# Molecular and Cellular Biology Module

> **NIH NIH P30** · UNIVERSITY OF WASHINGTON · 2024 · $107,158

## Abstract

Molecular and Cellular Biology Core Module – Project Summary
The main objectives of the Vision Research Core are to enhance the productivity and efficiency of the research
programs of the UW vision scientists and to facilitate collaboration among investigators. The Molecular and
Cellular Biology Module enhances productivity and efficiency by providing access to shared equipment and
facilities that are used daily by multiple labs. This enhances efficiency by avoiding unnecessary duplication of
expensive equipment and enhances the capabilities of individual labs by providing access to expensive
equipment that would be beyond the resources of the individual labs. Shared instruments include Sanger DNA
sequencing, quantitative real-time PCR, gel documentation systems, MilliQ water purification system,
ultracentrifuges, a variety of tabletop centrifuges, shakers for bacterial cultures, a spectrophotometer and a cell
culture facility. In addition to providing access to equipment and facilities, the core also maintains the
equipment in good working order. Core Module staff provide technical expertise in the use of the module’s
equipment, and in a variety of molecular and cellular biology methods. Interactions among investigators using
the shared resources available in this module stimulates collaboration.

## Key facts

- **NIH application ID:** 10925262
- **Project number:** 5P30EY001730-49
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** JAMES Bryant HURLEY
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $107,158
- **Award type:** 5
- **Project period:** 1997-06-01 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10925262

## Citation

> US National Institutes of Health, RePORTER application 10925262, Molecular and Cellular Biology Module (5P30EY001730-49). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10925262. Licensed CC0.

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