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
基因组学核心D
PI:Sebra医生
项目摘要
基因组学技术和相关数据分析方法的最新进展提供了
询问人类宿主对疫苗接种的反应和动态相互作用的框架
在病毒感染过程中宿主和病原体之间以前所未有的分辨率连接。整合
分子和细胞数据以及临床元数据和血清学数据的核心,
通过表征先天免疫应答的变化来识别病毒免疫结果特征的潜力
接种疫苗前后的免疫力然而,没有一种技术足以解决
深度分子免疫分析提出了许多悬而未决的问题,需要
免疫和疫苗反应分析的综合方法。PBMC分析和
VIVA项目的历史文化,具有各种尖端和定制的高通量,
分子和高分辨率多组学技术将为疫苗提供最佳数据库
免疫系统的反应。VIVA Genomics Core D旨在利用数据
生成技术套件,包括批量RNAseq、血清学数据、单细胞CITEseq,
空间转录组学、病毒基因组学和多尺度计算方法
免疫应答的综合表征,以预测疫苗结果。使用
通过整合这些数据,Core D将提供多组学数据生成和质量控制,
与基因组学数据分析和管理无缝分析、集成和注释
VIVA项目的核心E,包括免疫/临床核心项目1(SARS-CoV-2),
项目2(季节性流感),项目3(四价DENV)。核心D将作为一个宝贵的
VIVA HIPC团队的资源,将分子数据生成和Core E数据驱动结合起来
促进技术完善和开发以及促进
VIVA项目。
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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专著(0)
科研奖励(0)
会议论文
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