# Mechanisms of Juxta-Cardiac Field Progenitors

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2024 · $763,930

## Abstract

Project Summary
The heart is composed of a broad range of diverse cardiac cell types, which organize into distinct cardiac
structures that coordinately regulate cardiac function and circulation throughout the body. Despite efforts
devoted toward understanding how these cardiac cell types are created in order to develop potential human
cardiac therapies and/or illuminate underlying mechanisms/etiologies of congenital heart disease (CHD), our
understanding of how diverse cardiac cell types emerge from developmental heart field progenitors, and how
they organize into heart structures remains to be fully defined. Thus, we propose to identify and investigate the
cardiovascular developmental regulators and gene regulatory networks that direct the development of Juxta-
Cardiac Field (JCF)-derived cardiovascular cell types creating the mammalian heart. Toward this end, a multi-
disciplinary experimental and computational systems biology approach will be employed to: (1) examine the
contribution of JCF progenitors to the developing heart, (2) investigate how JCF progenitors differentiate into
specific cell types contributing to heart development and (3) investigate whether mechanisms in JCF
development are conserved in human heart development.

## Key facts

- **NIH application ID:** 10903408
- **Project number:** 1R01HL174023-01
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** Neil C Chi
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $763,930
- **Award type:** 1
- **Project period:** 2024-07-01 → 2028-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10903408

## Citation

> US National Institutes of Health, RePORTER application 10903408, Mechanisms of Juxta-Cardiac Field Progenitors (1R01HL174023-01). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10903408. Licensed CC0.

---

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