Development of fluorescence-based receptor binding assays for the detection

开发基于荧光的受体结合检测方法

基本信息

  • 批准号:
    8783099
  • 负责人:
  • 金额:
    $ 22.44万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-08-01 至 2016-01-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Harmful algal blooms (HABs) are becoming frequent occurrences off the coasts of the United States, particularly in coastal waters of New England, the Gulf of Mexico, and the Pacific Ocean. Historically, HABs have been associated with fish kills and marine mammal mortalities; however, their effects on human health and economic loss due to HAB contamination of seafood are becoming more prevalent, with conservative estimates around $82 million annually. The toxic effects of HABs are precipitated by the production of toxins by various species of marine algae and microorganisms, which are then consumed by filter feeding shellfish and finfish. Accumulation in significant quantities can result in toxicity and death in marine animals and humans. Many of the natural toxins produced by marine phytoplankton are heat and acid stable; therefore, cooking contaminated seafood does not eliminate the risk of poisoning. Currently, US state agencies monitor for the presence of toxic phytoplankton and when the cell count reaches a set level, shellfish beds and finfish are tested for the presence of toxin. When toxin levels reach FDA set limits, fishery resources are closed. However, current methods for detection of marine toxins most commonly associated with seafood poisonings in the US have serious drawbacks, including lengthy assay time, high cost, animal usage, low sensitivity and/or sample throughput, or small working ranges. The purpose of this project is to develop a fluorescence based receptor binding assay (FBA) for the detection of marine neurotoxins that cause paralytic shellfish poisoning (saxitoxin) and amnesic shellfish poisoning (domoic acid). These assays could be used as a rapid test alternative to current methods and they have the advantage of lower cost, high sensitivity and lower animal usage. The FBA will be an improvement over the radioligand receptor binding assay (RBA) for these toxins, as the fluorescence platform does not require the use of radioactivity and is thus safer and far less expensive. Using the same techniques as the FBA that we recently developed for brevetoxins and ciguatoxins, fluorophores will be conjugated to saxitoxin and domoic acid and used as the labeled ligand to examine interactions with the toxins' receptors. As RBAs have been used for a variety of sample matrices and been shown to strongly correlate with the mouse bioassay and HPLC results in samples, FBAs could be the next progressive step in the detection of toxins in seafood or coastal water samples thereby protecting human health and aiding in the monitoring of fishery resources.
描述(由申请人提供):有害藻华(HAB)在美国沿海频繁发生,特别是在新英格兰、墨西哥湾和太平洋的沿海水域。从历史上看,HAB 与鱼类死亡和海洋哺乳动物死亡有关。然而,由于海产品 HAB 污染,它们对人类健康和经济损失的影响变得越来越普遍,保守估计每年约为 8200 万美元。 HAB 的毒性作用是由各种海洋藻类和微生物产生的毒素引起的,然后这些毒素被滤食性贝类和有鳍鱼类消耗。大量积累可能会导致 海洋动物和人类的毒性和死亡。海洋浮游植物产生的许多天然毒素对热和酸稳定;因此,烹饪受污染的海鲜并不能消除中毒的风险。目前,美国国家机构监测有毒浮游植物的存在,当细胞计数达到设定水平时,将对贝类床和鱼类进行毒素检测。当毒素水平达到 FDA 设定的限值时,渔业资源就会被关闭。然而,目前在美国检测与海鲜中毒最常见的海洋毒素的方法具有严重的缺点,包括检测时间长、成本高、动物使用、灵敏度和/或样品通量低或工作范围小。该项目的目的是开发一种基于荧光的受体结合测定(FBA),用于检测导致麻痹性贝类中毒(石房蛤毒素)和遗忘性贝类中毒(软骨藻酸)的海洋神经毒素。这些测定可用作当前方法的快速测试替代方案,并且具有成本较低、灵敏度高和动物使用量较低的优点。 FBA 将是对这些毒素的放射性配体受体结合测定 (RBA) 的改进,因为荧光平台不需要使用放射性,因此更安全且便宜得多。使用与我们最近为短尾毒素和雪卡毒素开发的 FBA 相同的技术,荧光团将与石房蛤毒素和软骨藻酸缀合,并用作标记配体来检查与毒素受体的相互作用。由于 RBA 已用于各种样品基质,并且已被证明与样品中的小鼠生物测定和 HPLC 结果密切相关,因此 FBA 可能是检测海鲜或沿海水样中毒素的下一个进步步骤,从而保护人类健康和协助监测渔业资源。

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 }}

Jennifer Rettew McCall其他文献

Jennifer Rettew McCall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 }}

相似国自然基金

抗原非特异性B细胞进入生发中心并实现亲和力成熟的潜力与调控机制
  • 批准号:
    32370941
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
基于胞内蛋白亲和力标记策略进行新型抗类风湿性关节炎的选择性OGG1小分子抑制剂的发现
  • 批准号:
    82304698
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
面向免疫疗法标志物识别的基于多特征融合的肽与MHC亲和力预测研究
  • 批准号:
    62302277
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
基于计算生物学技术小分子农兽药残留物驼源单域抗体虚拟筛选与亲和力成熟 -以内蒙古阿拉善双峰驼为例
  • 批准号:
    32360190
  • 批准年份:
    2023
  • 资助金额:
    34 万元
  • 项目类别:
    地区科学基金项目
DNA四面体限域辅助的高亲和力铅笔芯微电极用于早期癌症精准诊断研究
  • 批准号:
    22304062
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Neurosteroid and Cholesterol Binding to Integral Membrane Proteins
神经类固醇和胆固醇与整合膜蛋白的结合
  • 批准号:
    10623887
  • 财政年份:
    2023
  • 资助金额:
    $ 22.44万
  • 项目类别:
Nanobody- and mini-G protein-enabled molecular pharmacology of HCAR1
HCAR1 的纳米抗体和迷你 G 蛋白分子药理学
  • 批准号:
    10666999
  • 财政年份:
    2023
  • 资助金额:
    $ 22.44万
  • 项目类别:
Rational Design from Cryo-EM Structures of High-Affinity Ryanodine Receptor Ligands Based on Natural Peptides
基于天然肽的高亲和力兰尼定受体配体的冷冻电镜结构的合理设计
  • 批准号:
    10729564
  • 财政年份:
    2023
  • 资助金额:
    $ 22.44万
  • 项目类别:
Using microfluidics to realize patient-specific anti-cancer immunotherapies
利用微流控实现患者特异性抗癌免疫疗法
  • 批准号:
    10702214
  • 财政年份:
    2023
  • 资助金额:
    $ 22.44万
  • 项目类别:
Leucine as a Probe of Kynurenine-Induced Glutamate and Neural Circuit Dysfunction in Midlife Depression
亮氨酸作为犬尿氨酸诱导的谷氨酸和中年抑郁症神经回路功能障碍的探针
  • 批准号:
    10753154
  • 财政年份:
    2023
  • 资助金额:
    $ 22.44万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了