Evidence map›Paper›PMID 32944935›Full record

ArticleJournal of cellular physiology2021

Single-cell RNA sequencing analysis of SARS-CoV-2 entry receptors in human organoids.

Rajasekaran Mahalingam, Prakash Dharmalingam, Abirami Santhanam, Sivareddy Kotla, Gangarao Davuluri, Harry Karmouty-Quintana, Guha Ashrith, Rajarajan A Thandavarayan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cellular physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.6field-weighted citation impact, top 20% of its field
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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Human Organoids and Organs-on-Chips for Addressing COVID-19 Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. The Progress of Intestinal Epithelial Models from Cell Lines to Gut-On-Chip.International journal of molecular sciences · 2021
    Review
  11. Review
  12. Review
  13. Article
  14. Recent advances in organoid development and applications in disease modeling.Biochimica et biophysica acta. Reviews on cancer · 2021
    Review
  15. Review
  16. Recent Advances of COVID-19 Modeling Based on Regenerative Medicine.Frontiers in cell and developmental biology · 2021
    Review
  17. Review
  18. Defense of COVID-19 by Human Organoids.Phenomics (Cham, Switzerland) · 2021
    Review
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Rajasekaran MahalingamLaboratory of Neuroimmunology, Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Prakash DharmalingamClonegene Biosystems, Chennai, Tamil Nadu, India.
Abirami SanthanamOphthalmology and Visual Science, University of Texas Health Science center, Houston, Texas, USA.
Sivareddy KotlaDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Gangarao DavuluriIntegrated Physiology and Molecular Metabolism, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Harry Karmouty-QuintanaDepartment of Biochemistry and Molecular Biology & Divisions of Critical Care, Pulmonary and Sleep Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Guha AshrithDepartment of Cardiology, Houston Methodist Hospital, Houston, Texas, USA.
Rajarajan A ThandavarayanDepartment of Biochemistry and Molecular Biology & Divisions of Critical Care, Pulmonary and Sleep Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0001-8452-2903
Methodist Hospital · USThe University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · USPennington Biomedical Research Center · US

Funding

American Heart Association 19TPA34880039 and 18IPA34170497
6 · The paper itself

Abstract

Coronavirus disease-2019 (COVID-19) is a global pandemic and caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has resulted in millions of deaths worldwide. Reports denote SARS-CoV-2 uses angiotensin-converting enzyme 2 (ACE2), transmembrane serine protease 2 (TMPRSS2) as its primary entry point into the host cell. However, understanding the biology behind this viral replication, disease mechanism and drug discovery efforts are limited due to the lack of a suitable experimental model. Here, we used single-cell RNA sequencing data of human organoids to analyze expressions of ACE2 and TMPRSS2, in addition to an array of RNA receptors to examine their role in SARS-CoV-2 pathogenesis. ACE2 is abundant in all organoids, except the prostate and brain, and TMPRSS2 is omnipresent. Innate immune pathways are upregulated in ACE2(+) cells of all organoids, except the lungs. Besides this, the expression of low-density lipoprotein receptor is highly enriched in ACE2(+) cells in intestinal, lung, and retinal organoids, with the highest expression in lung organoids. Collectively, this study demonstrates that the organoids can be used as an experimental platform to explore this novel virus disease mechanism and for drug development.

Indexed as

COVID-19OrganoidsAngiotensin-Converting Enzyme 2HumansModels, BiologicalReceptors, VirusSARS-CoV-2Sequence Analysis, RNASerine EndopeptidasesSingle-Cell AnalysisVirus InternalizationACE2 protein, humanAngiotensin-Converting Enzyme 2Receptors, VirusSerine EndopeptidasesTMPRSS2 protein, humanACE2COVID-19human organoidsSARS-CoV-2scRNA sequencingTMPRSS2

Identifiers

PMID32944935
PMCPMC7537521
OpenAlexW3087406623

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.