Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10362/165743
Título: | Identification of Mispairing Omic Signatures in Chinese Hamster Ovary (CHO) Cells Producing a Tri-Specific Antibody |
Autor: | Sebastião, Maria João Hoffman, Michael Escandell, José Tousi, Fatemeh Zhang, Jin Figueroa, Bruno DeMaria, Christine Gomes-Alves, Patrícia |
Palavras-chave: | CHO cells mispairing multispecific antibodies proteomics transcriptomics Medicine (miscellaneous) Biochemistry, Genetics and Molecular Biology(all) SDG 3 - Good Health and Well-being |
Data: | Nov-2023 |
Resumo: | Monoclonal antibody-based therapy has shown efficacy against cancer, autoimmune, infectious, and inflammatory diseases. Multispecific antibodies (MsAbs), including trispecifics (tsAbs), offer enhanced therapeutic potential by targeting different epitopes. However, when co-expressed from three or more different polypeptide chains, MsAb production can lead to incorrect chain assembly and co-production of mispaired species with impaired biological activity. Moreover, mispairing carries significant challenges for downstream purification, decreasing yields and increasing the cost of bioprocess development. In this study, quantitative transcriptomics and proteomics analyses were employed to investigate which signaling pathways correlated with low and high mispairing clone signatures. Gene and protein expression profiles of Chinese hamster ovary (CHO) clones producing an tsAb were analyzed in the exponential growth and stationary (tsAb production) phase of fed-batch culture. Functional analysis revealed activated endoplasmic reticulum stress in high mispairing clones in both culture phases, while low mispairing clones exhibited expression profiles indicative of activated protein translation, as well as higher endocytosis and target protein degradation, suggesting the clearance of unfolded proteins through ubiquitin-mediated mechanisms. In addition, through transcriptomic profiling, we identified a group of genes that have the potential to be used as a biomarker panel tool for identifying high mispairing levels in the early stages of bioprocess development. |
Descrição: | Funding Information: Authors acknowledge the support from the UniMS team, all MS data were generated by the UniMS–Mass Spectrometry Unit, iBET/ITQB, Oeiras, Portugal. RNA sequencing was performed at the Genomics Unit, Instituto Gulbenkian Ciência, Oeiras, Portugal. The authors also acknowledge Nikolaus Virgolini at iBET for his assistance with RNAseq DESeq2 analysis, and Mafalda Dias at iBET for her expertise and assistance with validation of genes by qPCR. Funding Information: This research was funded by Fundação para a Ciência e Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior (FCT/MCTES, Portugal) through national funds to iNOVA4Health (UIDB/04462/2020 and UIDP/04462/2020) and the Associate Laboratory LS4FUTURE (LA/P/0087/2020). J. E. is funded by Stimulus of Scientific Employment, Individual Support program (2020.01216.CEECIND). Sanofi is also a sponsor of this work. Publisher Copyright: © 2023 by the authors. |
Peer review: | yes |
URI: | http://hdl.handle.net/10362/165743 |
DOI: | https://doi.org/10.3390/biomedicines11112890 |
ISSN: | 2227-9059 |
Aparece nas colecções: | Home collection (ITQB) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Identification_of_Mispairing_Omic_Signatures_in_Chinese_Hamster_Ovary.pdf | 3,01 MB | Adobe PDF | Ver/Abrir |
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