m6Am Methylation Predictions for the Fzd4 Gene in Osteogenesis

Mouse model data contains m6Am methylation prediction results for the Wnt-related gene Fzd4, derived from a study on PCIF1-mediated RNA modification in mesenchymal stem cells. The dataset is a small 11.0 KB CSV file created by author Wei Song and last updated in April 2026. It supports findings that PCIF1 knockout decreases m6Am signals on specific genes, accelerating mRNA degradation and impairing osteogenic function.

Use Cases

• Validate m6Am prediction models by comparing results for the Fzd4 gene against experimental data from Pcif1 knockout studies.
• Correlate predicted m6Am methylation status of Fzd4 with downstream osteogenic differentiation markers and beta-Catenin activity levels.
• Integrate Fzd4 m6Am predictions with single-cell transcriptomics or TWAS data to identify regulatory links between RNA methylation and bone mineral traits.

Strengths

• Data is directly linked to a published mechanistic study on PCIF1 and bone mass regulation.
• Available under a permissive CC-BY-4.0 license for reuse and redistribution.

Limitations

• The dataset is very small at 11.0 KB, indicating limited scope, likely containing results for only a few genes.
• Specific column names, row counts, and data structure are not provided in the description.
• Data is derived from a specific mouse model study, which may limit direct applicability to human biology.

Provenance

Source

Figshare, uploaded by author Wei Song.

Collection Method

Results from m6Am prediction analyses, likely from computational tools, supporting wet-lab experiments on Pcif1 knockout mice.

Freshness

Last updated in April 2026, indicating recent data generation.