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

> **NIH NIH UH3** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2022 · $500,000

## Abstract

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.

## Key facts

- **NIH application ID:** 10687345
- **Project number:** 4UH3CA256960-03
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** Sheng Zhong
- **Activity code:** UH3 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $500,000
- **Award type:** 4N
- **Project period:** 2020-09-11 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10687345

## Citation

> US National Institutes of Health, RePORTER application 10687345, Spatial in situ mapping of RNA-chromatin interactions at transcriptome-and-genome scale in human tissues (4UH3CA256960-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10687345. Licensed CC0.

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