Evidence map›Paper›PMID 26919232›Full record

ArticlePLoS pathogens2016

High-Resolution Analysis of Coronavirus Gene Expression by RNA Sequencing and Ribosome Profiling.

Nerea Irigoyen, Andrew E Firth, Joshua D Jones, Betty Y-W Chung, Stuart G Siddell, Ian Brierley

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

150 citing papers in PubMed, 233 citations in OpenAlex.

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  20. Interactions of SARS-CoV-2 with Human Target Cells-A Metabolic View.International journal of molecular sciences · 2024
    Review

90 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Nerea IrigoyenDivision of Virology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom.
Andrew E FirthDivision of Virology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom.
Joshua D JonesDivision of Virology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom.
Betty Y-W ChungDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
Stuart G SiddellDepartment of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom.
Ian BrierleyDivision of Virology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBUniversity of Bristol · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J007072/1Biotechnology and Biological Sciences Research Council BB/J015652/1Biotechnology and Biological Sciences Research Council BB/L000334/1Medical Research Council MR/M011747/1Wellcome TrustWellcome Trust 088789Wellcome Trust 106207
6 · The paper itself

Abstract

Members of the family Coronaviridae have the largest genomes of all RNA viruses, typically in the region of 30 kilobases. Several coronaviruses, such as Severe acute respiratory syndrome-related coronavirus (SARS-CoV) and Middle East respiratory syndrome-related coronavirus (MERS-CoV), are of medical importance, with high mortality rates and, in the case of SARS-CoV, significant pandemic potential. Other coronaviruses, such as Porcine epidemic diarrhea virus and Avian coronavirus, are important livestock pathogens. Ribosome profiling is a technique which exploits the capacity of the translating ribosome to protect around 30 nucleotides of mRNA from ribonuclease digestion. Ribosome-protected mRNA fragments are purified, subjected to deep sequencing and mapped back to the transcriptome to give a global "snap-shot" of translation. Parallel RNA sequencing allows normalization by transcript abundance. Here we apply ribosome profiling to cells infected with Murine coronavirus, mouse hepatitis virus, strain A59 (MHV-A59), a model coronavirus in the same genus as SARS-CoV and MERS-CoV. The data obtained allowed us to study the kinetics of virus transcription and translation with exquisite precision. We studied the timecourse of positive and negative-sense genomic and subgenomic viral RNA production and the relative translation efficiencies of the different virus ORFs. Virus mRNAs were not found to be translated more efficiently than host mRNAs; rather, virus translation dominates host translation at later time points due to high levels of virus transcripts. Triplet phasing of the profiling data allowed precise determination of translated reading frames and revealed several translated short open reading frames upstream of, or embedded within, known virus protein-coding regions. Ribosome pause sites were identified in the virus replicase polyprotein pp1a ORF and investigated experimentally. Contrary to expectations, ribosomes were not found to pause at the ribosomal frameshift site. To our knowledge this is the first application of ribosome profiling to an RNA virus.

Indexed as

Gene Expression Regulation, ViralAnimalsCell LineFrameshifting, RibosomalGene Expression ProfilingKineticsMesocricetusMiceMurine hepatitis virusOpen Reading FramesProtein BiosynthesisRestriction MappingRibosomesRNA, MessengerRNA, ViralSequence Analysis, RNARNA, MessengerRNA, ViralViral Proteins

Identifiers

PMID26919232
PMCPMC4769073
OpenAlexW2275381817

What OpenQuestion 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 OpenQuestion graph.