grant

The role of positive and negative regulation on ligand discrimination by the TCR signaling pathway

Organization UNIVERSITY OF CALIFORNIA, SAN FRANCISCOLocation SAN FRANCISCO, UNITED STATESPosted 15 Jul 2011Deadline 30 Apr 2027
NIHUS FederalResearch GrantFY202570 kDa zeta-associated proteinAgonistAllelesAllelomorphsBindingBiochemistryBiological ChemistryCD3CD3 AntigensCD3 ComplexCD3 moleculeCancersCell BodyCell Communication and SignalingCell SignalingCellsCognitive DiscriminationComplexComputer ModelsComputerized ModelsDataDependenceDiscriminationDiseaseDisorderDistalEPH- and ELK-Related Tyrosine KinaseEPH-and ELK-Related KinaseEphrin Type-A Receptor 8Ephrin Type-A Receptor 8 PrecursorEventFeedbackGene TranscriptionGeneticGenetic TranscriptionHalf-LifeIndividualIntracellular Communication and SignalingKinasesKineticsLeadLigandsMHC ReceptorMajor Histocompatibility Complex ReceptorMalignant CellMalignant NeoplasmsMalignant TumorMediatingMembraneModelingMolecularMolecular InteractionNoiseOKT3 antigenPathway interactionsPatientsPb elementPeptide-MHCPeptide-Major Histocompatibility Protein ComplexPeptide/MHC ComplexPeptidesPhosphatasesPhosphohydrolasesPhosphomonoesterasesPhosphoric Monoester HydrolasesPhosphorylationPhosphotransferase GenePhosphotransferasesPhysical condensationPhysicsPlayProbabilityPropertyProtein PhosphorylationProtein Tyrosine KinaseProtein Tyrosine Kinase EEKProtein Tyrosine Kinase Zap70ProteinsRNA ExpressionReagentReceptor ProteinReceptor SignalingRegulationRestRoleSRKSeriesSignal PathwaySignal TransductionSignal Transduction SystemsSignalingSourceSpecificityStudy modelsSyk-related tyrosine kinaseSystemT-Cell ActivationT-Cell Antigen ReceptorsT-Cell ReceptorT-CellsT-LymphocyteT3 AntigensT3 ComplexT3 moleculeTestingTimeTitrationsTranscriptionTransphosphorylasesTyrosine KinaseTyrosine PhosphorylationTyrosine-Protein Kinase Receptor EEKTyrosine-Specific Protein KinaseTyrosylprotein KinaseWorkZAP-70ZAP-70 GeneZAP-70 KinaseZAP-70 proteinZAP70Zeta-Chain Associated Protein Kinaseactivate T cellsadaptive immune responsebiological signal transductioncancer cellcomputational modelingcomputational modelscomputational studiescomputer based modelscomputer studiescomputerized modelingcondensationexperimentexperimental researchexperimental studyexperimentsheavy metal Pbheavy metal leadhydroxyaryl protein kinaseimmunopathologyin vivoinhibitormalignancymembrane structuremouse modelmurine modelmutantneoplasm/cancerpMHCpathogenpathwayprogramsreceptorreconstitutereconstitutionrecruitresponsesingle moleculesocial rolethymus derived lymphocytetooltyrosyl protein kinase
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Full Description

ABSTRACT - PROJECT 2
T lymphocytes (T cells) play a key role in orchestrating an adaptive immune response to infectious pathogens

as well as cancer cells. T cells express T cell antigen receptors (TCRs) that respond specifically to MHC-

associated antigenic peptides (pMHC) derived from pathogens or mutant self-proteins of cancer cells. Upon TCR

engagement with such agonist pMHC, intracellular signaling ensues, ultimately leading to new gene transcription

programs required for T cell activation. In the homeostatic state in vivo, naïve T cells require shorter duration

TCR engagement with self-pMHC to produce tonic signaling events that are required for their survival and

homoeostasis. However, these tonic signals do not lead to cell activation as that would result in

immunopathology. The half-life differences between ligands that induce tonic signals and agonists are not large.

Kinetic proofreading is considered to be the conceptual framework for understanding the fine specificity with

which the TCR signaling pathway discriminates between ligands. In spite of much progress in understanding

membrane-proximal TCR signaling and ligand discrimination, how the tonic survival signals qualitatively or

quantitatively differ from activation signals is not completely known. Based on preliminary data, we hypothesize

that TCR signaling events resulting from interactions with self-pMHC and agonist-pMHC differ because of

feedback regulatory mechanisms superimposed on kinetic proofreading both proximally and distally from the

TCR. We propose to determine the mechanisms underlying such feedback regulation and their impact on ligand

discrimination by bringing together computational modeling, biochemistry, mouse models, and single molecule

experiments in live cells and reconstituted systems. We will focus on two specific aims. In Aim 1, we will define

negative feedback loops and where they act to regulate ligand discrimination. Our preliminary modeling

studies have predicted that that negative feedback, proximal but not distal to the TCR, is important for dampening

noise and inappropriate responses to self-pMHC. We will explore the involvement of 3 proximal negative

feedback loops. Synergistic computational and experimental studies are expected to identify the sources, nodes

of action, and impact of these negative feedback loops on ligand discrimination. In Aim 2, we will determine

the mechanisms underlying the formation of the LAT condensate and its role in positive regulatory

feedback. Our modeling studies suggest that positive feedback regulation distal from the receptor, but still

responsive to TCR-pMHC dwell time, is important for a robust response to stimulation by agonists. Our

preliminary experimental data reveal that LAT, a key regulator of TCR signaling, forms discrete condensates in

response to individual TCR-pMHC binding events. By combining statistical physics-based modeling with

experiments, we will dissect the mechanism of LAT condensation nucleation and its dependence on TCR-pMHC

binding dwell time, and the role of LAT condensation in mediating positive feedback regulation via SOS-catalyzed

Ras activation. The work proposed in this project bridges studies to be conducted in Projects 1, 3 and 4.

Grant Number: 5P01AI091580-14
NIH Institute/Center: NIH

Principal Investigator: Arup Chakraborty

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