A single cell spatial genomics platform for multi-modal characterization of tissue organization
A single cell spatial genomics platform for multi-modal characterization of tissue organization
批准号:
9797023
负责人:
Fei Chen
金额:
$94.64万
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:
ATAC-seqAdoptedAdoptionAgingAlgorithmsBiological AssayBrainCellsChromatinChromosomesComplexDNADataData AnalysesData CollectionData SetDevelopmentDiseaseEnsureEpigenetic ProcessGene Expression ProfileGenerationsGenesGenomic approachHealthIndividualJointsLibrariesLocationMeasurementMeasuresMessenger RNAMiniaturizationMolecularMolecular BiologyOrganPathologicProcessProteinsProtocols documentationRNARegulatory ElementResearch PersonnelResolutionSlideStructureTechnologyTestingTissuesTransposaseValidationWorkantibody librariescell typecomputerized toolsdata integrationdevelopmental diseaseexperimental studygenomic platformgenomic toolshigh throughput technologyindexingmultimodal datamultimodalitynew technologynext generationnoveloligo (dT)protein expressionsingle cell sequencingsingle-cell RNA sequencingtissue resourcetooltranscriptometranscriptome sequencingtranscriptomics
中文摘要
项目概要/摘要
细胞是组织和器官的基本单位,因此,要了解组织是如何
功能,重要的是要了解不同类型的细胞在健康和疾病中的位置。
在这个提议中,我们建议开发一个新的空间基因组学平台,
在单细胞水平上对组织结构进行多模态表征。这将是
组织发育和病理变化研究的革命性进展
衰老和疾病我们的工具将使我们能够观察RNA、蛋白质和调控元件
在组织环境中的DNA中。我们将确保这些新的基因组工具易于使用
并采用,这将是特别强大的病理设置,其中组织资源
是宝贵的,工具的采用受到易用性的限制。圆满完成
这项工作将导致一个全面的工具集,用于了解组织结构,
单细胞组织的观点。
英文摘要
Project Summary/Abstract
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. 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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