PMC:7417788 / 69435-70098 JSONTXT

{"project":"LitCovid-PMC-OGER-BB","denotations":[{"id":"T1467","span":{"begin":24,"end":29},"obj":"GO:0007568"},{"id":"T1468","span":{"begin":33,"end":44},"obj":"CL:0000080"},{"id":"T1469","span":{"begin":45,"end":51},"obj":"UBERON:0002405;CL:0000738"},{"id":"T1470","span":{"begin":52,"end":57},"obj":"CL:0000738"},{"id":"T1471","span":{"begin":82,"end":87},"obj":"SO:0000704"},{"id":"T1472","span":{"begin":117,"end":122},"obj":"SO:0000704"},{"id":"T1473","span":{"begin":130,"end":136},"obj":"UBERON:0002405;CL:0000738"},{"id":"T1474","span":{"begin":137,"end":142},"obj":"CL:0000738"},{"id":"T1475","span":{"begin":144,"end":149},"obj":"GO:0007568"},{"id":"T1476","span":{"begin":230,"end":240},"obj":"GO:0010467"},{"id":"T1477","span":{"begin":248,"end":253},"obj":"SO:0000704"},{"id":"T1478","span":{"begin":280,"end":285},"obj":"GO:0007568"},{"id":"T1479","span":{"begin":294,"end":300},"obj":"UBERON:0002405;CL:0000738"},{"id":"T1480","span":{"begin":301,"end":305},"obj":"CL:0000738"},{"id":"T1481","span":{"begin":349,"end":354},"obj":"GO:0007568"},{"id":"T1482","span":{"begin":460,"end":465},"obj":"GO:0007568"},{"id":"T1483","span":{"begin":466,"end":470},"obj":"SO:0000704"},{"id":"T1484","span":{"begin":560,"end":565},"obj":"GO:0007568"},{"id":"T1485","span":{"begin":566,"end":571},"obj":"SO:0000704"},{"id":"T1486","span":{"begin":572,"end":581},"obj":"GO:0010467"},{"id":"T1487","span":{"begin":623,"end":632},"obj":"GO:0010467"}],"text":"To assess the impact of aging in circulating immune cells, we selected the top 20 genes out of 60 common upregulated genes in all immune cells. Aging scores were estimated for all cells as the average of the scaled (Z-normalized) expression of the genes in the list. The score of aging for all immune cell types can be used to predict the effect of aging on single cells and cell subtype levels. Calculation of the scores was done as follows: the score of the aging gene set in the given cell-subset (named as X) was computed as the sum of all UMI for all the aging genes expressed in X cell, divided by the sum of all UMI expressed by X cell (Pont et al., 2019)."}

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T496","span":{"begin":52,"end":57},"obj":"Body_part"},{"id":"T497","span":{"begin":137,"end":142},"obj":"Body_part"},{"id":"T498","span":{"begin":180,"end":185},"obj":"Body_part"},{"id":"T499","span":{"begin":301,"end":305},"obj":"Body_part"},{"id":"T500","span":{"begin":365,"end":370},"obj":"Body_part"},{"id":"T501","span":{"begin":375,"end":379},"obj":"Body_part"},{"id":"T502","span":{"begin":466,"end":470},"obj":"Body_part"},{"id":"T503","span":{"begin":488,"end":492},"obj":"Body_part"},{"id":"T504","span":{"begin":587,"end":591},"obj":"Body_part"},{"id":"T505","span":{"begin":638,"end":642},"obj":"Body_part"}],"attributes":[{"id":"A496","pred":"fma_id","subj":"T496","obj":"http://purl.org/sig/ont/fma/fma68646"},{"id":"A497","pred":"fma_id","subj":"T497","obj":"http://purl.org/sig/ont/fma/fma68646"},{"id":"A498","pred":"fma_id","subj":"T498","obj":"http://purl.org/sig/ont/fma/fma68646"},{"id":"A499","pred":"fma_id","subj":"T499","obj":"http://purl.org/sig/ont/fma/fma68646"},{"id":"A500","pred":"fma_id","subj":"T500","obj":"http://purl.org/sig/ont/fma/fma68646"},{"id":"A501","pred":"fma_id","subj":"T501","obj":"http://purl.org/sig/ont/fma/fma68646"},{"id":"A502","pred":"fma_id","subj":"T502","obj":"http://purl.org/sig/ont/fma/fma74402"},{"id":"A503","pred":"fma_id","subj":"T503","obj":"http://purl.org/sig/ont/fma/fma68646"},{"id":"A504","pred":"fma_id","subj":"T504","obj":"http://purl.org/sig/ont/fma/fma68646"},{"id":"A505","pred":"fma_id","subj":"T505","obj":"http://purl.org/sig/ont/fma/fma68646"}],"text":"To assess the impact of aging in circulating immune cells, we selected the top 20 genes out of 60 common upregulated genes in all immune cells. Aging scores were estimated for all cells as the average of the scaled (Z-normalized) expression of the genes in the list. The score of aging for all immune cell types can be used to predict the effect of aging on single cells and cell subtype levels. Calculation of the scores was done as follows: the score of the aging gene set in the given cell-subset (named as X) was computed as the sum of all UMI for all the aging genes expressed in X cell, divided by the sum of all UMI expressed by X cell (Pont et al., 2019)."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T1139","span":{"begin":52,"end":57},"obj":"http://purl.obolibrary.org/obo/GO_0005623"},{"id":"T1140","span":{"begin":82,"end":87},"obj":"http://purl.obolibrary.org/obo/OGG_0000000002"},{"id":"T1141","span":{"begin":117,"end":122},"obj":"http://purl.obolibrary.org/obo/OGG_0000000002"},{"id":"T1142","span":{"begin":137,"end":142},"obj":"http://purl.obolibrary.org/obo/GO_0005623"},{"id":"T1143","span":{"begin":180,"end":185},"obj":"http://purl.obolibrary.org/obo/GO_0005623"},{"id":"T1144","span":{"begin":248,"end":253},"obj":"http://purl.obolibrary.org/obo/OGG_0000000002"},{"id":"T1145","span":{"begin":301,"end":311},"obj":"http://purl.obolibrary.org/obo/CL_0000000"},{"id":"T1146","span":{"begin":365,"end":370},"obj":"http://purl.obolibrary.org/obo/GO_0005623"},{"id":"T1147","span":{"begin":375,"end":379},"obj":"http://purl.obolibrary.org/obo/GO_0005623"},{"id":"T1148","span":{"begin":466,"end":470},"obj":"http://purl.obolibrary.org/obo/OGG_0000000002"},{"id":"T1149","span":{"begin":488,"end":492},"obj":"http://purl.obolibrary.org/obo/GO_0005623"},{"id":"T1150","span":{"begin":566,"end":571},"obj":"http://purl.obolibrary.org/obo/OGG_0000000002"},{"id":"T1151","span":{"begin":587,"end":591},"obj":"http://purl.obolibrary.org/obo/GO_0005623"},{"id":"T1152","span":{"begin":638,"end":642},"obj":"http://purl.obolibrary.org/obo/GO_0005623"}],"text":"To assess the impact of aging in circulating immune cells, we selected the top 20 genes out of 60 common upregulated genes in all immune cells. Aging scores were estimated for all cells as the average of the scaled (Z-normalized) expression of the genes in the list. The score of aging for all immune cell types can be used to predict the effect of aging on single cells and cell subtype levels. Calculation of the scores was done as follows: the score of the aging gene set in the given cell-subset (named as X) was computed as the sum of all UMI for all the aging genes expressed in X cell, divided by the sum of all UMI expressed by X cell (Pont et al., 2019)."}

