MSCP: Mass Spectrometry-Detected Cancer Proteins from 27 Proteomics Sources

15,964 MS-supported human proteins were harmonized from 27 large-scale cancer proteomics sources. The MSCP resource, created by Yuanyu Huang and updated in May 2026, integrates data from human tumor cohorts, cell lines, and patient-derived xenograft models. Benchmarking identified 525 proteins newly supported by mass spectrometry evidence in an integrated cancer context.

Use Cases

• Benchmarking cancer-context protein detection against reference proteomes based on the unified catalog of MS-supported proteins.
• Planning downstream assays by querying cohort- and model-specific protein coverage mentioned in the description.
• Functional interpretation of newly identified proteins using the GO and Reactome enrichment results described.
• Supporting translational studies with a provenance-aware, UniProtKB-aligned resource for cancer proteomics.

Strengths

• Integrated data from 27 distinct large-scale cancer proteomics sources.
• Harmonized catalog of 15,964 human proteins with FDR-controlled identification.
• Identified 525 proteins newly supported by MS evidence in the cancer context.
• Orthogonal verification performed using synthetic unique peptides.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect source bias inherent to the aggregated proteomics studies.

Provenance

Source

figshare, author Yuanyu Huang

Collection Method

Integrated database assembled and harmonized from 27 large-scale cancer proteomics sources.

Time Range

Temporal coverage of the source studies is not specified.

Freshness

Last updated 2026-05-01 14:34:48; freshness should be verified.

Geography

Spatial coverage is not specified; data includes human tumor cohorts, cell lines, and PDX models.