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Direct sequencing of serum antibodies after infection

Direct sequencing of serum antibodies after infection
感染后血清抗体直接测序
批准号:
9253986
负责人:
Adrian Guthals
金额:
$25.5万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-02-01 至 2018-10-31

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中文摘要
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英文摘要
Project Summary Monoclonal antibodies (mAbs) are a well-validated drug platform with exquisite specificity, diversity and potency. They offer the lowest-risk class of drug for development through licensure and offer great potential for addressing emerging and re-emerging infectious diseases. To be prepared as threats, like Ebola (EBOV), Marburg (MARV), and Zika viruses, continue to emerge or re-emerge, rapid discovery capabilities are a critical element. One of the best current methods for discovery of potent human mAbs is isolation of peripheral B-cells from survivors/sero-positive individuals for single cell sequencing or hybridoma generation. However, peripheral B-cells are not always easy to obtain and only represent a small percentage of the total B-cell population across all bodily tissues. We have developed an antibody discovery technology in which only serum antibodies are required, i.e. mAb sequences against a given antigen can be sequenced de novo from polyclonal antibody (pAb) pools without the need for sequencing of genetic material. We propose to further refine this novel proteomic approach and apply it towards discovery of new antibodies in serum obtained from EBOV survivors. Here IgGs from survivor plasma will be purified by filovirus glycoprotein antigen specificity and sequenced independently of B-cells. Given our preliminary data, these efforts may yield mAbs that are cross-reactive to ZEBOV, SUDV, BDBV, and possibly MARV. Viable mAbs will ultimately be developed to become pan-EBOV (ZEBOV, SUDV, BDBV) and/or pan-filovirus (EBOV, MARV) therapeutic products. But perhaps the most significant contribution of this work will be to further develop our rapid antibody discovery approach, which may impact drug discovery in nearly all sectors of the mAb industry, including infectious disease.
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An adaptive compute solution for characterizing macromolecular complexes by mass spectrometry with electron-based fragmentation
  • 批准号:
    10581698
  • 项目类别:
  • 资助金额:
    $0.0万
  • 财政年份:
    2020
  • 负责人:
    Adrian Guthals
  • 依托单位:
An adaptive compute solution for characterizing macromolecular complexes by mass spectrometry with electron-based fragmentation
  • 批准号:
    10480227
  • 项目类别:
  • 资助金额:
    $86.54万
  • 财政年份:
    2020
  • 负责人:
    Adrian Guthals
  • 依托单位:
Direct Sequencing of Antibodies of the Influenza Immune Response
  • 批准号:
    9409463
  • 项目类别:
  • 资助金额:
    $22.5万
  • 财政年份:
    2017
  • 负责人:
    Adrian Guthals
  • 依托单位:
海外基金