5 datasets found
  1. c

    Data from pathology of Lagovirus europaeus GI.2/RHDV2/b (rabbit hemorrhagic...

    • s.cnmilf.com
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Data from pathology of Lagovirus europaeus GI.2/RHDV2/b (rabbit hemorrhagic disease virus 2) in native North American lagomorphs [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/data-from-pathology-of-lagovirus-europaeus-gi-2-rhdv2-b-rabbit-hemorrhagic-disease-virus-2
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    Rabbit hemorrhagic disease, a notifiable foreign animal disease in the USA, was reported for the first time in wild native North American rabbits and hares in April 2020 in the southwestern USA. Affected species included the Desert Cottontail (Sylvilagus audubonii), Mountain Cottontail (S. nutallii), Black-tailed Jackrabbit (Lepus californicus), and Antelope Jackrabbit (L. alleni). Desert Cottontails (n=7) and Black-tailed Jackrabbits (n=7) collected in April and May 2020 were necropsied at the U.S. Geological Survey National Wildlife Health Center (NWHC) and tested positive for Lagovirus europaeus GI.2, also known as rabbit hemorrhagic disease virus 2 (GI.2/RHDV2/b), by real-time PCR at the U.S. Department of Agriculture’s Foreign Animal Disease Diagnostic Laboratory. Gross and microscopic lesions were similar to those reported in European rabbits (Oryctolagus cuniculus) and other hare (Lepus) species with GI.2/RHDV2/b infection and included epistaxis (12/13; 92%), massive hepatocellular dissociation (14/14; 100%) and necrosis/apoptosis (11/11; 100%), pulmonary congestion (12/12; 100%), edema (12/13; 92%), and hemorrhage (11/12; 92%), and acute renal tubular injury (3/8; 38%). As in previous reports and when compared to historical cases in the NWHC diagnostic database, massive hepatocellular dissociation and necrosis/apoptosis was the most diagnostically distinct finding in GI.2/RHDV2/b-positive rabbits and hares. Based on the apparent susceptibility of North American Sylvilagus and Lepus species to fatal GI.2/RHDV2/b infection, additional work is needed to understand the host range, pathogenicity, and potential population impacts of GI.2/RHDV2/b in North America.

  2. f

    Table_1_An Assessment of Ovarian Cancer Histotypes Across the African...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 8, 2023
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    Sophia H. L. George; Ayodele Omotoso; Andre Pinto; Aisha Mustapha; Alex P. Sanchez-Covarrubias; Usman Aliyu Umar; Ali Bala Umar; Timothy Abiola Oluwasola; Clement Abu Okolo; Umeh Uchenna Anthony; Francis Ikechukwu Ukekwe; Maisaratu A. Bakari; Aminu M. C. Dahiru; Habiba Ibrahim Abdullahi; Bawa Ahmed Abimiku; Aisha Abdurrahman; Asmau Usman; Saad Aliyu Ahmed; Hadiza Abdullahi Usman; Abba Kabir; George Uchenna Eleje; Michael Emeka Chiemeka; Emily Nzeribe; Ikechukwu Nweke; SaiduAbubakar Kadas; Dauda E. Suleiman; Etim Ekanem; Umemmuo Maureen Uche; Jibrin Paul; Uzoma Maryrose Agwu; Felix O. Edegbe; Rose I. Anorlu; Adekunbiola Banjo; Kayode Olusegun Ajenifuja; Adegboyega Adisa Fawole; Ibrahim O. O. Kazeem; Francis Magaji; Olugbenga Silas; Boma Precious Athanasius; Nyengidiki Kennedy Tamunomie; Emem Bassey; Kunle Abudu; Ibrahim G. Ango; Kabiru Abdullahi; Ishak Lawal; Suleiman Aliyu Kabir; Victor Ekanem; Michael Ezeanochie; Usman Rahman Yahaya; Melissa Nicole Castillo; Vishal Bahall; Vikash Chatrani; Ian Brambury; Saida Bowe; Darron Halliday; George Bruney; Raleigh Butler; Camille Ragin; Folakemi Odedina; Srikar Chamala; Matthew Schlumbrecht; Bala Audu (2023). Table_1_An Assessment of Ovarian Cancer Histotypes Across the African Diaspora.docx [Dataset]. http://doi.org/10.3389/fonc.2021.732443.s002
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    docxAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    Frontiers
    Authors
    Sophia H. L. George; Ayodele Omotoso; Andre Pinto; Aisha Mustapha; Alex P. Sanchez-Covarrubias; Usman Aliyu Umar; Ali Bala Umar; Timothy Abiola Oluwasola; Clement Abu Okolo; Umeh Uchenna Anthony; Francis Ikechukwu Ukekwe; Maisaratu A. Bakari; Aminu M. C. Dahiru; Habiba Ibrahim Abdullahi; Bawa Ahmed Abimiku; Aisha Abdurrahman; Asmau Usman; Saad Aliyu Ahmed; Hadiza Abdullahi Usman; Abba Kabir; George Uchenna Eleje; Michael Emeka Chiemeka; Emily Nzeribe; Ikechukwu Nweke; SaiduAbubakar Kadas; Dauda E. Suleiman; Etim Ekanem; Umemmuo Maureen Uche; Jibrin Paul; Uzoma Maryrose Agwu; Felix O. Edegbe; Rose I. Anorlu; Adekunbiola Banjo; Kayode Olusegun Ajenifuja; Adegboyega Adisa Fawole; Ibrahim O. O. Kazeem; Francis Magaji; Olugbenga Silas; Boma Precious Athanasius; Nyengidiki Kennedy Tamunomie; Emem Bassey; Kunle Abudu; Ibrahim G. Ango; Kabiru Abdullahi; Ishak Lawal; Suleiman Aliyu Kabir; Victor Ekanem; Michael Ezeanochie; Usman Rahman Yahaya; Melissa Nicole Castillo; Vishal Bahall; Vikash Chatrani; Ian Brambury; Saida Bowe; Darron Halliday; George Bruney; Raleigh Butler; Camille Ragin; Folakemi Odedina; Srikar Chamala; Matthew Schlumbrecht; Bala Audu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Africa
    Description

