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Discrimination among IgG1-Κ monoclonal antibodies produced by two cell lines using charge state distributions in nanoESI-TOF mass spectra
Department of Analytical Chemistry, Stockholm University.
2009 (English)In: Journal of the American Society for Mass Spectrometry, ISSN 1044-0305, E-ISSN 1879-1123, Vol. 20, no 6, 1030-1036 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2009. Vol. 20, no 6, 1030-1036 p.
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:kth:diva-87076DOI: 10.1016/j.jasms.2009.01.008ISI: 000266466600015OAI: oai:DiVA.org:kth-87076DiVA: diva2:501360
Note
QC 20120214Available from: 2012-02-14 Created: 2012-02-14 Last updated: 2017-12-07Bibliographically approved
In thesis
1. Methods for structural studies of an antibody, screening metabolites in rat urine and analysis of spent cell cultivation media using LC/ESI-MS and chemometrics
Open this publication in new window or tab >>Methods for structural studies of an antibody, screening metabolites in rat urine and analysis of spent cell cultivation media using LC/ESI-MS and chemometrics
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis describes bioanalytical methods for generating fingerprints of biological systems for extracting relevant information with (protein) drugs in focus. Similarities and differences between samples can reveal the hidden relevant information, which can be used to optimize the production and facilitate the quality control of such protein drugs during their development and manufacture. Metabolic fingerprinting and multivariate data analysis (MVDA) can also facilitate early diagnosis of diseases and the effects and toxicity of drugs.

Currently, several protein drugs are available on the global market. Nevertheless, despite, the success of such biotherapeutics significant challenges remain to be overcome in maintaining their stability and efficacity throughout their production cycle and long-term storage. The native structure and functional activity of therapeutic proteins is affected by many variables from production to delivery, incl. variables assoc. with conditions in bioreactors, purification, storage and delivery. Thus, part of the work underlying this thesis focused on structural analysis of a protein drug using chemical labeling, peptide mapping, and evaluation of the charge state distributions of the whole protein generated by ESI. The other part focuses on non-targeted metabolomics with a view to optimizing the cell cultivation process and assessment of the drug’s toxicity. A combination of appropriate analytical methods and MVDA is needed to find markers that can facilitate optimization of the cultivation system and expression of the target proteins in early stages of process development. Rapid methods for characterizing the protein drugs in different stages of the process are also required for quality control.

In order to obtain high quality fingerprints analytical separation techniques with high resolution (such as HPLC or UHPLC) and sensitive analytical detection techniques (such as ESI, quadrupole or TOF MS) have been used, singly or in combination.

Place, publisher, year, edition, pages
Stockholm University, 2009. 74 p.
Keyword
Screening, Fingerprinting, metabolomics, Protein drugs, Mammalian Cell lines, LC/ESI-MS, chemometrics
National Category
Analytical Chemistry
Identifiers
urn:nbn:se:kth:diva-87121 (URN)978-91-7155-897-8 (ISBN)
Note
QC 20120215Available from: 2012-02-15 Created: 2012-02-14 Last updated: 2012-02-15Bibliographically approved

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