Nuclear Blebbing and Rupture Dynamics from 36-Hour Time-Lapse Imaging

Time-lapse imaging data tracking nuclear bleb formation and rupture events in cells over 36 hours. The dataset was created by Andrew Stephens and last updated on 2026-05-29. It contains raw data from experiments using nuclear localization signal (NLS)–GFP to track individual blebbing events.

Use Cases

• Analyzing the temporal sequence of nuclear blebbing and rupture events based on time-lapse imaging.
• Modeling the longevity of nuclear blebs based on their classification as long-lived or short-lived.
• Investigating the plastic versus elastic nature of nuclear deformations based on experimental results from actin depolymerization and nuclear isolation.
• Correlating bleb formation with cell cycle events, such as exit from mitosis, based on the described 12-hour window.

Strengths

• Data is derived from a 36-hour time-lapse imaging experiment, providing a longitudinal view.
• Experiments include specific perturbations like actin depolymerization and nuclear isolation through micromanipulation.
• Dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 25.3 KB, indicating a limited scope of observations.

Provenance

Source

figshare, author Andrew Stephens.

Collection Method

Time-lapse imaging of nuclear localization signal (NLS)–GFP.

Time Range

Imaging conducted over 36 hours.

Freshness

Last updated 2026-05-29 21:00:19; freshness should be verified.