PMC:7417788 / 16766-17507 JSONTXT

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    LitCovid-PMC-OGER-BB

    {"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T400","span":{"begin":101,"end":105},"obj":"PR:000001889"},{"id":"T401","span":{"begin":144,"end":148},"obj":"PR:000001483"},{"id":"T402","span":{"begin":243,"end":247},"obj":"PR:000001889"},{"id":"T403","span":{"begin":305,"end":309},"obj":"PR:000001889"},{"id":"T404","span":{"begin":381,"end":385},"obj":"PR:000001483"}],"text":"Our data also showed that elderly research subjects had increased MC subsets, particularly classical CD14 MCs and, to some extent, nonclassical CD16 MCs and intermediate MCs (Figs. 2L, 2M, S5G, and S5H). Overall MC growth mainly resulted from CD14 MC enrichment (P = 0.0012, Fig. 2M). However, given that CD14 MCs made up 70%–80% of the MCs population, the increase we observed in CD16 MCs was more remarkable as a change in the overall population proportion between the AA and YA groups, which was not observed for intermediate MCs between these groups (Fig. S5G–J). A similar analysis of the DC subset composition showed that the percentage of cDC2 cells increased, whereas cDC1, pDC, and pre-DC decreased with age (Figs. 2N, 2O, and S5I)."}

    LitCovid-PD-FMA-UBERON

    {"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T177","span":{"begin":651,"end":656},"obj":"Body_part"}],"attributes":[{"id":"A177","pred":"fma_id","subj":"T177","obj":"http://purl.org/sig/ont/fma/fma68646"}],"text":"Our data also showed that elderly research subjects had increased MC subsets, particularly classical CD14 MCs and, to some extent, nonclassical CD16 MCs and intermediate MCs (Figs. 2L, 2M, S5G, and S5H). Overall MC growth mainly resulted from CD14 MC enrichment (P = 0.0012, Fig. 2M). However, given that CD14 MCs made up 70%–80% of the MCs population, the increase we observed in CD16 MCs was more remarkable as a change in the overall population proportion between the AA and YA groups, which was not observed for intermediate MCs between these groups (Fig. S5G–J). A similar analysis of the DC subset composition showed that the percentage of cDC2 cells increased, whereas cDC1, pDC, and pre-DC decreased with age (Figs. 2N, 2O, and S5I)."}

    LitCovid-PD-MONDO

    {"project":"LitCovid-PD-MONDO","denotations":[{"id":"T35","span":{"begin":66,"end":68},"obj":"Disease"},{"id":"T36","span":{"begin":212,"end":214},"obj":"Disease"},{"id":"T37","span":{"begin":248,"end":250},"obj":"Disease"}],"attributes":[{"id":"A35","pred":"mondo_id","subj":"T35","obj":"http://purl.obolibrary.org/obo/MONDO_0007407"},{"id":"A36","pred":"mondo_id","subj":"T36","obj":"http://purl.obolibrary.org/obo/MONDO_0007407"},{"id":"A37","pred":"mondo_id","subj":"T37","obj":"http://purl.obolibrary.org/obo/MONDO_0007407"}],"text":"Our data also showed that elderly research subjects had increased MC subsets, particularly classical CD14 MCs and, to some extent, nonclassical CD16 MCs and intermediate MCs (Figs. 2L, 2M, S5G, and S5H). Overall MC growth mainly resulted from CD14 MC enrichment (P = 0.0012, Fig. 2M). However, given that CD14 MCs made up 70%–80% of the MCs population, the increase we observed in CD16 MCs was more remarkable as a change in the overall population proportion between the AA and YA groups, which was not observed for intermediate MCs between these groups (Fig. S5G–J). A similar analysis of the DC subset composition showed that the percentage of cDC2 cells increased, whereas cDC1, pDC, and pre-DC decreased with age (Figs. 2N, 2O, and S5I)."}

