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10.1007/s11684-020-0754-0

http://scihub22266oqcxt.onion/10.1007/s11684-020-0754-0
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suck abstract from ncbi


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pmid32170560      Front+Med 2020 ; 14 (2): 185-192
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  • Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection #MMPMID32170560
  • Zou X; Chen K; Zou J; Han P; Hao J; Han Z
  • Front Med 2020[Apr]; 14 (2): 185-192 PMID32170560show ga
  • It has been known that, the novel coronavirus, 2019-nCoV, which is considered similar to SARS-CoV, invades human cells via the receptor angiotensin converting enzyme II (ACE2). Moreover, lung cells that have ACE2 expression may be the main target cells during 2019-nCoV infection. However, some patients also exhibit non-respiratory symptoms, such as kidney failure, implying that 2019-nCoV could also invade other organs. To construct a risk map of different human organs, we analyzed the single-cell RNA sequencing (scRNA-seq) datasets derived from major human physiological systems, including the respiratory, cardiovascular, digestive, and urinary systems. Through scRNA-seq data analyses, we identified the organs at risk, such as lung, heart, esophagus, kidney, bladder, and ileum, and located specific cell types (i.e., type II alveolar cells (AT2), myocardial cells, proximal tubule cells of the kidney, ileum and esophagus epithelial cells, and bladder urothelial cells), which are vulnerable to 2019-nCoV infection. Based on the findings, we constructed a risk map indicating the vulnerability of different organs to 2019-nCoV infection. This study may provide potential clues for further investigation of the pathogenesis and route of 2019-nCoV infection.
  • |Angiotensin-Converting Enzyme 2[MESH]
  • |Betacoronavirus/*physiology[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*genetics[MESH]
  • |Humans[MESH]
  • |Organ Specificity[MESH]
  • |Pandemics[MESH]
  • |Peptidyl-Dipeptidase A/*genetics[MESH]
  • |Pneumonia, Viral/*genetics[MESH]
  • |RNA-Seq[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2[MESH]


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