# Core C: Cell and Gene Vector Core

> **NIH NIH P01** · TEMPLE UNIV OF THE COMMONWEALTH · 2022 · $277,375

## Abstract

Core C SUMMARY
The Cell and Gene Vector Core (Core C) will provide an essential centralized support service to the
investigators on the grant by constructing, propagating and large-scale production of adenoviral, lentiviral and
adeno-associated viral (AAV) stocks, which all Projects will need. Utilizing the vast experience and expertise of
the Core Director's, and in-house established protocols for the viral vector productions, the Core will provide a
consistent and reproducible service in support of the projects. This Core will also house expertise for cultured
myocytes for in vitro mechanistic work including weekly neonatal rat ventricular myocyte preparations and
isolation of adult murine cardiomyocytes when needed. An additional benefit of the Core is that it provides a
resource for teaching others tissue culture and viral production techniques. These essential centralized support
services, used by all Projects, will eliminate variability in virus and myocyte preparations and will be pivotal in
identifying novel signaling pathways, intra-organ communication pathways and sex-dependent mechanisms that
contribute to heart failure and cardiorenal syndrome after cardiac injury and identify potential intersecting
mechanisms to develop innovative therapeutic strategies for repair.

## Key facts

- **NIH application ID:** 10396997
- **Project number:** 5P01HL147841-03
- **Recipient organization:** TEMPLE UNIV OF THE COMMONWEALTH
- **Principal Investigator:** Sudarsan Rajan
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $277,375
- **Award type:** 5
- **Project period:** 2020-05-01 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10396997

## Citation

> US National Institutes of Health, RePORTER application 10396997, Core C: Cell and Gene Vector Core (5P01HL147841-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10396997. Licensed CC0.

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