ReviewJournal of pharmaceutical sciences2022
Best Practices for Aggregate Quantitation of Antibody Therapeutics by Sedimentation Velocity Analytical Ultracentrifugation.
Review in Journal of pharmaceutical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Sedimentation velocity analytical ultracentrifugation (SV-AUC) for adeno-associated virus characterization: impact of cell alignment.European biophysics journal : EBJ · 2026Article
- Quality by Design to Mitigate Aggregation: Mechanistic Insights and Analytical Strategies for Biopharmaceutical Manufacturing.Therapeutic innovation & regulatory science · 2026Review
- Analytical Ultracentrifugation for Biopharmaceutical Characterization and Quality Control.International journal of molecular sciences · 2026Review
- Separation of Monoclonal Antibody Aggregates Using an Analytical Ultrafiltration Technique.Membranes · 2026Article
- Review
- The secreted staphylococcal biofilm protein Sbp forms biomolecular condensates in the presence of DNA.Protein science : a publication of the Protein Society · 2026Article
- Biopharmaceutical analysis - current analytical challenges, limitations, and perspectives.Analytical and bioanalytical chemistry · 2026Review
- A method to determine confidence limits for the area, sedimentation coefficient, and molar mass of individual peaks from a SEDFIT c(s) distribution.European biophysics journal : EBJ · 2025Article
- Flotation Coefficient Distributions of Lipid Nanoparticles by Sedimentation Velocity Analytical Ultracentrifugation.ACS nano · 2024Article
- BASIS: BioAnalysis SEDFIT integrated software for cGMP analysis of SV-AUC data.European biophysics journal : EBJ · 2024Article
- Discovery and Characterization of an Acid-Labile Serine-Lysine Cross-Link in Antibody High-Molecular-Weight Species Using a Multipronged Mass Spectrometry Approach.Analytical chemistry · 2023Article
- An automated interface for sedimentation velocity analysis in SEDFIT.PLoS computational biology · 2023Article
- Hydrodynamic characterization of a vesicular stomatitis virus-based oncolytic virus using analytical ultracentrifugation.European biophysics journal : EBJ · 2023Article
- An automated interface for sedimentation velocity analysis in SEDFIT.bioRxiv : the preprint server for biology · 2023Article
- Extrinsic stabilization of antiviral ACE2-Fc fusion proteins targeting SARS-CoV-2.Communications biology · 2023Article
- Nanoplasmonic Avidity-Based Detection and Quantification of IgG Aggregates.Analytical chemistry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Analytical ultracentrifugation (AUC) is a critical analytical tool supporting the development and manufacture of protein therapeutics. AUC is routinely used as an assay orthogonal to size exclusion chromatography for aggregate quantitation. This article distills the experimental and analysis procedures used by the authors for sedimentation velocity AUC into a series of best-practices considerations. The goal of this distillation is to help harmonize aggregate quantitation approaches across the biopharmaceutical industry. We review key considerations for sample and instrument suitability, experimental design, and data analysis best practices and conversely, highlight potential pitfalls to accurate aggregate analysis. Our goal is to provide experienced users benchmarks against which they can standardize their analyses and to provide guidance for new AUC analysts that will aid them to become proficient in this fundamental technique.
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.