# Core 3: Integrative Models of Aging Core

> **NIH NIH P30** · SALK INSTITUTE FOR BIOLOGICAL STUDIES · 2024 · $165,034

## Abstract

PROJECT SUMMARY – Integrative Models of Aging Core
Aging is a multi-faceted, multi-scale and heterogeneous process. While specific pathways and genes
associated with aging are beginning to emerge from computational modeling studies, in the age of high-
throughput and single-cell sequencing, proteomic, and imaging analyses, researchers in the aging field must
overcome a number of challenges to integrate and interpret these disparate and often massive datasets.
Because of this high barrier to entry, biology of aging researchers are only beginning to approach the study of
aging using integrated data-driven approaches. To support the mission of the San Diego Nathan Shock Center
of Excellence in the Basic Biology of Aging (SD-NSC), the Integrative Models of Aging Core (Modeling Core)
will address these challenges by devising strategies for the generation and curation of high-throughput data,
developing novel integrative algorithms and models for interrogating specific aspects of aging biology,
including the role of cellular heterogeneity, and implementing these models via an accessible online portal. The
Modeling Core proposes the following three specific aims. First, the Core will establish sufficient data
infrastructure. Integrative modeling requires high quality pre-processed data obtained from diverse high-
throughput assays. This Aim will identify and implement the hardware and software resources required to pre-
process and store sequencing, proteomics, metabolomics, and imaging data. Second, the Core will implement
and develop integrative models of aging that take into account the heterogenicity of the process. Integrative
computational models will enable the mapping of diverse pre-processed data inputs into integrated
interpretable biological processes. These models can then be used to generate hypotheses that can be tested
in the lab, resulting in the generation of additional datasets, which can be used to refine the models in an
iterative manner. Work in this aim will consist of: 1) fulfilling requests to apply established techniques for the
integrative analysis of data, and 2) developing customized predictive computational models as tools for
answering specific questions regarding aging biology. Finally, the Core will provide widespread access to
integrative modeling tools. While computational models allow for a systematic understanding of specific aging-
related biological processes, widespread access to these models will be needed to maximize impact across
NSCs and across the field of aging. This aim is focused on translating the models and theories into interactive
tools for use by aging biology researchers.

## Key facts

- **NIH application ID:** 10850841
- **Project number:** 5P30AG068635-05
- **Recipient organization:** SALK INSTITUTE FOR BIOLOGICAL STUDIES
- **Principal Investigator:** Tatyana O. SHARPEE
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $165,034
- **Award type:** 5
- **Project period:** 2020-09-30 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10850841

## Citation

> US National Institutes of Health, RePORTER application 10850841, Core 3: Integrative Models of Aging Core (5P30AG068635-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10850841. Licensed CC0.

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