1996
DOI: 10.1093/glycob/6.2.217
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The hypothetical N-glycan charge: a number that characterizes protein glycosylation

Abstract: The production of recombinant glycoprotein therapeutics requires characterization of glycosylation with respect to the lot-to-lot consistency. Here we introduce the ¿hypothetical N-glycan charge Z' as a parameter that allows to characterize the protein glycosylation in a simple, however, efficient manner. The hypothetical N-glycan charge of a given glycoprotein is deduced from the N-glycan mapping profile obtained via HPAE-PAD. In HPAEC, N-glycans are clearly separated according to their charge, i.e., their nu… Show more

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Cited by 40 publications
(33 citation statements)
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“…Attempts have been made to develop summary statistics that reduce the dimensionality of these complex data sets. For example, the Z number (Hermentin et al 1996) has been proposed as a parameter that describes protein glycosylation in terms of numbers of charged glycans. Such parameters have been suggested as being suitable for product consistency monitoring, although some workers have reported poor correlation with bioactivity (Yuen et al 2011).…”
Section: How Much Stability Is Required? Lessons From Industrymentioning
confidence: 99%
“…Attempts have been made to develop summary statistics that reduce the dimensionality of these complex data sets. For example, the Z number (Hermentin et al 1996) has been proposed as a parameter that describes protein glycosylation in terms of numbers of charged glycans. Such parameters have been suggested as being suitable for product consistency monitoring, although some workers have reported poor correlation with bioactivity (Yuen et al 2011).…”
Section: How Much Stability Is Required? Lessons From Industrymentioning
confidence: 99%
“…For that exercise the levels of the glycosylation CQAs were measured for product made using different manufacturing conditions and the statistical tools (e.g., 17.3 Scheme 2: Comparability of Drug Glycosylation Using QbD DS 553 principal component analysis) were used to determine the relationships between the CPPs and the CQAs.…”
Section: Q B D Approach To Glycosylation In the A -Ma B Case Studymentioning
confidence: 99%
“…• Comparability of glycosylation between drug batches is primarily determined using single -number glycometrics (such as the Z -number score for measuring the degree of sialylation) [17] .…”
Section: Case For a Population Model For Comparability Of Glycoproteimentioning
confidence: 99%
“…In recent years, there have been efforts to replace the highly contested (consumption of animals) and highly inaccurate (CV ≈ 25% [1,2], ≈ 20% [3]; uncertainty 15-30% [4]; as stated by Zimmermann et al [3]) polycythaemic and normocythaemic mouse bioassays in the quality control of erythropoietin [5] by more precise and more accurate physicochemical methods such as Z-number determination based on ion-exchange chromatography of the isolated N-glycans (glycan mapping) [2,6,7] or I-number determination [8] based on the native protein and the peak areas of the various isoforms separated in CZE [9,10]. This approach has recently been supported by a study from Roche [3] that aimed at replacing the normocythaemic mouse bioassay for epoetin beta batch release on the basis of primarily CZE data.…”
Section: Introductionmentioning
confidence: 99%