Evidence map›Paper›PMID 34487344›Full record

ArticleJournal of cell communication and signaling2021

A pathway map of signaling events triggered upon SARS-CoV infection.

K T Shreya Parthasarathi, Nupur S Munjal, Gourav Dey, Abhishek Kumar, Akhilesh Pandey, Lavanya Balakrishnan, Jyoti Sharma

Abstract read
In one paragraph

Article in Journal of cell communication and signaling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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.

K T Shreya Parthasarathi *Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Nupur S Munjal *Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Gourav DeyInstitute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Abhishek KumarInstitute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Akhilesh PandeyCenter for Molecular Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore, 560029, India.
Lavanya BalakrishnanMazumdar Shaw Center for Translational Research, Narayana Hrudayalaya Health City, Bangalore, India. lavanya.ibioinformatics@gmail.com.
Jyoti SharmaInstitute of Bioinformatics, International Technology Park, Bangalore, 560066, India. jyoti@ibioinformatics.org.ORCID http://orcid.org/0000-0003-3299-9907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronaviruses (SARS-CoVs) caused worldwide epidemics over the past few decades. Extensive studies on various strains of coronaviruses provided a basic understanding of the pathogenesis of the disease. Presently, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is leading a global pandemic with unprecedented challenges. This is the third coronavirus outbreak of this century. A signaling pathway map of signaling events induced by SARS-CoV infection is not yet available. In this study, we present a literature-annotated signaling pathway map of reactions induced by SARS-CoV infected cells. Multiple signaling modules were found to be orchestrated including PI3K-AKT, Ras-MAPK, JAK-STAT, Type 1 IFN and NFκB. The signaling pathway map of SARS-CoV consists of 110 molecules and 101 reactions mediated by SARS-CoV proteins. The pathway reaction data are available in various community standard data exchange formats including Systems Biology Graphical Notation (SBGN). The pathway map is publicly available through the GitHub repository and data in various formats can be freely downloadable.

Indexed as

COVID-19Differential expressionPost-translational modificationsProtein–protein interactionTranslocation

Identifiers

PMID34487344
PMCPMC8419830

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.