ArticleAnalytical chemistry2018
Sensitive, High-Throughput, and Robust Trapping-Micro-LC-MS Strategy for the Quantification of Biomarkers and Antibody Biotherapeutics.
Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- A Novel Assay Platform for Targeted Protein Degradation Monitoring: Case Study of Antibody Free Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) for MALT1 Target Quantification.The AAPS journal · 2026Article
- A multiplex assay of leptin, resistin, and adiponectin by immunoaffinity enrichment and targeted mass spectrometry.Journal of mass spectrometry and advances in the clinical lab · 2025Article
- A Trapping-Micro-LC-FAIMS/dCV-MS Strategy for Ultrasensitive and Robust Targeted Quantification of Protein Drugs and Biomarkers.Analytical chemistry · 2024Article
- Multicolumn Nanoflow Liquid Chromatography with Accelerated Offline Gradient Generation for Robust and Sensitive Single-Cell Proteome Profiling.Analytical chemistry · 2024Article
- An ultra-sensitive and high-throughput trapping-micro-LC-MS method for quantification of circulating vitamin D metabolites and application in multiple sclerosis patients.Scientific reports · 2024Article
- Development of an ID-LC-MS/MS method using targeted proteomics for quantifying cardiac troponin I in human serum.Clinical proteomics · 2023Article
- Enhanced Pharmacokinetic Bioanalysis of Antibody-drug Conjugates using Hybrid Immunoaffinity Capture and Microflow LC-MS/MS.The AAPS journal · 2023Article
- Highly Accurate and Robust Absolute Quantification of Target Proteins in Formalin-Fixed Paraffin-Embedded (FFPE) Tissues by LC-MS.Analytical chemistry · 2023Article
- Parallel, High-Quality Proteomic and Targeted Metabolomic Quantification Using Laser Capture Microdissected Tissues.Analytical chemistry · 2021Article
- Ultra-High-Resolution IonStar Strategy Enhancing Accuracy and Precision of MS1-Based Proteomics and an Extensive Comparison with State-of-the-Art SWATH-MS in Large-Cohort Quantification.Analytical chemistry · 2021Article
- Robust Microflow LC-MS/MS for Proteome Analysis: 38 000 Runs and Counting.Analytical chemistry · 2021Article
- Emerging mass spectrometry-based proteomics methodologies for novel biomedical applications.Biochemical Society transactions · 2020Review
- Current LC-MS-based strategies for characterization and quantification of antibody-drug conjugates.Journal of pharmaceutical analysis · 2020Review
- MS1 ion current-based quantitative proteomics: A promising solution for reliable analysis of large biological cohorts.Mass spectrometry reviews · 2019Review
- Rapidly Assessing the Quality of Targeted Proteomics Experiments through Monitoring Stable-Isotope Labeled Standards.Journal of proteome research · 2019Article
- Review
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
For LC-MS-based targeted quantification of biotherapeutics and biomarkers in clinical and pharmaceutical environments, high sensitivity, high throughput, and excellent robustness are all essential but remain challenging. For example, though nano-LC-MS has been employed to enhance analytical sensitivity, it falls short because of its low loading capacity, poor throughput, and low operational robustness. Furthermore, high chemical noise in protein bioanalysis typically limits the sensitivity. Here we describe a novel trapping-micro-LC-MS (T-μLC-MS) strategy for targeted protein bioanalysis, which achieves high sensitivity with exceptional robustness and high throughput. A rapid, high-capacity trapping of biological samples is followed by μLC-MS analysis; dynamic sample trapping and cleanup are performed using pH, column chemistry, and fluid mechanics separate from the μLC-MS analysis, enabling orthogonality, which contributes to the reduction of chemical noise and thus results in improved sensitivity. Typically, the selective-trapping and -delivery approach strategically removes >85% of the matrix peptides and detrimental components, markedly enhancing sensitivity, throughput, and operational robustness, and narrow-window-isolation selected-reaction monitoring further improves the signal-to-noise ratio. In addition, unique LC-hardware setups and flow approaches eliminate gradient shock and achieve effective peak compression, enabling highly sensitive analyses of plasma or tissue samples without band broadening. In this study, the quantification of 10 biotherapeutics and biomarkers in plasma and tissues was employed for method development. As observed, a significant sensitivity gain (up to 25-fold) compared with that of conventional LC-MS was achieved, although the average run time was only 8 min/sample. No appreciable peak deterioration or loss of sensitivity was observed after >1500 injections of tissue and plasma samples. The developed method enabled, for the first time, ultrasensitive LC-MS quantification of low levels of a monoclonal antibody and antigen in a tumor and cardiac troponin I in plasma after brief cardiac ischemia. This strategy is valuable when highly sensitive protein quantification in large sample sets is required, as is often the case in typical biomarker validation and pharmaceutical investigations of antibody therapeutics.
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Registered trials
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