Evidence map›Paper›PMID 29220521›Full record

ArticleNucleic acids research2018

Trypanosomatid mitochondrial RNA editing: dramatically complex transcript repertoires revealed with a dedicated mapping tool.

Evgeny S Gerasimov, Anna A Gasparyan, Iosif Kaurov, Boris Tichý, Maria D Logacheva, Alexander A Kolesnikov, Julius Lukeš, Vyacheslav Yurchenko, Sara L Zimmer, Pavel Flegontov

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Assembly and Annotation of Kinetoplastid and Diplonemid Mitochondrial Genomes.Methods in molecular biology (Clifton, N.J.) · 2026
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  5. 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
  6. Article
  7. Article
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  10. RNA (New York, N.Y.) · 2022
    Article
  11. Article
  12. Mitochondrial RNA editing inComputational and structural biotechnology journal · 2022
    Article
  13. Review
  14. Article
  15. Article
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  18. Review
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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

10 authors.

Evgeny S GerasimovFaculty of Biology, M.V. Lomonosov Moscow State University, Moscow 119991, Russia.
Anna A GasparyanFaculty of Biology, M.V. Lomonosov Moscow State University, Moscow 119991, Russia.
Iosif KaurovInstitute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice 370 05, Czech Republic.
Boris TichýCentral European Institute of Technology, Masaryk University, Brno 625 00, Czech Republic.
Maria D LogachevaBelozersky Institute of Physico-Chemical Biology, M.V. Lomonosov Moscow State University, Moscow 119991, Russia.
Alexander A KolesnikovFaculty of Biology, M.V. Lomonosov Moscow State University, Moscow 119991, Russia.
Julius LukešInstitute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice 370 05, Czech Republic.
Vyacheslav YurchenkoInstitute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice 370 05, Czech Republic.
Sara L ZimmerDepartment of Biomedical Sciences, University of Minnesota Medical School, Duluth, MN 55812-3031, USA.
Pavel FlegontovInstitute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice 370 05, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA editing by targeted insertion and deletion of uridine is crucial to generate translatable mRNAs from the cryptogenes of the mitochondrial genome of kinetoplastids. This type of editing consists of a stepwise cascade of reactions generally proceeding from 3' to 5' on a transcript, resulting in a population of partially edited as well as pre-edited and completely edited molecules for each mitochondrial cryptogene of these protozoans. Often, the number of uridines inserted and deleted exceed the number of nucleotides that are genome-encoded. Thus, analysis of kinetoplastid mitochondrial transcriptomes has proven frustratingly complex. Here we present our analysis of Leptomonas pyrrhocoris mitochondrial cDNA deep sequencing reads using T-Aligner, our new tool which allows comprehensive characterization of RNA editing, not relying on targeted transcript amplification and on prior knowledge of final edited products. T-Aligner implements a pipeline of read mapping, visualization of all editing states and their coverage, and assembly of canonical and alternative translatable mRNAs. We also assess T-Aligner functionality on a more challenging deep sequencing read input from Trypanosoma cruzi. The analysis reveals that transcripts of cryptogenes of both species undergo very complex editing that includes the formation of alternative open reading frames and whole categories of truncated editing products.

Indexed as

RNA EditingComputational BiologyGene Expression ProfilingGenome, MitochondrialGenome, ProtozoanMitochondriaRNA IsoformsRNA, MitochondrialRNA, ProtozoanRNA SplicingTrypanosoma brucei bruceiTrypanosomatinaRNA IsoformsRNA, MitochondrialRNA, Protozoan

Identifiers

PMID29220521
PMCPMC5778460

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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.