Development of anti-Aspergillus single chain Abs as serum and imaging diagnostics

开发抗曲霉单链抗体作为血清和成像诊断

基本信息

  • 批准号:
    8413658
  • 负责人:
  • 金额:
    $ 46.25万
  • 依托单位:
  • 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:
    2010-01-01 至 2015-02-28
  • 项目状态:
    已结题

项目摘要

Project Summary Invasive aspergillosis (IA) is the most common filamentous fungal infection in immunocompromised patients. Mortality in patients diagnosed with this condition ranges from 70% to 90% at one year. Current methods to diagnose IA include imaging techniques and the detection of antigens, anti-Aspergillus antibodies, or Aspergillus nucleic acids. Unfortunately, current tests have only a poor to moderate accuracy for the diagnosis of invasive aspergillosis in immunocompromised patients. Here, we propose to develop highly sensitive and specific recombinant anti-aspergillus single-chain antibodies (scFvs) and using these as the basis for new and accurate diagnostic assays. In the R21 portion of this grant, our goal is to generate high affinity monomeric or multimeric aspergillus-specific scFvs and develop these reagents to the extent that their utility as potential diagnostics is demonstrated. In Aim 1, we will identify aspergillus- specific phage scFv clones by screening na¿ve human scFv phage libraries. In Aim 2, we will identify scFvs that detect circulating aspergillus antigens. In Aim 3, we will express and purify these clones as monomeric scFvs and various multimeric constructs and validate their binding activities. In Aim 3, we will identify scFv pairs that can be used as capture and detection reagents for ELISA assays and diagnostic Ab arrays. In Aim 4, we will generate radiolabeled aspergillus-binding reagents and identify those with the highest affinity, stability, and target density. The R33 portion of this grant will involve three aspects. First, we will improve the sensitivity and specificity of our recombinant antibodies by generating and screening randomly mutated variants of these antibodies. Second, we will development these recombinant antibodies as serum diagnostics using either standard ELISA assays or antibody arrays. Third, we will develop methods to detect Aspergillus infection via the use of recombinant antibody imaging.
项目总结

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)

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MICHAEL D GUNN其他文献

MICHAEL D GUNN的其他文献

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{{ truncateString('MICHAEL D GUNN', 18)}}的其他基金

Development of point-of-care testing for Lassa and other hemorrhagic fever arenaviruses
开发拉沙病毒和其他出血热沙粒病毒的即时检测
  • 批准号:
    10656548
  • 财政年份:
    2022
  • 资助金额:
    $ 46.25万
  • 项目类别:
Generation of antibodies specific for optimal non-HRP2 malaria diagnostic antigens
生成最佳非 HRP2 疟疾诊断抗原的特异性抗体
  • 批准号:
    10092930
  • 财政年份:
    2020
  • 资助金额:
    $ 46.25万
  • 项目类别:
Generation of antibodies specific for optimal non-HRP2 malaria diagnostic antigens
生成最佳非 HRP2 疟疾诊断抗原的特异性抗体
  • 批准号:
    9896170
  • 财政年份:
    2020
  • 资助金额:
    $ 46.25万
  • 项目类别:
Project 2: A Novel Cellular Tumor Vaccine Strategy for Glioblastoma
项目 2:针对胶质母细胞瘤的新型细胞肿瘤疫苗策略
  • 批准号:
    10246886
  • 财政年份:
    2018
  • 资助金额:
    $ 46.25万
  • 项目类别:
Project 2: A Novel Cellular Tumor Vaccine Strategy for Glioblastoma
项目 2:针对胶质母细胞瘤的新型细胞肿瘤疫苗策略
  • 批准号:
    10477339
  • 财政年份:
    2018
  • 资助金额:
    $ 46.25万
  • 项目类别:
Project 2: A Novel Cellular Tumor Vaccine Strategy for Glioblastoma
项目 2:针对胶质母细胞瘤的新型细胞肿瘤疫苗策略
  • 批准号:
    10006178
  • 财政年份:
    2018
  • 资助金额:
    $ 46.25万
  • 项目类别:
Generation of Zika virus-specific recombinant antibodies
寨卡病毒特异性重组抗体的产生
  • 批准号:
    9226804
  • 财政年份:
    2016
  • 资助金额:
    $ 46.25万
  • 项目类别:
Generation of Zika virus-specific recombinant antibodies
寨卡病毒特异性重组抗体的产生
  • 批准号:
    9331436
  • 财政年份:
    2016
  • 资助金额:
    $ 46.25万
  • 项目类别:
A novel cellular tumor vaccine strategy for mutant IDH1 glioma
针对突变 IDH1 神经胶质瘤的新型细胞肿瘤疫苗策略
  • 批准号:
    10248330
  • 财政年份:
    2014
  • 资助金额:
    $ 46.25万
  • 项目类别:
A novel cellular tumor vaccine strategy for mutant IDH1 glioma
针对突变 IDH1 神经胶质瘤的新型细胞肿瘤疫苗策略
  • 批准号:
    10248318
  • 财政年份:
    2014
  • 资助金额:
    $ 46.25万
  • 项目类别:

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