# COVID19 Slide-seq

> **NIH NIH R01** · BROAD INSTITUTE, INC. · 2020 · $173,737

## Abstract

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.

## Key facts

- **NIH application ID:** 10173485
- **Project number:** 3R01HG010647-02S1
- **Recipient organization:** BROAD INSTITUTE, INC.
- **Principal Investigator:** Fei Chen
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $173,737
- **Award type:** 3
- **Project period:** 2019-08-08 → 2023-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10173485

## Citation

> US National Institutes of Health, RePORTER application 10173485, COVID19 Slide-seq (3R01HG010647-02S1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10173485. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*