Differentially Expressed Genes in Tumor Clones from Spatial Transcriptomics

Differentially expressed genes identified from a comparison of two tumor cell clones, clone 1 versus clone 3. The dataset was authored by Chenxuan Zang and is available as a 688.8 KB XLSX file under a CC-BY-4.0 license, last updated on March 17, 2026.

Use Cases

• Identify biomarkers for specific tumor cell clones based on differential gene expression.
• Analyze tumor microenvironment interactions using spatial transcriptomics data.
• Validate novel computational methods for tumor cell identification and segmentation.
• Compare gene expression profiles across different spatial domains within a tumor.

Strengths

• Data is provided in a structured, machine-readable XLSX format.
• Dataset is licensed for open reuse under a CC-BY-4.0 license.
• Update timestamp from March 2026 suggests recent curation.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count and column-level documentation are absent; field semantics must be inferred.
• The dataset is small in scale at 688.8 KB, indicating limited scope.

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 22:09:10; freshness should be verified.

Geography

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