Canine Mammary Tumor Extracellular Matrix Proteomics Data

Proteomic analysis of canine mammary tissues identified 12 differentially expressed extracellular matrix proteins. The dataset includes eight upregulated proteins (COL12A1, COL4A1, COL4A2, SERPINH1, SERPINF1, HTRA1, TNC, PCOLCE) and four downregulated proteins (MMRN1, ABI3BP, DPT, OGN). Findings were validated against human breast cancer transcriptomic data, highlighting conserved molecular signatures.

Use Cases

• Analyze the expression levels of 12 ECM proteins like COL12A1 and MMRN1 across normal, non-metastatic, and metastatic tissue states.
• Validate the downregulated proteins (MMRN1, ABI3BP, DPT, OGN) against human breast cancer transcriptomic datasets for cross-species biomarker discovery.
• Investigate correlations between upregulated proteins associated with matrix stiffness (e.g., TNC, COL4A1) and tumor progression stages.

Strengths

• Identifies a specific set of 12 differentially expressed extracellular matrix proteins.
• Integrates proteomic data from canine models with human transcriptomic data for validation.
• Data is shared under a permissive CC BY 4.0 license.

Limitations

• The dataset is small, with a file size of only 42.5 KB, indicating limited scope.
• Row and column counts are unknown, making it difficult to assess the dataset's scale for analysis.
• Data is derived from a specific canine model, which may limit direct applicability to human studies without further validation.

Provenance

Source

Bruno Sousa de Almeida via figshare.

Collection Method

Label-free quantitative proteomics and histological analysis of canine mammary tissues, with in silico validation using human transcriptomic datasets.

Freshness

Last updated March 2026.