Evidence map›Paper›PMID 25879746›Full record

ArticleVirology journal2015

A general method to eliminate laboratory induced recombinants during massive, parallel sequencing of cDNA library.

Caryll Waugh, Deborah Cromer, Andrew Grimm, Abha Chopra, Simon Mallal, Miles Davenport, Johnson Mak

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

12 citing papers in PubMed, 15 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.

Caryll WaughSchool of Medicine, Deakin University and CSIRO(AAHL), Geelong, VIC, Australia. caryll.waugh@csiro.au.
Deborah CromerCentre for Vascular Research, University of NSW, Sydney, NSW, Australia. d.cromer@unsw.edu.au.
Andrew GrimmCentre for Vascular Research, University of NSW, Sydney, NSW, Australia. a.grimm@unsw.edu.au.
Abha ChopraInstitute for Immunology and infectious diseases (IIID), Murdoch University, Perth, WA, Australia. a.chopra@iiid.com.au.
Simon MallalInstitute for Immunology and infectious diseases (IIID), Murdoch University, Perth, WA, Australia. S.Mallal@murdoch.edu.au.
Miles DavenportCentre for Vascular Research, University of NSW, Sydney, NSW, Australia. M.Davenport@unsw.edu.au.
Johnson MakSchool of Medicine, Deakin University and CSIRO(AAHL), Geelong, VIC, Australia. j.mak@deakin.edu.au.
Murdoch University · AUAustralian Centre for Disease Preparedness · AUDeakin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMassive, parallel sequencing is a potent tool for dissecting the regulation of biological processes by revealing the dynamics of the cellular RNA profile under different conditions. Similarly, massive, parallel sequencing can be used to reveal the complexity of viral quasispecies that are often found in the RNA virus infected host. However, the production of cDNA libraries for next-generation sequencing (NGS) necessitates the reverse transcription of RNA into cDNA and the amplification of the cDNA template using PCR, which may introduce artefact in the form of phantom nucleic acids species that can bias the composition and interpretation of original RNA profiles.

methodUsing HIV as a model we have characterised the major sources of error during the conversion of viral RNA to cDNA, namely excess RNA template and the RNaseH activity of the polymerase enzyme, reverse transcriptase. In addition we have analysed the effect of PCR cycle on detection of recombinants and assessed the contribution of transfection of highly similar plasmid DNA to the formation of recombinant species during the production of our control viruses.

resultsWe have identified RNA template concentrations, RNaseH activity of reverse transcriptase, and PCR conditions as key parameters that must be carefully optimised to minimise chimeric artefacts.

conclusionsUsing our optimised RT-PCR conditions, in combination with our modified PCR amplification procedure, we have developed a reliable technique for accurate determination of RNA species using NGS technology.

Indexed as

ArtifactsGene LibraryHigh-Throughput Nucleotide SequencingCell LineHIV-1HIV InfectionsHumansPolymerase Chain ReactionReassortant VirusesReverse Transcriptase Polymerase Chain ReactionTransfection

Identifiers

PMID25879746
PMCPMC4403950
OpenAlexW1978894791

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.