# A platform for scalable spatial single cell genomics

> **NIH NIH R01** · BROAD INSTITUTE, INC. · 2024 · $682,271

## Abstract

SUMMARY
The function of human tissues is dependent upon complex interactions amongst millions of substituent cells.
Tools that can systematically measure transcriptional and epigenetic states of these cells, while also recording
their spatial positions, hold great promise in understanding both normal tissue function and its dysfunction in
disease conditions. In this proposal, we build upon our recent invention of Slide-tags, a single-cell spatial
genomics technology, to enable facile, spatial profiling of millions of cells across surface areas spanning tens of
centimeters. We will extend Slide-tags to measure not only transcription, but also epigenetic states and genome
variation within individual cells. Further, we will make Slide-tags profiling compatible with fixed and paraffin-
embedded tissues. The innovations from this project will yield a robust, multiomic spatial platform for the routine
profiling of human tissues at the scale of entire organs.

## Key facts

- **NIH application ID:** 10882994
- **Project number:** 2R01HG010647-05
- **Recipient organization:** BROAD INSTITUTE, INC.
- **Principal Investigator:** Fei Chen
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $682,271
- **Award type:** 2
- **Project period:** 2019-08-08 → 2028-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10882994

## Citation

> US National Institutes of Health, RePORTER application 10882994, A platform for scalable spatial single cell genomics (2R01HG010647-05). Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/grant/nih/10882994. Licensed CC0.

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