Single-Cell Sequencing Data on Periodontitis Gingival Epithelium

Single-cell sequencing data profiles gene expression in gingival epithelium from periodontitis patients post-treatment. The study resolves seven distinct epithelial subpopulations and identifies the LAMB3–ITGA6 axis as a central hub for epithelial adhesion. Data includes results from in vitro keratinization models and in vivo mouse wound healing validation.

Use Cases

• Analyze gene expression patterns across the seven distinct epithelial subpopulations to map repair trajectories.
• Investigate the correlation between LAMB3 and ITGA6 axis expression and cytokeratin family gene regulation.
• Study the effects of retinol and BMS493 treatments on keratinization modulation in human oral keratinocyte models.
• Validate epithelial adhesion and strength mechanisms using data from LAMB3 knockdown and overexpression experiments.

Strengths

• Data originates from single-cell sequencing, a high-resolution method for profiling gene expression.
• Findings are validated through multiple experimental models, including in vitro keratinization and in vivo mouse wound healing.
• The study resolves seven distinct epithelial subpopulations, providing granular cellular insights.

Limitations

• Sample size and row count are unknown, limiting statistical power assessment.
• Data is specific to periodontitis and gingival epithelium, reducing generalizability to other tissues or diseases.
• The 6.4 MB file size indicates a relatively small dataset, potentially containing processed results rather than raw sequencing files.

Provenance

Source

figshare, author Yulong Zhang.

Collection Method

Single-cell sequencing of gingival epithelium from periodontitis patients, combined with in vitro cellular models and in vivo mouse experiments.

Time Range

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Freshness

Last updated March 25, —.

Geography

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