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Supporting data for "Investigation of Multiple Antivirals against SARS-CoV-2 and Influenza Infections"

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DataCite Commons2025-10-16 更新2026-05-03 收录
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https://datahub.hku.hk/articles/dataset/Supporting_data_for_Investigation_of_Multiple_Antivirals_against_SARS-CoV-2_and_Influenza_Infections_/30281350/1
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资源简介:
This study aims to evaluate the efficacy of multiple antivirals against SARS-CoV-2 and influenza <i>in vitro</i> and in animal models. The results were primarily evaluated using several indicators, including viral load and titer, cell protection, animal survival rate, viral replication in animal tissues, and organ damage. The methods used to determine the antiviral effect included the MTT method to assess cell protection, plaque assay/TCID50 assay, and RT-qPCR to measure the virus titer and viral load, respectively. The investigation of seasonal influenza also included the NA inhibition assay and genetic sequencing of neuraminidase (NA) and hemagglutinin (HA) to assess viral mutations. The results also included histological testing to assess the organ damage in animals, as well as immunofluorescence images to evaluate the level of virus replication in cells and animals.The datasets include three folders: numerical data, histopathological images, and immunofluorescence images. The numerical data includes data used to analyze results, such as the 50% effective concentration (EC50), viral replication, and viral activity, as well as to generate statistical figures and tables. Histopathological images mainly refer to the results observed under the microscope after H&amp;E staining of animal tissues, which are used to assess the tissue damage post-infection. The immunofluorescence images were used to assess the extent of infection in cells and animal tissues.
提供机构:
HKU Data Repository
创建时间:
2025-10-16
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