    ObjectiveOvarian cancer in Black women is common in many West African countries but is relatively rare in North America. Black women have worse survival outcomes when compared to White women. Ovarian cancer histotype, diagnosis, and age at presentation are known prognostic factors for outcome. We sought to conduct a preliminary comparative assessment of these factors across the African diaspora.MethodsPatients diagnosed with ovarian cancer (all histologies) between June 2016-December 2019 in Departments of Pathology at 25 participating sites in Nigeria were identified. Comparative population-based data, inclusive of Caribbean-born Blacks (CBB) and US-born Blacks (USB), were additionally captured from the International Agency for Research on Cancer and Florida Cancer Data Systems. Histology, country of birth, and age at diagnosis data were collected and evaluated across the three subgroups: USB, CBB and Nigerians. Statistical analyses were done using chi-square and student’s t-test with significance set at p

  3. f

    Table_2_An Assessment of Ovarian Cancer Histotypes Across the African...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 6, 2023
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    Sophia H. L. George; Ayodele Omotoso; Andre Pinto; Aisha Mustapha; Alex P. Sanchez-Covarrubias; Usman Aliyu Umar; Ali Bala Umar; Timothy Abiola Oluwasola; Clement Abu Okolo; Umeh Uchenna Anthony; Francis Ikechukwu Ukekwe; Maisaratu A. Bakari; Aminu M. C. Dahiru; Habiba Ibrahim Abdullahi; Bawa Ahmed Abimiku; Aisha Abdurrahman; Asmau Usman; Saad Aliyu Ahmed; Hadiza Abdullahi Usman; Abba Kabir; George Uchenna Eleje; Michael Emeka Chiemeka; Emily Nzeribe; Ikechukwu Nweke; SaiduAbubakar Kadas; Dauda E. Suleiman; Etim Ekanem; Umemmuo Maureen Uche; Jibrin Paul; Uzoma Maryrose Agwu; Felix O. Edegbe; Rose I. Anorlu; Adekunbiola Banjo; Kayode Olusegun Ajenifuja; Adegboyega Adisa Fawole; Ibrahim O. O. Kazeem; Francis Magaji; Olugbenga Silas; Boma Precious Athanasius; Nyengidiki Kennedy Tamunomie; Emem Bassey; Kunle Abudu; Ibrahim G. Ango; Kabiru Abdullahi; Ishak Lawal; Suleiman Aliyu Kabir; Victor Ekanem; Michael Ezeanochie; Usman Rahman Yahaya; Melissa Nicole Castillo; Vishal Bahall; Vikash Chatrani; Ian Brambury; Saida Bowe; Darron Halliday; George Bruney; Raleigh Butler; Camille Ragin; Folakemi Odedina; Srikar Chamala; Matthew Schlumbrecht; Bala Audu (2023). Table_2_An Assessment of Ovarian Cancer Histotypes Across the African Diaspora.docx [Dataset]. http://doi.org/10.3389/fonc.2021.732443.s003
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Frontiers
    Authors
    Sophia H. L. George; Ayodele Omotoso; Andre Pinto; Aisha Mustapha; Alex P. Sanchez-Covarrubias; Usman Aliyu Umar; Ali Bala Umar; Timothy Abiola Oluwasola; Clement Abu Okolo; Umeh Uchenna Anthony; Francis Ikechukwu Ukekwe; Maisaratu A. Bakari; Aminu M. C. Dahiru; Habiba Ibrahim Abdullahi; Bawa Ahmed Abimiku; Aisha Abdurrahman; Asmau Usman; Saad Aliyu Ahmed; Hadiza Abdullahi Usman; Abba Kabir; George Uchenna Eleje; Michael Emeka Chiemeka; Emily Nzeribe; Ikechukwu Nweke; SaiduAbubakar Kadas; Dauda E. Suleiman; Etim Ekanem; Umemmuo Maureen Uche; Jibrin Paul; Uzoma Maryrose Agwu; Felix O. Edegbe; Rose I. Anorlu; Adekunbiola Banjo; Kayode Olusegun Ajenifuja; Adegboyega Adisa Fawole; Ibrahim O. O. Kazeem; Francis Magaji; Olugbenga Silas; Boma Precious Athanasius; Nyengidiki Kennedy Tamunomie; Emem Bassey; Kunle Abudu; Ibrahim G. Ango; Kabiru Abdullahi; Ishak Lawal; Suleiman Aliyu Kabir; Victor Ekanem; Michael Ezeanochie; Usman Rahman Yahaya; Melissa Nicole Castillo; Vishal Bahall; Vikash Chatrani; Ian Brambury; Saida Bowe; Darron Halliday; George Bruney; Raleigh Butler; Camille Ragin; Folakemi Odedina; Srikar Chamala; Matthew Schlumbrecht; Bala Audu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Africa
    Description

