SWIFT: Proteomic Data from Mouse Organs for FF and FFPE Tissue Analysis

Proteomic data generated using the Simple Workflow for Integrated and Fast Tissue-preparation (SWIFT) method for fresh-frozen and formalin-fixed, paraffin-embedded mouse tissues. The dataset includes results from the timsTOF Pro mass spectrometer, identifying up to approximately 10,000 protein groups and 150,000 peptides. It was authored by Chuping Wei and last updated on 2026-04-28.

Use Cases

• Benchmarking proteomic workflow efficiency based on the described one- or two-step preparation methods.
• Analyzing organ-enriched protein expression based on the identification of functionally distinct proteins per tissue.
• Comparing protein detection shifts between FF and FFPE preservation methods based on the described reduction in membrane-associated and respiratory proteins.
• Assessing proteomic data repeatability based on the reported pairwise Pearson's r > 0.96 across six experimental replicates.

Strengths

• High reported repeatability with pairwise Pearson's correlation > 0.96 across six experimental replicates.
• Deep proteome coverage identifying up to approximately 10,000 protein groups and 150,000 peptides.
• Workflow designed for microgram-level tissue inputs, enabling analysis from small samples.
• Dynamic range spanning 6–7 orders of magnitude, suggesting sensitivity across protein abundance levels.

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 modeling.
• Data is limited to mouse organ samples; applicability to human tissues requires verification.

Provenance

Source

figshare, authored by Chuping Wei.

Collection Method

Data generated via the SWIFT proteomic preparation workflow and timsTOF Pro mass spectrometry.

Freshness

Last updated 2026-04-28 06:06:35; freshness should be verified.