Evidence map›Paper›PMID 29950518›Full record

ArticleRNA (New York, N.Y.)2018

Identification and removal of sequencing artifacts produced by mispriming during reverse transcription in multiple RNA-seq technologies.

Haridha Shivram, Vishwanath R Iyer

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
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  4. Review
  5. TargetedCell reports methods · 2023
    Article
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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

2 authors.

Haridha ShivramCenter for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas at Austin, Austin, Texas 78712, USA.
Vishwanath R IyerCenter for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, Department of Molecular Biosciences, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 0000-0003-3383-248X

Funding

Novel role of the polycomb repressive complex PRC2/EZH2 in glioblastomaR21CA198648 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI IYER, VISHWANATH R · 2016 to 2017
$387k
NCI NIH HHS R21 CA198648
6 · The paper itself

Abstract

The quality of RNA sequencing data relies on specific priming by the primer used for reverse transcription (RT-primer). Nonspecific annealing of the RT-primer to the RNA template can generate reads with incorrect cDNA ends and can cause misinterpretation of data (RT mispriming). This kind of artifact in RNA-seq based technologies is underappreciated and currently no adequate tools exist to computationally remove them from published data sets. We show that mispriming can occur with as little as two bases of complementarity at the 3' end of the primer followed by intermittent regions of complementarity. We also provide a computational pipeline that identifies cDNA reads produced from RT mispriming, allowing users to filter them out from any aligned data set. Using this analysis pipeline, we identify thousands of mispriming events in a dozen published data sets from diverse technologies including short RNA-seq, total/mRNA-seq, HITS-CLIP, and GRO-seq. We further show how RT mispriming can lead to misinterpretation of data. In addition to providing a solution to computationally remove RT-misprimed reads, we also propose an experimental solution to completely avoid RT-mispriming by performing RNA-seq using thermostable group II intron derived reverse transcriptase (TGIRT-seq).

Indexed as

ArtifactsCell Line, TumorComputational BiologyHigh-Throughput Nucleotide SequencingHumansReverse Transcriptase Polymerase Chain ReactionReverse TranscriptionRNA ProbesSequence Analysis, RNARNA ProbesartifactsEZH2GRO-seqHITS-CLIPmisprimingpolycomb repressive complex (PRC2)reverse transcriptasereverse transcriptionRNA-bindingRNA sequencing (RNA-seq)short RNA-seqTGIRT

Identifiers

PMID29950518
PMCPMC6097653

What OpenQuestion holds

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LicenceCC BY-NC
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.