Kat6a Knockout vs Wild-Type NSPCs: Auto-CUT&Tag Sequencing Results

Auto-CUT&Tag sequencing results comparing histone modifications and protein occupancy in differentiating neural stem cells with and without the Kat6a gene. The 39.4 MB dataset, authored by Anne K. Voss and last updated in May 2026, contains six Excel tabs profiling differential genomic regions for H3K9ac, H3K14ac, H3K23ac, MLL1, H3K4me3, and POLR2A.

Use Cases

• Identify genomic regions with differential histone acetylation based on H3K9ac, H3K14ac, and H3K23ac occupancy data.
• Analyze the role of the Kat6a gene in regulating transcription factor binding based on MLL1 and POLR2A occupancy.
• Investigate the relationship between histone methylation and acetylation marks based on H3K4me3 data.
• Compare chromatin accessibility landscapes in neural stem cells during differentiation.

Strengths

• Contains data for six distinct epigenetic marks and proteins, enabling multi-factorial analysis.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and redistribution.
• File size of 39.4 MB indicates a dataset with substantial, but manageable, detail.

Limitations

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

Provenance

Source

Anne K. Voss via figshare

Collection Method

Auto-CUT&Tag sequencing

Time Range

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Freshness

Last updated 2026-05-04 17:43:57; freshness should be verified.

Geography

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