# Myo10-Driven Filopodia in Skeletal Muscle

> **NIH NIH R01** · UNIVERSITY OF FLORIDA · 2020 · $375,996

## Abstract

Myo10-Driven Filopodia in Skeletal Muscle: H. Lee Sweeney, P.I.
Abstract:
This project will investigate the role of an unconventional myosin, myosin X (Myo10), and the filopodia that it
generates in myoblasts and nascent myotubles. We postulate that it is only present in muscle cells/satellite cells
that are actively in the process of fusing with each other, which would be during muscle growth and regeneration.
We further postulate that Myo10 forms filopodia and carries components of the fusion machinery to the tips of
those filipodia, greatly increasing the efficiency and probability of cell fusion. We will examine the consequences
of loss of Myo10 and its interactions in myogenic cells in the following aims: 1) Delineate the role of myosin X
(Myo10) involvement in myoblast fusion and identify regulatory mechanisms of protein targeting and activation
in vitro; 2) Evaluate the requirement of myosin X (Myo10) for muscle regeneration; and, 3) Investigate Myosin X
(Myo10) as a modifier of chronic muscle disease. These experiments will uncover previously unstudied aspects
of the fusion process for skeletal muscle growth and regeneration, and may delineate new modifiers/targets in
disease states of skeletal muscle that require rapid muscle regeneration using satellite cells.

## Key facts

- **NIH application ID:** 9970176
- **Project number:** 5R01AR075637-02
- **Recipient organization:** UNIVERSITY OF FLORIDA
- **Principal Investigator:** H Lee Sweeney
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $375,996
- **Award type:** 5
- **Project period:** 2019-07-01 → 2024-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9970176

## Citation

> US National Institutes of Health, RePORTER application 9970176, Myo10-Driven Filopodia in Skeletal Muscle (5R01AR075637-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9970176. Licensed CC0.

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