Spatial Transcriptomics of Ameloblastoma Tumor Ecosystem with 7 Cell Clusters

Spatial transcriptomic sequencing delineated the ameloblastoma tumor ecosystem into seven primary cell clusters, including epithelial tumor cells and tumor-associated cells with osteoclast-like gene expression (TAC-OGEs). The dataset includes immunohistochemistry validation from an independent case series of 15 specimens, confirming the spatial expression of FN1 and MMP9 at the tumor-stroma interface. The data was authored by Yitong Wang and last updated on 2026-04-30.

Use Cases

• Analyze cellular heterogeneity in ameloblastoma based on the seven identified primary cell clusters.
• Investigate spatial expression gradients of FN1 and MMP9 based on their association with the tumor's invasive front.
• Study the differentiation states of TAC-OGE subclusters based on their spatial gradient from tumor core to periphery.
• Validate spatial transcriptomic findings using the independent immunohistochemistry data from 15 clinical specimens.

Strengths

• Includes independent validation from 15 clinical specimens using immunohistochemistry and multiplex immunofluorescence.
• Dataset is licensed under CC-BY-4.0, allowing for open sharing and reuse.
• Spatial transcriptomics approach provides location-specific gene expression data for the tumor ecosystem.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 10.0 KB, indicating limited scope, likely containing summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Spatial transcriptomic sequencing combined with integrated omics analysis of clinical tumor specimens.

Freshness

Last updated 2026-04-30 05:41:50; freshness should be verified.