Mouse Liver Proteomics Data Comparing 2-ME/DMSO and IAA Workflows

Proteomics data compares the quantitative performance of a 2-mercaptoethanol/DMSO workflow against conventional iodoacetamide treatment for cysteine alkylation. Mouse liver proteomes were processed and analyzed via LC-MS/MS, resulting in improved peptide and protein quantification reproducibility. The dataset was authored by Arisa Suto and published on figshare in May 2026.

Use Cases

• Benchmarking quantitative proteomics workflows based on the comparison of 2-ME/DMSO and IAA treatments.
• Evaluating reproducibility in peptide quantification based on the reported coefficient of variation (CV) metrics.
• Analyzing protein sequence coverage improvements based on the reported 77% increase.
• Studying cisplatin-induced alterations in ovarian clear cell carcinoma based on the application described.

Strengths

• Includes specific performance metrics: peptide quantified CV ≤ 20% increased from 61.4% to 86.1%.
• Includes specific performance metrics: protein quantified CV ≤ 20% increased from 80.6% to 93.5%.
• Reports a 1.6- to 1.9-fold increase in cysteine-modified peptides.
• Reports improved sequence coverage for 77% of proteins.

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 bias inherent to the specific experimental setup described.

Provenance

Source

figshare

Collection Method

Mouse liver proteomes processed with different alkylation workflows followed by LC-MS/MS analysis.

Freshness

Last updated 2026-05-08 06:47:06; freshness should be verified.