Single-cell and Spatial Transcriptomic Data for Gastric Cancer Peritoneal Metastasis

Four human patients and nine mice provide single-cell RNA sequencing data for peritoneal metastasis of gastric cancer (PMGC). Spatial transcriptomic data is also included from one human PMGC lesion. The dataset was authored by Wangyu Cai and last updated on April 28, 2026.

Use Cases

• Characterizing cell type heterogeneity in peritoneal metastases based on single-cell RNA-seq data.
• Mapping spatial gene expression patterns within a tumor lesion using the spatial transcriptomic data.
• Comparing transcriptional profiles across different treatment conditions using the mouse model data.
• Identifying potential biomarkers or therapeutic targets for gastric cancer metastasis.

Strengths

• Includes data from four human patients and nine mice across distinct treatment conditions.
• Combines single-cell resolution data with spatial context from one lesion.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

figshare

Collection Method

Data generated from scRNA-seq and spatial transcriptomic profiling of clinical and mouse model samples.

Time Range

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Freshness

Last updated 2026-04-28 01:40:21; freshness should be verified.

Geography

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