Multi-color Mapping of Cancer Molecular Signatures and Tumor microenvironment

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 3R33CA235319-02S1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2019
    2022
  • Known Financial Commitments (USD)

    $80,860
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Jenny J Yang
  • Research Location

    United States of America
  • Lead Research Institution

    Georgia State University
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

AbstractSince the recent identification of a novel coronavirus from the pneumonia outbreak in Wuhan, China, now namedas SARS-CoV-2, the virus has spread globally very rapidly. SARS-CoV-2 is closely related to SARS-CoVemerged in 2003. While there are many factors associated the virus transmission, the pattern of SARS-CoV-2spread is distinctly different from that of SARS-CoV. Evidence shows that there is virus transmission beforeonset of symptoms in patients. Diagnosis of the virus infection is more difficult because the infection of SARS-CoV-2 may be in the lower respiratory track. This proposal takes advantage of our pioneered imaging platformand protein agents to rapid develop pMRI diagnostic imaging with strong translational potential in facilitatingeffective treatment to halt further chronic and pandemic lung disease progression. It is highly transformative andspecifically address the call of proposal for Urgent Supplement using existing imaging modality and MRI andlargely extended its capability. The developed MRI diagnostic imaging with its high resolution, non-radiative, andmuch improved sensitivity than current CT in clinical will significantly facilitate accurate detection of coronavirusinfection in patient and control of Covid-19 and other SARS-like COV infections.