Developing Heparan Sulfate Glycan Array

这项SBIR第二阶段的建议旨在发展微阵列技术，以研究 硫酸乙酰肝素（HS）与蛋白质之间的相互作用。HS是高度硫酸化的 多糖具有广泛的生物学功能。有很强 研究界对高通量方法研究结合的需求 HS和蛋白质之间的关系。在先前资助的I期研究期间， （R41GM123792），Glycan Therapeutics开发并推出了一种试点HS 微阵列服务。STTR赠款的结果清楚地表明， 研究团体非常欣赏方便可靠的HS微阵列 的服务.这第二阶段的申请是集中在扩展的HS微阵列 的服务. 目的1是将HS寡糖库从95个结构扩充到250个结构。 在微阵列上的大量HS寡糖将增强其在微阵列上表达的能力。 研究HS糖序列的功能与结构之间的关系。 目标2将开发一种生物信息学方法， 基于微阵列数据。生物信息学方法有望预测额外的 可能与靶蛋白相互作用的结构。一个精简的网站将简化 为最终用户提供数据呈现，以获取数据，而没有技术复杂性。我们 成功将带来一个方便和可靠的研究工具， 糖科学

This SBIR phase II proposal is aimed at developing microarray technology to study the interactions between heparan sulfate (HS) and proteins. HS is a highly sulfated polysaccharide displaying a wide range of biological functions. There is a strong demand in the research community for a high throughput method to study the binding between HS and proteins. During the previously funded phase I study (R41GM123792), Glycan Therapeutics has developed and launched a pilot HS microarray service. The outcome from the STTR grant clearly demonstrates that the research community greatly appreciates a convenient and reliable HS microarray service. This phase II application is focused on the expansion of the HS microarray service. Aim 1 is designed to expand the HS oligosaccharide library from 95 to 250 structures. A larger number of HS oligosaccharides on the microarray will enhance its ability to study the relationship between the function and structure of HS saccharide sequences. Aim 2 will develop a bioinformatic approach to structurally triage the oligosaccharides based on microarray data. The bioinformatic method is expected to predict additional structures that may interact with the target proteins. A streamlined website will simplify data presentation for end users to acquire the data without technical complexity. Our success will lead to a convenient and reliable research tool for advancing glycosciences.