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                <identifier>oai:data.mendeley.com/n66n5pj4f6.2</identifier>
                <datestamp>2020-09-12T00:52:27Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Ramirez, Sydney</dc:creator>
    <dc:title>Antigen-specific adaptive immunity to SARS-CoV-2 in acute COVID-19 and associations with age and disease severity. Moderbacher et al.</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>We conducted an analysis of SARS-CoV-2 specific adaptive immune responses during acute COVID-19 in comparison with convalescent COVID-19 and unexposed, healthy controls and identified that coordination between SARS-CoV-2-specific CD4 T cells and CD8 T cells limits disease severity in COVID-19. Aged individuals more often exhibited uncoordinated adaptive responses, potentially tied to scarcity of naive T cells, highlighting immunologic risk factors linked to COVID-19 disease severity. The data available here include all of the supplementary tables and figures, as well as a simplified parameters sheet with experimental and donor information for the healthy unexposed, acute COVID-19, and convalescent COVID-19 donor samples included in this study. Additional information about the supplementary materials, fields, field names, calculations, and patient cohorts are all provided in the published paper.</dc:description>
    <dc:subject>Immunology</dc:subject>
    <dc:subject>Antibody</dc:subject>
    <dc:subject>T Cell</dc:subject>
    <dc:subject>Adaptive Immunity</dc:subject>
    <dc:subject>Severe Acute Respiratory Syndrome Coronavirus 2</dc:subject>
    <dc:subject>COVID-19</dc:subject>
    <dc:contributor>Rydyznski Moderbacher, Carolyn</dc:contributor>
    <dc:contributor>Dan, Jennifer</dc:contributor>
    <dc:contributor>Grifoni, Alba</dc:contributor>
    <dc:contributor>Hastie, Kathryn</dc:contributor>
    <dc:contributor>Weiskopf, Daniela</dc:contributor>
    <dc:contributor>Belanger, Simon</dc:contributor>
    <dc:contributor>Abbott, Robert</dc:contributor>
    <dc:contributor>Kim, Christina</dc:contributor>
    <dc:contributor>Choi, Jinyong</dc:contributor>
    <dc:contributor>Kato, Yu</dc:contributor>
    <dc:contributor>Crotty, Eleanor</dc:contributor>
    <dc:contributor>Kim, Cheryl</dc:contributor>
    <dc:contributor>Rawlings, Stephen</dc:contributor>
    <dc:contributor>Mateus, Jose</dc:contributor>
    <dc:contributor>Tse, Long Ping Victor</dc:contributor>
    <dc:contributor>Frazier, April</dc:contributor>
    <dc:contributor>Baric, Ralph</dc:contributor>
    <dc:contributor>Peters, Bjoern</dc:contributor>
    <dc:contributor>Greenbaum, Jason</dc:contributor>
    <dc:contributor>Ollmann Saphire, Erica</dc:contributor>
    <dc:contributor>Smith, Davey</dc:contributor>
    <dc:contributor>Sette, Alessandro</dc:contributor>
    <dc:contributor>Crotty, Shane </dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/n66n5pj4f6.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/n66n5pj4f6.2</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/n66n5pj4f6</dc:relation>
    <dc:date>2020-09-12T00:52:27Z</dc:date>
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