# Data Science Core

> **NIH NIH U19** · JACKSON LABORATORY · 2024 · $198,470

## Abstract

PROJECT SUMMARY DATA SCIENCE CORE
The Jackson Laboratory-Icahn School of Medicine at Mt. Sinai Cooperative Center on Human Immunology (JAX-
ISMMS CCHI) aims to study lung tissue-resident immunity and its decline in older individuals. To manage and
analyze the large volumes of multimodal data generated across the different Projects and the Sample Core, a
dedicated Data Science Core (DSC) will be established with three Specific Aims. First, we will capture, integrate,
and disseminate JAX-ISMMS CCHI data (Aim 1). To this end, we will establish a central data repository following
FAIR principles and coordinate with U19 investigators to ensure data interoperability and reusability. Data will
be shared in compliance with NIH policies and our Data Management and Sharing Plan. Web applications will
be developed for data access and visualization, and figure generation for presentations and publications. Critical
for meeting the goal of the JAX-ISMMS through supporting hypothesis-driven Projects 1 and 2, we will identify
multimodal molecular signatures and phenotypes associated with impaired airway epithelium response to viral
infection as a function of age (Aim 2). We will develop and employ fixed module repertoires and perform
integrative data analyses to identify age-related immune pathways in response to viral infection. Finally, we will
collectively interpret signatures associated with age-related alteration in airway immune responsiveness and
select candidates for downstream validation experiments (Aim 3). Workshops will be organized to facilitate
collaborative interpretation of datasets generated by our U19 Center and to select candidates for targeted
profiling and functional validation experiments. Dr. Damien Chaussabel, Principal Computational Scientist at
JAX, will lead the DSC, supported by a team of Computational Scientists, a Bioinformatics Analyst, and a Data
Wrangler. The DSC will work with the other Cores, research Projects, and the Technology Development Project
to mine harmonized data across the eight JAX-ISMMS U19 geographical sites. In sum, the DSC's activities are
crucial for achieving the U19's objective of identifying age-related epithelial cell pathways driving immune
dysfunction in the lung.

## Key facts

- **NIH application ID:** 10824105
- **Project number:** 2U19AI142733-06
- **Recipient organization:** JACKSON LABORATORY
- **Principal Investigator:** Damien Chaussabel
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $198,470
- **Award type:** 2
- **Project period:** 2019-03-05 → 2029-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10824105

## Citation

> US National Institutes of Health, RePORTER application 10824105, Data Science Core (2U19AI142733-06). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10824105. Licensed CC0.

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