Upstream Processing

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The Making of mRNA

A tidal wave of questions floats the need for more upstream automation.

The Making of mRNA

Milestone Approval to Steady Stream, Gene Editing Revs Up

The milestone approval of a gene-edited therapeutic paves the way for gene-editing technologies.

Milestone Approval to Steady Stream, Gene Editing Revs Up

The Pros and Cons of Adherent Versus Suspension Cell Culture

Both adherent and suspension cell culture approaches have their pros and cons, which must be considered for process development.

The Pros and Cons of Adherent Versus Suspension Cell Culture

One goal of process characterization is establishing representative performance parameter ranges that can be used to set validation acceptance criteria (VAC). Characterization studies yield varying numbers of data points from multiple experiments, and may also include data generated at different scales (e.g., bench, pilot, and commercial), which add complexity to the analysis. Many statistical approaches can be used to set ranges from large data sets. As an example, we present the statistical considerations and techniques for setting validation acceptance ranges for a chromatography step used in purifying a recombinant protein. Performance parameter data from a combined data set consisting of 67 bench, six pilot, and three full-scale runs were analyzed using the statistical analysis software JMP (SAS Institute). The combined data set was used to compute tolerance intervals, so that sources such as scale and column feed material could be properly modeled. The resulting ranges were used to establish..

Manufacturing recombinant proteins at industrially relevant levels requires technologies that can engineer stable, high-expressing cell lines rapidly, reproducibly, and with relative ease. Commonly used methods incorporate transfection of mammalian cell lines with plasmid DNA containing the gene of interest. Identifying stable, high-expressing transfectants is normally laborious and time consuming. To improve this process, the ACE System has been developed based on pre-engineered artificial chromosomes with multiple recombination acceptor sites. This system allows targeted integration of single or multiple gene copies and eliminates the need for random integration into native host chromosomes. To illustrate the usefulness of the ACE System in generating stable, high-expressing cell lines, we present several case studies covering CHO cell lines expressing monoclonal antibodies.

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Biopharmaceutical processes typically require a significant investment in equipment-often a substantial obstacle for start-up companies. The risk of drug development failure is often high, further limiting access to the required capital. Flexibility and lower capital outlays are required not only by start-up companies, but also by research organizations with multiple product lines and by companies requiring quick capacity increases. Disposable technologies offer the highest potential for these companies to meet their business requirements. With lower capital requirements and increased flexibility, disposables are an important part of these companies' risk management strategy.

The number of biotechnology-based human therapeutic products in the late-stage pipeline, and the average cost to commercialize a biotech product, have steadily increased. This has required biotech companies to use economic analysis as a tool during process development and for making decisions about process design. Process development efforts now aim to create processes that are economical, as well as optimal and robust.

This article shows how Probabilistic Tolerance Intervals of the form, "We are 99% confident that 99% of the measurements will fall within the calculated tolerance limits" can be used to set acceptance limits using production data that are approximately Normally distributed. If the production measurements are concentrations of residual compounds that are present in very low concentrations, it may be appropriate to set acceptance limits by fitting a Poisson or an Exponential Distribution.

Development reports document process development and support the design of validation experiments, yet in many firms training is not provided nor are expectations established. This article describes how project managers can help scientists master the art of report-writing.