# Genomics

> **NIH NIH P30** · UNIVERSITY OF ARIZONA · 2020 · $191,523

## Abstract

Project Summary / Abstract: Genomics Shared Resource (GSR)
The goal of the Genomics Shared Resource (GSR) is to provide advanced genomics technology and services
required to support the full range of cancer research conducted at the University of Arizona Cancer Center
(UACC). Single gene to full genome analyses is one cornerstone of cancer biology research and discovery.
The GSR provides UACC Members with guided, high-quality, cost-efficient access to a full spectrum of
genomic cornerstone technologies. The GSR delivers the following services: 1) next-generation sequencing; 2)
epigenetic analysis; 3) gene expression profiling; 4) genome-wide DNA analysis; and 5) genomic DNA
variance. Within these categories of service, techniques include whole genome expression profiling,
comparative genomic hybridization, sequence-based copy number variance, whole exome sequencing,
shotgun sequencing, targeted sequencing panels, RNA-seq, chromatin immunoprecipitation (ChIP)-seq,
genotyping, epigenomic ChIP-chip assays, real-time quantitative PCR (qPCR), sample quality
assurance/quality control (QA / QC), sample isolation, experimental consultation, data analysis, and data
archiving. With the ability to analyze single gene/small gene sets as well as genome wide analyses, the GSR
offers great flexibility in analytical approaches. In addition, the GSR provides the capability for developing
custom applications and makes new technologies available to address the specific needs of UACC
investigators. GSR equipment includes: two Ion Torrent Personal Genome Machines, an Ion Torrent Proton
(for small to large next-generation sequencing needs), Affymetrix and Agilent microarray platforms (for
hybridization-based services), and three Applied Biosystems qPCR machines (for full service and self-service
PCR applications). The GSR provides consultation on experiment design, and sample preparation, followed by
sample QA / QC in preparation for the analysis. Data analysis and storage are critical to investigator's ability to
access their data for publication and dissemination. Accordingly, the GSR provides microarray, sequence, and
qPCR analysis to support the preparation of publications and grants. In addition, the Service provides access
to raw data through a password protected website, along with triply redundant backup of investigator's data for
five years.

## Key facts

- **NIH application ID:** 9969487
- **Project number:** 5P30CA023074-40
- **Recipient organization:** UNIVERSITY OF ARIZONA
- **Principal Investigator:** Bernard W FUTSCHER
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $191,523
- **Award type:** 5
- **Project period:** — → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9969487

## Citation

> US National Institutes of Health, RePORTER application 9969487, Genomics (5P30CA023074-40). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9969487. Licensed CC0.

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