Evidence map›Paper›PMID 31138886›Full record

ArticleScientific reports2019

Improved TGIRT-seq methods for comprehensive transcriptome profiling with decreased adapter dimer formation and bias correction.

Hengyi Xu, Jun Yao, Douglas C Wu, Alan M Lambowitz

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The regulation, function and disease relevance of cytoplasmic tRNAs.Nature reviews. Molecular cell biology · 2026
    Review
  5. Article
  6. Dissecting the small RNA code of inflammatory bowel disease.Molecular medicine (Cambridge, Mass.) · 2026
    Article
  7. Review
  8. Review
  9. FTO depletion does not alter mbioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Biochemical and structural insights into a 5' to 3' RNA ligase reveal a potential role in tRNA ligation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. 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

4 authors.

Hengyi XuInstitute for Cellular and Molecular Biology University of Texas at Austin, 78712, Austin, Texas, USA.
Jun YaoInstitute for Cellular and Molecular Biology University of Texas at Austin, 78712, Austin, Texas, USA.
Douglas C WuInstitute for Cellular and Molecular Biology University of Texas at Austin, 78712, Austin, Texas, USA.
Alan M LambowitzInstitute for Cellular and Molecular Biology University of Texas at Austin, 78712, Austin, Texas, USA. lambowitz@austin.utexas.edu.

Funding

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

Abstract

Thermostable group II intron reverse transcriptases (TGIRTs) with high fidelity and processivity have been used for a variety of RNA sequencing (RNA-seq) applications, including comprehensive profiling of whole-cell, exosomal, and human plasma RNAs; quantitative tRNA-seq based on the ability of TGIRT enzymes to give full-length reads of tRNAs and other structured small ncRNAs; high-throughput mapping of post-transcriptional modifications; and RNA structure mapping. Here, we improved TGIRT-seq methods for comprehensive transcriptome profiling by rationally designing RNA-seq adapters that minimize adapter dimer formation. Additionally, we developed biochemical and computational methods for remediating 5'- and 3'-end biases, the latter based on a random forest regression model that provides insight into the contribution of different factors to these biases. These improvements, some of which may be applicable to other RNA-seq methods, increase the efficiency of TGIRT-seq library construction and improve coverage of very small RNAs, such as miRNAs. Our findings provide insight into the biochemical basis of 5'- and 3'-end biases in RNA-seq and suggest general approaches for remediating biases and decreasing adapter dimer formation.

Indexed as

TranscriptomeArtifactsComputational BiologyGene Expression ProfilingGene LibraryGenome, HumanHumansMicroRNAsOligonucleotidesRNA-Directed DNA PolymeraseRNA ProbesRNA, TransferSequence Analysis, RNAMicroRNAsOligonucleotidesRNA-Directed DNA PolymeraseRNA ProbesRNA, Transfer

Identifiers

PMID31138886
PMCPMC6538698

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.