Targeted fusion of antibody-secreting cells: Unlocking monoclonal antibody production with hybridoma technology
Year: 2025
Type: article
Abstract: Monoclonal antibodies (mAbs) produced by hybridoma technology have extensively proved their value for therapeutic, diagnostic, and biomedical research applications, despite the reported low fusion yields between short-lived B cells and immortal myeloma cells. To improve the efficiency of this process and accelerate the development of new mAbs, we characterized and isolated antibody-secreting cells (ASCs) from the spleen of immunized mice before cell fusion. This approach resulted in a high yield of hybridoma generation by increasing the probability of successive pairing between the most suitable cell fusion partners. Specifically, we developed an optimized workflow combining Fluorescence-Activated Cell Sorting (FACS) with antibody secretion assays, using a panel of five cell-surface markers (CD3, TACI, CD138, MHC-II, and B220) that allowed us to identify a particular ASC subset with key characteristics. Such ASCs exhibited a plasmablast phenotype with high MHC-II expression and secreted high levels of Ag-specific antibodies in immunized mice. These features were also found in hybridomas, suggesting a preferential fusion of myeloma cells with this ASCs subset. Finally, the targeted electrofusion of TACI high CD138 high sorted ASCs led to a 100% fusion yield compared to a non-targeted approach. In particular, over 60% of these generated hybridomas secreted Ag-specific mAbs. Collectively, these results pave the way for a highly efficient method to produce new mAbs by cell fusion, which could facilitate hybridoma generation and expand therapeutic applications of mAbs.
Source: mAbs
Authors: Fanny Rousseau, Catherine Menier, Patricia Brochard, Stéphanie Simon, Karla Perez-Toralla, Anne Wijkhuisen
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,575
OpenAlex ID: W4410740640
