Evidence map›Paper›PMID 32642770›Full record

ArticleJournal of molecular cell biology2020

Proteome-wide data analysis reveals tissue-specific network associated with SARS-CoV-2 infection.

Li Feng, Yuan-Yuan Yin, Cong-Hui Liu, Ke-Ren Xu, Qing-Run Li, Jia-Rui Wu, Rong Zeng

Open access · goldAbstract read
In one paragraph

Article in Journal of molecular cell biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Circulating Peptidome Is Strongly Altered in COVID-19 Patients.International journal of environmental research and public health · 2023
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. The adaptation of SARS-CoV-2 to humans.Memorias do Instituto Oswaldo Cruz · 2022
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. The networks of mAging · 2021
    Article
  20. 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

7 authors at 3 institutions in 1 country.

Li FengCAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Mollecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Yuan-Yuan YinCAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Mollecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Cong-Hui LiuCAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Mollecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Ke-Ren XuCAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Mollecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Qing-Run LiCAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Mollecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Jia-Rui WuCAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Mollecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Rong ZengCAS Key Laboratory of Systems Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Mollecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
Chinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CNCenter for Excellence in Molecular Cell Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the damages to multiple organs have been clinically observed. Since most of current investigations for virus-host interaction are based on cell level, there is an urgent demand to probe tissue-specific features associated with SARS-CoV-2 infection. Based on collected proteomic datasets from human lung, colon, kidney, liver, and heart, we constructed a virus-receptor network, a virus-interaction network, and a virus-perturbation network. In the tissue-specific networks associated with virus-host crosstalk, both common and different key hubs are revealed in diverse tissues. Ubiquitous hubs in multiple tissues such as BRD4 and RIPK1 would be promising drug targets to rescue multi-organ injury and deal with inflammation. Certain tissue-unique hubs such as REEP5 might mediate specific olfactory dysfunction. The present analysis implies that SARS-CoV-2 could affect multi-targets in diverse host tissues, and the treatment of COVID-19 would be a complex task.

Indexed as

SARS-CoV-2Bromodomain Containing ProteinsCell Cycle ProteinsColonCOVID-19HeartHost Microbial InteractionsHumansKidneyLiverLungMembrane ProteinsMetabolic Networks and PathwaysMyocardiumPandemicsProtein Interaction MapsBRD4 protein, humanBromodomain Containing ProteinsCell Cycle ProteinsMembrane ProteinsProteomeReceptor-Interacting Protein Serine-Threonine KinasesReceptors, VirusREEP5 protein, humanRIPK1 protein, humanTranscription Factorsproteome-wideSARS-CoV-2tissue-specific

Identifiers

PMID32642770
PMCPMC7454804
OpenAlexW3042158485

What OpenQuestion holds

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LicenceCC BY-NC
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.