Rawdata for ST in PDAC: Spatial Transcriptome of Pancreatic Cancer Tissues

Raw spatial transcriptome data from pancreatic ductal adenocarcinoma (PDAC) tissues supports the research article with DOI 10.3389/fonc.2023.1112576. The dataset, approximately 255 MB in size, provides spatially resolved gene expression information from cancer tissue sections. Its cross-platform presence on figshare indicates established use in the research community.

Use Cases

• Mapping gene expression heterogeneity within pancreatic tumor tissues based on spatial transcriptome data.
• Validating findings from the associated Frontiers in Oncology article (DOI: 10.3389/fonc.2023.1112576).
• Developing computational methods for analyzing spatially resolved transcriptomics in solid tumors.
• Correlating spatial gene expression patterns with histological features in PDAC samples.

Strengths

• Data is directly linked to a peer-reviewed publication (DOI: 10.3389/fonc.2023.1112576), providing research context.
• Available under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.
• Cross-platform presence suggests validation and utility within the research domain.

Limitations

• Column names and row counts are not provided, limiting immediate understanding of data structure.
• The dataset description is sparse, lacking details on sample count, spatial technology used, or annotation level.
• The 'last updated' date of 2026-03-22 is a future date, indicating a potential metadata error.

Provenance

Source

xin zhao

Collection Method

Likely generated via a spatial transcriptomics platform (e.g., 10x Genomics Visium, Slide-seq) applied to pancreatic cancer tissue sections.

Time Range

null

Freshness

2026-03-22 08:00:49

Geography

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