Frontiers of Medicine · 2020 · 2.4K citations · 20 references
Life SciencesCell BiologyMolecular BiologyCell SignalingGene ExpressionTranscriptomicsInnate Immune Signaling PathwaysSingle-cell AnalysisSingle-cell GenomicsSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsViral InfectionsSingle-cell Expression SignaturesSingle-cell Gene Expression ProfilingSingle-cell Rna Sequencing
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.
20
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Peng Zhou, Xing‐Lou Yang, Xian-Guang Wang et al. · Nature · 2020 · 23.3K citations · Full text
Inge Hamming, Wim Timens, MLC Bulthuis et al. · The Journal of Pathology · 2004 · 5.9K citations · Full text
Veterinary Medicine, Infectious Diseases, Molecular Biology +11
Dimensionality reduction for visualizing single-cell data using UMAP
Étienne Becht, Leland McInnes, John Healy et al. · Nature Biotechnology · 2018 · 5.8K citations
Xintian Xu, Ping Chen, Jingfang Wang et al. · Science China Life Sciences · 2020 · 2.3K citations · Full text
Life Sciences, Evolutionary Biology, Infectious Diseases +17