Publications by authors named "A Harazono"

Siglec-7, an inhibitory receptor expressed on natural killer (NK) cells, recognizes sialic acid-containing glycans. However, the ligand glycan structures of Siglec-7 and its carrier proteins have not been comprehensively investigated. Here, we identified four sialyltransferases that are used for the synthesis of ligand glycans of Siglec-7 and two ligand O-glycan-carrier proteins, PODXL and MUC13, using a colon cancer line.

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In this study, we conducted a collaborative study on the classification between silicone oil droplets and protein particles detected using the flow imaging (FI) method toward proposing a standardized classifier/model. We compared four approaches, including a classification filter composed of particle characteristic parameters, principal component analysis, decision tree, and convolutional neural network in the performance of the developed classifier/model. Finally, the points to be considered were summarized for measurement using the FI method, and for establishing the classifier/model using machine learning to differentiate silicone oil droplets and protein particles.

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Flow imaging (FI) has emerged as a powerful tool to evaluate insoluble particles derived from protein aggregates as an orthogonal method to light obscuration (LO). However, few reports directly compare the FI and LO method in the size and number of protein particles in commercially available therapeutic protein injections. In this study, we measured the number of insoluble particles in several therapeutic protein injections using both FI and LO, and characterized these particles to compare the analytical performance of the methods.

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As reported in the previous commentary (Ishii-Watabe et al., J Pharm Sci 2017), the Japanese biopharmaceutical research group is promoting collaborative multilaboratory studies to evaluate and standardize new methodologies for biopharmaceutical characterization and quality control. We have conducted the studies and held 2 annual meetings in 2018 and 2019.

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Article Synopsis
  • * Seventy-six laboratories from various sectors around the world participated, submitting 103 reports using different analytical methods to examine glycan distributions.
  • * The study revealed significant diversity in results, with up to 48 glycan compositions identified by individual labs, highlighting the need for standardization in glycosylation analysis methods.
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