The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Effects of cell culture conditions on antibody N‐linked glycosylation—what affects high mannose 5 glycoform
Abstract
The glycosylation profile of therapeutic antibodies is routinely analyzed throughout development to monitor the impact of process parameters and to ensure consistency, efficacy, and safety for clinical and commercial batches of therapeutic products. In this study, unusually high levels of the mannose‐5 (Man5) glycoform were observed during the early development of a therapeutic antibody produced from a Chinese hamster ovary (CHO) cell line, model cell line A. Follow up studies indicated that the antibody Man5 level was increased throughout the course of cell culture production as a result of increasing cell culture medium osmolality levels and extending culture duration. With model cell line A, Man5 glycosylation increased more than twofold from 12% to 28% in the fed‐batch process through a combination of high basal and feed media osmolality and increased run duration. The osmolality and culture duration effects were also observed for four other CHO antibody producing cell lines by adding NaCl in both basal and feed media and extending the culture duration of the cell culture process. Moreover, reduction of Man5 level from model cell line A was achieved by supplementing MnCl 2 at appropriate concentrations. To further understand the role of glycosyltransferases in Man5 level, N‐acetylglucosaminyltransferase I GnT‐I mRNA levels at different osmolality conditions were measured. It has been hypothesized that specific enzyme activity in the glycosylation pathway could have been altered in this fed‐batch process. Biotechnol. Bioeng. 2011;108: 2348–2358. © 2011 Wiley Periodicals, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Shields, R. L., Lai, J., Keck, R., O'Connell, L. Y., Hong, K., Meng, Y. G., Weikert, S. H. A., & Presta, L. G. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m202069200 · Cited by 1,835
Borys, M. C., Linzer, D. I. H., & Papoutsakis, E. T. (1993) · Nature Biotechnology · doi:10.1038/nbt0693-720 · Cited by 171
Cited by
In vitro glycoengineering of IgG1 and its effect on Fc receptor binding and ADCC activity
Thomann, M., Schlothauer, T., Dashivets, T., Malik, S., Avenal, C., Bulau, P., Rüger, P., & Reusch, D. (2015) · PLOS ONE · doi:10.1371/journal.pone.0134949 · Cited by 220
Yu, M., Brown, D., Reed, C., Chung, S., Lutman, J., Stefanich, E., Wong, A., Stephan, J.-P., & Bayer, R. (2012) · mAbs · doi:10.4161/mabs.20737 · Cited by 203
Self-citationFisher, A. C., Kamga, M.-H., Agarabi, C., Brorson, K., Lee, S. L., & Yoon, S. (2019) · Trends in Biotechnology · doi:10.1016/j.tibtech.2018.08.008 · Cited by 180
Karst, D. J., Serra, E., Villiger, T. K., Soos, M., & Morbidelli, M. (2016) · Biochemical Engineering Journal · doi:10.1016/j.bej.2016.02.003 · Cited by 151
Feeding lactate for CHO cell culture processes: Impact on culture metabolism and performance
Li, J., Wong, C. L., Vijayasankaran, N., Hudson, T., & Amanullah, A. (2012) · Biotechnology and Bioengineering · doi:10.1002/bit.24389 · Cited by 137
Metadata
- Authors
- Pacis, E., Yu, M., Autsen, J., Bayer, R., & Li, F.
- Venue
- Biotechnology and Bioengineering
- Publisher
- Wiley
- Published
- 2011-05-24
- Volume
- 108
- Issue
- 10
- Pages
- 2348-2358
- ISSN
- 0006-3592 (ISSN-L)
- 1097-0290
- OpenAlex
- W2037656934
- Cited by
- 173
- References
- 2
- FWCI
- 3.29
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.