# Metabolomics Shared Resource

> **NIH NIH P30** · UNIVERSITY OF HAWAII AT MANOA · 2020 · $152,340

## Abstract

ABSTRACT
 The Metabolomics Shared Resource (MeSR) provides UHCC members and researchers with premium
access to expert advice, consultation and technical support services to enable use of advanced metabolomics
and bioinformatics technologies for studies spanning the entire range of cancer research areas represented in
the center. Research conducted by UHCC investigators requires measurements of endogenous metabolites to
discover associations with biological outcomes or disease risk and ensure the consistency and relevance of in
vitro models. These studies span various genetic mutations, “lifestyle” exposures (diet, smoking), and natural
product interventions. Measurement of a large panel of metabolites or metabolite markers in biological samples
requires sophisticated instrumentation and technical expertise. Mass spectroscopic (MS)-based metabolic
profiling approaches have been increasingly applied to in an attempt to understand how metabolome of
mammalian biofluids (serum/plasma or urine), tumor tissues, cell lines (lysates) alter as a result of metabolic
transformation in cancer. Challenges remain in the application of MS metabolic profiling to routine cellular, clinical
and biomedical studies. Our overall hypothesis is that an MS-based, high-throughput metabolomics platform can
identify and characterize metabolite markers and mechanistic pathways that are implicated in cancer
development or treatment. The properties of the target metabolites at low concentration levels in biological
samples frequently present unique challenges for sample preparation and analysis. With validated metabolomics
methods offered in the lab, the omics data analysis can also be challenging, particularly since biological and
health outcomes are dictated by exposures to drugs or multiple agents often requiring simultaneous
measurements of multi-panel biomarkers of a cancer or a treatment and integrated informatics and statistical
analysis of the resulting "big data” sets. MeSR addresses these challenges through the following Specific Aims:
1) provide consultation in the design and execution of studies that require use of metabolomics platform
technologies for cancer research; 2) provide expertise in method development including sample preparation to
enable detection and quantitation of low-concentration or volatile metabolites in complex samples; 3) provide
consultation and practical assistance with statistical and informatics methods for the analysis of metabolomics
datasets generated using the services described in the preceding aims; and 4) provide education and training in
metabolomics methods for cancer research. MeSR is operated by experienced professional staff with effective
mechanisms in place for technical oversight, control and monitoring of instrument scheduling and access, data
archiving and analysis, quality control and quality assurance. The lab has sufficient capacity to accommodate
new research initiated from UHCC research programs; effective use of thes...

## Key facts

- **NIH application ID:** 9968047
- **Project number:** 5P30CA071789-20
- **Recipient organization:** UNIVERSITY OF HAWAII AT MANOA
- **Principal Investigator:** Wei Jia
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $152,340
- **Award type:** 5
- **Project period:** — → 2023-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9968047

## Citation

> US National Institutes of Health, RePORTER application 9968047, Metabolomics Shared Resource (5P30CA071789-20). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9968047. Licensed CC0.

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