    ObjectiveOvarian cancer in Black women is common in many West African countries but is relatively rare in North America. Black women have worse survival outcomes when compared to White women. Ovarian cancer histotype, diagnosis, and age at presentation are known prognostic factors for outcome. We sought to conduct a preliminary comparative assessment of these factors across the African diaspora.MethodsPatients diagnosed with ovarian cancer (all histologies) between June 2016-December 2019 in Departments of Pathology at 25 participating sites in Nigeria were identified. Comparative population-based data, inclusive of Caribbean-born Blacks (CBB) and US-born Blacks (USB), were additionally captured from the International Agency for Research on Cancer and Florida Cancer Data Systems. Histology, country of birth, and age at diagnosis data were collected and evaluated across the three subgroups: USB, CBB and Nigerians. Statistical analyses were done using chi-square and student’s t-test with significance set at p

  4. R

    Data from: Metagenomic analysis of virome cross-talk between cultivated...

    • entrepot.recherche.data.gouv.fr
    application/gzip
    Updated Jul 25, 2019
    + more versions
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    Yuxin Ma; Armelle Marais; Marie Lefebvre; Chantal Faure; Thierry Candresse; Yuxin Ma; Armelle Marais; Marie Lefebvre; Chantal Faure; Thierry Candresse (2019). Metagenomic analysis of virome cross-talk between cultivated Solanum lycopersicum and wild Solanum nigrum [Dataset]. http://doi.org/10.15454/S486RR
    Explore at:
    application/gzip(224035586), application/gzip(127208800), application/gzip(93449567), application/gzip(113321651), application/gzip(99055539), application/gzip(322384444), application/gzip(173654408), application/gzip(98007115), application/gzip(96670179), application/gzip(118310469), application/gzip(170287944), application/gzip(235005476), application/gzip(397916556), application/gzip(199026760), application/gzip(94610547), application/gzip(102261095), application/gzip(110151843), application/gzip(137005591), application/gzip(143726655), application/gzip(150415673), application/gzip(183979364), application/gzip(113940607), application/gzip(142978224), application/gzip(102178326), application/gzip(123847644), application/gzip(145385697), application/gzip(108665104), application/gzip(119474390), application/gzip(92039947), application/gzip(132298832), application/gzip(143253821), application/gzip(89706557), application/gzip(62139197), application/gzip(134236782), application/gzip(99875040), application/gzip(141924966), application/gzip(162810479), application/gzip(84885955), application/gzip(160863112), application/gzip(56561940)Available download formats
    Dataset updated
    Jul 25, 2019
    Dataset provided by
    Recherche Data Gouv
    Authors
    Yuxin Ma; Armelle Marais; Marie Lefebvre; Chantal Faure; Thierry Candresse; Yuxin Ma; Armelle Marais; Marie Lefebvre; Chantal Faure; Thierry Candresse
    License

    https://spdx.org/licenses/etalab-2.0.htmlhttps://spdx.org/licenses/etalab-2.0.html

    Description

    We selected tomato (Solanum lycopersicum) and european black nightshade (Solanum nigrum) as a pair of related crop-weed species to study the diversity and potential flow of viral populations using high throughput sequencing (HTS) based metagenomics. A total of 20 libraries were prepared and sequenced on an Illumina HiSeq 3000 system at the GenoToul platform (INRA Toulouse, France).

