<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><volume>12</volume><submitter>Denis Thieffry</submitter><journal>Science signaling</journal><pagination>eaar3641</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL1903260003</full_dataset_link><repository>biostudies-other</repository><additional_accession>30992399</additional_accession><pubmed_authors>Denis Thieffry</pubmed_authors><pubmed_authors>Kausthubh Ramachandran</pubmed_authors></additional><is_claimable>false</is_claimable><name>Rodríguez-Jorge2019 - Boolean model of combined TCR and TLR5 signaling for CD4 + T cell activation</name><description>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.</description><dates><release>2019-03-26T00:00:00Z</release><modification>2025-07-14T17:49:45.521Z</modification><creation>2025-03-30T22:45:38.127Z</creation></dates><accession>MODEL1903260003</accession><cross_references><pubmed>30992399</pubmed><mamo>MAMO_0000030</mamo><unknown>null</unknown></cross_references></HashMap>