# A mechanistic 3D AI-powered map of genetic chILD

> **NIH NIH U01** · CINCINNATI CHILDRENS HOSP MED CTR · 2024 · $802,500

## Abstract

ABSTRACT/SUMMARY
Leveraging the technologies and infrastructure in our previous LungMAP phases, we will construct a multi-scale
map of developing acinar and alveolar structures during normal childhood and in the setting of childhood
interstitial lung disease (chILD) characterized by aberrant lung morphogenesis. Linked to gene variants, chILD
provides a unique opportunity to understand key genetic pathways and cellular interactions of human acinar and
alveolar development, in turn informing injury-repair associated with lung diseases throughout the lifespan.
Working in a collaborative LungMAP3 consortium, including other Research Centers, the Data Coordinating
Center (DCC), the Human Tissue Core (HTC), our LungMAP3 project will use single-cell and spatial multiomics,
high-resolution confocal and electron microscopy, patient-derived iPSCs, and bioinformatics including AI tools
to define, model, and predict normal and diseased lung development. The resulting mechanistic insights and
enabling technologies will be disseminated to the entire lung community via disease atlases and web portals, as
we have done during LungMAP1 and 2, to accelerate lung biology discoveries and disease therapies.

## Key facts

- **NIH application ID:** 10974509
- **Project number:** 1U01HL175383-01
- **Recipient organization:** CINCINNATI CHILDRENS HOSP MED CTR
- **Principal Investigator:** Jichao Chen
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $802,500
- **Award type:** 1
- **Project period:** 2024-09-01 → 2029-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10974509

## Citation

> US National Institutes of Health, RePORTER application 10974509, A mechanistic 3D AI-powered map of genetic chILD (1U01HL175383-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10974509. Licensed CC0.

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