# The Specialized Animal Resources Core

> **NIH NIH P30** · CASE WESTERN RESERVE UNIVERSITY · 2024 · $104,541

## Abstract

ABSTRACT
The Specialized Animal Resources Core
The purpose of the Specialized Animal Resources Core is to enhance the capabilities of individual investigators
to conduct vision-related research, including generation and characterization of genetically-modified animals.
The Specific Aims of the Specialized Animal Resources Core are as follows: 1) to maintain and breed genetically-
modified mouse lines for VSRC investigators; 2) to provide investigators with real time colony management data
so they can plan and conduct experiments accordingly; 3) to closely work with the Manager of the Molecular
Biology and Genotyping Core to ensure a timely genotyping of the generated mouse lines; 4) to help investigators
assess retinal structure and visual function using noninvasive methods while animals are alive, and 5) to promote
collaborations among vision science researchers by providing access to state-of-the art equipment and
expertise. The Core’s resources along with highly experienced personnel will enable individual investigators to
generate genetically modified mouse lines faster and in a cost-efficient manner. The Core will also provide
investigators with a thorough understanding of the mouse ocular phenotypes caused by specific mutations and
the underlying molecular processes.

## Key facts

- **NIH application ID:** 10878934
- **Project number:** 5P30EY011373-28
- **Recipient organization:** CASE WESTERN RESERVE UNIVERSITY
- **Principal Investigator:** Johannes Friedrich von Lintig
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $104,541
- **Award type:** 5
- **Project period:** 1997-04-01 → 2027-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10878934

## Citation

> US National Institutes of Health, RePORTER application 10878934, The Specialized Animal Resources Core (5P30EY011373-28). Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/grant/nih/10878934. Licensed CC0.

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