Investigation of a failed DNA assay leads to identification of an unexpected contaminant in a commonly used chromatography buffer.

For mammalian cell-derived recombinant biotherapeutics, controlling host cell DNA levels below a threshold is a regulatory requirement to ensure patient safety. DNA removal during drug substance manufacture is accomplished by a series of chromatography-based purification steps and a qPCR-based analytical method is most used to measure DNA content in the purified drug substance to enable material disposition. While the qPCR approach is mature and its application to DNA measurement is widespread in the industry, it is susceptible to trace levels of process-related contaminants that are carried forward. In this study, we observed failures in spike recovery studies that are an integral component of the qPCR-based DNA testing, suggesting the presence of an inhibitory compound in the sample matrix. We generated hypotheses around the origin of the inhibitory compound and generated multiple sample matrices and deployed a suite of analytical techniques including Raman and NMR spectroscopy to determine the origin and identity of the inhibitory compound. The caustic wash step and depth filter extractables were ruled out as root causes after extensive experimentation and DNA testing. Subsequently, 2-(N-morpholino)ethanesulfonic acid (MES), a buffer used in the chromatography unit operations, was identified as the source of the contaminant. A 500-fold concentration followed by Raman and NMR spectroscopy analysis revealed the identity of the inhibitory compound as polyvinyl sulfone (PVS), an impurity that originates in the MES manufacturing process. We have implemented PVS concentration controls for incoming MES raw material, and our work highlights the need for rigor in raw material qualification and control.

State-of-the-art and emerging trends in analytical approaches to pharmaceutical-product commercialization.

The biopharmaceutical landscape continues to evolve rapidly, and associated modality complexity and the need to improve molecular understanding require concomitant advances in analytical approaches used to characterize and release the product. The Product Quality Attribute Assessment (PQAA) and Quality Target Product Profile (QTPP) frameworks help catalog and translate molecular understanding to process and product-design targets, thereby enabling reliable manufacturing of high-quality product. The analytical target profile forms the basis of identifying best-fit analytical methods for attribute measurement and continues to be successfully used to develop robust analytical methods for detailed product characterization as well as release and stability testing. Despite maturity across multiple testing platforms, advances continue to be made, several with the potential to alter testing paradigms. There is an increasing role for mass spectrometry beyond product characterization and into routine release testing as seen by the progress in multi-attribute methods and technologies, applications to aggregate measurement, the development of capillary zone electrophoresis (CZE) coupled with mass spectrometry (MS) and capillary isoelectric focusing (CIEF) with MS for measurement of glycans and charged species, respectively, and increased application to host cell protein measurement. Multitarget engaging multispecific modalities will drive advances in bioassay platforms and recent advances both in 1- and 2-D NMR approaches could make it the method of choice for characterizing higher-order structures. Additionally, rigorous understanding of raw material and container attributes is necessary to complement product understanding, and these collectively can enable robust supply of high-quality product to patients.

Accuracy and sensitivity of residual DNA detection by QPCR is not predicted by target copy number.

A major issue in the use of mammalian cell culture in biopharmaceutical manufacturing is the removal of process related impurities, such as residual host cell DNA, during the product purification process. To ensure that sufficient DNA removal is achieved during purification, it is essential to have an accurate and sensitive assay for host cell DNA. The quantitative polymerase chain reaction (QPCR) is widely used for this purpose; however, the extent to which the choice of QPCR gene target can have an impact on final results requires further understanding. In the present study, we examined the relationship between the genomic copy number of eight different Chinese Hamster ovary (CHO) gene targets and the sensitivity and accuracy afforded by those targets in a residual host cell DNA QPCR assay. We also evaluated the use of each gene target for accurate measurement of residual DNA clearance using in-process purification samples from two CHO production cell lines. Our results revealed a correlation between gene target abundance and the potential sensitivity for use in a QPCR assay. However, we found that higher copy number gene targets do not provide the highest measurement or reveal the largest clearance of residual host cell DNA from purification samples. These findings suggest that different DNA sequences may clear or degrade at differential rates and highlight unexpected considerations that must be made in the choice of QPCR gene target when designing QPCR assays.

Perfectly complementary nucleic acid enzymes.

The ability to maximize the use of available nucleic acid sequence space would have been crucial during the presumed RNA world and confers selective advantage in many contemporary organisms. One way to access sequence space at a higher density would be to make use of both strands of a duplex nucleic acid for the production of functional molecules. As a demonstration of this possibility, two pairs of nucleic acid enzymes were engineered to be perfect complements, each with the capacity to adopt a distinct structure and catalyze a particular chemical transformation. Both members of each pair of enzymes exhibited nearly the same level of activity as the canonical form of the corresponding catalytic motif. The ability to generate functional nucleic acids encoded by both strands of a duplex has implications for the evolution of catalytic nucleic acids and the prospects for realizing maximum functionality from a given genetic sequence.