# High-Content Analysis Core

> **NIH NIH P50** · NORTHWESTERN UNIVERSITY · 2024 · $361,011

## Abstract

ABSTRACT – CORE A
Our Center proposes to study a large number of domain mutations and previously uncharacterized NDD-
associated genetic variants in TRIO and SYNGAP1 using a high-throughput strategies (Project 1), to perform
functional screens for newly developed chemical probes in mouse neurons (Project 1), and to generate
novel iPSC-derived neuronal models (Project 2). All of these research endeavors will rely heavily upon
efficient medium or high-throughput screening capabilities as well as the ability to analyze a multitude of
phenotypes in dozens of conditions. Core A will provide the following services: 1) assist Projects 1 and 2
with the optimization of imaging strategies, MEA recordings, and analysis of cultured neuron systems; 2)
perform high-content imaging (HCI) of neuroarchitectural phenotypes for Projects 1 and 2; 3) perform
multielectrode array (MEA) analysis of neuronal network electrophysiological phenotypes for Projects 1 and
2; 4) provide instruction of Center users for HCI, MEA recordings, and analysis; 5) facilitate the offline
analysis of data; 6) facilitate the storage of phenotypic data; 7) ensure quality control of data and analysis.
To accomplish this work in an efficient, cost-effective, and rigorous manner, Core A will exploit standardized
high-throughput workflows that unite innovative technologies with economies of scale. The Specific Aims of
Core A are: Aim 1. To assess the impact of SNVs in TRIO and SYNGAP1 on neuroarchitecture and network
activity in mouse neurons. Aim 2. To assess the impact of chemical modulators of GEF and GAP activity on
neuroarchitecture and network activity in mouse neurons. Aim 3. To assess the impact of genetic mutations
and chemical probes on human iPSC-derived neuronal models.

## Key facts

- **NIH application ID:** 10862389
- **Project number:** 1P50MH132775-01A1
- **Recipient organization:** NORTHWESTERN UNIVERSITY
- **Principal Investigator:** Sehyoun Yoon
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $361,011
- **Award type:** 1
- **Project period:** 2024-05-01 → 2029-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10862389

## Citation

> US National Institutes of Health, RePORTER application 10862389, High-Content Analysis Core (1P50MH132775-01A1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10862389. Licensed CC0.

---

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