Feline Alimentary Lymphoma Transcriptomic Data for 19 Cases Across Five Subtypes

RNA sequencing data from 19 cases of feline alimentary lymphoma, split into five phenotypes (small T cell, B cell, CD56+ B cell, Large Granular T cell and Large Granular NK cell lymphomas). The dataset, authored by Daniel McGilp and last updated in 2026, contains results from a differential gene analysis identifying genes overexpressed in aggressive versus indolent lymphoma subtypes.

Use Cases

• Identifying biomarkers for lymphoma prognosis based on differentially expressed genes like ADAMTS14 and RAB17.
• Comparing gene expression profiles across five distinct lymphoma phenotypes (e.g., small T cell vs. B cell).
• Investigating pathways involved in extracellular matrix remodelling and cellular division in aggressive cancers.
• Developing targeted immunotherapeutic strategies for specific feline lymphoma subtypes based on transcriptomic signatures.

Strengths

• Data is derived from 19 clinically characterized cases, providing a basis for subtype comparison.
• Analysis identified specific overexpressed genes (e.g., ADAMTS14, FOXI3, RAB17) correlated with biological behavior.
• Dataset is openly shared under a CC-BY-4.0 license, facilitating reuse.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is small (2.2 MB), which may constrain statistical power for some analyses.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare

Collection Method

RNA sequencing and differential gene analysis applied to 19 cases of feline alimentary lymphoma.

Freshness

Last updated 2026-05-29 04:46:55; freshness should be verified.