Drosophila Pair-Rule Gene Expression Dynamics in Segmentation

Data from a study investigating the regulatory network of seven pair-rule genes during Drosophila embryo segmentation. The research identifies the transcription factor Odd-paired as a key driver of frequency-doubling events that pattern parasegment boundaries. The dataset was authored by Erik Clark and last updated in June 2020.

Use Cases

• Analyze the spatiotemporal dynamics of pair-rule gene expression patterns like Even Skipped and Ftz to model regulatory interactions.
• Investigate the role of the Odd-paired (Opa/Zic) transcription factor in precipitating frequency-doubling events within the gene network.
• Model the temporally-modulated topology of the pair-rule gene regulatory network using data on genes such as Paired, Run, and Sloppy Paired.
• Study the patterning of even-numbered parasegment boundaries based on Opa-dependent regulatory interactions involving genes like Wingless and Gooseberry.

Strengths

• Focuses on a specific, well-defined biological process involving seven core pair-rule genes.
• Data is associated with a peer-reviewed study published in 2020, providing a recent scientific context.
• Includes data on multiple transcription factors and regulatory interactions, such as Odd-paired, Hairy, and Ushi Tarazu.

Limitations

• The dataset scope is limited to Drosophila embryogenesis, specifically segmentation patterning.
• Specific data structure, file formats, and size are unknown, complicating immediate usability assessment.
• The sample data is unavailable, preventing verification of data format and quality before download.

Provenance

Source

Dryad digital repository.

Collection Method

Data generated from the analysis of spatiotemporal gene expression dynamics in Drosophila embryos, as described in the associated publication.

Freshness

Last updated on 2020-06-24.