국내에서 발생하는 고병원성 조류인플루엔자 바이러스를 분리하여 해당 바이러스의 HA 유전자의 염기서열이다. 해당 유전자 정보를 이용하여 다양한 연구에 활용이 가능할 것으로 판단한다.

국내에서 발생하는 고병원성 조류인플루엔자 바이러스를 분리하여 해당 바이러스의 HA 유전자의 염기서열이다. 해당 유전자 정보를 이용하여 다양한 연구에 활용이 가능할 것으로 판단한다.

A compilation of previously published results exploring the pathogenesis of avian influenza viruses in wild avian species in North America.

Data set containing avian influenza A virus (IAV) sampling information for Emperor Geese in Alaska, 2015-2017. The data are in three tables: 1) collection data and IAV screening results from fecal samples at several sites in southwestern Alaska, 2) results of blocking enzyme-linked immunosorbent assay (bELISA) tests for IAV antibodies in blood serum collected from nesting female Emperor geese near the Manokinak River on the Yukon-Kuskokwim River Delta, and 3) results of influenza virus microneutralization assays to test for the specific IAV subtypes in the Manokinak samples.

Data from influenza A virus (IAV) infected ferrets (Mustela putorius furo) provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard animal model can recapitulate many clinical signs of infection present in IAV-infected humans, support virus replication of human and zoonotic strains without prior adaptation, and permit evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 728 ferrets inoculated with 126 unique IAV, conducted by a single research group (NCIRD/ID/IPB/Pathogenesis Laboratory Team) under a uniform experimental protocol. This collection of morbidity, mortality, and viral titer data represents the largest publicly available dataset to date of in vivo-generated IAV infection outcomes on a per-individual ferret level. Published Data Descriptor for more information: Kieran TJ, Sun X, Creager HM, Tumpey TM, Maine TR, Belser JA. 2024. An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets. Sci Data 11, 510. https://doi.org/10.1038/s41597-024-03256-6 Additional publications using and describing data: Kieran TJ, Sun X, Maines TR, Beauchemin CAA, Belser JA. 2024. Exploring associations between viral titer measurements and disease outcomes in ferrets inoculated with 125 contemporary influenza A viruses. J Virol98:e01661-23.https://doi.org/10.1128/jvi.01661-23 Belser JA, Kieran TJ, Mitchell ZA, Sun X, Mayfield K, Tumpey TM, Spengler JR, Maines TR. 2024. Key considerations to improve the normalization, interpretation and reproducibility of morbidity data in mammalian models of viral disease. Dis Model Mech; 17 (3): dmm050511. doi: https://doi.org/10.1242/dmm.050511 Kieran TJ, Sun X, Maines TR, Belser JA. 2024. Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data. Communications Biology 7, 927. https://doi.org/10.1038/s42003-024-06629-0

,The dataset contains measurements from a swine research study evaluating for biomarkers with influenza A vaccine associated enhanced respiratory disease. Hematology, plasma chemistry, serum antibody, and acute phase proteins in blood and viral titers in nasal swabs were evaluated over five days following infection. Additionally at 5 days post infection tissues were evaluated for lesions and bronchoalveolar lavage fluid collected for cytokine and viral assessment to develop a panel of potential biomarkers.,

,Influenza A virus in swine hemagglutinin (HA) gene sequence data for 9 virus strains.,,

Information about retroviruses and specialized tools for the analysis of retroviral proteins and genomes. The tools on this page aid in the identification, study and analysis of retroviral genomes and proteins. For instance, the HIV, human interaction database catalogs and organizes published data in peer-reviewed journals regarding HIV-1 and human protein interactions. Several links external to NCBI are also included for the purposes of education, research and health-related matters. These include links to the CDC, the Retroviruses textbook and other informative sites.

,The Influenza Research Database (IRD) serves as a public repository and analysis platform for flu sequence, experiment, surveillance and related data.,

This dataset contains the following files for California influenza surveillance data: 1) Outpatient Influenza-like Illness Surveillance Data by Region and Influenza Season from volunteer sentinel providers; 2) Clinical Sentinel Laboratory Influenza and Other Respiratory Virus Surveillance Data by Region and Influenza Season from volunteer sentinel laboratories; and 3) Public Health Laboratory Influenza Respiratory Virus Surveillance Data by Region and Influenza Season from California public health laboratories. The Immunization Branch at the California Department of Public Health (CDPH) collects, compiles and analyzes information on influenza activity year-round in California and produces a weekly influenza surveillance report during October through May. The California influenza surveillance system is a collaborative effort between CDPH and its many partners at local health departments, public health and clinical laboratories, vital statistics offices, healthcare providers, clinics, emergency departments, and the Centers for Disease Control and Prevention (CDC). California data are also included in the CDC weekly influenza surveillance report, FluView, and help contribute to the national picture of Influenza activity in the United States. The information collected allows CDPH and CDC to: 1) find out when and where influenza activity is occurring; 2) track influenza-related illness; 3) determine what influenza viruses are circulating; 4) detect changes in influenza viruses; and 5) measure the impact influenza is having on hospitalizations and deaths.