Differential Chromatin Binding and Gene Enrichment from 2-DG CUT&Tag

Results from a CUT&Tag experiment analyzing differential chromatin binding of H3K18La and H3K27Ac histone marks under 2-deoxy-D-glucose (2-DG) treatment versus control. The dataset includes differential binding statistics and functional gene enrichment analysis for Gene Ontology Biological Process terms. Author Mohita Gaur published the data on figshare in 2026.

Use Cases

• Identify genes with significant log2 fold-change (logFC column) in histone mark binding under metabolic perturbation.
• Assess statistical significance of differential peaks using the false discovery rate (FDR) column from the quasi-likelihood negative binomial GLM.
• Compare mean peak quantitation between conditions using the H3K18LA_CNTRL_FPKM_mean and H3K18LA_2DG_FPKM_mean columns.
• Perform pathway analysis using functional gene enrichment results, including GeneRatio and BgRatio columns.
• Filter enriched biological processes by adjusted p-value using the 'p.adjust' column from the Benjamini-Hochberg correction.

Strengths

• Includes results from two specific histone modifications (H3K18La and H3K27Ac) for comparative analysis.
• Statistical results derived from a quasi-likelihood negative binomial generalized log-linear model applied to normalized count data.
• Enrichment analysis provides GeneRatio and BgRatio metrics for pathway interpretation.

Limitations

• The dataset is small at 33.9 MB, suggesting a limited scope of genomic regions or conditions analyzed.
• Unknown row count for differential binding and enrichment tables limits assessment of statistical power.
• Data is specific to a single experimental perturbation (2-DG) and cell type, limiting generalizability.

Provenance

Source

figshare, authored by Mohita Gaur.

Collection Method

Generated from 2-DG versus control CUT&Tag experiments, with differential analysis using a GLM and functional enrichment analysis.

Freshness

Last updated in April 2026, indicating recent data.