Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses

N-linked glycosylation affects the potency, safety, immunogenicity, and pharmacokinetic clearance of several therapeutic proteins including monoclonal antibodies. A robust control strategy is needed to dial in appropriate glycosylation profile during the course of cell culture processes accurately....

Full description

Bibliographic Details
Main Authors: Sumit, Madhuresh, Dolatshahi, Sepideh, Chu, An-Hsiang Adam, Cote, Kaffa, Scarcelli, John J., Marshall, Jeffrey K., Cornell, Richard J., Weiss, Ron, Lauffenburger, Douglas A., Mulukutla, Bhanu Chandra, Figueroa, Bruno
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:English
Published: Elsevier BV 2020
Online Access:https://hdl.handle.net/1721.1/125974
_version_ 1826205680123510784
author Sumit, Madhuresh
Dolatshahi, Sepideh
Chu, An-Hsiang Adam
Cote, Kaffa
Scarcelli, John J.
Marshall, Jeffrey K.
Cornell, Richard J.
Weiss, Ron
Lauffenburger, Douglas A.
Mulukutla, Bhanu Chandra
Figueroa, Bruno
author2 Massachusetts Institute of Technology. Department of Biological Engineering
author_facet Massachusetts Institute of Technology. Department of Biological Engineering
Sumit, Madhuresh
Dolatshahi, Sepideh
Chu, An-Hsiang Adam
Cote, Kaffa
Scarcelli, John J.
Marshall, Jeffrey K.
Cornell, Richard J.
Weiss, Ron
Lauffenburger, Douglas A.
Mulukutla, Bhanu Chandra
Figueroa, Bruno
author_sort Sumit, Madhuresh
collection MIT
description N-linked glycosylation affects the potency, safety, immunogenicity, and pharmacokinetic clearance of several therapeutic proteins including monoclonal antibodies. A robust control strategy is needed to dial in appropriate glycosylation profile during the course of cell culture processes accurately. However, N-glycosylation dynamics remains insufficiently understood owing to the lack of integrative analyses of factors that influence the dynamics, including sugar nucleotide donors, glycosyltransferases, and glycosidases. Here, an integrative approach involving multi-dimensional omics analyses was employed to dissect the temporal dynamics of glycoforms produced during fed-batch cultures of CHO cells. Several pathways including glycolysis, tricarboxylic citric acid cycle, and nucleotide biosynthesis exhibited temporal dynamics over the cell culture period. The steps involving galactose and sialic acid addition were determined as temporal bottlenecks. Our results show that galactose, and not manganese, is able to mitigate the temporal bottleneck, despite both being known effectors of galactosylation. Furthermore, sialylation is limited by the galactosylated precursors and autoregulation of cytidine monophosphate-sialic acid biosynthesis.
first_indexed 2024-09-23T13:16:55Z
format Article
id mit-1721.1/125974
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T13:16:55Z
publishDate 2020
publisher Elsevier BV
record_format dspace
spelling mit-1721.1/1259742022-09-28T13:09:21Z Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses Sumit, Madhuresh Dolatshahi, Sepideh Chu, An-Hsiang Adam Cote, Kaffa Scarcelli, John J. Marshall, Jeffrey K. Cornell, Richard J. Weiss, Ron Lauffenburger, Douglas A. Mulukutla, Bhanu Chandra Figueroa, Bruno Massachusetts Institute of Technology. Department of Biological Engineering N-linked glycosylation affects the potency, safety, immunogenicity, and pharmacokinetic clearance of several therapeutic proteins including monoclonal antibodies. A robust control strategy is needed to dial in appropriate glycosylation profile during the course of cell culture processes accurately. However, N-glycosylation dynamics remains insufficiently understood owing to the lack of integrative analyses of factors that influence the dynamics, including sugar nucleotide donors, glycosyltransferases, and glycosidases. Here, an integrative approach involving multi-dimensional omics analyses was employed to dissect the temporal dynamics of glycoforms produced during fed-batch cultures of CHO cells. Several pathways including glycolysis, tricarboxylic citric acid cycle, and nucleotide biosynthesis exhibited temporal dynamics over the cell culture period. The steps involving galactose and sialic acid addition were determined as temporal bottlenecks. Our results show that galactose, and not manganese, is able to mitigate the temporal bottleneck, despite both being known effectors of galactosylation. Furthermore, sialylation is limited by the galactosylated precursors and autoregulation of cytidine monophosphate-sialic acid biosynthesis. 2020-06-24T16:02:54Z 2020-06-24T16:02:54Z 2019-02 2018-11 2020-03-12T17:00:58Z Article http://purl.org/eprint/type/JournalArticle 2589-0042 https://hdl.handle.net/1721.1/125974 Sumit, Madhuresh et al. "Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses." iScience 12 (February 2019): P102-120 © 2019 The Authors en http://dx.doi.org/10.1016/j.isci.2019.01.006 iScience Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Elsevier
spellingShingle Sumit, Madhuresh
Dolatshahi, Sepideh
Chu, An-Hsiang Adam
Cote, Kaffa
Scarcelli, John J.
Marshall, Jeffrey K.
Cornell, Richard J.
Weiss, Ron
Lauffenburger, Douglas A.
Mulukutla, Bhanu Chandra
Figueroa, Bruno
Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses
title Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses
title_full Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses
title_fullStr Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses
title_full_unstemmed Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses
title_short Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses
title_sort dissecting n glycosylation dynamics in chinese hamster ovary cells fed batch cultures using time course omics analyses
url https://hdl.handle.net/1721.1/125974
work_keys_str_mv AT sumitmadhuresh dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT dolatshahisepideh dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT chuanhsiangadam dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT cotekaffa dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT scarcellijohnj dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT marshalljeffreyk dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT cornellrichardj dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT weissron dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT lauffenburgerdouglasa dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT mulukutlabhanuchandra dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses
AT figueroabruno dissectingnglycosylationdynamicsinchinesehamsterovarycellsfedbatchculturesusingtimecourseomicsanalyses