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Antibodies are widely used as research tools or therapeutic agents. Knowing the sequences of the variable regions of an antibody─both the heavy chain and the light chain─is a prerequisite for the production of recombinant antibodies. Mass spectrometry-based de novo sequencing is a frequently used, and sometimes the only approach to gaining this information. Here, we describe a workflow that enables accurate sequence determination of monoclonal antibodies based on mass spectrometry data and freely available software tools. This workflow, which we developed using a homemade anti-FLAG monoclonal antibody as a reference sample, achieved 100% accuracy of the variable regions with clear distinction between leucine (L) and isoleucine (I). Using this workflow, we successfully decoded a monoclonal anti-HA antibody, for which we had no prior knowledge of its sequence. Based on the de novo sequencing result, we generated a recombinant anti-HA antibody, and demonstrated that it has the same specificity, sensitivity, and affinity as the commercial antibody.
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http://dx.doi.org/10.1021/acs.jproteome.5c00210 | DOI Listing |
Pediatr Blood Cancer
September 2025
Nuffield Department of Surgical Sciences, Oxford University, Oxford, UK.
Background: Local control strategies in pediatric oncology are guided by disease-specific considerations. Effective communication of the goals of surgical procedure and associated intraoperative events plays a crucial role in shaping subsequent treatment decisions. However, accurately and comprehensively documenting these findings remains challenging, with considerable variability across different tumor types.
View Article and Find Full Text PDFNihon Eiseigaku Zasshi
September 2025
Department of Hygiene, Public Health and Preventive Medicine, Showa Medical University School of Medicine, Tokyo, Japan.
Objective: In this study, we aimed to examine the relationship between the Eating Assessment Tool-10 (EAT10) score, a screening index for dysphagia, and the Epworth Sleepiness Scale (ESS) score, which evaluates daytime sleepiness in Japanese workers.
Method: A cross-sectional study of 496 workers (454 men and 42 women) at two business locations in Japan was conducted from November 2021 to June 2022. Dysphagia was assessed using the score of EAT10, a self-administered questionnaire.
Nihon Koshu Eisei Zasshi
September 2025
Graduate School of Nursing Science, St. Luke's International University.
Objectives This study aimed to determine how turnover intentions among public health nurses have changed following their coronavirus disease 2019 (COVID-19) response compared to 10 years ago, using propensity score matching.Methods As part of the Committee on Public Health Nursing's 2022/2023 activities, we conducted a repeated cross-sectional survey among public health nurses based on the Job Demands-Resources Model, a theoretical framework for turnover intentions. We collected cross-sectional observational data from periods before and after the COVID-19 outbreak.
View Article and Find Full Text PDFNihon Koshu Eisei Zasshi
September 2025
Department of Public Health Nursing, Mie University Graduate School of Medicine.
Objective Enhancing the practical competencies of novice public health nurses is urgently needed, and the identification of organizational factors that management-level public health nurses can improve is crucial for effective human resource development within organizations. This study aimed to explore the challenges and organizational factors perceived by management-level public health nurses when developing 10 types of practical competencies for their novice peers.Methods A self-administered questionnaire survey was conducted via postal mail or the Internet in November 2023, targeting five senior management-level public health nurses in each of the 210 municipalities across seven prefectures in the Tokai-Hokuriku region of Japan.
View Article and Find Full Text PDFAnal Chim Acta
November 2025
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, PR China; Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, Zhejiang, 313001, PR China; Laboratory for Microwave Spatial Inte
Background: X-ray fluorescence (XRF) technology is a promising method for estimating the metal element content in ores, which helps in understanding ore composition and optimizing mining and processing strategies. However, due to the presence of a large number of redundant features in XRF spectra, traditional quantitative analysis models struggle to effectively capture the nonlinear relationship between element concentration and spectral information of XRF, making it more difficult to accurately predict metal element concentrations. Thus, analyzing ore element concentrations by XRF remains a significant challenge.
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