H Shimazaki, S Fuseya, A Ono, H Ootani, S Mizukado, T Obayashi, N Tanaka, K Kajiyama, M Ashitomi, K Yamauchi, S Yasuda, T Miyabe, K Nakamura, O Segawa, A Kuno, K Sawakami
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Methods An automated analytical system, GlycoBIST1-3, a milli-sized lectin bead array handled by simple robotics, was used. To overcome the above issue, we improved the simplicity and throughput by shortening all reaction processes to be completed around 30 min and adopting a touch panel interface. For an entry of analysis, a “standard tip” comprising 15 lectins with different binding specificities was designed, which can be produced in a thousand scale of the same lot. The utility was evaluated using 12 polyacrylamide (PAA)-glycan conjugates. The reliability was confirmed by repeatability tests and long-term storage tests. A lectin/antibody hybrid bead array using the antibody against a target biomarker was adopted to detect glyco-alteration more precisely. Results Twelve different PAA-glycan conjugated with mono/di-/trisaccharides clearly highlighted distinct binding specificities of 15 lectins in the standard tip. In a within-run reproducibility test, the measurement results indicated that the maximum CV value was 13.5%, and the average CV for the 15 lectins was 8.2%. A day-to-day reproducibility test showed that most lectins had a CV of less than 10% during 5-days. For the first multilectin/antibody beads array application, serum M2BP, whose glycosylation isomer has been used as a liver fibrosis marker approved by the Pharmaceuticals and Medical Devices Agency (PMDA) in Japan 4,5, was verified. M2BP was preliminarily immunoprecipitated from HCC sera and then subjected to the glycan profiling with an automatic 32-min operation for the hybrid beads array. The preliminary data was consistent with that of the lectin microarray, suggesting the possibility of M2BP subtyping. Conclusions A fully automated glyco-analyzer has realized rapid glycan analysis in around 30 minutes with sufficient accuracy and versatility. With the ability to detect glycan qualitative change on a target protein, it would help to detect disease-related glycan alteration more precisely, leading to the development of an effective glyco-biomarker. This rapid and user-friendly system would accelerate glyco-biomarker development, including the validation phase, and could be used in clinical settings in the future. Reference: 1) Shimazaki, H., et al. Anal. Chem. 2019, 91; 11162-11169, 2) Shimazaki, H., et al. Curr. Protoc. Protein Sci. 2020, 99; e103, 3) Fuseya, S., et al. J. Visualized Exp. In press, 4) Kuno, A., et al. Sci. Rep. 2013, 3, 1065. 5) Yamasaki, K., et al. 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In the effort of omics-based biomarker development, lectin microarray (LMA), has accelerated the discovery of glyco-alteration and the candidate verification with high sensitivity in detection and simplicity in sample pretreatment. However, large-scale validation is still challenging because of the manual operation process and chip lot-to-lot variation in LMA. Methods An automated analytical system, GlycoBIST1-3, a milli-sized lectin bead array handled by simple robotics, was used. To overcome the above issue, we improved the simplicity and throughput by shortening all reaction processes to be completed around 30 min and adopting a touch panel interface. For an entry of analysis, a “standard tip” comprising 15 lectins with different binding specificities was designed, which can be produced in a thousand scale of the same lot. The utility was evaluated using 12 polyacrylamide (PAA)-glycan conjugates. The reliability was confirmed by repeatability tests and long-term storage tests. A lectin/antibody hybrid bead array using the antibody against a target biomarker was adopted to detect glyco-alteration more precisely. Results Twelve different PAA-glycan conjugated with mono/di-/trisaccharides clearly highlighted distinct binding specificities of 15 lectins in the standard tip. In a within-run reproducibility test, the measurement results indicated that the maximum CV value was 13.5%, and the average CV for the 15 lectins was 8.2%. A day-to-day reproducibility test showed that most lectins had a CV of less than 10% during 5-days. For the first multilectin/antibody beads array application, serum M2BP, whose glycosylation isomer has been used as a liver fibrosis marker approved by the Pharmaceuticals and Medical Devices Agency (PMDA) in Japan 4,5, was verified. M2BP was preliminarily immunoprecipitated from HCC sera and then subjected to the glycan profiling with an automatic 32-min operation for the hybrid beads array. The preliminary data was consistent with that of the lectin microarray, suggesting the possibility of M2BP subtyping. Conclusions A fully automated glyco-analyzer has realized rapid glycan analysis in around 30 minutes with sufficient accuracy and versatility. With the ability to detect glycan qualitative change on a target protein, it would help to detect disease-related glycan alteration more precisely, leading to the development of an effective glyco-biomarker. This rapid and user-friendly system would accelerate glyco-biomarker development, including the validation phase, and could be used in clinical settings in the future. Reference: 1) Shimazaki, H., et al. Anal. Chem. 2019, 91; 11162-11169, 2) Shimazaki, H., et al. Curr. Protoc. Protein Sci. 2020, 99; e103, 3) Fuseya, S., et al. J. Visualized Exp. In press, 4) Kuno, A., et al. Sci. Rep. 2013, 3, 1065. 5) Yamasaki, K., et al. 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引用次数: 0
