Differentially Expressed Genes in Tumor Clones from Spatial Transcriptomics

A dataset from figshare containing differentially expressed genes identified in a comparison between clone 2 and clone 3. The data, authored by Chenxuan Zang and last updated in March 2026, is provided as a 609 KB Excel file under a CC-BY-4.0 license. Its description suggests a focus on tumor heterogeneity and the tumor microenvironment.

Use Cases

• Identify biomarkers for tumor subpopulations based on differential gene expression.
• Analyze tumor heterogeneity and microenvironment interactions based on spatial transcriptomics data.
• Validate computational methods for tumor cell identification based on gene expression signatures.

Strengths

• Data is openly licensed under CC-BY-4.0.
• File size is 609 KB, indicating a manageable download and processing scope.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Chenxuan Zang.

Collection Method

Likely derived from spatial transcriptomics analysis of intact tissue samples.

Time Range

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Freshness

Last updated 2026-03-17 22:09:12.

Geography

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