Evidence map›Paper›PMID 31189700›Full record

ArticleJournal of virology2019

Analysis of Paramyxovirus Transcription and Replication by High-Throughput Sequencing.

Elizabeth B Wignall-Fleming, David J Hughes, Sreenu Vattipally, Sejal Modha, Steve Goodbourn, Andrew J Davison, Richard E Randall

Open access · hybridAbstract read
In one paragraph

Article in Journal of virology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 51 citations in OpenAlex.

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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.

Elizabeth B Wignall-FlemingSchool of Biology, Centre for Biomolecular Sciences, University of St. Andrews, St. Andrews, Fife, United Kingdom.
David J HughesSchool of Biology, Centre for Biomolecular Sciences, University of St. Andrews, St. Andrews, Fife, United Kingdom.ORCID 0000-0002-0090-5710
Sreenu VattipallyMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Sejal ModhaMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Steve GoodbournDivision of Basic Medical Sciences, St. George's, University of London, London, United Kingdom.
Andrew J DavisonMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.
Richard E RandallSchool of Biology, Centre for Biomolecular Sciences, University of St. Andrews, St. Andrews, Fife, United Kingdom rer@st-and.ac.uk.
MRC University of Glasgow Centre for Virus Research · GBUniversity of St Andrews · GBSt George's, University of London · GB

Funding

Medical Research Council G0801822Medical Research Council MC_UU_12014/12Medical Research Council MC_UU_12014/3Wellcome TrustWellcome Trust 101788/Z/13/ZWellcome Trust 101792/Z/13/ZWellcome Trust 109056/Z/15/A
6 · The paper itself

Abstract

We have developed a high-throughput sequencing (HTS) workflow for investigating paramyxovirus transcription and replication. We show that sequencing of oligo(dT)-selected polyadenylated mRNAs, without considering the orientation of the RNAs from which they had been generated, cannot accurately be used to analyze the abundance of viral mRNAs because genomic RNA copurifies with the viral mRNAs. The best method is directional sequencing of infected cell RNA that has physically been depleted of ribosomal and mitochondrial RNA followed by bioinformatic steps to differentiate data originating from genomes from viral mRNAs and antigenomes. This approach has the advantage that the abundance of viral mRNA (and antigenomes) and genomes can be analyzed and quantified from the same data. We investigated the kinetics of viral transcription and replication during infection of A549 cells with parainfluenza virus type 2 (PIV2), PIV3, PIV5, or mumps virus and determined the abundances of individual viral mRNAs and readthrough mRNAs. We found that the mRNA abundance gradients differed significantly between all four viruses but that for each virus the pattern remained relatively stable throughout infection. We suggest that rapid degradation of non-poly(A) mRNAs may be primarily responsible for the shape of the mRNA abundance gradient in parainfluenza virus 3, whereas a combination of this factor and disengagement of RNA polymerase at intergenic sequences, particularly those at the NP:P and P:M gene boundaries, may be responsible in the other viruses.

Indexed as

A549 CellsGene Expression ProfilingGene Expression Regulation, ViralGenome SizeHigh-Throughput Nucleotide SequencingHumansParamyxoviridae InfectionsParamyxovirinaeRNA, MessengerRNA, ViralSpecies SpecificityVirus ReplicationWhole Genome SequencingRNA, MessengerRNA, Viralhigh-throughput sequencingparamyxovirusreplicationtranscription

Identifiers

PMID31189700
PMCPMC6694822
OpenAlexW2968935832

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.