Genomics Core
Genomics Core
批准号:
10595632
负责人:
Robert Sebra
金额:
$30.01万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-03-22 至 2027-02-28
关键词:
2019-nCoVAddressCOVID-19 vaccineCellsCellular Indexing of Transcriptomes and Epitopes by SequencingClinicalCollaborationsCouplingCustomDataData AnalysesData SetDatabasesDengue VaccineDengue VirusDevelopmentFlow CytometryFosteringGene Expression ProfileGenerationsGenesGenetic TranscriptionGenomicsHumanImmuneImmune responseImmunityImmunization ProgramsImmunologyImmunophenotypingIndividualInfectionInflammatory ResponseInfluenza A virusInfluenza B VirusInformaticsLymphoid TissueMetadataMethodsModelingMolecularMultiomic DataNatural ImmunityOutcomeParticipantPatternPeripheral Blood Mononuclear CellPhenotypePopulationProteinsQuality ControlResolutionResourcesSerologySystemTechnologyTimeTissue-Specific Gene ExpressionTissuesTonsilVaccinatedVaccinationVaccineeVaccinesVariantViralViral GenomeVirus Diseasesanalysis pipelinebreakthrough infectionchemokinecohortcytokinedata analysis pipelinedata integrationdata managementdifferential expressiongenetic signaturegenomic datainfluenza virus vaccinemultiple omicsmultiscale datapathogenprotein expressionseasonal influenzatranscription regulatory networktranscriptome sequencingtranscriptomicsvaccination outcomevaccine immunogenicityvaccine responseviral genomics
中文摘要
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英文摘要
GENOMICS CORE D
PI: Dr. Sebra
PROJECT SUMMARY
Recent advances in genomics technology and associated data analysis methods have provided
a framework to interrogate the human host response to vaccination and the dynamic interplay
between host and pathogen during viral infection at an unprecedented resolution. The integration
of molecular and cellular data alongside clinical metadata and serologic data nucleates the
potential to identify signatures of viral immunity outcomes by characterizing changes in innate
immunity before and after vaccination. However, no single technology is sufficient to address the
multitude of open questions raised by deep molecular immune profiling, necessitating an
integrated approach for profiling immunity and vaccine response. Analysis of PBMCs and
histocultures across VIVA projects with a variety of cutting-edge and custom high throughput,
molecular and high-resolution multi-omics technologies will provide the best database for vaccine
immune responses across these systems. The VIVA Genomics Core D aims to leverage a data
generation technology suite inclusive of bulk RNAseq, serologic data, single cell CITEseq,
CyTOF, spatial transcriptomics, viral genomics and multi-scale computational approaches for the
comprehensive characterization of immune response to predict vaccine outcomes. Using the
integration of these data, Core D will deliver multi-omics data generation and quality control for
seamless analysis, integration and annotation with the Genomics Data Analysis and Management
Core E across VIVA projects including the Immune/Clinical Core, Project 1 (SARS-CoV-2),
Project 2 (seasonal influenza), Project 3 (tetravalent DENV). Core D will serve as an invaluable
resource for the VIVA HIPC team coupling molecular data generation and Core E data driven
approaches to foster technology refinement and development and promote collaboration between
VIVA projects.
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Genomics Core
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批准号:10435235
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项目类别:
-
资助金额:$28.32万
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财政年份:2022
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负责人:Robert Sebra
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依托单位:
海外基金