Data from: Stall force measurement of the kinesin-3 motor KIF1A using a programmable DNA origami nanospring
Abstract
This dataset contains fluorescence microscopy video data (.avi) of DNA origami nanosprings used to measure the force generated by the kinesin-3 motor protein KIF1A. The dataset includes recordings for wild-type KIF1A and multiple disease-related KIF1A mutants (e.g., V8M, A255V, P305L), organized into separate directories.
Each video captures nanospring extension under force, which can be used to quantify stall force and analyze motor dynamics.
Overview
This dataset contains fluorescence microscopy videos of DNA origami nanosprings used to measure the force generated by the kinesin-3 motor protein KIF1A. The dataset includes recordings for wild-type (WT), homozygous mutants (P305L/P305L, V8M/V8M, A255V/A255V), and heterozygous mutants (P305L/WT, V8M/WT, A255V/WT).
Each video captures nanospring extension under force, enabling analysis of motor-driven movement and estimation of stall force.
File Structure
The dataset is organized into directories by construct:
WT_WT/ : Wild-type KIF1A
P305L_P305L/ : Homozygous mutant (P305L/P305L)
V8M_V8M/ : Homozygous mutant (V8M/V8M)
A255V_A255V/ : Homozygous mutant (A255V/A255V)
P305L_WT/ : Heterozygous mutant (P305L/WT)
V8M_WT/ : Heterozygous mutant (V8M/WT)
A255V_WT/ : Heterozygous mutant (A255V/WT)
Each directory contains multiple .avi video files corresponding to independent experimental recordings.
File Description
- Each
.avifile represents a fluorescence microscopy recording of a single nanospring experiment. - Videos contain time-lapse image sequences of fluorescently labeled nanosprings.
- No preprocessing (e.g., filtering or background subtraction) has been applied.
Experimental Details
- System: DNA origami nanospring assay
- Motor protein: KIF1A (wild-type and mutants)
- Imaging method: Fluorescence microscopy
- Fluorophore: Cy3
- Frame rate: 33 frames per second
- Pixel size: 65 nm/pixel
Data Format
- File format: AVI
- Encoding: unknown
- Each frame corresponds to a single time point in the experiment
Software Requirements
The data can be analyzed using:
- Python
- ImageJ / Fiji
