grant

Core-002 - Non-Human Primate Core

Organization SCRIPPS RESEARCH INSTITUTE, THELocation LA JOLLA, UNITED STATESPosted 1 Feb 2022Deadline 31 Jan 2027
NIHUS FederalResearch GrantFY2026AffectAnimal EuthanasiaAnimal Mercy KillingAnimal ModelAnimal Models and Related StudiesAnimalsAntibodiesAntibody ResponseAntigensAwarenessBaboonsBiomedical ResearchBloodBlood Reticuloendothelial SystemBlood SampleBlood specimenBody TissuesBreedingCallithrixChronicChronic Hepatitis CChronic type C viral hepatitisChronic viral hepatitis CClinicalCollaborationsCollectionComplexComputing MethodologiesDataDiagnosisExperimental DesignsGeneticGerm LinesGoalsHCVHCV VaccineHapaleHepatic CancerHepatic CirrhosisHepatitis C VaccineHepatitis C virusHistoryHumanImmuneImmune responseImmunesImmunizationIndividualInstitutionInvestigatorsLaboratoriesLiver CirrhosisLong-term infectionM mulattaM. mulattaMacaca mulattaMacaca rhesusMalignant neoplasm of liverMarmosetsModelingModern ManNHP modelsPapioParentsPersonsPreclinical TestingPredictive ValuePrimatesPrimates MammalsProceduresR-Series Research ProjectsR01 MechanismR01 ProgramRecording of previous eventsRegimenResearchResearch GrantsResearch InstituteResearch PersonnelResearch Project GrantsResearch ProjectsResearch ResourcesResearchersResourcesRhesus MacaqueRhesus MonkeyRhesus macaque colonySafetySamplingShort-Tusked MarmosetSiteStructureTestingTexasTissue SampleTissuesToxic effectToxicitiesTrainingVaccinatedVaccinationVaccine AntigenVaccine ResearchVaccinesViral Antigensbiobankbiorepositorychronic HCV infectionchronic hepatitis C infectionchronic hepatitis C virus infectionchronic infectionchronic infections with HCVchronic infections with hepatitis C viruschronically infected with HCVchronically infected with hepatitis Ccomputational methodologycomputational methodscomputer based methodcomputer methodscomputing methoddesigndesigningexperimentexperimental researchexperimental studyexperimentshepatitis C virus vaccinehistorieshost responseimmune system responseimmunogenimmunogenicityimmunoresponseliver cancerliver malignancymalignant liver tumormembermodel of animalnano particlenano-sized particlenanoparticlenanosized particlenew vaccinesnext generation vaccinesnon-human primatenonhuman primatenonhuman primate modelsnovelnovel vaccinesparentpersistent infectionpre-clinical testingpreventpreventingprogramsprotocol developmentrational designrhesus breeding colonyrhesus colonyrhesus macaque breeding colonyrhesus monkey breeding colonyrhesus monkey colonyself assemblyvaccine candidatevaccine-related researchvirus antigen
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Full Description

Summary
Chronic hepatitis C virus (HCV) infection affects an estimated 71 million people worldwide. Chronic HCV

infection frequently leads to liver cirrhosis and predisposes infected individuals to liver cancer.

Approximately, 400,000 die from HCV-related complications a year. While a cure for HCV has recently

been developed, access to and affordability of this treatment is limited. Furthermore, less than 20% of

chronically infected individuals are aware of their diagnosis. Therefore, to eliminate HCV, a vaccine is

still urgently needed. Because of the genetic variability of the HCV, to date HCV vaccines that have been

tested clinically have not been successful at preventing chronic infection. This study takes advantage of

recent structural data of HCV antigen complexes, computational methods to optimize antigen structure

presentation, multivalent presentation of those antigens on self-assembling nanoparticles, and preclinical

testing in a nonhuman primate model that has demonstrated strong predictive value of human antibody

responses. Core C: NHP, based at the Southwest National Primate Research Center, will evaluate the

immunogenicity of rationally designed HCV vaccine antigens and nanoparticles using a non-human

primate (NHP) model, rhesus macaques, and collect blood and tissue samples to enable in-depth

analysis of the immune responses elicited by the vaccine antigens in this P01 research program.

Grant Number: 5P01AI168251-05
NIH Institute/Center: NIH

Principal Investigator: Christopher Chen

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