Evidence map›Paper›PMID 33534793›Full record

ArticlePLoS computational biology2021

ViralLink: An integrated workflow to investigate the effect of SARS-CoV-2 on intracellular signalling and regulatory pathways.

Agatha Treveil, Balazs Bohar, Padhmanand Sudhakar, Lejla Gul, Luca Csabai, Marton Olbei, Martina Poletti, Matthew Madgwick, Tahila Andrighetti, Isabelle Hautefort and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  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

12 authors at 3 institutions in 4 countries.

Agatha TreveilEarlham Institute, Norwich, United Kingdom.ORCID 0000-0002-5600-8189
Balazs BoharEarlham Institute, Norwich, United Kingdom.
Padhmanand SudhakarEarlham Institute, Norwich, United Kingdom.ORCID 0000-0003-1907-4491
Lejla GulEarlham Institute, Norwich, United Kingdom.
Luca CsabaiEarlham Institute, Norwich, United Kingdom.ORCID 0000-0003-3669-0042
Marton OlbeiEarlham Institute, Norwich, United Kingdom.ORCID 0000-0002-4903-6237
Martina PolettiEarlham Institute, Norwich, United Kingdom.ORCID 0000-0002-0066-7687
Matthew MadgwickEarlham Institute, Norwich, United Kingdom.
Tahila AndrighettiEarlham Institute, Norwich, United Kingdom.ORCID 0000-0003-3402-8338
Isabelle HautefortEarlham Institute, Norwich, United Kingdom.
Dezso ModosEarlham Institute, Norwich, United Kingdom.ORCID 0000-0001-9412-6867
Tamas KorcsmarosEarlham Institute, Norwich, United Kingdom.ORCID 0000-0003-1717-996X
Quadram Institute · GBEarlham Institute · GBEötvös Loránd University · HU

Funding

Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10353Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10355Biotechnology and Biological Sciences Research Council BBS/E/T/000PR9817
6 · The paper itself

Abstract

The SARS-CoV-2 pandemic of 2020 has mobilised scientists around the globe to research all aspects of the coronavirus virus and its infection. For fruitful and rapid investigation of viral pathomechanisms, a collaborative and interdisciplinary approach is required. Therefore, we have developed ViralLink: a systems biology workflow which reconstructs and analyses networks representing the effect of viruses on intracellular signalling. These networks trace the flow of signal from intracellular viral proteins through their human binding proteins and downstream signalling pathways, ending with transcription factors regulating genes differentially expressed upon viral exposure. In this way, the workflow provides a mechanistic insight from previously identified knowledge of virally infected cells. By default, the workflow is set up to analyse the intracellular effects of SARS-CoV-2, requiring only transcriptomics counts data as input from the user: thus, encouraging and enabling rapid multidisciplinary research. However, the wide-ranging applicability and modularity of the workflow facilitates customisation of viral context, a priori interactions and analysis methods. Through a case study of SARS-CoV-2 infected bronchial/tracheal epithelial cells, we evidence the functionality of the workflow and its ability to identify key pathways and proteins in the cellular response to infection. The application of ViralLink to different viral infections in a context specific manner using different available transcriptomics datasets will uncover key mechanisms in viral pathogenesis.

Indexed as

Gene Expression Regulation, ViralSignal TransductionAlgorithmsBronchiCluster AnalysisComputational BiologyCOVID-19Gene Expression ProfilingHost-Pathogen InteractionsHumansInterdisciplinary ResearchLungModels, StatisticalSARS-CoV-2Systems BiologyTranscriptome

Identifiers

PMID33534793
PMCPMC7886129
OpenAlexW3126956114

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.