Top Differentially Expressed Genes by Day After Deafferentation

A figshare dataset by Felicia F. Wang lists the top 10 upregulated and downregulated gene candidates following deafferentation. It includes predicted protein length, log fold-change, adjusted p-value, and BLAST-x results for each gene, with data last updated in April 2026. The dataset is small, at 13.5 KB, and is provided in an XLS file format.

Use Cases

• Identify potential biomarker genes based on high fold-change values reported.
• Prioritize candidate genes for functional validation using the provided BLAST-x homology results.
• Analyze temporal patterns of gene regulation using the 'by day' structure mentioned in the description.

Strengths

• Includes statistical metrics for each gene, specifically log fold-change and adjusted p-value.
• Applies a defined filter for lowly expressed genes (<70) and a BLAST E-value threshold (>1e-10).
• Data is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection.

Provenance

Source

figshare, author Felicia F. Wang.

Collection Method

Likely derived from RNA-seq or similar transcriptomic analysis after deafferentation, followed by bioinformatic filtering and annotation.

Freshness

Last updated 2026-04-29 17:36:10.