Evidence map›Paper›PMID 36978748›Full record

ArticleBioengineering (Basel, Switzerland)2023

Rapid Identification of Chinese Hamster Ovary Cell Apoptosis and Its Potential Role in Process Robustness Assessment.

Shang Xiao, Qiang Li, Jinlong Jiang, Chengxiao Huo, Hao Chen, Meijin Guo

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Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shang XiaoState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.ORCID 0000-0002-9616-9315
Qiang LiState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.
Jinlong JiangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.
Chengxiao HuoShanghai Biological Products Research Institute Co., Ltd., Shanghai 200051, China.
Hao ChenShanghai Biological Products Research Institute Co., Ltd., Shanghai 200051, China.
Meijin GuoState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.

Funding

Fundamental Research Funds for the China Central Universities 22221818014
6 · The paper itself

Abstract

Currently, the assessment of process robustness is often time-consuming, labor-intensive, and material-intensive using process characterization studies. Therefore, a simple and time-saving method is highly needed for the biopharmaceutical industry. Apoptosis is responsible for 80% of Chinese hamster ovary (CHO) cell deaths and affects the robustness of the cell culture process. This study's results showed that a more robust process can support cells to tolerate apoptosis for a longer time, suggesting that the robustness of the process could be judged by the ability of cells to resist apoptosis. Therefore, it is necessary to establish a rapid method to detect the apoptosis of CHO cells. In trying to establish a new method for detecting apoptosis in large-scale cell cultures, glucose withdrawal was studied, and the results showed that CHO cells began to apoptose after glucose was consumed. Then, the concentration of extracellular potassium increased, and a prolongation of apoptosis time was observed. Further study results showed that the process with poor robustness was associated with a higher proportion of apoptosis and extracellular potassium concentration, so potassium could be used as a biochemical index of apoptosis. The strategy we present may be used to expedite the assessment of process robustness to obtain a robust cell culture process for other biologics.

Indexed as

apoptosisCHOglucose withdrawalprocess characterizationrobustness

Identifiers

PMID36978748
PMCPMC10045091

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