Cw3-specific cytolytic activity in the absence of any stimulation in vitro. Remarkably, most of these freshly isolated PELs expressed TCRs that shared the same structural features as those from HLA-Cw3-reactive CTL clones. Thus, our results show that a peptide from HLA-Cw3 presented by H-2Kd selects CTLs that bear TCRs of very limited diversity in vivo. When taken together with the high diversity of the TCRs specific for the PbCS peptide, these findings suggest that natural tolerance to self peptides presented by class I MHC molecules may substantially reduce the size of the TCR repertoire of CTLs specific for antigenic peptides homologous to self.


2002 ◽  
Vol 58 (s1) ◽  
pp. c282-c282
Author(s):  
J.-B. Reiser ◽  
C. Darnault ◽  
C. Gregoire ◽  
T. Mosser ◽  
A. Guimezanes ◽  
...  

2017 ◽  
Author(s):  
Nicolas De Neuter ◽  
Wout Bittremieux ◽  
Charlie Beirnaert ◽  
Bart Cuypers ◽  
Aida Mrzic ◽  
...  

Abstract:Current T-cell epitope prediction tools are a valuable resource in designing targeted immunogenicity experiments. They typically focus on, and are able to, accurately predict peptide binding and presentation by major histocompatibility complex (MHC) molecules on the surface of antigen-presenting cells. However, recognition of the peptide-MHC complex by a T-cell receptor is often not included in these tools. We developed a classification approach based on random forest classifiers to predict recognition of a peptide by a T-cell and discover patterns that contribute to recognition. We considered two approaches to solve this problem: (1) distinguishing between two sets of T-cell receptors that each bind to a known peptide and (2) retrieving T-cell receptors that bind to a given peptide from a large pool of T-cell receptors. Evaluation of the models on two HIV-1, B*08-restricted epitopes reveals good performance and hints towards structural CDR3 features that can determine peptide immunogenicity. These results are of particularly importance as they show that prediction of T-cell epitope and T-cell epitope recognition based on sequence data is a feasible approach. In addition, the validity of our models not only serves as a proof of concept for the prediction of immunogenic T-cell epitopes but also paves the way for more general and high performing models.


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