# Chemical Approaches for Interrogating Fundamental Biomedical Processes

> **NIH NIH R35** · UNIVERSITY OF VIRGINIA · 2024 · $390,681

## Abstract

Project Summary
 Cellular communication involves the interplay of small molecule signaling species as well as a myriad of
enzymatic activities that are tightly regulated in both space and time to orchestrate biological responses. The
malfunction of these pathways results in abnormal cellular function and human disease. Our long-term goal is
to develop a detailed, molecular level understanding of cellular signaling in both normal and diseased states.
We approach this problem through the development and application of designer fluorophore- and protein-
based systems. Our lab has developed new classes of fluorescent probes for monitoring and responding to the
presence of signaling species associated with human disease. In complementary work, we have developed
protein-based approaches for precisely controlling cellular signaling events. During the next five years, we will
apply our technologies to illuminate spatial aspects of cell signaling as well as the fine details of the molecular
assemblies involved in cell signaling. We will also pursue new platforms for the gated release of agents in
living systems and approaches for monitoring signaling enzyme activity in living cells. Together, this work will
provide a more detailed understanding of cellular processes associated with human disease.

## Key facts

- **NIH application ID:** 10900559
- **Project number:** 5R35GM148221-02
- **Recipient organization:** UNIVERSITY OF VIRGINIA
- **Principal Investigator:** Cliff I Stains
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $390,681
- **Award type:** 5
- **Project period:** 2023-09-01 → 2028-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10900559

## Citation

> US National Institutes of Health, RePORTER application 10900559, Chemical Approaches for Interrogating Fundamental Biomedical Processes (5R35GM148221-02). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10900559. Licensed CC0.

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