Piloting a scale-up platform for high-quality human T-cells production.

Cell and gene therapies are an innovative solution to various severe diseases and unfulfilled needs. Adoptive cell therapy (ACT), a form of cellular immunotherapies, has been favored in recent years due to the approval of chimeric antigen receptor CAR-T products. Market research indicates that the industry's value is predicted to reach USD 24.4 billion by 2030, with a compound annual growth rate (CAGR) of 21.5%. More importantly, ACT is recognized as the hope and future of effective, personalized cancer treatment for healthcare practitioners and patients worldwide. The significant global momentum of this therapeutic approach underscores the urgent need to establish it as a practical and standardized method. It is essential to understand how cell culture conditions affect the expansion and differentiation of T-cells. However, there are ongoing challenges in ensuring the robustness and reproducibility of the manufacturing process. The current study evaluated various adoptive T-cell culture platforms to achieve large-scale production of several billion cells and high-quality cellular output with minimal cell death. It examined factors such as bioreactor parameters, media, supplements and stimulation. This research addresses the fundamental challenges of scalability and reproducibility in manufacturing, which are essential for making adoptive T-cell therapy an accessible and powerful new class of cancer therapeutics.

Metabolic characterization of a hyper-productive state in an antibody producing NS0 myeloma cell line.

Metabolic profiling or metabolomics is the analysis of a larger number of small metabolic compounds within cells. While this technique has been utilized to study microbial and yeast strains under different physiochemical conditions, very little has been reported regarding its application in mammalian cell culture. Here, the physiological and metabolic changes observed during the proliferation arrest of an antibody producing GS-NS0 mouse myeloma cell line were studied using conventional biochemical analysis and one-dimensional nuclear magnetic resonance (NMR)-based metabolic profiling. Proliferation-arrested cells had increased antibody productivity, enhanced normalized mitochondrial membrane potential, and showed changes in the consumption of several amino acids. Further investigation into these physiological changes was carried out by (1)H NMR profiling followed by principle component analysis (PCA). The resulting data showed a clear separation of the arrested and control spectra that related to the altered metabolic state of the arrested culture. Metabolites associated with phosphatidylcholine homeostasis, lipid and fatty acid metabolism, and ascorbate formation were found to be present in significant amount in these cultures. Taken together, the results suggested that there was a link between the metabolic alterations and the hyper-productive state, possibly relating to vesicle recycling and secretory functions, and mechanism to counteract against the generation of reactive oxygen species. While the use of metabolic profiling is still in its infancy, its potential to enhance the understanding of physiological processes in mammalian cell lines used for antibody production is certain.

Detailed understanding of enhanced specific antibody productivity in NS0 myeloma cells.

The understanding of how cellular productivity is modulated in cell lines is of significant importance in the biopharmaceutical industry. Often, single molecular mechanisms fail to fully explain how specific antibody productivity is enhanced during proliferation arrest. Previously, we reported that certain physiological changes occur when proliferation is arrested by p21(CIP1) over expression. In this work, we correlate physiological and molecular factors to enhance antibody productivity. Using biomass, cell volume and total cellular protein content as a basis for determining specific productivity, it was found that total cellular protein correlated best with cellular productivity. This meant that there was no preferential increase in antibody production relative to cellular proteins in arrested cultures. However, molecular analysis of mRNA transcription and stability indicated that both processes were altered in arrested cultures resulting in up to threefold increased heavy chain mRNA levels. While flow cytometric analysis revealed that arrested cells had elevated translational capacity for both heavy and light chains, the heavy to light chain polypeptide ratio was 10-50% higher than in the control. This resulted in a lower extracellular accumulation of light chains and a better utilization of cellular resources for the formation of complete antibodies. Active transcriptional regulation of heavy and light chain mRNA and the modulation of translational activities play a vital role in the modulation of overall antibody productivity of these cells. The combined effect of heavy chain mRNA enhancement and the increased cellular assembly capacity was determined to effectively increase specific productivity.

Metabolomics as a complementary tool in cell culture.

Metabolomics, the 'global' study of metabolite changes in a biological system, has drawn a significant amount of interest over the last few years. It can be said to be an amalgam of traditional areas such as metabolite analysis, bioanalytical development and chemometrics. Thus, piecing these areas together into the cohesive science of metabolome analysis has proved to be difficult. Most work to date has been focused on plant, microbial, as well as tissue and biofluid samples. However, the diverse potential of metabolomics in many fields, including cell engineering, has made it a universal tool for industrial, medical and research purposes. It is also a vital component of a 'systems biology' approach, as it is believed to be a good reflection of the phenotype of any cell or tissue. At the heart of metabolomics' growth is the issue of method development, including sample preparation, instrument analysis, data processing and bioinformatics. Here, we look at the cell-culture applications of metabolomics and the issues that can transform metabolomics into a mature 'omics' science.

A genome-wide transcriptional analysis of producer and non-producer NS0 myeloma cell lines.

'Genome-wide' or 'global' gene expression profiling provides a powerful approach to the characterization of a cell's transcriptional state. Such technology has been used in animal cell culture to create genome-wide snapshots of transcriptional activity in response to environmental factors or cellular triggers under bioprocessing conditions. Furthermore, it allows us to have a fundamental understanding of genetic mechanisms involved in recombinant protein production. One such mechanism adversely affecting the growth of recombinant bacteria is the increased metabolic burden resulting from the maintenance of plasmid copy number and heterologous protein expression. There have also been some reports on the effect of metabolic burden in mammalian cell systems. In the present study, we have used a mouse array representing 6400 genes to assess the expression profile of a WT (wild-type) mouse plasmacytoma cell line, NS0 WT, and a GS (glutamine synthetase)-NS0 6A1-100 cell line expressing chimaeric monoclonal antibody. The producer cells did not exhibit a slower growth as the result of any metabolic burden, but showed differences in metabolic activity. Gene expression profiling revealed that the producer cell line was selected for a higher expression of chromosomal genes, genes for zinc-finger proteins as well as cell-cycle-related events. On the other hand, protein synthesis is greater and ribosomal genes were more expressed in the WT cells. A possible shift from expressing antigen presenting proteins to recombinant protein could also be seen. Hence, gene expression profiling suggests that the effect of the metabolic burden in slowing growth can be mostly negated in producer cell lines by careful clonal selection, where stable transfected cells are selected for both high productivity as well as high growth rates.