Peptide Mapping Data for Therapeutic Proteins Using Tandem-Column UHPLC

Andrew B. Dykstra developed a high-throughput liquid chromatography–mass spectrometry (LC–MS) workflow for peptide mapping of therapeutic proteins. The dataset, last updated in June 2026, contains results from a method that increased injection-to-injection throughput by approximately 10-fold compared to a reference method. It includes data from testing 51 synthetic peptides to evaluate chemical modifications like isoaspartic acid and asparagine deamidation.

Use Cases

• Benchmarking new peptide mapping methods based on the reported 10-fold throughput increase.
• Analyzing retention time control based on the reported median standard deviation of 0.01 minutes.
• Evaluating separation specificity based on the increase in observed peaks from 38 to 42 in a modified peptide mixture.
• Designing high-flow UHPLC workflows based on the described 700 μL/min, >1000 bar parameters.

Strengths

• Method validation includes results from a panel of 51 synthetic peptides.
• Throughput increased by approximately 10-fold (123 min vs 12.5 min).
• Reported markedly tighter retention time control (median standard deviation 0.01 vs 0.34 min).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (85.9 KB), indicating limited scope.

Provenance

Source

Andrew B. Dykstra via figshare

Collection Method

Data generated from a developed high-flow UHPLC workflow for peptide mapping.

Freshness

Last updated 2026-06-01 11:03:57; freshness should be verified.