Unknown

Dataset Information

0

Rodríguez-Jorge2019 - Boolean model of combined TCR and TLR5 signaling for CD4 + T cell activation


ABSTRACT: CD4+ T cells recognize antigens through their T cell receptors (TCRs); however, additional signals involving costimulatory receptors, for example, CD28, are required for proper T cell activation. Alternative costimulatory receptors have been proposed, including members of the Toll-like receptor (TLR) family, such as TLR5 and TLR2. To understand the molecular mechanism underlying a potential costimulatory role for TLR5, we generated detailed molecular maps and logical models for the TCR and TLR5 signaling pathways and a merged model for cross-interactions between the two pathways. Furthermore, we validated the resulting model by analyzing how T cells responded to the activation of these pathways alone or in combination, in terms of the activation of the transcriptional regulators CREB, AP-1 (c-Jun), and NF-κB (p65). Our merged model accurately predicted the experimental results, showing that the activation of TLR5 can play a similar role to that of CD28 activation with respect to AP-1, CREB, and NF-κB activation, thereby providing insights regarding the cross-regulation of these pathways in CD4+ T cells.

SUBMITTER: Denis Thieffry 

PROVIDER: MODEL1903260003 | biostudies-other |

SECONDARY ACCESSION(S): 30992399

REPOSITORIES: biostudies-other

altmetric image

Publications


CD4<sup>+</sup> T cells recognize antigens through their T cell receptors (TCRs); however, additional signals involving costimulatory receptors, for example, CD28, are required for proper T cell activation. Alternative costimulatory receptors have been proposed, including members of the Toll-like receptor (TLR) family, such as TLR5 and TLR2. To understand the molecular mechanism underlying a potential costimulatory role for TLR5, we generated detailed molecular maps and logical models for the TC  ...[more]

Similar Datasets

| MODEL1903260001 | biostudies-other
| MODEL1903260002 | biostudies-other
| S-EPMC2810084 | biostudies-literature
| S-EPMC2732795 | biostudies-literature
2021-04-06 | MODEL1903260003 | BioModels
2021-04-06 | MODEL1903260001 | BioModels
| S-EPMC5976539 | biostudies-literature