  5. f

    Table_3_An Assessment of Ovarian Cancer Histotypes Across the African...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Nov 26, 2021
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    Tamunomie, Nyengidiki Kennedy; Bassey, Emem; Ekanem, Etim; Edegbe, Felix O.; Nweke, Ikechukwu; Bowe, Saida; Abimiku, Bawa Ahmed; Lawal, Ishak; Abu Okolo, Clement; Dahiru, Aminu M. C.; Ajenifuja, Kayode Olusegun; Chiemeka, Michael Emeka; Chamala, Srikar; Anthony, Umeh Uchenna; Silas, Olugbenga; Castillo, Melissa Nicole; Bahall, Vishal; Ukekwe, Francis Ikechukwu; Halliday, Darron; Yahaya, Usman Rahman; Abdullahi, Habiba Ibrahim; Umar, Usman Aliyu; Odedina, Folakemi; Nzeribe, Emily; Athanasius, Boma Precious; Anorlu, Rose I.; Agwu, Uzoma Maryrose; Ragin, Camille; Eleje, George Uchenna; Paul, Jibrin; Bakari, Maisaratu A.; Kabir, Suleiman Aliyu; Usman, Hadiza Abdullahi; Ezeanochie, Michael; Uche, Umemmuo Maureen; Sanchez-Covarrubias, Alex P.; Mustapha, Aisha; Omotoso, Ayodele; Audu, Bala; Butler, Raleigh; Kadas, SaiduAbubakar; Banjo, Adekunbiola; George, Sophia H. L.; Oluwasola, Timothy Abiola; Ango, Ibrahim G.; Suleiman, Dauda E.; Usman, Asmau; Magaji, Francis; Ahmed, Saad Aliyu; Ekanem, Victor; Schlumbrecht, Matthew; Pinto, Andre; Brambury, Ian; Bruney, George; Abudu, Kunle; Abdullahi, Kabiru; Chatrani, Vikash; Umar, Ali Bala; Abdurrahman, Aisha; Fawole, Adegboyega Adisa; Kabir, Abba; Kazeem, Ibrahim O. O. (2021). Table_3_An Assessment of Ovarian Cancer Histotypes Across the African Diaspora.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000793117
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    Dataset updated
    Nov 26, 2021
    Authors
    Tamunomie, Nyengidiki Kennedy; Bassey, Emem; Ekanem, Etim; Edegbe, Felix O.; Nweke, Ikechukwu; Bowe, Saida; Abimiku, Bawa Ahmed; Lawal, Ishak; Abu Okolo, Clement; Dahiru, Aminu M. C.; Ajenifuja, Kayode Olusegun; Chiemeka, Michael Emeka; Chamala, Srikar; Anthony, Umeh Uchenna; Silas, Olugbenga; Castillo, Melissa Nicole; Bahall, Vishal; Ukekwe, Francis Ikechukwu; Halliday, Darron; Yahaya, Usman Rahman; Abdullahi, Habiba Ibrahim; Umar, Usman Aliyu; Odedina, Folakemi; Nzeribe, Emily; Athanasius, Boma Precious; Anorlu, Rose I.; Agwu, Uzoma Maryrose; Ragin, Camille; Eleje, George Uchenna; Paul, Jibrin; Bakari, Maisaratu A.; Kabir, Suleiman Aliyu; Usman, Hadiza Abdullahi; Ezeanochie, Michael; Uche, Umemmuo Maureen; Sanchez-Covarrubias, Alex P.; Mustapha, Aisha; Omotoso, Ayodele; Audu, Bala; Butler, Raleigh; Kadas, SaiduAbubakar; Banjo, Adekunbiola; George, Sophia H. L.; Oluwasola, Timothy Abiola; Ango, Ibrahim G.; Suleiman, Dauda E.; Usman, Asmau; Magaji, Francis; Ahmed, Saad Aliyu; Ekanem, Victor; Schlumbrecht, Matthew; Pinto, Andre; Brambury, Ian; Bruney, George; Abudu, Kunle; Abdullahi, Kabiru; Chatrani, Vikash; Umar, Ali Bala; Abdurrahman, Aisha; Fawole, Adegboyega Adisa; Kabir, Abba; Kazeem, Ibrahim O. O.
    Area covered
    Africa
    Description

