# Cell Culture and Engineering Core (CCEC)

> **NIH NIH U54** · UNIVERSITY OF MARYLAND BALTIMORE · 2021 · $183,342

## Abstract

PROJECT SUMMARY
The Maryland Polycystic Kidney Disease Research and Translation Core Center (MPKD-RTCC)
Cell Culture and Engineering Core (CCEC) will accelerate progress in PKD research by
addressing a major unmet need for well-defined, reliable in vitro cell PKD models with proper
controls. With this overarching goal in mind, CCEC developed new in vitro cell and organoid
models that we hope will become the “gold-standards” of the field. The CCEC is committed to
helping investigators find ideal solutions for all their individual in vitro research needs whether it
involves mechanistic exploration, human PKD cell validation studies, or therapeutic screening. To
best serve the current and expected future demands of the diverse PKD workforce in academia,
government, and industry, the CCEC will provide murine cell models of ADPKD, provide
engineered inner medullary collecting duct (IMCD3) cell lines expressing custom PKD1 and PKD2
mutations, provide human kidney ADPKD cells and specimens, provide a cutting edge
cystogenesis assay using three-dimensional organoid system, provide high through-put, three-
dimensional cyst expansion assay, and provide consultation services to make sure the PKD
community can fully utilize the CCEC resources.

## Key facts

- **NIH application ID:** 10231259
- **Project number:** 5U54DK126114-02
- **Recipient organization:** UNIVERSITY OF MARYLAND BALTIMORE
- **Principal Investigator:** OWEN M WOODWARD
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $183,342
- **Award type:** 5
- **Project period:** 2020-08-24 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10231259

## Citation

> US National Institutes of Health, RePORTER application 10231259, Cell Culture and Engineering Core (CCEC) (5U54DK126114-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10231259. Licensed CC0.

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