Evidence map›Paper›PMID 32714119›Full record

ArticleSSRN2020

A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors.

Manvendra Singh, Vikas Bansal, Cédric Feschotte

Open access · greenAbstract readPreprint
In one paragraph

Article in SSRN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Manvendra SinghDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.
Vikas BansalBiomedical Data Science and Machine Learning Group, DZNE, Tübingen, Germany.
Cédric FeschotteDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.
Cornell University · USGerman Center for Neurodegenerative Diseases · DE

Funding

Genomic and Physiological Impact of Transposable Elements.R35GM122550 · NIGMS · CORNELL UNIVERSITY · PI Cedric Feschotte · 2017 to 2026
$4.4M
NIGMS NIH HHS R35 GM122550
6 · The paper itself

Abstract

To predict the tropism of human coronaviruses, we profile 28 SCARFs using scRNA-seq data from a wide range of healthy human tissues. SCARFs include cellular factors both facilitating and restricting viral entry. Among adult organs, enterocytes and goblet cells of small intestine and colon, kidney proximal tubule cells, and gallbladder basal cells appear permissive to SARS-CoV-2, consistent with clinical data. Our analysis also suggests alternate entry paths for SARS-CoV-2 infection of the lung, CNS, and heart. We predict spermatogonial cells and prostate endocrine cells, but not ovarian cells, are highly permissive to SARS-CoV-2, suggesting male-specific vulnerabilities. Early embryonic and placental development show a moderate risk of infection. The nasal epithelium is characterized by high expression of both promoting and restricting factors and a potential age-dependent shift in SCARF expression. Lastly, SCARF expression appears broadly conserved across primate organs examined. Our study establishes an important resource for investigations of coronavirus pathology. Funding: M.S. is supported by a Presidential Postdoctoral Fellowship from Cornell University. V.B. is supported by a Career Development Fellowship at DZNE Tuebingen. Work on host-virus interactions in the Feschotte lab is funded by R35 GM122550 from the National Institutes of Health. Conflict of Interest: The authors declare that there is no conflict of interest.

Identifiers

PMID32714119
PMCPMC7366802
OpenAlexW3046706521

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.