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High-specificity affinity reagents for N-glycosylation site mapping and glycomics

High-specificity affinity reagents for N-glycosylation site mapping and glycomics
用于 N-糖基化位点定位和糖组学的高特异性亲和试剂
批准号:
8591882
负责人:
ROBERT J WOODS
金额:
$54.77万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2016-08-31

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中文摘要
翻译
描述:聚糖具有几种独特的特性,使其成为疾病生物标志物的理想靶点。首先,聚糖在细胞表面的位置使其成为细胞相互作用的第一个接触点,因此在控制正常代谢过程中至关重要。细胞表面分子也被策略性地暴露以供免疫系统监视,从而允许异常细胞的免疫识别的潜力。其次,在正常状态下不存在或含量低的特定聚糖结构在疾病状态下增殖。最后,糖基化的变化涉及许多蛋白质,包括那些高度丰富的蛋白质。因此,细胞糖基化机制的单一变化可以影响许多不同的糖缀合物。为了有效地利用和发现聚糖疾病标记物,迫切需要新的聚糖特异性试剂。使用计算方法来指导分子进化,碳水化合物加工酶将被转化为高亲和力受体蛋白,这些蛋白保留了酶的天然特异性,但不再具有酶活性。由于这种蛋白质具有凝集素样性质,但来自酶,我们称之为“Lectenz(r)”。 与凝集素和抗体相比,Lectenz(r)作为糖组学试剂具有几个潜在的优势,包括特异性的精确定义,单价形式的制备容易,以及(对于人类同源物)体内毒性最小。在该提案中,肽N-聚糖酶F(PNGase F)碳水化合物加工酶将转化为针对含有天冬酰胺连接的碳水化合物链的肽和蛋白质的高特异性亲和试剂。基于PNGase F的Lectenz(r)可通过样品富集直接用于满足糖组学/蛋白质组学分析的需求,从而促进糖基化位点定位。糖基化位点定位目前进行起来极其繁琐,但在充分表征和利用聚糖作为特定疾病状态的标志物方面至关重要。工程化Lectenz(r)的主要优点是Lectenz(r)对确定的碳水化合物序列具有特异性,并且与抗体相反,将在广泛的聚糖背景下识别该序列。此外,与植物凝集素相反,工程Lectenz(r)衍生自具有精致底物特异性和低毒性的酶。最后,由于已知有大量的碳水化合物加工酶,因此可以采用Lectenz技术(专利申请中)来组装为表征、监测或检测特定聚糖而定制的亲和试剂组。
英文摘要
DESCRIPTION: Glycans have several distinct properties that make them excellent targets for disease biomarkers. Firstly, the location of the glycans on the cell surface makes them the first point of contact of cellular interactions and thus crucial in the control of normal metabolic processes. Cell surface molecules are also strategically exposed for surveillance by the immune system allowing for the potential of immune recognition of abnormal cells. Secondly, specific glycan structures that are not present, or are in low amounts, in normal states proliferate in disease states. And lastly, changes in glycosylation involve many proteins, including those that are highly abundant. Therefore, a single change in a cell's glycosylation machinery can affect many different glycoconjugates. To effectively employ and discover glycan disease markers new glycan-specific reagents are urgently needed. Using computational methods to guide molecular evolution, carbohydrate-processing enzymes will be converted into high affinity receptor proteins that retain the native specificity of the enzyme, but which no longer have enzyme activity. Because such a protein has lectin-like properties, but is derived from an enzyme, we are calling them " Lectenz(r)". Lectenz(r) have several potential advantages over lectins and antibodies as glycomics reagents, including precise definition of specificity, ease of preparation in a monovalent form, and (for human homologues) minimal in vivo toxicity. In this proposal, the peptide N-glycanase F (PNGase F) carbohydrate-processing enzyme will be converted into a high-specificity affinity reagent for peptides and proteins that contain asparagine-linked carbohydrate chains. The Lectenz(r) based on PNGase F may be employed directly to address the needs of glycomics/proteomics analysis through sample enrichment, thus facilitating glycosylation site-mapping. Glycosylation site mapping is currently extremely tedious to perform and yet is essential in fully characterizing and exploiting glycans as markers of specific disease states. The principle advantages of an engineered Lectenz(r) are that the Lectenz(r) is specific to a defined carbohydrate sequence, and, in contrast to antibodies, will recognize that sequence in a broad range of glycan contexts. Further, in contrast to plant lectins, engineered Lectenz(r) are derived from enzymes that have exquisite substrate specificities and low toxicities. Lastly, as there is an abundance of carbohydrate- processing enzymes known, it is possible to employ the Lectenz(r) technology (patent pending) to assemble panels of affinity reagents tailor-made for characterizing, monitoring or detecting specific glycans.
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Computational tools to aid the design of glycomimetic agents
  • 批准号:
    10477037
  • 项目类别:
  • 资助金额:
    $37.43万
  • 财政年份:
    2020
  • 负责人:
    ROBERT J WOODS
  • 依托单位:
Transitioning GLYCAM-Web to a self-sustaining carbohydrate modeling service
  • 批准号:
    10391344
  • 项目类别:
  • 资助金额:
    $41.53万
  • 财政年份:
    2020
  • 负责人:
    ROBERT J WOODS
  • 依托单位:
Computational tools to aid the design of glycomimetic agents
  • 批准号:
    10245292
  • 项目类别:
  • 资助金额:
    $37.43万
  • 财政年份:
    2020
  • 负责人:
    ROBERT J WOODS
  • 依托单位:
INTEGRATION OF GLYCAM SIMULATIONAL METHODS WITHIN THE CFG
  • 批准号:
    8361795
  • 项目类别:
  • 资助金额:
    $0.18万
  • 财政年份:
    2011
  • 负责人:
    ROBERT J WOODS
  • 依托单位:
海外基金