Multi-Site N-glycan mapping study 1: Capillary electrophoresis – laser induced fluorescence

An international team that included 20 independent laboratories from biopharmaceutical companies, universities, analytical contract laboratories and national authorities in the United States, Europe and Asia was formed to evaluate the reproducibility of sample preparation and analysis of N-glycans using capillary electrophoresis of 8-aminopyrene-1,3,6-trisulfonic acid (APTS)-labeled glycans with laser induced fluorescence (CE-LIF) detection (16 sites) and ultra highperformance liquid chromatography (UHPLC, 12 sites; results to be reported in a subsequent publication). All participants used the same lot of chemicals, samples, reagents, and columns/capillaries to run their assays. Migration time, peak area and peak area percent values were determined for all peaks with >0.1% peak area. Our results demonstrated low variability and high reproducibility, both, within any given site as well across all sites, which indicates that a standard N-glycan analysis platform appropriate for general use (clone selection, process development, lot release, etc.) within the industry can be established

Rapid Magnetic Bead Based Sample Preparation for Automated and High Throughput N-Glycan Analysis of Therapeutic Antibodies

Full automation to enable high throughput N-glycosylation profiling and sequencing with good reproducibility is vital to fulfill the contemporary needs of the biopharmaceutical industry and requirements of national regulatory agencies. The most prevalently used glycoanalytical methods of capillary electrophoresis and hydrophilic interaction liquid chromatography, while very efficient, both necessitate extensive sample preparation and cleanup, including glycoprotein capture, N-glycan release, fluorescent derivatization, purification, and preconcentration steps during the process. Currently used protocols to fulfill these tasks require multiple centrifugation and vacuum-centrifugation steps, making liquid handling robot mediated automated sample preparation difficult and expensive. In this paper we report on a rapid magnetic bead based sample preparation approach that enables full automation including all the process phases just in a couple of hours without requiring any centrifugation and/or vacuum centrifugation steps. This novel protocol has been compared to conventional glycan sample preparation strategies using standard glycoproteins (IgG, fetuin, and RNase B) and featured rapid processing time, high release and labeling efficiency, good reproducibility, and the potential of easy automation

Measuring the Learning Effectiveness of Two Courses in a Program in Accounting Data and Analytics

Driven by rapid technological innovation, information technology (IT) is expected to significantly alter the way that accountants work. However, both accounting researchers and practitioners have observed a shortage of accounting professionals who currently possess the relevant technology skillsets to exploit technological advances. In response, the School of Accountancy of a Singapore-based university launched a second major program in Accounting Data and Analytics in 2018. In this study, we examine the learning effectiveness of two courses – Business Data Management and Data Modelling & Visualization – offered as part of the program. Overall, our results suggest that the courses are effective in enhancing the learning of participants in the areas of business data management, data modelling, and data visualization. These findings are important to students, educators, and employers

Measuring the learning effectiveness of two courses in a program in accounting data and analytics

Ministry of Education, Singapore under its Academic Research Funding Tier

Here comes the navy, break out the red, white and blue [first line of chorus]

Performance Medium: Piano, Voice and Chord