MULTIPLEX CHEMICAL TAGS FOR HIGH-THROUGHPUT GLYCAN AND GLYCOPEPTIDE QUANTITATION AND CHARACTERIZATION

用于高通量聚糖和糖肽定量和表征的多重化学标签

基本信息

  • 批准号:
    9755397
  • 负责人:
  • 金额:
    $ 44.02万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-08-03 至 2021-07-31
  • 项目状态:
    已结题

项目摘要

ABSTRACT Gycosylation is one of the most important and most complex protein post-translational modifications. Studies have shown that the glycan moieties on glycoproteins play critical roles in structural modulation and function as specific binding ligands for endogenous receptors or exogenous agents in many biological processes such as protein trafficking, cell−cell signaling, and cellular adhesion. Alterations in glycomic profiles have been linked to various diseases, including cancer, neurodegenerative disorders, immunological diseases and cardiovascular problems. These implications urge researchers to develop innovative cutting-edge bioanalytical platforms for quantitative analysis of glycans to facilitate elucidation of the diverse biological roles of glycans and their roles in human diseases. Advances in mass spectrometry (MS)-based glycoproteomics and glycomics are increasingly enabling qualitative and quantitative approaches for site-specific structural analysis of protein glycosylation. However, quantitative analysis of native glycans remains extremely challenging due to high complexity and diversity of glycan structures, difficulty of synthesizing glycan standards, the relatively low response in MS detection, and the wide dynamic range of glycans in clinically relevant samples. The primary goal of this proposal is to develop several versatile mass defect-based multiplex tags for high- throughput quantification of glycans and glycopeptides in complex biological samples using high resolution mass spectrometry (MS) instrumentation and ion mobility (IM) MS coupled with multidimensional separation techniques. We propose the following specific aims: Specific Aim 1 – To develop and validate novel mass defect-based multiplex dimethyl pyrimidinyl ornithine (DiPyrO) tags for cost effective and high-throughput MS1-level relative quantification of N-glycans released from biological samples. Specific Aim 2 – To design and synthesize multiplex isobaric multiplex reagents for carbonyl containing compounds (SUGAR) tags for high-throughput MS2-level glycan characterization and relative quantitation. Specific Aim 3 – To develop and implement a novel capillary electrophoresis (CE)/porous graphite carbon (PGC)-LC-IM-MS platform for isomer-specific quantitative glycomics and glycoproteomics analysis, particularly α2,3-/α2,6-sialylation ratio analysis, and construction of intact N-glycopetide, N-glycan, and deglycosylated peptide collision cross section (CCS) database facilitated by electron-transfer high energy collision dissociation (EThcD)-enabled highly confident identification. Collectively, our proposed experiments will develop novel enabling tools and will generate cost-effective and novel mass defect-based labeling reagents for robust, sensitive and accurate glycan analysis with enhanced quantitative performance and structural elucidation capabilities. The performance of these tags will be cross validated within the glycoscience community.
摘要

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

LINGJUN LI其他文献

LINGJUN LI的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('LINGJUN LI', 18)}}的其他基金

Creating a region- specific biomolecular atlas of the brain of Alzheimer’s disease
创建阿尔茨海默病大脑区域特定的生物分子图谱
  • 批准号:
    10516443
  • 财政年份:
    2022
  • 资助金额:
    $ 44.02万
  • 项目类别:
Creating a region- specific biomolecular atlas of the brain of Alzheimer’s disease
创建阿尔茨海默病大脑区域特定的生物分子图谱
  • 批准号:
    10698158
  • 财政年份:
    2022
  • 资助金额:
    $ 44.02万
  • 项目类别:
Acquisition of a Dual-Source, High-Performance, Ion Mobility, Quadrupole Time-of-Flight Mass Spectrometry System for Biomedical Research at UW-Madison
威斯康辛大学麦迪逊分校采购双源、高性能、离子淌度、四极杆飞行时间质谱系统用于生物医学研究
  • 批准号:
    10177384
  • 财政年份:
    2021
  • 资助金额:
    $ 44.02万
  • 项目类别:
MULTIPLEX CHEMICAL TAGS FOR HIGH-THROUGHPUT GLYCAN AND GLYCOPEPTIDE QUANTITATION AND CHARACTERIZATION
用于高通量聚糖和糖肽定量和表征的多重化学标签
  • 批准号:
    9982677
  • 财政年份:
    2018
  • 资助金额:
    $ 44.02万
  • 项目类别:
DiLeu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer’s disease
DiLeu 多重定量用于阿尔茨海默病生物标志物的发现和验证
  • 批准号:
    10586449
  • 财政年份:
    2018
  • 资助金额:
    $ 44.02万
  • 项目类别:
A novel multi-faceted method for large-scale characterization and relative quantitation of citrullinated proteins for biological samples and its application to Alzheimer's disease
一种新的多方面方法,用于生物样品中瓜氨酸蛋白的大规模表征和相对定量及其在阿尔茨海默病中的应用
  • 批准号:
    9763403
  • 财政年份:
    2018
  • 资助金额:
    $ 44.02万
  • 项目类别:
Mass Defect-based Chemical Tags for Multiplex Glycan Quantitation
用于多重聚糖定量的基于质量缺陷的化学标签
  • 批准号:
    9352747
  • 财政年份:
    2016
  • 资助金额:
    $ 44.02万
  • 项目类别:
TR&D 1 Isobaric Mass Tags for Ultra-Plexed Protein Quantification p. 398
TR
  • 批准号:
    8998784
  • 财政年份:
    2016
  • 资助金额:
    $ 44.02万
  • 项目类别:
National Center for Quantitative Biology of Complex Systems
国家复杂系统定量生物学中心
  • 批准号:
    10426384
  • 财政年份:
    2016
  • 资助金额:
    $ 44.02万
  • 项目类别:
National Center for Quantitative Biology of Complex Systems
国家复杂系统定量生物学中心
  • 批准号:
    10688029
  • 财政年份:
    2016
  • 资助金额:
    $ 44.02万
  • 项目类别:

