COVID19 Slide-seq

COVID19 幻灯片序列

基本信息

批准号：
10173485
负责人：
Fei Chen
金额：
$ 17.37万
依托单位：
BROAD INSTITUTE, INC.
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-08-08 至 2023-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10173485
关键词：
2019-nCoV Adopted Adoption Affect Age Aging Archives Atlases Autopsy Bar Codes COVID-19 COVID-19 pandemic Cell Nucleus Cells Collection Communities DNA Data Data Collection Data Set Development Disease Disease Outbreaks Ensure Environmental Wind Freezing Future Gene Expression Genes Grant Group Processes Health Heart Hospitals Human Image Infection Inflammatory Lead Libraries Location Lung Molecular Organ Organ failure Pathogenesis Pathologic Pathology Patients Pattern Process Proteins Publishing RNA Regulatory Element Research Resolution Risk Sampling Severity of illness Slide Smoking Status Structure Structure of parenchyma of lung Technology Tissues Update Virus Work biosafety level 3 facility cell type disease transmission experience gene discovery genomic platform genomic tools global health human tissue image processing in vivo mortality multimodality new technology novel oligo (dT)open source prenatal programs response sex targeted treatment tissue resource tool transcriptome sequencing transcriptomics two-dimensional

项目摘要

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.

项目概要细胞是组织和器官的基本组成部分，因此，了解组织如何功能，了解不同类型的细胞在健康和功能中的位置非常重要疾病。在本提案中，我们建议开发一个新颖的空间基因组学平台，该平台将能够在单细胞水平上对组织结构进行多模式表征。这将对于发育和病理组织组织的研究具有革命性意义衰老和疾病的变化。我们的工具将使我们能够研究 RNA、蛋白质和监管 DNA 中的元素都在组织范围内。我们将确保这些新颖的基因组工具易于使用和采用，这对于病理环境特别有用，其中组织资源是宝贵的，工具的采用受到易用性的限制。此外，我们还应用该技术快速发展深入的分子和空间理解 COVID19 感染及其对全身器官的影响。成功者完成这项工作将产生一个用于理解组织的综合工具集从单细胞组织的角度来看结构。