Functional Gene Enrichment Results for Histone Mark Co-Occupancy and RNA-Seq Correlation

Figshare hosts a 25.1 KB Excel dataset containing results from a functional gene enrichment analysis of Gene Ontology Biological Process terms. The analysis focuses on protein-coding genes with co-occupancy of histone marks H3K4me3, H3K27Ac, and H3K18La in promoter regions, specifically those showing positive correlation with RNA-seq expression during development. Author Mohita Gaur published the data in April 2026.

Use Cases

• Identify enriched biological pathways using the 'Description' column and associated p-values.
• Assess statistical significance of enrichment results via the 'p.adjust' column for false discovery rate.
• Interpret the proportion of genes involved in a pathway using the 'GeneRatio' and 'BgRatio' columns.
• Filter for strongly correlated histone-RNA interactions by focusing on genes with dynamic occupancy and positive RNA-seq correlation as described.

Strengths

• Dataset includes key statistical metrics like 'p.adjust' for rigorous multiple testing correction.
• Clear methodological description links histone mark co-occupancy (H3K4me3, H3K27Ac, H3K18La) to RNA-seq expression correlation.
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• Very small dataset at 25.1 KB, indicating limited scope and likely low row count.
• No explicit row count or sample data provided, making scale assessment difficult.
• Temporal and geographic coverage of the underlying biological samples is unspecified.

Provenance

Source

Figshare, author Mohita Gaur.

Collection Method

Functional gene enrichment analysis performed on genes with histone mark co-occupancy correlated to RNA-seq expression.

Time Range

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Freshness

Last updated in April 2026, indicating a forward-dated publication likely related to a pre-print or planned study.

Geography

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