COVID19 Slide-seq
COVID19 Slide-seq
批准号:
10173485
负责人:
Fei Chen
金额:
$17.37万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-08 至 2023-05-31
关键词:
2019-nCoVAdoptedAdoptionAffectAgeAgingArchivesAtlasesAutopsyBar CodesCOVID-19COVID-19 pandemicCell NucleusCellsCollectionCommunitiesDNADataData CollectionData SetDevelopmentDiseaseDisease OutbreaksEnsureEnvironmental WindFreezingFutureGene ExpressionGenesGrantGroup ProcessesHealthHeartHospitalsHumanImageInfectionInflammatoryLeadLibrariesLocationLungMolecularOrganOrgan failurePathogenesisPathologicPathologyPatientsPatternProcessProteinsPublishingRNARegulatory ElementResearchResolutionRiskSamplingSeverity of illnessSlideSmoking StatusStructureStructure of parenchyma of lungTechnologyTissuesUpdateVirusWorkbiosafety level 3 facilitycell typedisease transmissionexperiencegene discoverygenomic platformgenomic toolsglobal healthhuman tissueimage processingin vivomortalitymultimodalitynew technologynoveloligo (dT)open sourceprenatalprogramsresponsesextargeted treatmenttissue resourcetooltranscriptome sequencingtranscriptomicstwo-dimensional
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary
Cells are the unit building blocks of tissues and organs, thus, to understand how tissues
function, it is important to understand where different types of cells reside in health and
disease. In this proposal, we propose to develop a novel spatial genomics platform that will
enable multi-modal characterization of tissue structure at the single cell level. This will
be revolutionary for the study of tissue organization in development and pathological
changes in aging and disease. Our tools will enable us to look at RNA, proteins and regulatory
elements in DNA all within the tissue context. We will ensure these novel genomic tools are
easy to use and adopt, which will be especially powerful for pathological settings, where tissue
resources are precious, and adoption of tools is limited by ease of use. In addition, we are
applying this technology to rapidly develop a deep molecular and spatial understanding
of COVID19 infection and its impacts in organs throughout the body. The successful
completion of this work will lead to a comprehensive toolset for understanding tissue
structure from the perspective of single cell organization.
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会议论文
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