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Spatial in situ mapping of RNA-chromatin interactions at transcriptome-and-genome scale in human tissues

人体组织转录组和基因组尺度 RNA-染色质相互作用的空间原位作图

基本信息

批准号：
10876922
负责人：
Sheng Zhong
金额：
$ 60万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN DIEGO
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-11 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10876922
关键词：
Arteries Assessment tool Bar Codes Benchmarking Bioinformatics Biological Assay Blood Vessels Brain Cells Chromatin Communities DNA Data Data Set Development Dimensions Elements Endothelium Evaluation Gene Expression Gene Expression Regulation Generations Genome Genomics Histologic Human In Situ Individual Inherited Lipids Liver Maps Mesenteric Arteries Metadata Methods Molecular Morphology Nature Nucleic Acids Pancreas Phase Physiological Proteins Quality Control RNA Reagent Reproducibility Research Resolution Sampling Slide Spatial Distribution Spottings Stains Structure Technology Time Tissues Variant Vascular Endothelium Veins cell type cohort computerized data processing cost data quality data standards density digital epigenetic regulation frontier genome analysis genome-wide human data human tissue improved insight interoperability mesenteric vein multimodal data neglect response sex submicron tool transcriptome transcriptome sequencing ultra high resolution user friendly software

项目摘要

Spatial in situ mapping of RNA-chromatin interactions in human vasculature Abstract A breakthrough of this project is to simultaneously improve the state-of-art spatial resolution, dynamic range of RNA quantification, and applicable dimensions of human tissue by one to several orders of magnitude. This breakthrough will deliver to users extremely high-resolution, high-density, high-fidelity and reproducible spatial mapping slides (HiFi slides) for spatial transcriptome analysis or spatial mapping of modified- or interacting- nucleic acids. We will leverage HiFi slides to provide spatial transcriptome and spatial RNA-chromatin interactome mapping tools in unprecedented resolution. This project will generate HiFi spatial transcriptome, HiFi spatial RNA-crhomatin interactome, and high-resolution protein spatial profiles of 96 proteins from mesenteric arteries of veins, and the microvasculature from pancreas, liver and brain. These datasets will form the initial human EC biomolecular map (HuEC-MAP). These data will offer unprecedented insights to the molecular nature of the tissue-specific morphologies and functions of the blood vessel endothelium, which are critical to the development and functions of the associated tissues.

人血管中RNA-染色质相互作用的空间原位定位摘要该项目的一个突破是同时提高最先进的空间分辨率， RNA定量和人体组织的适用尺寸的一个到几个数量级。这突破将提供给用户极高的分辨率，高密度，高保真度和可再现的空间用于空间转录组分析或修饰或相互作用的空间映射的映射幻灯片（HiFi幻灯片）核酸我们将利用HiFi幻灯片提供空间转录组和空间RNA染色质以前所未有的分辨率绘制相互作用基因组地图工具。该项目将产生HiFi空间转录组， HiFi空间RNA-crhomatin相互作用组，以及96种蛋白质的高分辨率蛋白质空间谱，肠系膜动脉和静脉，以及来自胰腺、肝脏和脑的微血管。这些数据集将形成初始人类EC生物分子图谱（HuEC-MAP）。这些数据将提供前所未有的见解，血管内皮的组织特异性形态和功能的分子性质，对相关组织的发育和功能至关重要。