Evidence map›Paper›PMID 26908922›Full record

ArticleRNA (New York, N.Y.)2016

High-throughput sequencing of partially edited trypanosome mRNAs reveals barriers to editing progression and evidence for alternative editing.

Rachel M Simpson, Andrew E Bruno, Jonathan E Bard, Michael J Buck, Laurie K Read

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Assembly and Annotation of Kinetoplastid and Diplonemid Mitochondrial Genomes.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Evolutionary divergent kinetoplast genome structure and RNA editing patterns in the trypanosomatidProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Mitochondrial RNA editing inComputational and structural biotechnology journal · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

5 authors.

Rachel M SimpsonDepartment of Microbiology and Immunology, University at Buffalo, Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York 14214, USA.
Andrew E BrunoCenter for Computational Research, University at Buffalo, Buffalo, New York 14203, USA.
Jonathan E BardUniversity at Buffalo Genomics and Bioinformatics Core, Buffalo, New York 14222, USA.
Michael J BuckDeparment of Biochemistry, University at Buffalo, Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York 14214, USA.
Laurie K ReadDepartment of Microbiology and Immunology, University at Buffalo, Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York 14214, USA lread@buffalo.edu.

Funding

Regulation of RNA editing in Trypansoma bruceiR01AI061580 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI READ, LAURIE K. · 2006 to 2015
$3.0M
NIAID NIH HHS R01 AI061580NIAID NIH HHS R01AI061580
6 · The paper itself

Abstract

Uridine insertion/deletion RNA editing in kinetoplastids entails the addition and deletion of uridine residues throughout the length of mitochondrial transcripts to generate translatable mRNAs. This complex process requires the coordinated use of several multiprotein complexes as well as the sequential use of noncoding template RNAs called guide RNAs. The majority of steady-state mitochondrial mRNAs are partially edited and often contain regions of mis-editing, termed junctions, whose role is unclear. Here, we report a novel method for sequencing entire populations of pre-edited partially edited, and fully edited RNAs and analyzing editing characteristics across populations using a new bioinformatics tool, the Trypanosome RNA Editing Alignment Tool (TREAT). Using TREAT, we examined populations of two transcripts, RPS12 and ND7-5', in wild-typeTrypanosoma brucei We provide evidence that the majority of partially edited sequences contain junctions, that intrinsic pause sites arise during the progression of editing, and that the mechanisms that mediate pausing in the generation of canonical fully edited sequences are distinct from those that mediate the ends of junction regions. Furthermore, we identify alternatively edited sequences that constitute plausible alternative open reading frames and identify substantial variability in the 5' UTRs of both canonical and alternatively edited sequences. This work is the first to use high-throughput sequencing to examine full-length sequences of whole populations of partially edited transcripts. Our method is highly applicable to current questions in the RNA editing field, including defining mechanisms of action for editing factors and identifying potential alternatively edited sequences.

Indexed as

High-Throughput Nucleotide SequencingRNA EditingAlgorithmsAnimalsRNA, MessengerTrypanosoma brucei bruceiRNA, MessengerbioinformaticskinetoplastidmitochondriaRNA editingtrypanosome

Identifiers

PMID26908922
PMCPMC4836643

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.