Differential Histone H3K18La Binding Analysis Across Developmental Stages

Results from a differential binding analysis of histone modification H3K18La across postnatal developmental time points P4, P10, and P28. The dataset contains statistical outputs from a quasi-likelihood negative binomial generalized log-linear model applied to normalized count data. It was authored by Mohita Gaur and uploaded to Figshare in April 2026.

Use Cases

• Identify peaks with significant H3K18La binding changes using the logFC.P10vsP4 and logFC.P2P4 columns for fold-change and the FDR column for statistical significance.
• Compare mean peak quantification across stages using the P4_FPKM_mean, P10_FPKM_mean, and P28_FPKM_mean columns to assess binding intensity.
• Filter for high-confidence differential peaks by applying thresholds on log2 fold-change (logFC columns) and false discovery rate (FDR column).
• Integrate these differential binding results with gene expression data from corresponding developmental stages using genomic coordinates.

Strengths

• Statistical results include key metrics like log2 fold-change and Benjamini-Hochberg false discovery rate (FDR).
• Provides mean peak quantitation in FPKM across three distinct time points (P4, P10, P28).
• Data is shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is very small at 25.1 KB, indicating a limited number of genomic features or peaks analyzed.
• Sample size and biological replicates underlying the statistical model are not specified.
• Temporal coverage is restricted to three specific postnatal time points.

Provenance

Source

Figshare, authored by Mohita Gaur.

Collection Method

Differential binding analysis of H3K18La ChIP-seq data using a quasi-likelihood negative binomial GLM on normalized counts.

Time Range

Covers postnatal developmental stages P4, P10, and P28.

Freshness

Last updated in April 2026.