    ObjectiveOvarian cancer in Black women is common in many West African countries but is relatively rare in North America. Black women have worse survival outcomes when compared to White women. Ovarian cancer histotype, diagnosis, and age at presentation are known prognostic factors for outcome. We sought to conduct a preliminary comparative assessment of these factors across the African diaspora.MethodsPatients diagnosed with ovarian cancer (all histologies) between June 2016-December 2019 in Departments of Pathology at 25 participating sites in Nigeria were identified. Comparative population-based data, inclusive of Caribbean-born Blacks (CBB) and US-born Blacks (USB), were additionally captured from the International Agency for Research on Cancer and Florida Cancer Data Systems. Histology, country of birth, and age at diagnosis data were collected and evaluated across the three subgroups: USB, CBB and Nigerians. Statistical analyses were done using chi-square and student’s t-test with significance set at p<0.05.ResultsNigerians had the highest proportion of germ cell tumor (GCT, 11.5%) and sex-cord stromal (SCST, 16.2%) ovarian cancers relative to CBB and USB (p=0.001). CBB (79.4%) and USB (77.3%) women were diagnosed with a larger proportion of serous ovarian cancer than Nigerians (60.4%) (p<0.0001). Nigerians were diagnosed with epithelial ovarian cancers at the youngest age (51.7± 12.8 years) relative to USB (58.9 ± 15.0) and CBB (59.0± 13.0,p<0.001). Black women [CBB (25.2 ± 15.0), Nigerians (29.5 ± 15.1), and USB (33.9 ± 17.9)] were diagnosed with GCT younger than White women (35.4 ± 20.5, p=0.011). Black women [Nigerians (47.5 ± 15.9), USB (50.9 ± 18.3) and CBB (50.9 ± 18.3)] were also diagnosed with SCST younger than White women (55.6 ± 16.5, p<0.01).ConclusionThere is significant variation in age of diagnosis and distribution of ovarian cancer histotype/diagnosis across the African diaspora. The etiology of these findings requires further investigation.

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U.S. Geological Survey (2024). Data from pathology of Lagovirus europaeus GI.2/RHDV2/b (rabbit hemorrhagic disease virus 2) in native North American lagomorphs [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/data-from-pathology-of-lagovirus-europaeus-gi-2-rhdv2-b-rabbit-hemorrhagic-disease-virus-2

Data from pathology of Lagovirus europaeus GI.2/RHDV2/b (rabbit hemorrhagic disease virus 2) in native North American lagomorphs

Related Article
Explore at:
Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Description

Rabbit hemorrhagic disease, a notifiable foreign animal disease in the USA, was reported for the first time in wild native North American rabbits and hares in April 2020 in the southwestern USA. Affected species included the Desert Cottontail (Sylvilagus audubonii), Mountain Cottontail (S. nutallii), Black-tailed Jackrabbit (Lepus californicus), and Antelope Jackrabbit (L. alleni). Desert Cottontails (n=7) and Black-tailed Jackrabbits (n=7) collected in April and May 2020 were necropsied at the U.S. Geological Survey National Wildlife Health Center (NWHC) and tested positive for Lagovirus europaeus GI.2, also known as rabbit hemorrhagic disease virus 2 (GI.2/RHDV2/b), by real-time PCR at the U.S. Department of Agriculture’s Foreign Animal Disease Diagnostic Laboratory. Gross and microscopic lesions were similar to those reported in European rabbits (Oryctolagus cuniculus) and other hare (Lepus) species with GI.2/RHDV2/b infection and included epistaxis (12/13; 92%), massive hepatocellular dissociation (14/14; 100%) and necrosis/apoptosis (11/11; 100%), pulmonary congestion (12/12; 100%), edema (12/13; 92%), and hemorrhage (11/12; 92%), and acute renal tubular injury (3/8; 38%). As in previous reports and when compared to historical cases in the NWHC diagnostic database, massive hepatocellular dissociation and necrosis/apoptosis was the most diagnostically distinct finding in GI.2/RHDV2/b-positive rabbits and hares. Based on the apparent susceptibility of North American Sylvilagus and Lepus species to fatal GI.2/RHDV2/b infection, additional work is needed to understand the host range, pathogenicity, and potential population impacts of GI.2/RHDV2/b in North America.

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