# Multi-modal spatial genomics in the mouse and human brains

> **NIH NIH R44** · SPATIAL GENOMICS, INC. · 2024 · $1,337,968

## Abstract

SUMMARY
The major goal of this project is to build upon our existing expertise and platform to develop
spatial multi-omics tools in human brains. At Spatial Genomics, we are commercializing the
sequential fluorescence in situ hybridization (seqFISH) technology (Eng et al, 2019) that allows
thousands of genes to be imaged directly in brain samples. We have developed extensive
experience working with mouse and human brains with our seqFISH technology. Spatial
genomics methods have the potential to identify novel cell types, reveal spatial organization of
groups of cells and subcellular patterns, and elucidate signaling interactions between
neighboring cells in the brain. Identifying the spatial organization of the human brain at cellular
resolution from single cell gene expression profiles is essential to understanding neuronal
circuits and interactions between neurons and glia.

## Key facts

- **NIH application ID:** 10867435
- **Project number:** 5R44MH133530-02
- **Recipient organization:** SPATIAL GENOMICS, INC.
- **Principal Investigator:** Kirsten Frieda
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $1,337,968
- **Award type:** 5
- **Project period:** 2023-06-15 → 2025-09-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10867435

## Citation

> US National Institutes of Health, RePORTER application 10867435, Multi-modal spatial genomics in the mouse and human brains (5R44MH133530-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10867435. Licensed CC0.

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