Single-Cell TGFβ Signaling Dynamics with Mathematical Modeling

Encompassing quantitative time-resolved measurements of TGFβ pathway activation at the single-cell level. The study uses dynamic time warping to compare signaling dynamics across thousands of individual cells and describes heterogeneous responses via mathematical modeling.

Use Cases

• Apply dynamic time warping to compare signaling dynamics across thousands of individual cells.
• Build mathematical models to describe heterogeneous single-cell responses to TGFβ dose.
• Analyze how levels of defined signaling proteins determine cell-specific responses.
• Investigate the role of negative feedback regulators like SMAD7 in promoting heterogeneous signal duration.

Strengths

• Data includes quantitative time-resolved measurements at the single-cell level.
• Analysis framework incorporates dynamic time warping and mathematical modeling.
• Focuses on TGFβ signaling, relevant to development, homeostasis, and disease.

Limitations

• Specific data volume (rows, columns), file formats, and sample data are unavailable.
• Scope is limited to in vitro single-cell analysis of a specific signaling pathway.
• Data recency is from 2020, which may not reflect the latest biological insights.

Provenance

Source

Dryad, author Jette Strasen.

Collection Method

Combined experimental and theoretical study acquiring quantitative time-resolved measurements.

Freshness

Last updated 2020-06-24.