# seqFISH core for in situ cell type identification

> **NIH NIH U19** · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2022 · $372,689

## Abstract

Project Summary
The goal of this core is to systematically characterize the molecular identities of distinct
neuronal populations within the cortex using a combination of connectomics and cutting edge
seqFISH methods to multiplex RNA detection in single cells. The Cai lab has recently
developed a technology using sequential hybridization and single molecule FISH to multiplex a
large number of mRNA molecules directly in single cells in complex tissue samples. A
collaborative team at Columbia, UC Berkeley and at Caltech will apply this technology to identify
distinct cell types in the mouse brain in situ following in vivo live calcium imaging experiments as
well as in vitro connectivity measurements.

## Key facts

- **NIH application ID:** 10438690
- **Project number:** 5U19NS107613-05
- **Recipient organization:** COLUMBIA UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** Long Cai
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $372,689
- **Award type:** 5
- **Project period:** 2018-09-15 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10438690

## Citation

> US National Institutes of Health, RePORTER application 10438690, seqFISH core for in situ cell type identification (5U19NS107613-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10438690. Licensed CC0.

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