ArticleAnalytical chemistry2022
Optimized Multi-Attribute Method Workflow Addressing Missed Cleavages and Chromatographic Tailing/Carry-Over of Hydrophobic Peptides.
Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
- Article
- Development and Integrated Application of the Multi-Attribute Method (MAM) in Quality Control of Biotechnological Drugs.Biotechnology and bioengineering · 2026Review
- Optimization of protein extraction and digestion workflows for proteomic analysis of saliva, salivary stones and kidney stones.Frontiers in molecular biosciences · 2026Article
- Development and clinical application of recombinant polyclonal antibodies.Frontiers in immunology · 2026Review
- A Validated UPLC-MS/MS Method for Monitoring Temozolomide and Perillyl Alcohol Metabolites in Biological Matrices: Insights From a Preclinical Pharmacokinetic Study.Biomedical chromatography : BMC · 2025Article
- Development and implementation of an LC-MS-based multi-attribute method for adeno-associated virus.Molecular therapy. Methods & clinical development · 2025Article
- Clean and Complete Protein Digestion with an Autolysis Resistant Trypsin for Peptide Mapping.Journal of proteome research · 2024Article
- Addressing Acid-Catalyzed Deamidation and the Solubility of Hydrophobic Peptides in Multi-Attribute Method Workflows.Analytical chemistry · 2023Article
- Interlaboratory Evaluation of a User-Friendly Benchtop Mass Spectrometer for Multiple-Attribute Monitoring Studies of a Monoclonal Antibody.Molecules (Basel, Switzerland) · 2023Article
- Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peptide mapping by liquid chromatography mass spectrometry (LC-MS) and the related multi-attribute method (MAM) are well-established analytical tools for verification of the primary structure and mapping/quantitation of co- and post-translational modifications (PTMs) or product quality attributes in biopharmaceutical development. Proteolytic digestion is a key step in peptide mapping workflows, which traditionally is labor-intensive, involving multiple manual steps. Recently, simple high-temperature workflows with automatic digestion were introduced, which facilitate robustness and reproducibility across laboratories. Here, a modified workflow with an automatic digestion step is presented, which includes a two-step digestion at high and low temperatures, as opposed to the original one-step digestion at a high temperature. The new automatic digestion workflow significantly reduces the number of missed cleavages, obtaining a more complete digestion profile. In addition, we describe how chromatographic peak tailing and carry-over is dramatically reduced for hydrophobic peptides by switching from the traditional C18 reversed-phase (RP) column chemistry used for peptide mapping to a less retentive C4 column chemistry. No negative impact is observed on MS/MS-derived sequence coverage when switching to a C4 column chemistry. Overall, the new peptide mapping workflow significantly reduces the number of missed cleavages, yielding more robust and simple data interpretation, while providing dramatically reduced tailing and carry-over of hydrophobic peptides.
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Registered trials
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