SWIFT Proteomic Data from Mouse FF and FFPE Tissues

SWIFT (Simple Workflow for Integrated and Fast Tissue-preparation) proteomic data was generated by Chuping Wei and published on figshare in 2026. The dataset contains protein and peptide identifications from fresh-frozen and formalin-fixed, paraffin-embedded mouse organ tissues, processed using efficient one- or two-step methods. It includes up to approximately 10,000 protein groups and 150,000 peptides identified across multiple organs using a timsTOF Pro mass spectrometer.

Use Cases

• Benchmarking proteomic workflow efficiency based on the described SWIFT method for FF and FFPE tissues.
• Analyzing organ-enriched protein expression based on the identification of functionally distinct proteins unique to each tissue.
• Studying preservation-induced protein shifts based on the comparison of paired FF and FFPE tissue analyses.
• Assessing proteomic data repeatability based on the reported pairwise Pearson's r > 0.96 across six experimental replicates.

Strengths

• Dataset demonstrates high repeatability with a pairwise Pearson's r > 0.96 across six experimental replicates.
• Deep proteome coverage with up to approximately 10,000 protein groups and 150,000 peptides identified.
• Dynamic range spans 6–7 orders of magnitude, as stated in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is limited to mouse organ tissues; applicability to human samples is not demonstrated.

Provenance

Source

figshare

Collection Method

Proteomic analysis of mouse organ tissues using the SWIFT preparation workflow and timsTOF Pro mass spectrometry.

Freshness

Last updated 2026-04-28 06:06:44; freshness should be verified.