AI-Driven Insights into the complexities of Chinese hamster ovary cells death in order to optimize production processes.

Mohammad Moshfeghnia,Hasan Jalili,Sayed-Amir Marashi

bioRxiv (Cold Spring Harbor Laboratory)(2023)

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摘要
Chinese hamster ovary (CHO) cells are a multipurpose and high-performance cell line for recombinant protein production in biopharmaceutical industry. They have proven their ability to produce a wide range of therapeutic proteins with high efficiency and quality. Design novel and high-performance CHO (Chinese Hamster Ovary) cell lines have incredible impact in biopharmaceutical industry that cause reduce prices and increase product efficiency. One of the best ways is to prevent CHO cells death during Bioprocessing. Apoptosis is the most shape of CHO cells death during Bioprocessing. Apoptosis and cell-cycle complex signaling pathways are necessary for the control of cell growth, efficiency, and death in CHO cells. Therefore, understanding the protein interactions of these pathways and their interactions with other cellular processes can help to optimize the performance and quality of CHO cell lines. AI-Driven insights solutions and Advanced machine learning algorithms like GAT (Graph Attention Network) that use in this project indicate most important Targets in these complexes signaling pathways. Also, Viruses like: Hepatitis C, HIV1 and Bacteria like: Salmonella have High intersection size and Low P-value with these complexes signaling pathways. These Microorganisms should be used to design high-performance CHO cell lines because they are master in these pathways. This Method can be used for finding novel and high efficiency targets for cure Cancer in Humans. ### Competing Interest Statement The authors have declared no competing interest.
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