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Rapid SARS-CoV-2 Detection Using Amplicon Templated Reporter Enzyme Assembly

Rapid SARS-CoV-2 Detection Using Amplicon Templated Reporter Enzyme Assembly
使用扩增子模板报告酶组装快速检测 SARS-CoV-2
批准号:
10438883
负责人:
Brian Patrick Callahan
金额:
$7.85万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-07-01 至 2024-06-30

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英文摘要
ABSTRACT We are proposing to pilot test a new enzyme biosensor technology for the purpose of enhancing isothermal RNA amplification assays for SARS-CoV-2. Our overarching goal is to validate this technology, called DETECT, as biomolecular tool to increase the sensitivity, specificity, and speed of SARS-CoV-2 testing. DETECT is based on a modified split luciferase enzyme complementation assay. Instead of the standard bait and prey fused protein constructs, we connect two non-interacting luciferase fragments to SARS-CoV-2 oligonucleotide probes. Conjugation of the luciferase fragments to the oligonucleotides uses a chemi-enzymatic method developed in the investigator's lab. The oligonucleotides are designed to anneal to adjacent segments in a unique SARS-CoV-2 amplicon. With samples containing the amplicon, the split luciferase fragments are brought together through base pairing of their attached oligonucleotides with the SARS-CoV-2 amplicon. Molecular assembly reconstitutes functional luciferase from the two fragments, enabling robust light output. In preliminary experiments, we validate the central and novel concept of DETECT: protein fragment complementation via nucleic acid base pairing. In controls where base pairing of the oligonucleotides is blocked, either by exonuclease pretreatment or by competitor oligonucleotide, we observe luminescence readings on par with buffer only samples. By contrast, in experimental samples where oligonucleotide base pairing is supported, we observe luciferase signal that is increased 100- fold over background. These preliminary experiments were carried out with the split luciferase- oligonucleotide conjugates at 25 nM. Over the course of this 2-year project, we propose to evaluate the DETECT system quantitatively for specificity, sensitivity and speed, thereby assessing the clinical potential of this biosensor technology. Although our objective here is diagnosing SARS-CoV-2 infection, the DETECT system is easily re-programmed by changing the oligonucleotide probe sequences. Thus DETECT holds promise as a new and innovative diagnostic platform.
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Rapid SARS-CoV-2 Detection Using Amplicon Templated Reporter Enzyme Assembly
  • 批准号:
    10289105
  • 项目类别:
  • 资助金额:
    $7.85万
  • 财政年份:
    2021
  • 负责人:
    Brian Patrick Callahan
  • 依托单位:
Structural Mechanisms of Hedgehog Autoprocessing in Physiology and Disease
  • 批准号:
    10063481
  • 项目类别:
  • 资助金额:
    $43.35万
  • 财政年份:
    2016
  • 负责人:
    Brian Patrick Callahan
  • 依托单位:
NCI Diversity Fellowship
  • 批准号:
    9902835
  • 项目类别:
  • 资助金额:
    $3.73万
  • 财政年份:
    2016
  • 负责人:
    Brian Patrick Callahan
  • 依托单位:
海外基金