Host cell proteins (HCPs) constitute a major group of impurities for biologic drugs produced using cell culture technology. HCPs are required to be closely monitored and adequately removed in the downstream process. However, HCPs are a complex mixture of proteins with significantly diverse molecular and immunological properties. An overall understanding of the composition of HCPs and changes in their molecular properties upon changes in upstream and harvest process conditions can greatly facilitate downstream process design. This article describes the use of a comparative proteomic profiling method viz. two-dimensional difference gel electrophoresis (2D-DIGE) to examine HCP composition in the harvest stream of CHO cell culture. The effect of upstream process parameters such as cell culture media, bioreactor control strategy, feeding strategy, and cell culture duration/cell viability on HCP profile was examined using this technique. Among all the parameters studied, cell viability generated the most significant changes on the HCP profile. 2D-DIGE was also used to compare the HCP differences between monoclonal antibody producing and null cell cultures. The HCP species in production cell culture was found to be well represented in null cell culture, which confirms the suitability of using the null cell culture for immunoassay reagent generation. 2D-DIGE is complimentary to the commonly used HCP immunoassay. It provides a direct comparison of the changes in HCP composition under different conditions and can reveal properties (pI, MW) of individual species, whereas the immunoassay sensitively quantifies total HCP amount in a given sample.

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An improved expression protocol is proposed for amino acid type-specific [C], [N]-isotope labeling of proteins in baculovirus-infected (BV) insect cell cultures. This new protocol modifies the methods published by Gossert et al. (J Biomol NMR 51(4):449-456, 2011) and provides efficient incorporation of isotopically labeled amino acids, with similar yields per L versus unlabeled expression in rich media. Gossert et al. identified the presence of unlabeled amino acids in the yeastolate of the growth medium as a major limitation in isotope labeling using BV-infected insect cells. By reducing the amount of yeastolate in the growth medium ten-fold, a significant improvement in labeling efficiency was demonstrated, while maintaining good protein expression yield. We report an alternate approach to improve isotope labeling efficiency using BV-infected insect cells namely by replacing the yeast extracts in the medium with dialyzed yeast extracts to reduce the amount of low molecular weight peptides and amino acids. We report the residual levels of amino acids in various media formulations and the amino acid consumption during fermentation, as determined by NMR. While direct replacement of yeastolate with dialyzed yeastolate delivered moderately lower isotope labeling efficiencies compared to the use of ten-fold diluted undialized yeastolate, we show that the use of dialyzed yeastolate combined with a ten-fold dilution delivered enhanced isotope labeling efficiency and at least a comparable level of protein expression yield, all at a scale which economizes use of these costly reagents.

C-terminal Src kinase (CSK) functions as a negative regulator of T cell activation through inhibitory phosphorylation of LCK, so inhibitors of CSK are of interest as potential immuno-oncology agents. Screening of an internal kinase inhibitor collection identified pyridazinone lead 1, and a series of modifications led to optimized compound 13. Compound 13 showed potent activity in biochemical and cellular assays in vitro and demonstrated the ability to increase T cell proliferation induced by T cell receptor signaling. Compound 13 gave extended exposure in mice upon oral dosing and produced a functional response (decrease in LCK phosphorylation) in mouse spleens at 6 h post dose.

BackgroundProtein kinases and phosphatases regulate protein phosphorylation, a critical means of modulating protein function, stability and localization. The identification of functional networks for protein phosphatases has been slow due to their redundant nature and the lack of large-scale analyses. We hypothesized that a genome-scale analysis of genetic interactions using the Synthetic Genetic Array could reveal protein phosphatase functional networks. We apply this approach to the conserved type 1 protein phosphatase Glc7, which regulates numerous cellular processes in budding yeast.ResultsWe created a novel glc7 catalytic mutant (glc7-E101Q). Phenotypic analysis indicates that this novel allele exhibits slow growth and defects in glucose metabolism but normal cell cycle progression and chromosome segregation. This suggests that glc7-E101Q is a hypomorphic glc7 mutant. Synthetic Genetic Array analysis of glc7-E101Q revealed a broad network of 245 synthetic sick/lethal interactions reflecting that many processes are required when Glc7 function is compromised such as histone modification, chromosome segregation and cytokinesis, nutrient sensing and DNA damage. In addition, mitochondrial activity and inheritance and lipid metabolism were identified as new processes involved in buffering Glc7 function. An interaction network among 95 genes genetically interacting with GLC7 was constructed by integration of genetic and physical interaction data. The obtained network has a modular architecture, and the interconnection among the modules reflects the cooperation of the processes buffering Glc7 function.ConclusionWe found 245 genes required for the normal growth of the glc7-E101Q mutant. Functional grouping of these genes and analysis of their physical and genetic interaction patterns bring new information on Glc7-regulated processes.