Evidence map›Paper›PMID 37615575›Full record

ArticleNucleic acids research2023

ChimeraTE: a pipeline to detect chimeric transcripts derived from genes and transposable elements.

Daniel S Oliveira, Marie Fablet, Anaïs Larue, Agnès Vallier, Claudia M A Carareto, Rita Rebollo, Cristina Vieira

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. 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
11.9field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Daniel S OliveiraSão Paulo State University (Unesp), Institute of Biosciences, Humanities and Exact Sciences, São José do Rio Preto, SP, Brazil.
Marie FabletLaboratoire de Biométrie et Biologie Evolutive, Université Lyon 1, CNRS, UMR5558, Villeurbanne, Rhone-Alpes, 69100, France.ORCID 0000-0002-7819-4541
Anaïs LarueLaboratoire de Biométrie et Biologie Evolutive, Université Lyon 1, CNRS, UMR5558, Villeurbanne, Rhone-Alpes, 69100, France.
Agnès VallierUniv Lyon, INRAE, INSA-Lyon, BF2I, UMR 203, 69621 Villeurbanne, France.
Claudia M A CararetoSão Paulo State University (Unesp), Institute of Biosciences, Humanities and Exact Sciences, São José do Rio Preto, SP, Brazil.
Rita RebolloUniv Lyon, INRAE, INSA-Lyon, BF2I, UMR 203, 69621 Villeurbanne, France.ORCID 0000-0002-8138-5082
Cristina VieiraLaboratoire de Biométrie et Biologie Evolutive, Université Lyon 1, CNRS, UMR5558, Villeurbanne, Rhone-Alpes, 69100, France.ORCID 0000-0003-3414-3993
Université Claude Bernard Lyon 1 · FRUniversidade Estadual Paulista (Unesp) · BR

Funding

Agence Nationale de la Recherche ANR-14-CE19-0016-01Campus France Eiffel P769649CFondation pour la Recherche Médicale DEP20131128536Idex LyonNational Council for Scientific and Technological Development 308020/2021-9São Paulo Research Foundation 2020/06238-2TIGER H2020-MSCA-IF-2014-658726
6 · The paper itself

Abstract

Transposable elements (TEs) produce structural variants and are considered an important source of genetic diversity. Notably, TE-gene fusion transcripts, i.e. chimeric transcripts, have been associated with adaptation in several species. However, the identification of these chimeras remains hindered due to the lack of detection tools at a transcriptome-wide scale, and to the reliance on a reference genome, even though different individuals/cells/strains have different TE insertions. Therefore, we developed ChimeraTE, a pipeline that uses paired-end RNA-seq reads to identify chimeric transcripts through two different modes. Mode 1 is the reference-guided approach that employs canonical genome alignment, and Mode 2 identifies chimeras derived from fixed or insertionally polymorphic TEs without any reference genome. We have validated both modes using RNA-seq data from four Drosophila melanogaster wild-type strains. We found ∼1.12% of all genes generating chimeric transcripts, most of them from TE-exonized sequences. Approximately ∼23% of all detected chimeras were absent from the reference genome, indicating that TEs belonging to chimeric transcripts may be recent, polymorphic insertions. ChimeraTE is the first pipeline able to automatically uncover chimeric transcripts without a reference genome, consisting of two running Modes that can be used as a tool to investigate the contribution of TEs to transcriptome plasticity.

Indexed as

DNA Transposable ElementsDrosophila melanogasterAnimalsGene FusionRNA-SeqSequence Analysis, RNASoftwareTranscriptomeDNA Transposable Elements

Identifiers

PMID37615575
PMCPMC10570057
OpenAlexW4386116003

What OpenQuestion holds

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LicenceCC BY
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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.