PMC:7402624 / 53743-54311 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T447","span":{"begin":255,"end":259},"obj":"Body_part"}],"attributes":[{"id":"A447","pred":"fma_id","subj":"T447","obj":"http://purl.org/sig/ont/fma/fma68646"}],"text":"ne response in COVID-19 patients.\nTo interrogate the immune response patterns of COVID-19 hospitalized patients, we studied a cohort of ~125 COVID-19 patients. We used high dimensional flow cytometry to perform deep immune profiling of individual B and T cell populations, with temporal analysis of immune changes during infection, and combined this profiling with extensive clinical data to understand the relationships between immune responses to SARS-CoV2 and disease severity. Using this approach, we made several key findings. First, a defining feature of COVID-1"}

{"project":"LitCovid-PubTator","denotations":[{"id":"1723","span":{"begin":24,"end":32},"obj":"Species"},{"id":"1733","span":{"begin":15,"end":23},"obj":"Disease"},{"id":"1771","span":{"begin":103,"end":111},"obj":"Species"},{"id":"1772","span":{"begin":150,"end":158},"obj":"Species"},{"id":"1773","span":{"begin":449,"end":458},"obj":"Species"},{"id":"1783","span":{"begin":81,"end":89},"obj":"Disease"},{"id":"1784","span":{"begin":141,"end":149},"obj":"Disease"},{"id":"1785","span":{"begin":321,"end":330},"obj":"Disease"}],"attributes":[{"id":"A1723","pred":"tao:has_database_id","subj":"1723","obj":"Tax:9606"},{"id":"A1733","pred":"tao:has_database_id","subj":"1733","obj":"MESH:C000657245"},{"id":"A1771","pred":"tao:has_database_id","subj":"1771","obj":"Tax:9606"},{"id":"A1772","pred":"tao:has_database_id","subj":"1772","obj":"Tax:9606"},{"id":"A1773","pred":"tao:has_database_id","subj":"1773","obj":"Tax:2697049"},{"id":"A1783","pred":"tao:has_database_id","subj":"1783","obj":"MESH:C000657245"},{"id":"A1784","pred":"tao:has_database_id","subj":"1784","obj":"MESH:C000657245"},{"id":"A1785","pred":"tao:has_database_id","subj":"1785","obj":"MESH:D007239"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"ne response in COVID-19 patients.\nTo interrogate the immune response patterns of COVID-19 hospitalized patients, we studied a cohort of ~125 COVID-19 patients. We used high dimensional flow cytometry to perform deep immune profiling of individual B and T cell populations, with temporal analysis of immune changes during infection, and combined this profiling with extensive clinical data to understand the relationships between immune responses to SARS-CoV2 and disease severity. Using this approach, we made several key findings. First, a defining feature of COVID-1"}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T364","span":{"begin":15,"end":23},"obj":"Disease"},{"id":"T365","span":{"begin":81,"end":89},"obj":"Disease"},{"id":"T366","span":{"begin":141,"end":149},"obj":"Disease"},{"id":"T367","span":{"begin":321,"end":330},"obj":"Disease"},{"id":"T368","span":{"begin":449,"end":453},"obj":"Disease"}],"attributes":[{"id":"A364","pred":"mondo_id","subj":"T364","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A365","pred":"mondo_id","subj":"T365","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A366","pred":"mondo_id","subj":"T366","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A367","pred":"mondo_id","subj":"T367","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"},{"id":"A368","pred":"mondo_id","subj":"T368","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"}],"text":"ne response in COVID-19 patients.\nTo interrogate the immune response patterns of COVID-19 hospitalized patients, we studied a cohort of ~125 COVID-19 patients. We used high dimensional flow cytometry to perform deep immune profiling of individual B and T cell populations, with temporal analysis of immune changes during infection, and combined this profiling with extensive clinical data to understand the relationships between immune responses to SARS-CoV2 and disease severity. Using this approach, we made several key findings. First, a defining feature of COVID-1"}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T817","span":{"begin":124,"end":125},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T818","span":{"begin":247,"end":248},"obj":"http://purl.obolibrary.org/obo/CLO_0001021"},{"id":"T819","span":{"begin":253,"end":259},"obj":"http://purl.obolibrary.org/obo/CL_0000084"},{"id":"T820","span":{"begin":539,"end":540},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"ne response in COVID-19 patients.\nTo interrogate the immune response patterns of COVID-19 hospitalized patients, we studied a cohort of ~125 COVID-19 patients. We used high dimensional flow cytometry to perform deep immune profiling of individual B and T cell populations, with temporal analysis of immune changes during infection, and combined this profiling with extensive clinical data to understand the relationships between immune responses to SARS-CoV2 and disease severity. Using this approach, we made several key findings. First, a defining feature of COVID-1"}

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T101","span":{"begin":53,"end":68},"obj":"http://purl.obolibrary.org/obo/GO_0006955"},{"id":"T102","span":{"begin":429,"end":445},"obj":"http://purl.obolibrary.org/obo/GO_0006955"}],"text":"ne response in COVID-19 patients.\nTo interrogate the immune response patterns of COVID-19 hospitalized patients, we studied a cohort of ~125 COVID-19 patients. We used high dimensional flow cytometry to perform deep immune profiling of individual B and T cell populations, with temporal analysis of immune changes during infection, and combined this profiling with extensive clinical data to understand the relationships between immune responses to SARS-CoV2 and disease severity. Using this approach, we made several key findings. First, a defining feature of COVID-1"}

{"project":"LitCovid-sentences","denotations":[{"id":"T312","span":{"begin":34,"end":159},"obj":"Sentence"},{"id":"T313","span":{"begin":160,"end":480},"obj":"Sentence"},{"id":"T314","span":{"begin":481,"end":531},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"ne response in COVID-19 patients.\nTo interrogate the immune response patterns of COVID-19 hospitalized patients, we studied a cohort of ~125 COVID-19 patients. We used high dimensional flow cytometry to perform deep immune profiling of individual B and T cell populations, with temporal analysis of immune changes during infection, and combined this profiling with extensive clinical data to understand the relationships between immune responses to SARS-CoV2 and disease severity. Using this approach, we made several key findings. First, a defining feature of COVID-1"}