TDP-43 Aggregation and Dysfunction Reporter Data

Figshare data from Lohany Dias Mamede supports a 2026 study on TDP-43 pathology in neurodegenerative diseases. The 10.0 KB XLSX file contains experimental results from a human biosensor cell line used to model TDP-43 aggregation and its functional consequences. It captures features like cryptic exon splicing and DNA damage to analyze the link between protein misfolding and cellular dysfunction.

Use Cases

• Analyze the correlation between TDP-43 aggregation seeding and the activation of cryptic exon splicing events.
• Model the feed-forward mechanism of TDP-43 autoregulation disruption using data on nuclear TDP-43 depletion.
• Assess the impact of ataxin-2 level reduction on restoring TDP-43 activity from aggregation metrics.
• Investigate the induction of signature features like increased DNA damage in response to prion-like seeding.

Strengths

• Data is directly linked to a peer-reviewed scientific figure (S6B Fig) in a study on TDP-43 pathology.
• The dataset is recent, with a last update in March 2026.
• Shared under a permissive CC BY 4.0 license for broad reuse.

Limitations

• The dataset is very small at 10.0 KB, indicating limited scope and likely a summary of key results rather than raw experimental data.
• Column structure and row count are unknown, complicating direct computational analysis without manual inspection.
• Data is generated from a specific, engineered cell-based reporter model, which may not fully capture in vivo disease complexity.

Provenance

Source

Lohany Dias Mamede via figshare.

Collection Method

Generated from experiments using a human biosensor cell line to study TDP-43 aggregation and function.

Freshness

Last updated 2026-03-24.