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LC-MS/MS biopharmaceutical glycoanalysis: identification of desirable reference material characteristics

Overview of attention for article published in Analytical & Bioanalytical Chemistry, February 2012
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Title
LC-MS/MS biopharmaceutical glycoanalysis: identification of desirable reference material characteristics
Published in
Analytical & Bioanalytical Chemistry, February 2012
DOI 10.1007/s00216-012-5749-5
Pubmed ID
Authors

John E. Schiel, Jennifer Au, Hua-Jun He, Karen W. Phinney

Abstract

Glycosylation, the enzymatic addition of carbohydrates to a protein, is one of the most abundant post-translational modifications found in nature. There is variability in the number, location, and identity of glycans attached. As a result, a glycoprotein consists of a number of glycoforms with different combinations of glycans, potentially resulting in different stability, toxicity, and activity. This is especially important in the biopharmaceutical industry where product consistency and safety are vital. Glycoprotein analysis involves numerous mass spectrometry based techniques, each of which provides various aspects of characterization. The current paper describes two commonly used analytical techniques for glycoprotein characterization. In one experiment, nonspecific proteolysis is combined with a two-tiered mass spectrometry approach (MALDI-TOF and LC-MS/MS) to gain glycosylation site and glycan identity. In a second approach, glycans were enzymatically released, labeled with a fluorescent dye, and analyzed using LC-Fluorescence-MS/MS to give glycan identification and relative quantification. The type and degree of information yielded by each method is assessed in an effort to identify desired reference material characteristics for improving biopharmaceutical glycoanalysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 7%
United States 2 7%
China 1 4%
Unknown 23 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 36%
Student > Ph. D. Student 7 25%
Student > Bachelor 2 7%
Student > Master 2 7%
Student > Doctoral Student 1 4%
Other 4 14%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 43%
Chemistry 6 21%
Biochemistry, Genetics and Molecular Biology 3 11%
Medicine and Dentistry 3 11%
Chemical Engineering 1 4%
Other 1 4%
Unknown 2 7%