ArticleJournal of the American Society for Mass Spectrometry2009
Discrimination among IgG1-kappa monoclonal antibodies produced by two cell lines using charge state distributions in nanoESI-TOF mass spectra.
Article in Journal of the American Society for Mass Spectrometry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Mass spectrometry for the biophysical characterization of therapeutic monoclonal antibodies.FEBS letters · 2014Review
- Analytical tools for characterizing biopharmaceuticals and the implications for biosimilars.Nature reviews. Drug discovery · 2012Review
- Conformation and dynamics of biopharmaceuticals: transition of mass spectrometry-based tools from academe to industry.Journal of the American Society for Mass Spectrometry · 2010Article
- Advances and challenges in analytical characterization of biotechnology products: mass spectrometry-based approaches to study properties and behavior of protein therapeutics.Biotechnology advancesReview
- Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Charge state distributions (CSDs) of proteins in nanoESI mass spectra are affected by the instrumental settings and experimental conditions, in addition to the conformations of the proteins in the analyzed solutions. In the presented study, instrumental and experimental parameters--the desolvation gas flow rate, temperature, pH, buffer (ammonium acetate), and organic modifier (methanol) concentrations--were optimized according to a reduced central composite face experimental design to maximize the separation of CSDs of monoclonal IgG1-kappa antibodies produced by two production systems (CHO and GS-NS0 cell lines). Principal component analysis and Fisher linear discriminant analysis were then used to reduce the dimensions of the acquired dataset and quantify the separation of the protein classes, respectively. The results show that the IgG1-kappa molecules produced by the two production systems can be clearly distinguished using the described approach, which could be readily applied to other proteins and production systems.
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Registered trials
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