# Mechanical Regulation of Actin Binding Proteins

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA BERKELEY · 2022 · $200,000

## Abstract

Project Summary
PI: Daniel Fletcher, Ph.D.
NIH R01 Administrative Supplement
Project Title: Mechanical Regulation of Actin Binding Proteins
Project Period: 7/25/2019 – 4/30/2023
The actin cytoskeleton consists of spatially organized structures of filaments that are architecturally distinct and
formed from over 300 different actin-binding proteins. One of the key roles of actin networks in cells is to
generate, transmit, and resist physical forces, but whether the forces carried by actin filaments influence the
binding of actin-binding proteins is not well understood. This project is investigating the ability of tandem calponin-
homology domains (CH1-CH2) to bind actin filaments in a tension-dependent manner, and it will explore the
functional impact of tension-dependent binding through a set of in vitro and live cell experiments. The requested
FRET-FLIM attachment will provide a way to test our hypothesis that tension-dependent changes in actin
filaments can alter protein binding affinity by relieving the steric inhibition at the binding interface. The outcome
of this work will be a new understanding of how force can organize actin networks and influence the function of
both healthy and diseased cells.

## Key facts

- **NIH application ID:** 10582008
- **Project number:** 3R01GM134137-04S1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA BERKELEY
- **Principal Investigator:** DANIEL A FLETCHER
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $200,000
- **Award type:** 3
- **Project period:** 2019-07-25 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10582008

## Citation

> US National Institutes of Health, RePORTER application 10582008, Mechanical Regulation of Actin Binding Proteins (3R01GM134137-04S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10582008. Licensed CC0.

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