# Equip Supplement- Refeyn TwoMP Mass Photometer

> **NIH NIH R35** · UNIVERSITY OF COLORADO DENVER · 2024 · $248,085

## Abstract

Summary
Pre-mRNA splicing is essential for gene expression in all eukaryotes and errors in splicing cause genetic
disorders and many other diseases. A thorough understanding of the molecular mechanisms of pre-mRNA
splicing has the potential to provide useful approaches for human disease therapy. The splicing of introns is
carried out through two transesterification reactions catalyzed by the spliceosome, a large RNA/protein
complex composed of five snRNPs (U1, U2, U4, U5, U6) and many non-snRNP related protein factors. The
spliceosome undergoes dramatic changes in a splicing cycle, generating the E, A, Pre-B, B, Bact, B*, C, C*, P,
and ILS complexes. Genetic, biochemical, and structural studies in the past four decades have generated
tremendous information on the mechanism of splicing, but significant knowledge gaps remain. Our goal in the
next 5 years is to use a combination of structural, biochemical, and genetic/genomics approaches to
understand the mechanism and modulation of alternative 5’ ss recognition, the mechanism of exon definition,
and the mechanism and function of transcription and splicing coupling. We envision that these projects will fill
several significant knowledge gaps and advance our understanding of the mechanism of splicing.

## Key facts

- **NIH application ID:** 11035611
- **Project number:** 3R35GM145289-03S1
- **Recipient organization:** UNIVERSITY OF COLORADO DENVER
- **Principal Investigator:** RUI ZHAO
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $248,085
- **Award type:** 3
- **Project period:** 2022-06-01 → 2027-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11035611

## Citation

> US National Institutes of Health, RePORTER application 11035611, Equip Supplement- Refeyn TwoMP Mass Photometer (3R35GM145289-03S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/11035611. Licensed CC0.

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