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10.1016/j.cell.2021.01.053 http://scihub22266oqcxt.onion/10.1016/j.cell.2021.01.053 33657410!7857060!33657410     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell 2021 ; 184 (7): 1895-1913.e19 Nephropedia Template TP {{tp|p=33657410|t=2021. COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas |pdf=|usr=}}{{33657410}} gab.com Text COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas JO: Cell http://www.kidney.de/pget.php?&tw=1&pmid=33657410 #FOAvip A dysfunctional immune response in coronavirus disease 2019 (COVID-19) patients is a recurrent theme impacting symptoms and mortality, yet a detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 196 COVID-19 patients and controls and created a comprehensive immune landscape with 1.46 million cells. The large dataset enabled us to identify that different peripheral immune subtype changes are associated with distinct clinical features, including age, sex, severity, and disease stages of COVID-19. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was found in diverse epithelial and immune cell types, accompanied by dramatic transcriptomic changes within virus-positive cells. Systemic upregulation of S100A8/A9, mainly by megakaryocytes and monocytes in the peripheral blood, may contribute to the cytokine storms frequently observed in severe patients. Our data provide a rich resource for understanding the pathogenesis of and developing effective therapeutic strategies for COVID-19. Twit Text FOAVip COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas ????Cell http://www.kidney.de/pget.php?&tw=1&pmid=33657410 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33657410 #FOAvip English Wikipedia <ref>{{Cite pmid|33657410}}</ref> COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas #MMPMID33657410 Ren X; Wen W; Fan X; Hou W; Su B; Cai P; Li J; Liu Y; Tang F; Zhang F; Yang Y; He J; Ma W; He J; Wang P; Cao Q; Chen F; Chen Y; Cheng X; Deng G; Deng X; Ding W; Feng Y; Gan R; Guo C; Guo W; He S; Jiang C; Liang J; Li YM; Lin J; Ling Y; Liu H; Liu J; Liu N; Liu SQ; Luo M; Ma Q; Song Q; Sun W; Wang G; Wang F; Wang Y; Wen X; Wu Q; Xu G; Xie X; Xiong X; Xing X; Xu H; Yin C; Yu D; Yu K; Yuan J; Zhang B; Zhang P; Zhang T; Zhao J; Zhao P; Zhou J; Zhou W; Zhong S; Zhong X; Zhang S; Zhu L; Zhu P; Zou B; Zou J; Zuo Z; Bai F; Huang X; Zhou P; Jiang Q; Huang Z; Bei JX; Wei L; Bian XW; Liu X; Cheng T; Li X; Zhao P; Wang FS; Wang H; Su B; Zhang Z; Qu K; Wang X; Chen J; Jin R; Zhang Z Cell 2021[Apr]; 184 (7): 1895-1913.e19 PMID33657410show ga A dysfunctional immune response in coronavirus disease 2019 (COVID-19) patients is a recurrent theme impacting symptoms and mortality, yet a detailed understanding of pertinent immune cells is not complete. We applied single-cell RNA sequencing to 284 samples from 196 COVID-19 patients and controls and created a comprehensive immune landscape with 1.46 million cells. The large dataset enabled us to identify that different peripheral immune subtype changes are associated with distinct clinical features, including age, sex, severity, and disease stages of COVID-19. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was found in diverse epithelial and immune cell types, accompanied by dramatic transcriptomic changes within virus-positive cells. Systemic upregulation of S100A8/A9, mainly by megakaryocytes and monocytes in the peripheral blood, may contribute to the cytokine storms frequently observed in severe patients. Our data provide a rich resource for understanding the pathogenesis of and developing effective therapeutic strategies for COVID-19. |*RNA, Viral/blood/isolation & purification[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/*immunology[MESH] |Child[MESH] |China[MESH] |Cohort Studies[MESH] |Cytokines/metabolism[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Megakaryocytes/*immunology[MESH] |Middle Aged[MESH] |Monocytes/*immunology[MESH] |SARS-CoV-2/*genetics[MESH] |Single-Cell Analysis[MESH] |Transcriptome/immunology[MESH]COVID-19 immune features revealed by a large-scale single-cell transcr(epmc).pdf DeepDyve Pubget Overpricing