Evidence map›Paper›PMID 35639883›Full record

ArticleGigaScience2022

Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers.

Xiaofeng Dong, Rebekah Penrice-Randal, Hannah Goldswain, Tessa Prince, Nadine Randle, I'ah Donovan-Banfield, Francisco J Salguero, Julia Tree, Ecaterina Vamos, Charlotte Nelson and 11 more

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Article
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  8. Review
  9. Article
  10. sgRNAs: A SARS-CoV-2 emerging issue.Aspects of molecular medicine · 2023
    Review
  11. 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

21 authors at 6 institutions in 3 countries.

Xiaofeng DongInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.
Rebekah Penrice-RandalInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.ORCID 0000-0002-0653-2097
Hannah GoldswainInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.ORCID 0000-0003-4194-8714
Tessa PrinceInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.ORCID 0000-0002-8796-2629
Nadine RandleInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.ORCID 0000-0002-3775-9585
I'ah Donovan-BanfieldInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.
Francisco J SalgueroUK-Health Security Agency, Salisbury, SP4 0JG, UK.ORCID 0000-0002-5315-3882
Julia TreeUK-Health Security Agency, Salisbury, SP4 0JG, UK.ORCID 0000-0002-1720-6764
Ecaterina VamosInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.
Charlotte NelsonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.
Jordan ClarkInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.
Yan RyanInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.
James P StewartInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.ORCID 0000-0002-8928-2037
Malcolm G SempleInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.ORCID 0000-0001-9700-0418
J Kenneth BaillieThe Roslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, UK.ORCID 0000-0001-5258-793X
Peter J M OpenshawNational Heart and Lung Institute, Imperial College London, London, SW3 6LY, UK.ORCID 0000-0002-7220-2555
Lance TurtleInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.ORCID 0000-0002-0778-1693
David A MatthewsUniversity of Bristol, Bristol, BS8 1QU, UK.ORCID 0000-0003-4611-8795
Miles W CarrollNIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, Liverpool, L69 7BE, UK.ORCID 0000-0002-7026-7187
Alistair C DarbyInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.ORCID 0000-0002-3786-6209
Julian A HiscoxInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.ORCID 0000-0002-6582-0275
University of Liverpool · GBEnvironment Agency · GBAgency for Science, Technology and Research · SGLung Institute · USRoslin Institute · GBUniversity of Bristol · GB

Funding

FDA HHS 75F40120C00085Medical Research Council MC_PC_19025Medical Research Council MC_PC_19027Medical Research Council MC_PC_19059Medical Research Council MR/W005611/1Wellcome Trust 215091/Z/18/Z
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a complex strategy for the transcription of viral subgenomic mRNAs (sgmRNAs), which are targets for nucleic acid diagnostics. Each of these sgmRNAs has a unique 5' sequence, the leader-transcriptional regulatory sequence gene junction (leader-TRS junction), that can be identified using sequencing. High-resolution sequencing has been used to investigate the biology of SARS-CoV-2 and the host response in cell culture and animal models and from clinical samples. LeTRS, a bioinformatics tool, was developed to identify leader-TRS junctions and can be used as a proxy to quantify sgmRNAs for understanding virus biology. LeTRS is readily adaptable for other coronaviruses such as Middle East respiratory syndrome coronavirus or a future newly discovered coronavirus. LeTRS was tested on published data sets and novel clinical samples from patients and longitudinal samples from animal models with coronavirus disease 2019. LeTRS identified known leader-TRS junctions and identified putative novel sgmRNAs that were common across different mammalian species. This may be indicative of an evolutionary mechanism where plasticity in transcription generates novel open reading frames, which can then subject to selection pressure. The data indicated multiphasic abundance of sgmRNAs in two different animal models. This recapitulates the relative sgmRNA abundance observed in cells at early points in infection but not at late points. This pattern is reflected in some human nasopharyngeal samples and therefore has implications for transmission models and nucleic acid-based diagnostics. LeTRS provides a quantitative measure of sgmRNA abundance from sequencing data. This can be used to assess the biology of SARS-CoV-2 (or other coronaviruses) in clinical and nonclinical samples, especially to evaluate different variants and medical countermeasures that may influence viral RNA synthesis.

Indexed as

COVID-19SARS-CoV-2AnimalsCell Culture TechniquesComputational BiologyHumansMammalsModels, AnimalRNA, MessengerRNA, MessengercoronavirusCOVID-19direct RNA sequencingnanoporeRNA modificationSARS-CoV-2sgmRNAsubgenomic mRNAtranscriptional regulatory sequences

Identifiers

PMID35639883
PMCPMC9154083
OpenAlexW4282925344

What OpenQuestion holds

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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 OpenQuestion graph.