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001     154308
005     20240223115102.0
024 7 _ |a 10.1016/j.celrep.2020.108175
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024 7 _ |a pmc:PMC7470764
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024 7 _ |a 2211-1247
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024 7 _ |a 2639-1856
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037 _ _ |a DZNE-2021-00162
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Singh, Manvendra
|0 P:(DE-HGF)0
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245 _ _ |a A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors.
260 _ _ |a [New York, NY]
|c 2020
|b Elsevier
336 7 _ |a article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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500 _ _ |a ISSN 2211-1247 not unique: **3 hits**.
520 _ _ |a To predict the tropism of human coronaviruses, we profile 28 SARS-CoV-2 and coronavirus-associated receptors and factors (SCARFs) using single-cell transcriptomics across various healthy human tissues. SCARFs include cellular factors both facilitating and restricting viral entry. Intestinal goblet cells, enterocytes, and kidney proximal tubule cells appear highly permissive to SARS-CoV-2, consistent with clinical data. Our analysis also predicts non-canonical entry paths for lung and brain infections. Spermatogonial cells and prostate endocrine cells also appear to be permissive to SARS-CoV-2 infection, suggesting male-specific vulnerabilities. Both pro- and anti-viral factors are highly expressed within the nasal epithelium, with potential age-dependent variation, predicting an important battleground for coronavirus infection. Our analysis also suggests that early embryonic and placental development are at moderate risk of infection. Lastly, SCARF expression appears broadly conserved across a subset of primate organs examined. Our study establishes a resource for investigations of coronavirus biology and pathology.
536 _ _ |a 342 - Disease Mechanisms and Model Systems (POF3-342)
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650 _ 7 |a COVID-19
|2 Other
650 _ 7 |a SARS-CoV-2
|2 Other
650 _ 7 |a coronaviruses
|2 Other
650 _ 7 |a restriction factors
|2 Other
650 _ 7 |a scRNA-seq
|2 Other
650 _ 7 |a viral receptors
|2 Other
650 _ 7 |a Receptors, Virus
|2 NLM Chemicals
650 _ 7 |a Peptidyl-Dipeptidase A
|0 EC 3.4.15.1
|2 NLM Chemicals
650 _ 7 |a ACE2 protein, human
|0 EC 3.4.17.23
|2 NLM Chemicals
650 _ 7 |a Angiotensin-Converting Enzyme 2
|0 EC 3.4.17.23
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650 _ 7 |a Serine Endopeptidases
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650 _ 7 |a TMPRSS2 protein, human
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650 _ 2 |a A549 Cells
|2 MeSH
650 _ 2 |a Angiotensin-Converting Enzyme 2
|2 MeSH
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a Betacoronavirus: growth & development
|2 MeSH
650 _ 2 |a COVID-19
|2 MeSH
650 _ 2 |a Cell Line
|2 MeSH
650 _ 2 |a Chlorocebus aethiops
|2 MeSH
650 _ 2 |a Coronavirus Infections: pathology
|2 MeSH
650 _ 2 |a Enterocytes: metabolism
|2 MeSH
650 _ 2 |a Gene Expression Profiling
|2 MeSH
650 _ 2 |a Goblet Cells: metabolism
|2 MeSH
650 _ 2 |a HEK293 Cells
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Kidney Tubules, Proximal: cytology
|2 MeSH
650 _ 2 |a Kidney Tubules, Proximal: metabolism
|2 MeSH
650 _ 2 |a Nasal Mucosa: metabolism
|2 MeSH
650 _ 2 |a Nasal Mucosa: virology
|2 MeSH
650 _ 2 |a Pandemics
|2 MeSH
650 _ 2 |a Peptidyl-Dipeptidase A: genetics
|2 MeSH
650 _ 2 |a Peptidyl-Dipeptidase A: metabolism
|2 MeSH
650 _ 2 |a Pneumonia, Viral: pathology
|2 MeSH
650 _ 2 |a Receptors, Virus: genetics
|2 MeSH
650 _ 2 |a SARS-CoV-2
|2 MeSH
650 _ 2 |a Serine Endopeptidases: genetics
|2 MeSH
650 _ 2 |a Serine Endopeptidases: metabolism
|2 MeSH
650 _ 2 |a Single-Cell Analysis
|2 MeSH
650 _ 2 |a Vero Cells
|2 MeSH
650 _ 2 |a Viral Tropism: genetics
|2 MeSH
650 _ 2 |a Virus Internalization
|2 MeSH
700 1 _ |a Bansal, Vikas
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700 1 _ |a Feschotte, Cédric
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773 _ _ |a 10.1016/j.celrep.2020.108175
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856 4 _ |y OpenAccess
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