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T303","span":{"begin":24,"end":29},"obj":"http://purl.obolibrary.org/obo/GO_0007568"},{"id":"T304","span":{"begin":144,"end":149},"obj":"http://purl.obolibrary.org/obo/GO_0007568"},{"id":"T305","span":{"begin":280,"end":285},"obj":"http://purl.obolibrary.org/obo/GO_0007568"},{"id":"T306","span":{"begin":349,"end":354},"obj":"http://purl.obolibrary.org/obo/GO_0007568"},{"id":"T307","span":{"begin":460,"end":465},"obj":"http://purl.obolibrary.org/obo/GO_0007568"},{"id":"T308","span":{"begin":560,"end":565},"obj":"http://purl.obolibrary.org/obo/GO_0007568"}],"text":"To assess the impact of aging in circulating immune cells, we selected the top 20 genes out of 60 common upregulated genes in all immune cells. Aging scores were estimated for all cells as the average of the scaled (Z-normalized) expression of the genes in the list. The score of aging for all immune cell types can be used to predict the effect of aging on single cells and cell subtype levels. Calculation of the scores was done as follows: the score of the aging gene set in the given cell-subset (named as X) was computed as the sum of all UMI for all the aging genes expressed in X cell, divided by the sum of all UMI expressed by X cell (Pont et al., 2019)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T389","span":{"begin":0,"end":143},"obj":"Sentence"},{"id":"T390","span":{"begin":144,"end":266},"obj":"Sentence"},{"id":"T391","span":{"begin":267,"end":395},"obj":"Sentence"},{"id":"T392","span":{"begin":396,"end":663},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"To assess the impact of aging in circulating immune cells, we selected the top 20 genes out of 60 common upregulated genes in all immune cells. Aging scores were estimated for all cells as the average of the scaled (Z-normalized) expression of the genes in the list. The score of aging for all immune cell types can be used to predict the effect of aging on single cells and cell subtype levels. Calculation of the scores was done as follows: the score of the aging gene set in the given cell-subset (named as X) was computed as the sum of all UMI for all the aging genes expressed in X cell, divided by the sum of all UMI expressed by X cell (Pont et al., 2019)."}

{"project":"2_test","denotations":[{"id":"32780218-29891535-132718730","span":{"begin":657,"end":661},"obj":"29891535"}],"text":"To assess the impact of aging in circulating immune cells, we selected the top 20 genes out of 60 common upregulated genes in all immune cells. Aging scores were estimated for all cells as the average of the scaled (Z-normalized) expression of the genes in the list. The score of aging for all immune cell types can be used to predict the effect of aging on single cells and cell subtype levels. Calculation of the scores was done as follows: the score of the aging gene set in the given cell-subset (named as X) was computed as the sum of all UMI for all the aging genes expressed in X cell, divided by the sum of all UMI expressed by X cell (Pont et al., 2019)."}