# Tissue Chip Data to the Microphysiology Systems Database (MPS-Db) Supplement to A Microphysiological System for Kidney Disease Modeling and Drug Efficacy Testing

> **NIH NIH UH3** · UNIVERSITY OF WASHINGTON · 2021 · $75,760

## Abstract

ABSTRACT
In response to the critical need for in vitro models that recapitulate human kidney diseases, we have developed
an in vitro kidney chip model that recapitulates critical aspects of kidney physiology, can assess the
mechanisms and response to injury, and test reparative mechanisms, all of which can substantially enhance
therapeutic discovery and evaluation. We have demonstrated success in delineating novel molecular drivers of
both disease processes and drug induced-nephrotoxicity. The goal of the parent application is to advance our
‘kidney on a chip’ MPS in order to model important human kidney diseases and promote identification of safe
and effective treatments.
Datasets generated from MPS disease models will be submitted to the Microphysiology Systems Database
(MPS-Db); these data will include components including: MPS flow and chip architecture, cell growth
conditions and parameters, iPSC differentiation conditions, cell characteristics (transcriptional data, bulk and
single cell RNA sequencing, genotyping, morphology, cytokine production/response), and stress and
therapeutic response to small molecule agents.
We believe that publicly accessible data generated from tissue chips will facilitate acceptance of MPS
technology in both academic and industrial settings, particularly when data can be evaluated in parallel with
preclinical and clinical databases. This proposal will enable submission of existing data from MPS models of
disease states that occur in both adults and children, and are not represented presently in the MPS-Db.
Furthermore, we will develop protocols and templates to incorporate data submission into our experimental
workflow to ensure timely submission of future data.

## Key facts

- **NIH application ID:** 10435328
- **Project number:** 3UH3TR002158-05S1
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Jonathan Himmelfarb
- **Activity code:** UH3 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $75,760
- **Award type:** 3
- **Project period:** 2017-07-25 → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10435328

## Citation

> US National Institutes of Health, RePORTER application 10435328, Tissue Chip Data to the Microphysiology Systems Database (MPS-Db) Supplement to A Microphysiological System for Kidney Disease Modeling and Drug Efficacy Testing (3UH3TR002158-05S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10435328. Licensed CC0.

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