Multiscale, Multimodal Analysis of Skin and Spatial Cell Organization
Multiscale, Multimodal Analysis of Skin and Spatial Cell Organization
批准号:
10826224
负责人:
Fiona Ginty
金额:
$15.0万
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:
已结题
起止时间:
2022-09-22 至 2024-08-31
关键词:
3-DimensionalAdoptionAlgorithmsAnatomyAntibodiesArteriesBiological MarkersBloodBlood VesselsCell physiologyCellsClassificationCollaborationsCommunitiesDataData AnalysesEndothelial CellsGoalsGuidelinesHuman BioMolecular Atlas ProgramImaging technologyImmuneLiquid substanceLocationLymphLymphaticLymphatic CapillariesLymphocyteMapsOrganOxygenRegulationResourcesSamplingSkinStainsStructureTissuesVasodilationVeinsVisualizationWorkcell typecollaboratorycommunity buildinglymphatic vesselmultimodalitymultiplexed imagingnutritionreconstructiontissue mappingworking group
中文摘要
项目摘要/摘要
组织血管和淋巴管是每个器官和运输血液的重要组成部分
和身体周围的淋巴,执行必要的功能,如血管扩张调节和
免疫细胞运输。这项补充提案的目标是与HuBMAP合作
邮政编码项目,开发一组针对血管和淋巴细胞的抗体
和结构。我们将为HuBMAP社区提供此资源,以获取更多信息
通过HuBMAP组织映射中心进行全面的内皮和淋巴细胞映射。
我们将通过使用两种多路成像技术在皮肤中对这些抗体进行染色来生成数据
目前在HuBMAP(Codex和Cell Dive)中使用的技术,使用顺序
皮肤切片样本。我们将使用现有的2D细胞分类和3D体积算法
在这些连续切片上重建血管和淋巴细胞类型。该数据将是
作为蜂巢和更广泛的HuBMAP社区的资源,用于构建血管地图
和淋巴管。与邮政编码工作一起,我们的项目将帮助指导努力
通过HuBMAP对最近的动脉、静脉和淋巴管之间的距离进行三角测量
以及与最近的免疫细胞和其他细胞类型的关系。我们将使用邮政编码
开发标记集、最佳实践和指导方针的团队,以实现高效的对齐和
在组织映射中心(TMC)和HuBMAP的活动中采用。为了实现这一目标,
我们将作为一个协作团队来协调解剖结构、细胞类型、
加生物标记物(ASCT+B)表、器官测绘抗体板(OMAP)、数据分析
工作组,以及HuBMAP集成、可视化和参与(HIVE)合作实验室。
我们设想,这种内皮细胞和淋巴管的颗粒图谱将有助于
空间组织分析中的细胞邮政编码,即将细胞功能与三角形联系起来
最近的动脉、静脉和淋巴管之间的距离,并提供空间上的新数据
相邻细胞的位置和功能。
英文摘要
Project Summary/Abstract
Tissue vasculature and lymphatics are an essential component of every organ and transport blood
and lymph around the body, performing essential functions such as vasodilation regulation and
immune cell transport. The goal of this supplemental proposal is to collaborate with the HuBMAP
ZIPCODE project to develop a panel of antibodies that are specific for vascular and lymphatic cells
and structures. We will provide this as a resource for the HuBMAP community for more
comprehensive endothelial and lymphatic cell mapping across HuBMAP tissue mapping centers.
We will generate data by staining those antibodies in skin using two multiplexed imaging
technologies that are currently in use in HuBMAP (CODEX and Cell DIVE), using sequentially
sectioned skin samples. We will use existing algorithms for 2D cell classification and 3D volume
reconstruction of vascular and lymphatic cell types in these sequential sections. This data will be
used as a resource by the HIVE and broader HuBMAP community for building maps of vascular
and lymphatics vessels. Together with the ZIPCODE work, our project will help guide efforts
across HuBMAP to triangulate distance between the closest artery, vein, and lymphatic capillary
and relationships with nearest immune cells and other cell types. We will work with the ZIPCODE
team to develop marker sets, best practices, and guidelines to enable efficient alignment and
adoption across the Tissue Mapping Centers (TMCs) and activities in HuBMAP. To achieve this,
we will work as a collaborative team to coordinate with the Anatomical Structures, Cell Types,
plus Biomarkers (ASCT+B) tables, Organ Mapping Antibody Panels (OMAPs), data analysis
working group, and HuBMAP Integration, Visualization & Engagement (HIVE) Collaboratory.
We envisage that this granular mapping of endothelial cells and lymphatics will help incorporate
cellular ZIP codes in spatial tissue profiling, i.e., connecting cellular function to the triangular
distance between the closest artery, vein, and lymphatic capillary and provide new data on spatial
location and functions of neighboring cells.
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会议论文
Multi-Scale 3-D Image Analytics for High Dimensional Spatial Mapping of Normal Tissues
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批准号:10251375
-
项目类别:
-
资助金额:$70.0万
-
财政年份:2019
-
负责人:Fiona Ginty
-
依托单位:
Multi-Scale 3-D Image Analytics for High Dimensional Spatial Mapping of Normal Tissues
-
批准号:10246250
-
项目类别:
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资助金额:$75.0万
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财政年份:2019
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负责人:Fiona Ginty
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依托单位:
Systems Modeling of Tumor Heterogeneity and Therapy Response in Colorectal Cancer
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批准号:9922114
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项目类别:
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资助金额:$55.63万
-
财政年份:2017
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负责人:Fiona Ginty
-
依托单位:
Systems Modeling of Tumor Heterogeneity and Therapy Response in Colorectal Cancer
-
批准号:10174854
-
项目类别:
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资助金额:$64.58万
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财政年份:2017
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负责人:Fiona Ginty
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依托单位:
海外基金