# MetaOmics

> **NIH NIH P30** · THOMAS JEFFERSON UNIVERSITY · 2020 · $438,857

## Abstract

MOSR Summary 
The mission of the Sidney Kimmel Cancer Center MetaOmics Shared Resource (MOSR) is to provide a 
comprehensive resource across the SKCC consortium that meets all the “omics” needs of SKCC members 
through a single portal. These “omics” include: genomics, epigenetics, transcriptomics, proteomics, glycomics, 
metabolomics, and lipidomics. The MOSR evolved during the last project period through a carefully planned 
expansion of the SKCC’s former Cancer Genomics Shared Resource (CGSR). The CGSR, founded in 2007 by 
Paolo Fortina, MD, PhD, fostered leading-edge cancer research through its technology and specialized 
expertise in genomics and bioinformatics. In response to growing demand for a broader range of omics 
capabilities, the CGSR combined with a developing facility at Drexel University College of Medicine, led by 
Garth Ehrlich, PhD, FAAAS. Dr. Ehrlich now serves as the MOSR Director, and Dr. Fortina serves as Co- 
Director of the combined facility. New or enhanced services include: consultative faculty-level experimental 
design services; state-of-the-art laboratory services covering multiple omics disciplines; and data analysis 
services for high throughput and high fidelity omics-based technologies provided by a team of highly trained 
bioinformaticians. Besides new instrumentation platforms, the MOSR continues to provide Illumina-based high- 
throughput short-read DNA sequencing and RNAseq capabilities, as well as array-based technologies. Current 
goals for the MOSR include: 1) Leverage the latest genomics, proteomics, and metabolomics technologies to 
serve SKCC members conducting advanced cancer research; 2) Provide expertise and guidance in 
experimental and project design and analysis through a single portal; 3) Promote a user friendly environment 
by providing expert consultations, high-quality services at reasonable fees, fast turnaround, and ready access 
to equipment after training; 4) Provide bioinformatics analysis on all samples ensuring rapid feedback on 
sample and library quality, suggest future experiments indicating whether additional analyses are warranted; 5) 
Coordinate with other SKCC Shared Resources, particularly Biostatistics, Translational Pathology, and Flow 
Cytometry, to efficiently and effectively support larger-scale projects on behalf of all users.

## Key facts

- **NIH application ID:** 9956992
- **Project number:** 5P30CA056036-21
- **Recipient organization:** THOMAS JEFFERSON UNIVERSITY
- **Principal Investigator:** Paolo M Fortina
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $438,857
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9956992

## Citation

> US National Institutes of Health, RePORTER application 9956992, MetaOmics (5P30CA056036-21). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9956992. Licensed CC0.

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