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Developing high-throughput IMS-MS and IMS-IMS-MS techniques for glycomics analysi

开发用于糖组学分析的高通量 IMS-MS 和 IMS-IMS-MS 技术

基本信息

批准号：
8473881
负责人：
DAVID E. CLEMMER
金额：
$ 27.89万
依托单位：
TRUSTEES OF INDIANA UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-06-01 至 2015-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8473881
关键词：
Address Amino Acids Attention Biological Biological Markers Blinded Buffers Carbohydrates Cell physiology Comparative Study Complex Complex Mixtures Control Groups Coupled Data Data Set Development Diagnostic Digestion Dimensions Disease Disease Marker Disease Progression Dysplasia Electrospray Ionization Esophageal Adenocarcinoma Gases Glycoproteins Goals Health Health Status Housing Human Incidence Ions Isomerism Link Mass Spectrum Analysis Methods Molecular Patients Phase Phenotype Physiological Plasma Polysaccharides Population Study Proteins Protocols documentation Research Resolution Role Sampling Shapes Solid Source Spectrometry Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Structure System Techniques Technology Testing Time Tube United States Validation Work base cohort comparative cost design disease phenotype insight ion mobility ionization molecular marker mortality new technology novel strategies polypeptide prototype public health relevance research study two-dimensional

项目摘要

DESCRIPTION (provided by applicant): The increased incidence of Esophageal Adenocarcinoma (EAC) in the United States over the past two decades represents a significant health challenge. This is especially evident considering the high mortality rate of patients who have undergone treatment for EAC. A current goal of scientific research is to identify molecular markers associated with EAC. Considering the multivariate roles of carbohydrates in cellular processes, one field receiving particular attention is glycomics. A limiting factor for comparative glycomics profiling is the myriad glycan structures postulated to exist in biological samples which present challenges for analytical chemists in the form of component resolution and identification. This is especially problematic for mass spectrometry (MS)-based analytical platforms because isomer resolution cannot be achieved with MS alone. Here we propose the use of ion mobility spectrometry (IMS) techniques combined with MS for the rapid characterization of plasma glycan digests. Specifically, multidimensional IMS (IMS-IMS) methods will be developed to provide the highest efficiency characterization of plasma samples. The combination of IMS-IMS with MS allows for rapid resolution of glycan isomers. This enabling technology allows for high-throughput comparison of hundreds of plasma samples necessary for biomarker validation. As part of the research proposed here, the newly developed technology will be applied to biomarker validation of glycan candidates using a population study of 1000 plasma samples. The work proposed here could have tremendous implications for disease diagnostics as well as the ability to track physiological changes associated with disease progression (or regression resulting from therapy). In addition it is possible that the information-rich datasets will also provide clues into molecular causal mechanisms of disease.

描述（由申请人提供）：在过去二十年中，美国食管腺癌（EAC）的发病率增加，这是一个重大的健康挑战。考虑到接受EAC治疗的患者的高死亡率，这一点尤其明显。科学研究的当前目标是鉴定与EAC相关的分子标记。考虑到碳水化合物在细胞过程中的多元作用，一个特别受到关注的领域是糖组学。比较糖组学谱分析的一个限制因素是假定存在于生物样品中的无数聚糖结构，这对分析化学家提出了组分解析和鉴定形式的挑战。这对于基于质谱（MS）的分析平台来说尤其成问题，因为单独使用MS无法实现异构体解析。在这里，我们建议使用离子迁移谱（IMS）技术结合MS的快速表征血浆聚糖酶。具体而言，将开发多维IMS（IMS-IMS）方法，以提供血浆样本的最高效率表征。IMS-IMS与MS的组合允许快速解析聚糖异构体。该技术允许对生物标志物验证所需的数百个血浆样品进行高通量比较。作为本文提出的研究的一部分，新开发的技术将应用于使用1000份血浆样本的人群研究对聚糖候选物进行生物标志物验证。本文提出的工作可能对疾病诊断以及跟踪与疾病进展相关的生理变化（或治疗导致的消退）的能力产生巨大影响。此外，信息丰富的数据集也可能为疾病的分子因果机制提供线索。