# Molecular Regulation of Stem Cell Aging

> **NIH NIH P01** · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2024 · $123,255

## Abstract

Project Summary
Bioinformatics Core C (Pellegrini). The Bioinformatics core will provide a central hub for data
analysis for the program projects. We will process next-generation sequence data to enable the
measurement of transcriptomes and epigenomes. This will be carried out for both bulk and single
cell genomic approaches. Moreover, we will also process spatial data and provide estimates of
cell types present across a tissue. As the focus of our program is to elucidate age dependent
changes in stem cells and other cell types, the core will also develop models of age associated
changes in genomic data. To this end, our core not only has expertise in the use of standard
machine learning methodologies to construct epigenetic clocks but has also developed new
methodologies to model non-linear associations between epigenetic data and age. This is of
relevance, as age associated genomic changes have been shown to often follow non-linear
trajectories that capture rapid changes early in development, followed by slower ones later in the
later part of the lifespan. Finally, the core will also assist the program by providing data
visualization interfaces to facilitate the analysis of complex single cell genomic data.
The director and scientists of the core not only have extensive expertise in the application of
standard data analysis platforms but have also developed multiple methodologies that will be
provided as a service within the core. This includes methods to align DNA methylation data (i.e.
BSBolt), model non-linear epigenetic trajectories (i.e. Epigenetic Pacemaker), deconvolute bulk
transcriptomic data to identify the cell type composition (i.e. GEDIT) as well as assign cell types
in single cell data (i.e. ACTINN) and finally to analyze transcriptomic data using signature
databases (i.e. SAVANT).
In conclusion, this core will provide cutting edge data analysis support to maximize the
interpretability of the genomic data that will be collected throughout this program and advance the
understanding of age associated transcriptomic and epigenomic changes.

## Key facts

- **NIH application ID:** 10768509
- **Project number:** 2P01AG036695-12A1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA LOS ANGELES
- **Principal Investigator:** Matteo Pellegrini
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $123,255
- **Award type:** 2
- **Project period:** 2011-07-01 → 2029-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10768509

## Citation

> US National Institutes of Health, RePORTER application 10768509, Molecular Regulation of Stem Cell Aging (2P01AG036695-12A1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10768509. Licensed CC0.

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