# Proteomics Core

> **NIH NIH P01** · CLEVELAND CLINIC LERNER COM-CWRU · 2020 · $274,264

## Abstract

CORE B: PROJECT SUMMARY 
The mission of the Mass Spectrometry Core is to make advanced proteomics experiments available to all three 
project investigators. This Program Core will utilize equipment and expertise that are part of an existing Lerner 
Research Institute facility that provides mass spectrometry based proteomic expertise. This includes several 
mass spectrometric instruments that are necessary for advanced proteomic experiments, highly experienced 
personnel who can help plan and carry out these experiments, and the software tools needed to analyze the 
proteomic data. The Core activities will be overseen by Dr. Stark and by Dr. Belinda Willard, the Director of the 
Institute facility. A research technologist funded by and dedicated to the Program Core will assist all three 
project leaders with sample preparation and analysis with assistance and data analysis provided by Institute 
facility personnel. All three program project investigators and co-investigators have utilized the Institute 
proteomics core extensively in previous years, including Drs. Stark, Sen, Hamilton, Li, and Jackson. The 
inclusion of the mass spectrometry core in this Program will allow all investigators to perform large-scale 
quantitative proteomic experiments and will serve as an important resource integrating the scientific themes of 
the overall Program.

## Key facts

- **NIH application ID:** 9891018
- **Project number:** 5P01CA062220-25
- **Recipient organization:** CLEVELAND CLINIC LERNER COM-CWRU
- **Principal Investigator:** GEORGE ROBERT STARK
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $274,264
- **Award type:** 5
- **Project period:** — → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9891018

## Citation

> US National Institutes of Health, RePORTER application 9891018, Proteomics Core (5P01CA062220-25). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9891018. Licensed CC0.

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