About: A human circulating immune cell landscape in aging and COVID-19

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A human circulating immune cell landscape in aging and COVID-19
Creator	Qu, Jing Shi, Wen Liu, Guang-Hui Liu, Zunpeng Song, Moshi Zhang, Weiqi Han, Jing-Dong Carlos, Juan Le, Wenqing Liu, Xiuxing Su, Wenru Wang, Hongyang Wen, Wen Xiao, Chuanle Ye, Jinguo Zheng, Yingfeng Huang, Zhaohao Li, He Ma, Shuai Wang, Si Xie, Lihui Ye, Yanxia Belmonte, Izpisua
Source	Medline; PMC
abstract	Age-associated changes in immune cells have been linked to an increased risk for infection. However, a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking. Here, we combined scRNA-seq, mass cytometry and scATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19. We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector, cytotoxic, exhausted and regulatory cells, along with increased late natural killer cells, age-associated B cells, inflammatory monocytes and age-associated dendritic cells. In addition, the expression of genes, which were implicated in coronavirus susceptibility, was upregulated in a cell subtype-specific manner with age. Notably, COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senescence. Therefore, these findings suggest that a dysregulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13238-020-00762-2) contains supplementary material, which is available to authorized users.
has issue date	2020-08-11(xsd:dateTime)
bibo:doi	10.1007/s13238-020-00762-2
bibo:pmid	32780218
has license	cc-by
sha1sum (hex)	cf91c6f403214160599b2ee141a0cc89c5cc95ad
schema:url	https://doi.org/10.1007/s13238-020-00762-2
resource representing a document's title	A human circulating immune cell landscape in aging and COVID-19
has PubMed Central identifier	PMC7417788
has PubMed identifier	32780218
schema:publication	Protein Cell
resource representing a document's body	covid:cf91c6f403214160599b2ee141a0cc89c5cc95ad#body_text
is schema:about of	named entity 'naive' named entity 'gene' named entity 'age' named entity 'inflammatory' named entity 'ASSOCIATED WITH' named entity 'GENES' named entity 'LANDSCAPE' named entity 'FOUND' named entity 'SARS-CoV-2' named entity 'circulating' named entity 'cells' named entity 'equally' named entity 'promoted' named entity 'susceptibility' named entity 'susceptibility' named entity 'circulating' named entity 'immune cell' named entity 'COVID-19' named entity 'effector' named entity 'peripheral blood' named entity 'gene expression' named entity 'mass cytometry' named entity 'memory cells' named entity 'gene expression' named entity 'immune cell' named entity 'COVID' named entity 'cell polarization' named entity 'signaling pathway' named entity 't-SNE' named entity 'immune cell' named entity 'scRNA-seq' named entity 'expression analysis' named entity 'CCR10' named entity 'TXNIP' named entity 'FOSL2' named entity 'proinflammatory' named entity 'IL1B' named entity 'COVID-19' named entity 'CD4' named entity 'HLA-DR' named entity 'CIS' named entity 'IL1B' named entity 'BCR' named entity 'aging-related' named entity 'plasma' named entity 'Cell Staining' named entity 'JUNB' named entity 'Single-Cell' named entity 'CD45' named entity 'APC' named entity 'COVID-19' named entity 'CD19' named entity 'antigen presentation' named entity 'CD57' named entity 'scRNA-seq' named entity 'T/B cell' named entity 'aging-related' named entity 'ISG20' named entity 'cDC2'

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