MSCP: Integrated Cancer Proteomics Database from 27 Sources

15,964 mass spectrometry-supported human proteins integrated from 27 large-scale cancer proteomics sources. The MSCP resource, created by Yuanyu Huang and updated in May 2026, harmonizes protein identifications to UniProtKB and benchmarks against reference proteomes. It identifies 525 proteins newly supported by MS evidence in a cancer context.

Use Cases

• Benchmarking cancer-context protein detection against reference proteomes based on the unified catalog.
• Planning downstream proteomics assays based on cohort- and model-specific querying capabilities.
• Conducting functional interpretation of newly identified proteins using GO and Reactome enrichment pathways mentioned.
• Verifying protein identifications using orthogonal methods like synthetic unique peptide verification described.

Strengths

• Integrated data from 27 distinct large-scale cancer proteomics sources, including tumor cohorts, cell lines, and PDX models.
• Harmonized catalog of 15,964 human proteins with provenance-aware, UniProtKB-aligned identifiers.
• Identified 525 proteins newly supported by MS evidence in an integrated cancer context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale statistical tasks.
• The dataset is very small (10.5 KB), suggesting it contains metadata or a summary rather than the full underlying proteomic data.

Provenance

Source

figshare, author Yuanyu Huang.

Collection Method

Assembled and harmonized from 27 large-scale cancer proteomics sources using FDR-controlled identification outputs.

Time Range

Temporal coverage of the source studies is not specified.

Freshness

Last updated 2026-05-01 14:34:51; freshness should be verified.

Geography

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