相似海外基金

More sustainable biocatalytic imine reductions to chiral amines with hydrogen-driven NADPH recycling operated in batch and continuous flow
通过批量和连续流操作的氢驱动 NADPH 回收,更可持续地生物催化亚胺还原为手性胺
  • 批准号:
    2889869
  • 财政年份:
    2023
  • 资助金额:
    $ 44.02万
  • 项目类别:
    Studentship
Organoborane-catalysed approaches to biologically active amines
有机硼烷催化制备生物活性胺的方法
  • 批准号:
    EP/Y00146X/1
  • 财政年份:
    2023
  • 资助金额:
    $ 44.02万
  • 项目类别:
    Research Grant
Transforming Amines into Complex Polycyclic Molecules and Bioactive Natural Products
将胺转化为复杂的多环分子和生物活性天然产物
  • 批准号:
    2247651
  • 财政年份:
    2023
  • 资助金额:
    $ 44.02万
  • 项目类别:
    Standard Grant
Ti-catalyzed cascading hydroaminoalkylation as a route to complex functionalized amines
Ti 催化级联氢氨基烷基化作为制备复杂官能化胺的途径
  • 批准号:
    10750347
  • 财政年份:
    2023
  • 资助金额:
    $ 44.02万
  • 项目类别:
New Photocatalytic C-C Bond-Forming Reactivity of Unprotected Primary Amines
未受保护伯胺的新光催化 C-C 键形成反应
  • 批准号:
    EP/X026566/1
  • 财政年份:
    2023
  • 资助金额:
    $ 44.02万
  • 项目类别:
    Research Grant
Nickel Cross-Coupling Cascades with α-Heteroatom Radicals to Prepare Sterically Hindered Alcohols and Amines
镍与α-杂原子自由基交叉偶联级联制备位阻醇和胺
  • 批准号:
    10604535
  • 财政年份:
    2023
  • 资助金额:
    $ 44.02万
  • 项目类别:
Mining the air for amines
开采空气中的胺
  • 批准号:
    2752688
  • 财政年份:
    2022
  • 资助金额:
    $ 44.02万
  • 项目类别:
    Studentship
Towards a better understanding of the effect of the pentafluorosulfanyl group on the lipophilicity and acid/base properties of alcohols and amines
更好地了解五氟硫基对醇和胺的亲脂性和酸/碱性质的影响
  • 批准号:
    571856-2021
  • 财政年份:
    2022
  • 资助金额:
    $ 44.02万
  • 项目类别:
    Alliance Grants
Development of Strategies for the Enantioselective Synthesis of Heterocycles and Acyclic Amines
杂环和无环胺对映选择性合成策略的发展
  • 批准号:
    10656344
  • 财政年份:
    2022
  • 资助金额:
    $ 44.02万
  • 项目类别:
Pd-Catalyzed C(sp3)-H Functionalizations Directed by Free Alcohols and Boc-Protected Amines
由游离醇和 Boc 保护的胺引导的 Pd 催化 C(sp3)-H 官能化
  • 批准号:
    10606508
  • 财政年份:
    2022
  • 资助金额:
    $ 44.02万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了