ArticleMolecular & cellular proteomics : MCP2012
Analysis of intact monoclonal antibody IgG1 by electron transfer dissociation Orbitrap FTMS.
Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
58 citing papers in PubMed.
- A Prototype timsOmni Platform Enables Confident Annotation of the Key Hypervariable CDR3 Regions of IgG Immunoglobulins Using Low- and High-Energy Electron-Based Fragmentation.Analytical chemistry · 2026Article
- Top-Down Proteomics for the Characterization and Quantification of Calreticulin Arginylation.Analytical chemistry · 2025Article
- Top-Down and Middle-Down Mass Spectrometry of Antibodies.Molecular & cellular proteomics : MCP · 2025Review
- Charge variant analysis of monoclonal antibodies by CZE-MS using a successive multiple ionic-polymer layer coating based on diethylaminoethyl-dextran.Electrophoresis · 2025Article
- Characterization of a Monoclonal Antibody by Native and Denaturing Top-Down Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2024Article
- Top-down proteomics.Nature reviews. Methods primers · 2024Article
- Mass spectrometry characterization of antibodies at the intact and subunit levels: from targeted to large-scale analysis.International journal of mass spectrometry · 2023Article
- Added Value of Internal Fragments for Top-Down Mass Spectrometry of Intact Monoclonal Antibodies and Antibody-Drug Conjugates.Analytical chemistry · 2023Article
- Improving the Sensitivity of Fourier Transform Mass Spectrometer (Orbitrap) for Online Measurements of Atmospheric Vapors.Analytical chemistry · 2022Article
- Interlaboratory Study for Characterizing Monoclonal Antibodies by Top-Down and Middle-Down Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2020Article
- Top-Down Characterization of an Intact Monoclonal Antibody Using Activated Ion Electron Transfer Dissociation.Analytical chemistry · 2020Article
- Thorough Performance Evaluation of 213 nm Ultraviolet Photodissociation for Top-down Proteomics.Molecular & cellular proteomics : MCP · 2020Article
- Novel Interface for High-Throughput Analysis of Biotherapeutics by Electrospray Mass Spectrometry.Analytical chemistry · 2020Article
- Direct Determination of Antibody Chain Pairing by Top-down and Middle-down Mass Spectrometry Using Electron Capture Dissociation and Ultraviolet Photodissociation.Analytical chemistry · 2020Article
- A Case Study to Identify the Drug Conjugation Site of a Site-Specific Antibody-Drug-Conjugate Using Middle-Down Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2019Article
- Article
- Middle-Down Multi-Attribute Analysis of Antibody-Drug Conjugates with Electron Transfer Dissociation.Analytical chemistry · 2019Article
- Free Radical-Initiated Peptide Sequencing Mass Spectrometry for Phosphopeptide Post-translational Modification Analysis.Journal of the American Society for Mass Spectrometry · 2019Article
- Recent technical advances in proteomics.F1000Research · 2019Review
- A comprehensive pipeline for translational top-down proteomics from a single blood draw.Nature protocols · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The primary structural information of proteins employed as biotherapeutics is essential if one wishes to understand their structure-function relationship, as well as in the rational design of new therapeutics and for quality control. Given both the large size (around 150 kDa) and the structural complexity of intact immunoglobulin G (IgG), which includes a variable number of disulfide bridges, its extensive fragmentation and subsequent sequence determination by means of tandem mass spectrometry (MS) are challenging. Here, we applied electron transfer dissociation (ETD), implemented on a hybrid Orbitrap Fourier transform mass spectrometer (FTMS), to analyze a commercial recombinant IgG in a liquid chromatography (LC)-tandem mass spectrometry (MS/MS) top-down experiment. The lack of sensitivity typically observed during the top-down MS of large proteins was addressed by averaging time-domain transients recorded in different LC-MS/MS experiments before performing Fourier transform signal processing. The results demonstrate that an improved signal-to-noise ratio, along with the higher resolution and mass accuracy provided by Orbitrap FTMS (relative to previous applications of top-down ETD-based proteomics on IgG), is essential for comprehensive analysis. Specifically, ETD on Orbitrap FTMS produced about 33% sequence coverage of an intact IgG, signifying an almost 2-fold increase in IgG sequence coverage relative to prior ETD-based analysis of intact monoclonal antibodies of a similar subclass. These results suggest the potential application of the developed methodology to other classes of large proteins and biomolecules.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.