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

Overview of attention for article published in Virology Journal, April 2015
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35 Mendeley
Title
A general method to eliminate laboratory induced recombinants during massive, parallel sequencing of cDNA library
Published in
Virology Journal, April 2015
DOI 10.1186/s12985-015-0280-x
Pubmed ID
Authors

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

Abstract

Massive, 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. Using 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. We 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. Using 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Italy 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 23%
Student > Ph. D. Student 7 20%
Other 3 9%
Student > Master 3 9%
Librarian 2 6%
Other 4 11%
Unknown 8 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 23%
Medicine and Dentistry 6 17%
Biochemistry, Genetics and Molecular Biology 5 14%
Immunology and Microbiology 3 9%
Computer Science 1 3%
Other 3 9%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 April 2015.
All research outputs
#13,939,932
of 22,799,071 outputs
Outputs from Virology Journal
#1,483
of 3,043 outputs
Outputs of similar age
#134,923
of 264,946 outputs
Outputs of similar age from Virology Journal
#33
of 51 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.