    LitCovid-PD-CLO

    {"project":"LitCovid-PD-CLO","denotations":[{"id":"T356","span":{"begin":106,"end":109},"obj":"http://purl.obolibrary.org/obo/CL_0000576"},{"id":"T357","span":{"begin":149,"end":152},"obj":"http://purl.obolibrary.org/obo/CL_0000576"},{"id":"T358","span":{"begin":170,"end":173},"obj":"http://purl.obolibrary.org/obo/CL_0000576"},{"id":"T359","span":{"begin":310,"end":313},"obj":"http://purl.obolibrary.org/obo/CL_0000576"},{"id":"T360","span":{"begin":337,"end":340},"obj":"http://purl.obolibrary.org/obo/CL_0000576"},{"id":"T361","span":{"begin":386,"end":389},"obj":"http://purl.obolibrary.org/obo/CL_0000576"},{"id":"T362","span":{"begin":413,"end":414},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T363","span":{"begin":471,"end":473},"obj":"http://purl.obolibrary.org/obo/CLO_0001627"},{"id":"T364","span":{"begin":529,"end":532},"obj":"http://purl.obolibrary.org/obo/CL_0000576"},{"id":"T365","span":{"begin":568,"end":569},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T366","span":{"begin":651,"end":656},"obj":"http://purl.obolibrary.org/obo/GO_0005623"},{"id":"T367","span":{"begin":682,"end":685},"obj":"http://purl.obolibrary.org/obo/CL_0000784"}],"text":"Our data also showed that elderly research subjects had increased MC subsets, particularly classical CD14 MCs and, to some extent, nonclassical CD16 MCs and intermediate MCs (Figs. 2L, 2M, S5G, and S5H). Overall MC growth mainly resulted from CD14 MC enrichment (P = 0.0012, Fig. 2M). However, given that CD14 MCs made up 70%–80% of the MCs population, the increase we observed in CD16 MCs was more remarkable as a change in the overall population proportion between the AA and YA groups, which was not observed for intermediate MCs between these groups (Fig. S5G–J). A similar analysis of the DC subset composition showed that the percentage of cDC2 cells increased, whereas cDC1, pDC, and pre-DC decreased with age (Figs. 2N, 2O, and S5I)."}

    LitCovid-PD-CHEBI

    {"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T68","span":{"begin":66,"end":68},"obj":"Chemical"},{"id":"T69","span":{"begin":212,"end":214},"obj":"Chemical"},{"id":"T70","span":{"begin":248,"end":250},"obj":"Chemical"},{"id":"T71","span":{"begin":471,"end":473},"obj":"Chemical"},{"id":"T73","span":{"begin":478,"end":480},"obj":"Chemical"}],"attributes":[{"id":"A68","pred":"chebi_id","subj":"T68","obj":"http://purl.obolibrary.org/obo/CHEBI_34342"},{"id":"A69","pred":"chebi_id","subj":"T69","obj":"http://purl.obolibrary.org/obo/CHEBI_34342"},{"id":"A70","pred":"chebi_id","subj":"T70","obj":"http://purl.obolibrary.org/obo/CHEBI_34342"},{"id":"A71","pred":"chebi_id","subj":"T71","obj":"http://purl.obolibrary.org/obo/CHEBI_15843"},{"id":"A72","pred":"chebi_id","subj":"T71","obj":"http://purl.obolibrary.org/obo/CHEBI_72816"},{"id":"A73","pred":"chebi_id","subj":"T73","obj":"http://purl.obolibrary.org/obo/CHEBI_74879"}],"text":"Our data also showed that elderly research subjects had increased MC subsets, particularly classical CD14 MCs and, to some extent, nonclassical CD16 MCs and intermediate MCs (Figs. 2L, 2M, S5G, and S5H). Overall MC growth mainly resulted from CD14 MC enrichment (P = 0.0012, Fig. 2M). However, given that CD14 MCs made up 70%–80% of the MCs population, the increase we observed in CD16 MCs was more remarkable as a change in the overall population proportion between the AA and YA groups, which was not observed for intermediate MCs between these groups (Fig. S5G–J). A similar analysis of the DC subset composition showed that the percentage of cDC2 cells increased, whereas cDC1, pDC, and pre-DC decreased with age (Figs. 2N, 2O, and S5I)."}

