Transcriptomic Analysis of 19 Feline Alimentary Lymphoma Cases Across Five Subtypes

RNA sequencing data from 19 cases of feline alimentary lymphoma, split into five phenotypes based on histomorphology and immunohistochemistry. The dataset was created by Daniel McGilp and last updated in May 2026. It was used to identify differentially expressed genes correlated with the aggressiveness of lymphoma subtypes.

Use Cases

• Identify biomarkers for lymphoma aggressiveness based on the expression of genes like ADAMTS14, FOXI3, and CENPF.
• Compare gene expression profiles across five lymphoma phenotypes, including small T cell and B cell subtypes.
• Investigate the role of tumour suppressor genes like RAB17 and SYNPO2 in indolent lymphoma behavior.
• Develop prognostic models for feline alimentary lymphoma using 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, IGF2BP3) and tumour suppressors (e.g., RAB17) linked to biological behavior.
• Dataset is shared under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• The dataset is small in scale at 359.8 KB, with an unknown row count, limiting statistical power.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific sample collection and diagnostic methods used.

Provenance

Source

Daniel McGilp via figshare.

Collection Method

RNA sequencing applied to tissue samples from 19 cases, with phenotypes determined by histomorphology and immunohistochemistry.

Freshness

Last updated 2026-05-29 04:46:57; freshness should be verified.