3D Multiscale Reference Atlas for Human Skin
3D Multiscale Reference Atlas for Human Skin
批准号:
10708873
负责人:
Sashank K Reddy
金额:
$50.0万
依托单位:
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:
已结题
起止时间:
2022-09-26 至 2024-08-31
关键词:
3-DimensionalAgeAgingArchitectureAtlasesBiological ModelsBiologyCellsChromatinClassificationCommunicationData AnalysesData Science CoreDermalEnvironmentEpigenetic ProcessExtracellular MatrixFibroblastsGenetic TranscriptionGenotypeHair follicle structureHumanImageImaging technologyIndividualLocationLongevityMachine LearningMapsMolecularMolecular ProfilingNatural HistoryOrganPatternPhenotypeRaceReproducibilityResearch PersonnelResolutionSkinStandardizationStructureSystems AnalysisTissuesUnderrepresented PopulationsUniversitiesVariantVisualization softwareanalysis pipelinecell communitycell typedata submissionimage guidedmulti-scale atlasmultiple omicspathogenrepairedresponsesenescencesexstem cellstooltranscriptomicsuser-friendly
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The scientific focus of the proposed 3D Multiscale Reference Atlas for Human Skin is to develop the first
comprehensive, three-dimensional set of integrated cellular and molecular maps of human skin across age, sex,
race and skin location. Skin is the largest human organ, serving as a critical barrier between the external
environment and internal tissues, yet no comprehensive map exists for the three-dimensional architecture of this
organ at a cellular level, nor is there a comprehensive map of the molecular signatures defining this architecture
across the body and across lifespan. Here, we will integrate our recently developed machine learning-guided
image analysis system CODA with single-cell and spatial multi-omic analyses to produce high-content reference
maps. The integrated Skin Atlas will allow researchers to interrogate the skin in its entire three-dimensional
architecture, and/or focus on individual structures such as the vasculature or hair follicles, or individual cells. We
will overlay genotypic and phenotypic states to enable, for example, examination of the overlap between
senescent cells and stem cells, or the correlation between extracellular matrix (ECM) content and the diversity
of dermal fibroblasts. Because we will include diverse and often underrepresented populations, our Multiscale
Atlas will also provide a broader view of skin biology, filling in critical missing information. Finally, by looking
across lifespan, the Atlas will provide a view of architectural, cellular, and molecular alterations in skin with age,
establishing the natural history of normal biology for this critical organ. In addition to its native value for
understanding skin itself, we anticipate that our Skin Atlas will be a powerful hypothesis generating tool for
biologists studying the many questions for which skin is an ideal model system – homeostatic renewal, repair,
senescence, aging, and pathogen response.
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会议论文
Data infrastructure for single-cell multiplex imaging in Bioconductor
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批准号:10831240
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项目类别:
-
资助金额:$9.58万
-
财政年份:2022
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负责人:Sashank K Reddy
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依托单位:
Data Analysis Core
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批准号:10708874
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项目类别:
-
资助金额:$25.0万
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财政年份:2022
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负责人:Sashank K Reddy
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依托单位:
Data Analysis Core
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批准号:10531003
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项目类别:
-
资助金额:$25.0万
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财政年份:2022
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负责人:Sashank K Reddy
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依托单位:
3D Multiscale Reference Atlas for Human Skin
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批准号:10531002
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项目类别:
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资助金额:$50.0万
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财政年份:2022
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负责人:Sashank K Reddy
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依托单位:
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