09.21.26 -- A Gentler Cell Line Selection Method Using microRNA

Feeding strategy directly influences growth, yield, oxygen demand, and product quality. Choosing the right mode—batch, fed-batch, or continuous—helps balance productivity, control, and efficiency.

Automated screening of antibody-producing clones provides real-time cell health and titer data, helping developers identify top-performing candidates earlier and with confidence.

Learn how rational plasmid engineering and promoter optimization can significantly improve AAV productivity while reducing plasmid burden, paving the way for more efficient manufacturing.

Perfusion-based upstream production offers up to 24% lower cost and significantly higher productivity than fed-batch, enabling faster timelines, better facility utilization, and improved quality.

Gain insight into a set of optimized transient expression tools to support early stage expression of a range of therapeutic proteins.

Low-shear, closed-system media exchange is vital for scalability. This study compares automated centrifugation to gravity sedimentation, showing equivalent or superior differentiation outcomes.

Discover how advanced transfection technology can accelerate therapeutic development, as well as faster, more flexible cell-based screening assays to optimize your research.

Listen in as Dr. Corey Stanton speaks with Dr. Omar Wahab, Vice President of Bioprocessing at Lonza, about the strategic role of cell culture media in scalable biologics manufacturing.

When E. coli-derived asparaginase supply failed patients with hypersensitivity, a recombinant Erwinia alternative went from project kick-off to FDA approval in approximately five years.

Examine four essential bioprocess scale-up criteria and how each balances hydrodynamics, shear, and mass transfer across manufacturing scales.

See how an advanced cell line development platform now supports HEK cells alongside CHO, enabling rapid, scalable production of complex biologics while saving up to 12 weeks on development timelines.

Watch to understand more about designing large Design-of-Experiment (DOE) upstream process development studies and the elements that could positively or negatively effect your throughput.