Glyconjugate Analysis Workshop

糖缀合物分析研讨会

• 批准号: 7167777
• 负责人: VERNON Nye REINHOLD
• 金额: $ 1.2万
• 依托单位: UNIVERSITY OF NEW HAMPSHIRE
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2007-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7167777
• 关键词: bioinformatics; carbohydrate sequence; carbohydrates; glycolipids; glycoproteins; high throughput technology; oligosaccharides; workshop

DESCRIPTION (provided by applicant): Glycobiology has become increasingly important as carbohydrates are found to play important roles in various biological processes such as antibody recognition, cell-cell adhesion, and tumor metastasis. Currently, many diverse methodologies are employed in carbohydrate sequencing. In addition, the notion of how much empirical information is required to determine a structure is still a topic of contentious debate. The purpose of the "Charles Warren Workshop on Glycoconjugate Analysis" is to bring together experts in the field of carbohydrate structural analysis in order to discuss the various methodologies currently in use. The aim of this conference is to provide researchers with sensitive and comprehensive analytical strategies that account for all aspects of oligosaccharide structure. The goal of this conference is to bring unanimity to the diverse methodologies currently employed in carbohydrate sequencing. The growing needs in glycobiology for glycoconjugate structural analysis as well as automation of methods and high throughput analysis make open discussion among experts very timely and important. These discussions among experts in the discipline will hopefully lead to establishment of a working framework and course of action to bring uniformity to the goals and requirements of glycoconjugate structural analysis. To that end, four broad topics of discussion are proposed: detailed structure analysis, high throughput analysis, glycoproteomics and glycolipidomics, and bioinformatics. Discussion sessions will allow experts to compare and contrast different views and methodologies. From these discussions, it is hoped that a comprehensive strategy for carbohydrate sequencing can be formulated.

描述(申请人提供)：糖生物学已变得越来越重要，因为碳水化合物被发现在各种生物过程中发挥重要作用，如抗体识别、细胞-细胞黏附和肿瘤转移。目前，在碳水化合物测序中采用了许多不同的方法。此外，需要多少经验信息才能确定一个结构的概念仍然是一个有争议的话题。“查尔斯·沃伦糖共轭分析研讨会”的目的是将碳水化合物结构分析领域的专家聚集在一起，讨论目前使用的各种方法。这次会议的目的是为研究人员提供灵敏和全面的分析策略，说明寡糖结构的各个方面。这次会议的目标是使目前在碳水化合物测序中采用的不同方法取得一致。糖生物学对糖共轭结构分析的日益增长的需求以及方法的自动化和高通量分析使得专家之间的公开讨论非常及时和重要。该学科专家之间的这些讨论有望导致建立一个工作框架和行动方针，使糖共轭结构分析的目标和要求保持一致。为此，提出了四个广泛的讨论主题：详细结构分析、高通量分析、糖蛋白组学和糖脂组学以及生物信息学。讨论会将允许专家比较和对比不同的观点和方法。通过这些讨论，希望能够制定出一套全面的碳水化合物测序策略。