    LitCovid-PD-GO-BP

    {"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T56","span":{"begin":215,"end":221},"obj":"http://purl.obolibrary.org/obo/GO_0040007"}],"text":"Our data also showed that elderly research subjects had increased MC subsets, particularly classical CD14 MCs and, to some extent, nonclassical CD16 MCs and intermediate MCs (Figs. 2L, 2M, S5G, and S5H). Overall MC growth mainly resulted from CD14 MC enrichment (P = 0.0012, Fig. 2M). However, given that CD14 MCs made up 70%–80% of the MCs population, the increase we observed in CD16 MCs was more remarkable as a change in the overall population proportion between the AA and YA groups, which was not observed for intermediate MCs between these groups (Fig. S5G–J). A similar analysis of the DC subset composition showed that the percentage of cDC2 cells increased, whereas cDC1, pDC, and pre-DC decreased with age (Figs. 2N, 2O, and S5I)."}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T78","span":{"begin":0,"end":203},"obj":"Sentence"},{"id":"T79","span":{"begin":204,"end":284},"obj":"Sentence"},{"id":"T80","span":{"begin":285,"end":567},"obj":"Sentence"},{"id":"T81","span":{"begin":568,"end":741},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Our data also showed that elderly research subjects had increased MC subsets, particularly classical CD14 MCs and, to some extent, nonclassical CD16 MCs and intermediate MCs (Figs. 2L, 2M, S5G, and S5H). Overall MC growth mainly resulted from CD14 MC enrichment (P = 0.0012, Fig. 2M). However, given that CD14 MCs made up 70%–80% of the MCs population, the increase we observed in CD16 MCs was more remarkable as a change in the overall population proportion between the AA and YA groups, which was not observed for intermediate MCs between these groups (Fig. S5G–J). A similar analysis of the DC subset composition showed that the percentage of cDC2 cells increased, whereas cDC1, pDC, and pre-DC decreased with age (Figs. 2N, 2O, and S5I)."}

    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"410","span":{"begin":101,"end":105},"obj":"Gene"},{"id":"411","span":{"begin":144,"end":148},"obj":"Gene"},{"id":"412","span":{"begin":243,"end":247},"obj":"Gene"},{"id":"413","span":{"begin":305,"end":309},"obj":"Gene"},{"id":"414","span":{"begin":381,"end":385},"obj":"Gene"},{"id":"415","span":{"begin":646,"end":650},"obj":"Gene"},{"id":"416","span":{"begin":198,"end":201},"obj":"Mutation"},{"id":"417","span":{"begin":736,"end":739},"obj":"Mutation"}],"attributes":[{"id":"A410","pred":"tao:has_database_id","subj":"410","obj":"Gene:929"},{"id":"A411","pred":"tao:has_database_id","subj":"411","obj":"Gene:2214"},{"id":"A412","pred":"tao:has_database_id","subj":"412","obj":"Gene:929"},{"id":"A413","pred":"tao:has_database_id","subj":"413","obj":"Gene:929"},{"id":"A414","pred":"tao:has_database_id","subj":"414","obj":"Gene:2214"},{"id":"A415","pred":"tao:has_database_id","subj":"415","obj":"Gene:983"},{"id":"A416","pred":"tao:has_standard_notation","subj":"416","obj":"p.S5H"},{"id":"A417","pred":"tao:has_standard_notation","subj":"417","obj":"p.S5I"}],"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":"Our data also showed that elderly research subjects had increased MC subsets, particularly classical CD14 MCs and, to some extent, nonclassical CD16 MCs and intermediate MCs (Figs. 2L, 2M, S5G, and S5H). Overall MC growth mainly resulted from CD14 MC enrichment (P = 0.0012, Fig. 2M). However, given that CD14 MCs made up 70%–80% of the MCs population, the increase we observed in CD16 MCs was more remarkable as a change in the overall population proportion between the AA and YA groups, which was not observed for intermediate MCs between these groups (Fig. S5G–J). A similar analysis of the DC subset composition showed that the percentage of cDC2 cells increased, whereas cDC1, pDC, and pre-DC decreased with age (Figs. 2N, 2O, and S5I)."}