# Administrative Supplement: Mechanisms of Spliceosome Assembly and Regulation

> **NIH NIH R35** · UNIVERSITY OF WISCONSIN-MADISON · 2020 · $5,797

## Abstract

PROJECT SUMMARY/ABSTRACT
The overarching goals of the parent R35 award is to elucidate mechanisms of spliceosome assembly and
regulation in biochemical depth using a variety of techniques. This administrative supplement will support
undergraduate research, scientific development, and career development and contribute to these goals. The
candidate (Lukas Voigts) will complete a full-time virtual learning and research experience during the Summer
of 2020 in my laboratory. He will annotate human spliceosome cryo-EM structures with the locations of human
disease-causing mutations. This will allow him to study the structure/function impact of these mutations. In
addition, he will create Pymol session files and scripts to allow others to view his annotated structures. These
files will be a valuable addition to the field for others studying pre-mRNA splicing and human disease. As part of
this training, Lukas will gain new technical and operational skills in structural biology and writing computer scripts
for Pymol. He will also be mentored in scientific research, communication, and career development with an aim
towards meeting his own career goals of a position in the biotechnology or pharmaceutical industry upon
graduation.

## Key facts

- **NIH application ID:** 10169637
- **Project number:** 3R35GM136261-01S1
- **Recipient organization:** UNIVERSITY OF WISCONSIN-MADISON
- **Principal Investigator:** Aaron Andrew Hoskins
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $5,797
- **Award type:** 3
- **Project period:** 2020-05-01 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10169637

## Citation

> US National Institutes of Health, RePORTER application 10169637, Administrative Supplement: Mechanisms of Spliceosome Assembly and Regulation (3R35GM136261-01S1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10169637. Licensed CC0.

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