Erika Csató-Kovács, Pál Salamon, Szilvia Fikó-Lászlo, Krisztina Kovács, Alice Koka, Mónika András-Korodi, Emőke Antal, Emília Brumă, Brigitta Tőrsők, Szilárd Gudor, Ildikó Miklóssy, Kálmán Csongor Orbán, Csilla Albert, Emese Éva Bálint, Beáta Albert
{"title":"开发可稳定生产抗-PD-1 的哺乳动物细胞系。","authors":"Erika Csató-Kovács, Pál Salamon, Szilvia Fikó-Lászlo, Krisztina Kovács, Alice Koka, Mónika András-Korodi, Emőke Antal, Emília Brumă, Brigitta Tőrsők, Szilárd Gudor, Ildikó Miklóssy, Kálmán Csongor Orbán, Csilla Albert, Emese Éva Bálint, Beáta Albert","doi":"10.3390/antib13040082","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background/Objectives:</b> Immune checkpoint blockade, particularly targeting the programmed cell death 1 (PD-1) receptor, is a promising strategy in cancer immunotherapy. The interaction between PD-1 and its ligands, PD-L1 and PD-L2, is crucial in immune evasion by tumors. Blocking this interaction with monoclonal antibodies like Nivolumab can restore anti-tumor immunity. This study aims to develop a stable expression system for Nivolumab-based anti-PD-1 in the Chinese Hamster Ovary (CHO) DG44 cell line using two different expression vector systems with various signal sequences. <b>Methods:</b> The heavy chain (HC) and light chain (LC) of Nivolumab were cloned into two expression vectors, pOptiVEC and pcDNA3.3. Each vector was engineered with two distinct signal sequences, resulting in the creation of eight recombinant plasmids. These plasmids were co-transfected into CHO DG44 cells in different combinations, allowing for the assessment of stable antibody production. <b>Results:</b> Both pOptiVEC and pcDNA3.3 vectors were successful in stably integrating and expressing the Nivolumab-based anti-PD-1 antibody in CHO DG44 cells. This study found that the choice of signal sequence significantly influenced the quantity of antibodies produced. The optimization of production conditions further enhanced antibody yield, indicating the potential for large-scale production. <b>Conclusions:</b> This study demonstrates that both pOptiVEC and pcDNA3.3 expression systems are effective for the stable production of Nivolumab-based anti-PD-1 in CHO DG44 cells. Signal sequences play a critical role in determining the expression levels, and optimizing production conditions can further increase antibody yield, supporting future applications in cancer immunotherapy.</p>","PeriodicalId":8188,"journal":{"name":"Antibodies","volume":"13 4","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11503334/pdf/","citationCount":"0","resultStr":"{\"title\":\"Development of a Mammalian Cell Line for Stable Production of Anti-PD-1.\",\"authors\":\"Erika Csató-Kovács, Pál Salamon, Szilvia Fikó-Lászlo, Krisztina Kovács, Alice Koka, Mónika András-Korodi, Emőke Antal, Emília Brumă, Brigitta Tőrsők, Szilárd Gudor, Ildikó Miklóssy, Kálmán Csongor Orbán, Csilla Albert, Emese Éva Bálint, Beáta Albert\",\"doi\":\"10.3390/antib13040082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background/Objectives:</b> Immune checkpoint blockade, particularly targeting the programmed cell death 1 (PD-1) receptor, is a promising strategy in cancer immunotherapy. The interaction between PD-1 and its ligands, PD-L1 and PD-L2, is crucial in immune evasion by tumors. Blocking this interaction with monoclonal antibodies like Nivolumab can restore anti-tumor immunity. This study aims to develop a stable expression system for Nivolumab-based anti-PD-1 in the Chinese Hamster Ovary (CHO) DG44 cell line using two different expression vector systems with various signal sequences. <b>Methods:</b> The heavy chain (HC) and light chain (LC) of Nivolumab were cloned into two expression vectors, pOptiVEC and pcDNA3.3. Each vector was engineered with two distinct signal sequences, resulting in the creation of eight recombinant plasmids. These plasmids were co-transfected into CHO DG44 cells in different combinations, allowing for the assessment of stable antibody production. <b>Results:</b> Both pOptiVEC and pcDNA3.3 vectors were successful in stably integrating and expressing the Nivolumab-based anti-PD-1 antibody in CHO DG44 cells. This study found that the choice of signal sequence significantly influenced the quantity of antibodies produced. The optimization of production conditions further enhanced antibody yield, indicating the potential for large-scale production. <b>Conclusions:</b> This study demonstrates that both pOptiVEC and pcDNA3.3 expression systems are effective for the stable production of Nivolumab-based anti-PD-1 in CHO DG44 cells. Signal sequences play a critical role in determining the expression levels, and optimizing production conditions can further increase antibody yield, supporting future applications in cancer immunotherapy.</p>\",\"PeriodicalId\":8188,\"journal\":{\"name\":\"Antibodies\",\"volume\":\"13 4\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11503334/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Antibodies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/antib13040082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Antibodies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/antib13040082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Development of a Mammalian Cell Line for Stable Production of Anti-PD-1.
Background/Objectives: Immune checkpoint blockade, particularly targeting the programmed cell death 1 (PD-1) receptor, is a promising strategy in cancer immunotherapy. The interaction between PD-1 and its ligands, PD-L1 and PD-L2, is crucial in immune evasion by tumors. Blocking this interaction with monoclonal antibodies like Nivolumab can restore anti-tumor immunity. This study aims to develop a stable expression system for Nivolumab-based anti-PD-1 in the Chinese Hamster Ovary (CHO) DG44 cell line using two different expression vector systems with various signal sequences. Methods: The heavy chain (HC) and light chain (LC) of Nivolumab were cloned into two expression vectors, pOptiVEC and pcDNA3.3. Each vector was engineered with two distinct signal sequences, resulting in the creation of eight recombinant plasmids. These plasmids were co-transfected into CHO DG44 cells in different combinations, allowing for the assessment of stable antibody production. Results: Both pOptiVEC and pcDNA3.3 vectors were successful in stably integrating and expressing the Nivolumab-based anti-PD-1 antibody in CHO DG44 cells. This study found that the choice of signal sequence significantly influenced the quantity of antibodies produced. The optimization of production conditions further enhanced antibody yield, indicating the potential for large-scale production. Conclusions: This study demonstrates that both pOptiVEC and pcDNA3.3 expression systems are effective for the stable production of Nivolumab-based anti-PD-1 in CHO DG44 cells. Signal sequences play a critical role in determining the expression levels, and optimizing production conditions can further increase antibody yield, supporting future applications in cancer immunotherapy.
期刊介绍:
Antibodies (ISSN 2073-4468), an international, peer-reviewed open access journal which provides an advanced forum for studies related to antibodies and antigens. It publishes reviews, research articles, communications and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. Electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material. This journal covers all topics related to antibodies and antigens, topics of interest include (but are not limited to): antibody-producing cells (including B cells), antibody structure and function, antibody-antigen interactions, Fc receptors, antibody manufacturing antibody engineering, antibody therapy, immunoassays, antibody diagnosis, tissue antigens, exogenous antigens, endogenous antigens, autoantigens, monoclonal antibodies, natural antibodies, humoral immune responses, immunoregulatory molecules.