SWIFT: Proteomic Data from Microgram-Level Fresh-Frozen and FFPE Mouse Tissues

Proteomic data generated using the Simple Workflow for Integrated and Fast Tissue-preparation (SWIFT) method. The dataset, created by Chuping Wei and last updated in April 2026, contains results from analyzing multiple mouse organs, identifying up to approximately 10,000 protein groups and 150,000 peptides. The workflow enables efficient processing of fresh-frozen and formalin-fixed, paraffin-embedded tissues with high repeatability.

Use Cases

• Benchmarking proteomic workflow efficiency based on the described one- or two-step preparation methods.
• Analyzing organ-enriched protein signatures based on the identification of functionally distinct proteins unique to each tissue.
• Comparing protein detection shifts between fresh-frozen and FFPE tissues based on the described preservation-induced changes.
• Assessing proteomic data repeatability based on the reported pairwise Pearson’s r > 0.96 across six experimental replicates.

Strengths

• Dataset reports identification of up to ~10,000 protein groups and ~150,000 peptides.
• Experimental repeatability is high with pairwise Pearson’s r > 0.96 across six replicates.
• Dynamic range spans 6–7 orders of magnitude.
• Workflow is designed for microgram-level tissue input, enabling analysis of small samples.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is derived from mouse organs; direct applicability to human clinical samples may require validation.

Provenance

Source

figshare

Collection Method

Data generated via mass spectrometry (timsTOF Pro) using the described SWIFT tissue preparation workflow.

Freshness

Last updated 2026-04-28 06:06:36; freshness should be verified.