Multi-Scale Multi-Modality High Resolution Mapping of the Adult Human Lung

成人肺的多尺度多模态高分辨率测绘

基本信息

批准号：
10530973
负责人：
GLORIA S PRYHUBER
金额：
$ 56.44万
依托单位：
UNIVERSITY OF ROCHESTER
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-01 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10530973
关键词：
3-Dimensional Adult Anatomy Atlases Cells Collection Consensus Data Data Analyses Data Collection Data Set Data Storage and Retrieval Ensure Environment Equipment FAIR principles Health Insurance Portability and Accountability Act High Performance Computing Human Human BioMolecular Atlas Program Human Resources Image Ingestion Institution Link Location Lung Maps Metadata Modality Molecular Names Ontology Organ Output Positioning Attribute Procedures Process Production Protocols documentation Reproducibility Resolution Resources Role Secure Signal Transduction Structure of parenchyma of lung Systems Biology Universities Work base cluster computing computerized data processing data format data ingestion data integration data quality data sharing experience extracellular indexing interoperability multi-scale atlas multimodality novel open source tool programs spatial relationship statistical and machine learning tissue mapping tool virtual machine

项目摘要

Project Summary/Abstract Data Analysis Core Synthesis of the Multimodality High Resolution 3-D Atlas of Human Lung The Data Analysis Core (DAC) is responsible for all aspects of data and metadata management, processing, analysis, mapping, and sharing for this Tissue Mapping Center (TMC) and of the Organ Specific Project focused on the adult healthy human lung (i.e., Lung Specific Project or LSP). We will take a long view of an Atlas, as a collection of 2D and 3D maps containing images, tabular data, facts about multiple locations at varying resolution and indexes of named objects keyed to coordinates of a locational grid analogous to latitude and longitude, to cartographically present the whole range of salient features of the human Lung. The DAC will support the TMC in these activities by providing a protected environment for data storage and computation, and by developing robust reproducible, reusable, and scalable computational workflows thus enabling the integration of data types into 3D maps for the purpose of creating an interactive and queryable biomolecular human atlas. The DAC is an essential part of the TMC in its objectives to produce and deliver to the HIVE extensive sets of high-resolution spatial mappings of molecular entities, using open formats, and within the context of the cellular and extracellular organization of the Lung. The DAC will accomplish its role through the following Specific Aims: 1) Ingest and process TMC datasets, 2) Analyze datasets in support of generating multiscale, multiparameter lung tissue maps, tabular data, and annotations, 3) Construct 2D and 3D lung tissue maps with integrated datasets and 4) Coordinate planning and atlas production with the HuBMAP Consortium.

项目概要/摘要数据分析核心人肺多模态高分辨率 3D 图谱的合成数据分析核心（DAC）负责数据和元数据管理、处理、对该组织绘图中心 (TMC) 和器官特定项目的分析、绘图和共享重点关注对成人健康人肺的影响（即肺特定项目或 LSP）。我们将从长远的角度来看待地图集，将其视为 2D 和 3D 地图的集合，其中包含不同分辨率的多个位置的图像、表格数据和事实以及与类似于纬度和经度的位置网格坐标键控的命名对象的索引，以以制图方式呈现人类肺的全部显着特征。 DAC 将支持 TMC 在这些活动中，通过为数据存储和计算提供受保护的环境，并通过开发强大的可重复、可重用和可扩展的计算工作流程，从而实现数据类型的集成转化为 3D 地图，以创建交互式且可查询的生物分子人类图谱。 DAC 是一个 TMC 的重要组成部分是其目标是制作并向 HIVE 提供广泛的高分辨率数据集使用开放格式并在细胞和细胞外的背景下进行分子实体的空间映射肺的组织。 DAC 将通过以下具体目标来履行其职责： 1) 摄取和处理 TMC 数据集，2) 分析数据集以支持生成多尺度、多参数肺组织地图、表格数据和注释，3) 使用集成数据集构建 2D 和 3D 肺组织图，4) 与 HuBMAP 联盟协调规划和地图集制作。