Spatial Transcriptomics of Pancreatic Ductal Adenocarcinoma Heterogeneity

Spatial transcriptomics data from one normal pancreatic tissue, pancreatic cancer tissue, adjacent tumor tissue, and tumor stroma. The dataset includes 18,075 spatial spots clustered into 22 groups based on gene expression profiles, with biological pathway analysis. It was authored by Zhangyong Ren and last updated on 2026-04 24.

Use Cases

• Identify malignant cell subpopulations based on KRT13+FABP5+ expression profiles mentioned in the description
• Analyze the functional roles of fibroblasts in adjacent tumor tissue based on pathways like 'B-cell activation'
• Study inflammatory cancer-associated fibroblasts (FGG+CRP+) and their spatial relationship to pancreatic islets
• Compare exocrine (AMYA2+PRSS1+) and endocrine (INS+GCG+) functional damage during cancer progression

Strengths

• Includes 18,075 spatial spots with gene expression profiles
• Data is structured into 22 biologically relevant clusters
• Released under a permissive CC-BY-4.0 license

Limitations

• Dataset is very small at 22.1 KB, indicating limited scope
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Spatial transcriptomics performed on pancreatic tissue samples.

Time Range

null

Freshness

Last updated 2026-04-24 12:31:52; freshness should be verified

Geography

null