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Cell Culture

Cell Culture

Most vertebrate cells grow in vitro attached to a substrate as a monolayer, called adherent cultures. The flasks and plates used to grow cells are chemically treated to facilitate cell attachment. However, a few cell types, such as hematopoietic cells, can grow in a suspension. In contrast to adherent cultures, suspension cultures can grow in non-treated cultureware using magnetic stirrers or spinner flasks to agitate the culture media

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Related Experiment Video

Updated: Sep 5, 2025

Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells

Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells

Published on: September 28, 2018

Data-driven and model-guided systematic framework for media development in CHO cell culture.

Jong Kwang Hong¹, Dong-Hyuk Choi², Seo-Young Park²

¹Division of Biological Science and Technology, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do, 26493, Republic of Korea.

Metabolic Engineering

|July 7, 2022

Summary

This summary is machine-generated.

This study introduces a media design framework using statistical analysis and metabolic modeling to improve cell culture performance. Supplementing CoQ10 enhanced Chinese hamster ovary cell growth by resolving a metabolic bottleneck.

Keywords:

CHO cells Coenzyme q10 Genome-scale metabolic model Mammalian systems biotechnology Media development Multivariate data analysis

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Last Updated: Sep 5, 2025

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Published on: September 28, 2018

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Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Published on: May 18, 2020

Area of Science:

Biotechnology
Metabolic Engineering
Cell Culture Optimization

Background:

Optimizing cell culture media is crucial for biopharmaceutical production.
Chinese hamster ovary (CHO) cells are widely used for monoclonal antibody production.
Current media design often relies on empirical approaches, lacking mechanistic insights.

Purpose of the Study:

To present a systematic framework for rational media design.
To integrate multivariate statistics and in silico metabolic modeling.
To identify target media components for enhancing cell culture performance.

Main Methods:

Collected cell culture and metabolite data from CHO cell lines.
Applied multivariate statistical analysis to explore cell line and media effects.
Utilized genome-scale metabolic models for in silico flux prediction and bottleneck identification.

Main Results:

Identified a redox imbalance in the TCA cycle as a metabolic bottleneck under suboptimal growth conditions.
In silico simulations suggested Coenzyme Q10 (CoQ10) supplementation to address the redox imbalance.
Experimental validation confirmed that CoQ10 addition significantly increased cell growth.

Conclusions:

The proposed framework enables rational identification of nutrients for cell line-specific media design.
This approach can significantly improve cell culture performance for bioprocessing.
Metabolic modeling combined with statistical analysis offers a powerful tool for media optimization.