# Collaboration and Service

> **NIH NIH P41** · UNIVERSITY OF WASHINGTON · 2021 · $235,269

## Abstract

Project Summary
The overall goal of the collaboration efforts of the Yeast Resource Center is to continue refining technologies
developed within the center while simultaneously providing access to expertise and resources to the scientific
community. Our resource has been an invaluable collaborative resource for the scientific community by
making available advanced technologies developed by the center. In the last 5 years our Biomedical
Technology Research Resource (BTRR) has had a total of 347 collaborations that are widely distributed
throughout the United States. Collaborations differ from our Driving Biomedical Projects in that they don't
require the development of new technologies but instead directly apply more established methods that make
use of the expertise, instrumentation, software, and protocols facilitated by our resource. We have a history of
openly supporting the scientific community by accepting collaborations that align with our expertise. A strength
of a “Yeast” resource center is that we have been a valuable resource and source of collaboration for the yeast
scientific community. These collaborations have become an excellent opportunity in refining our established
technologies. Once refined, methods often get extended to collaborations in experimental systems beyond
yeast as the technology matures.

## Key facts

- **NIH application ID:** 10141254
- **Project number:** 5P41GM103533-25
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Michael MacCoss
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $235,269
- **Award type:** 5
- **Project period:** 1997-09-30 → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10141254

## Citation

> US National Institutes of Health, RePORTER application 10141254, Collaboration and Service (5P41GM103533-25). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10141254. Licensed CC0.

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