ArticlemAbs
Detection and quantification of free sulfhydryls in monoclonal antibodies using maleimide labeling and mass spectrometry.
Article in mAbs. 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, 37 citations in OpenAlex.
- Mimicking immune complexes for efficient antibody responses.Frontiers in immunology · 2025Article
- Asymmetrically PEGylated and amphipathic heptamethine indocyanine dyes potentiate radiotherapy of renal cell carcinoma via mitochondrial targeting.Journal of nanobiotechnology · 2024Article
- Development of a Novel Label-Free Subunit HILIC-MS Method for Domain-Specific Free Thiol Identification and Quantitation in Therapeutic Monoclonal Antibodies.Journal of the American Society for Mass Spectrometry · 2024Article
- Article
- Heterogeneity in Disulfide Bond Reduction in IgG1 Antibodies Is Governed by Solvent Accessibility of the Cysteines.Antibodies (Basel, Switzerland) · 2023Article
- The solution structure of the heavy chain-only C5-Fc nanobody reveals exposed variable regions that are optimal for COVID-19 antigen interactions.The Journal of biological chemistry · 2023Article
- Protein cysteine S-glycosylation: oxidative hydrolysis of protein S-glycosidic bonds in aqueous alkaline environments.Amino acids · 2023Article
- Antibody-conjugated nanoparticles for target-specific drug delivery of chemotherapeutics.Beilstein journal of nanotechnology · 2023Review
- Recent Advances and Future Directions in Downstream Processing of Therapeutic Antibodies.International journal of molecular sciences · 2022Review
- A Review of Methodologies for the Detection, Quantitation, and Localization of Free Cysteine in Recombinant Proteins: A Focus on Therapeutic Monoclonal Antibodies.Frontiers in molecular biosciences · 2022Review
- Photo-Oxidation of Therapeutic Protein Formulations: From Radical Formation to Analytical Techniques.Pharmaceutics · 2021Review
- Applications of Nanoparticle-Antibody Conjugates in Immunoassays and Tumor Imaging.The AAPS journal · 2021Review
- Article
- Article
- Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The detection of free sulfhydryls in proteins can reveal incomplete disulfide bond formation, indicate cysteine residues available for conjugation, and offer insights into protein stability and structure. Traditional spectroscopic methods of free sulfhydryl detection, such as Ellman's reagent, generally require a relatively large amount of sample, preventing their use for the analysis of biotherapeutics early in the development cycle. These spectroscopic methods also cannot accurately determine the location of the free sulfhydryl, further limiting their utility. Mass spectrometry was used to detect free sulfhydryl residues in intact proteins after labeling with Maleimide-PEG
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.