Evidence map›Paper›PMID 29703781›Full record

ArticleRNA (New York, N.Y.)2018

Simultaneous sequencing of coding and noncoding RNA reveals a human transcriptome dominated by a small number of highly expressed noncoding genes.

Vincent Boivin, Gabrielle Deschamps-Francoeur, Sonia Couture, Ryan M Nottingham, Philia Bouchard-Bourelle, Alan M Lambowitz, Michelle S Scott, Sherif Abou-Elela

Open access · bronzeAbstract 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 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
4.7field-weighted citation impact, top 3% 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

50 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
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  5. Definition of the components required for selective packaging of coronavirus genomic RNA.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  9. NewmedRxiv : the preprint server for health sciences · 2024
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  15. Article
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  19. CODA: a combo-Seq data analysis workflow.Briefings in bioinformatics · 2023
    Article
  20. Article
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

8 authors at 2 institutions in 2 countries.

Vincent BoivinDépartement de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada.
Gabrielle Deschamps-FrancoeurDépartement de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada.
Sonia CoutureDépartement de microbiologie et d'infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada.
Ryan M NottinghamInstitute for Cellular and Molecular Biology and Department of Molecular Biosciences, University of Texas at Austin, Austin, Texas 78712, USA.
Philia Bouchard-BourelleDépartement de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada.
Alan M LambowitzInstitute for Cellular and Molecular Biology and Department of Molecular Biosciences, University of Texas at Austin, Austin, Texas 78712, USA.
Michelle S ScottDépartement de biochimie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada.
Sherif Abou-ElelaDépartement de microbiologie et d'infectiologie, Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Québec J1E 4K8, Canada.
Université de Sherbrooke · CAThe University of Texas at Austin · US

Funding

RETROPLASMID AND GROUP II INTRON REVERSE TRANSCRIPTASESR01GM037949 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI LAMBOWITZ, ALAN M. · 1986 to 2019
$8.6M
CIHR PJT 153171NIGMS NIH HHS R01 GM037949
6 · The paper itself

Abstract

Comparing the abundance of one RNA molecule to another is crucial for understanding cellular functions but most sequencing techniques can target only specific subsets of RNA. In this study, we used a new fragmented ribodepleted TGIRT sequencing method that uses a thermostable group II intron reverse transcriptase (TGIRT) to generate a portrait of the human transcriptome depicting the quantitative relationship of all classes of nonribosomal RNA longer than 60 nt. Comparison between different sequencing methods indicated that FRT is more accurate in ranking both mRNA and noncoding RNA than viral reverse transcriptase-based sequencing methods, even those that specifically target these species. Measurements of RNA abundance in different cell lines using this method correlate with biochemical estimates, confirming tRNA as the most abundant nonribosomal RNA biotype. However, the single most abundant transcript is 7SL RNA, a component of the signal recognition particle.

Indexed as

TranscriptomeCell Line, TumorHigh-Throughput Nucleotide SequencingHumansProteinsRibonucleoproteinsRNA-Directed DNA PolymeraseRNA, MessengerRNA, Small NucleolarRNA, TransferRNA, UntranslatedSequence Analysis, RNAProteinsRibonucleoproteinsRNA-Directed DNA PolymeraseRNA, MessengerRNA, Small NucleolarRNA, TransferRNA, Untranslatedhigh-throughput sequencingnoncoding RNARNA detectionsnoRNAthermostable group II intron reverse transcriptasetranscriptome analysis

Identifiers

PMID29703781
PMCPMC6004057
OpenAlexW2802676735

What OpenQuestion holds

Textmetadata
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.