摘要
背景与疾病相关的聚糖改变作为一种很有前景的候选生物标记物备受关注,尤其是在与癌症或炎症相关的疾病中。凝集素是一种天然存在的功能蛋白,能识别各种聚糖分子,在聚糖研究领域有着悠久的历史。在基于全息图学的生物标记物开发过程中,凝集素微阵列(LMA)以其高灵敏度的检测和简单的样品预处理加速了糖变的发现和候选物的验证。然而,由于 LMA 的人工操作过程和芯片批次间的差异,大规模验证仍具有挑战性。方法 我们使用了一套自动化分析系统 GlycoBIST1-3,这是一种毫微米级凝集素珠阵列,由简单的机器人操作。为了克服上述问题,我们将所有反应过程缩短到 30 分钟左右完成,并采用了触摸屏界面,从而提高了系统的简易性和吞吐量。在分析条目中,我们设计了由 15 种具有不同结合特异性的凝集素组成的 "标准尖端",该尖端可在同一批次中以千级规模生产。使用 12 种聚丙烯酰胺(PAA)-聚糖共轭物对其实用性进行了评估。重复性测试和长期储存测试证实了其可靠性。采用凝集素/抗体混合珠阵列,使用针对目标生物标记物的抗体,更精确地检测糖变异。结果 12 种不同的 PAA-聚糖与单糖/二糖/三糖共轭,在标准试剂盒中明显突出了 15 种凝集素不同的结合特异性。在运行内重现性测试中,测量结果表明最大 CV 值为 13.5%,15 种凝集素的平均 CV 值为 8.2%。日常重现性测试表明,大多数凝集素在 5 天内的 CV 值小于 10%。首次应用多凝集素/抗体珠阵列验证了血清 M2BP,其糖基化异构体已被日本药品和医疗器械管理局(PMDA)批准用作肝纤维化标志物4,5。从 HCC 血清中初步免疫沉淀了 M2BP,然后对混合珠阵列进行了糖谱分析,操作过程自动进行了 32 分钟。初步数据与凝集素芯片的数据一致,表明有可能对 M2BP 进行亚型分析。结论 全自动糖分析仪实现了 30 分钟左右的快速糖分析,具有足够的准确性和多功能性。该系统能检测目标蛋白质上的聚糖质变,有助于更精确地检测与疾病相关的聚糖改变,从而开发出有效的聚糖生物标记物。这种快速、用户友好的系统将加速糖生物标记物的开发,包括验证阶段,并可在未来用于临床。参考文献1) Shimazaki, H., et al.Chem.2019, 91; 11162-11169, 2) Shimazaki, H., et al. Curr.Protoc.Protein Sci. 2020, 99; e103, 3) Fuseya, S., et al. J. Visualized Exp. In press, 4) Kuno, A., et al. Sci. Rep. 2013, 3, 1065.5) Yamasaki, K., et al. Hepatology 2014, 60, 5,1563-1570
B-017 Benchtop glyco-analyzer: from development of biomarker to potential use in clinical setting
Background Disease-related glycan alteration has attracted much attention as a promising biomarker candidate, especially in cancer or inflammation related diseases. Lectin is a naturally occurring functional protein that recognizes various glycan moieties and has a long history of use in glycan research. In the effort of omics-based biomarker development, lectin microarray (LMA), has accelerated the discovery of glyco-alteration and the candidate verification with high sensitivity in detection and simplicity in sample pretreatment. However, large-scale validation is still challenging because of the manual operation process and chip lot-to-lot variation in LMA. Methods An automated analytical system, GlycoBIST1-3, a milli-sized lectin bead array handled by simple robotics, was used. To overcome the above issue, we improved the simplicity and throughput by shortening all reaction processes to be completed around 30 min and adopting a touch panel interface. For an entry of analysis, a “standard tip” comprising 15 lectins with different binding specificities was designed, which can be produced in a thousand scale of the same lot. The utility was evaluated using 12 polyacrylamide (PAA)-glycan conjugates. The reliability was confirmed by repeatability tests and long-term storage tests. A lectin/antibody hybrid bead array using the antibody against a target biomarker was adopted to detect glyco-alteration more precisely. Results Twelve different PAA-glycan conjugated with mono/di-/trisaccharides clearly highlighted distinct binding specificities of 15 lectins in the standard tip. In a within-run reproducibility test, the measurement results indicated that the maximum CV value was 13.5%, and the average CV for the 15 lectins was 8.2%. A day-to-day reproducibility test showed that most lectins had a CV of less than 10% during 5-days. For the first multilectin/antibody beads array application, serum M2BP, whose glycosylation isomer has been used as a liver fibrosis marker approved by the Pharmaceuticals and Medical Devices Agency (PMDA) in Japan 4,5, was verified. M2BP was preliminarily immunoprecipitated from HCC sera and then subjected to the glycan profiling with an automatic 32-min operation for the hybrid beads array. The preliminary data was consistent with that of the lectin microarray, suggesting the possibility of M2BP subtyping. Conclusions A fully automated glyco-analyzer has realized rapid glycan analysis in around 30 minutes with sufficient accuracy and versatility. With the ability to detect glycan qualitative change on a target protein, it would help to detect disease-related glycan alteration more precisely, leading to the development of an effective glyco-biomarker. This rapid and user-friendly system would accelerate glyco-biomarker development, including the validation phase, and could be used in clinical settings in the future. Reference: 1) Shimazaki, H., et al. Anal. Chem. 2019, 91; 11162-11169, 2) Shimazaki, H., et al. Curr. Protoc. Protein Sci. 2020, 99; e103, 3) Fuseya, S., et al. J. Visualized Exp. In press, 4) Kuno, A., et al. Sci. Rep. 2013, 3, 1065. 5) Yamasaki, K., et al. Hepatology 2014, 60, 5,1563-1570
期刊介绍:
Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM).
The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics.
In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology.
The journal is indexed in databases such as MEDLINE and Web of Science.