Evidence map›Paper›PMID 28204592›Full record

ArticleNucleic acids research2017

TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes.

Emmanuelle Lerat, Marie Fablet, Laurent Modolo, Hélène Lopez-Maestre, Cristina Vieira

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
21.2field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.

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  16. Genomic Variability Survey inInternational journal of molecular sciences · 2024
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20 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Emmanuelle LeratLaboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Lyon 1, Université de Lyon, Villeurbanne 69622, France.
Marie FabletLaboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Lyon 1, Université de Lyon, Villeurbanne 69622, France.
Laurent ModoloLaboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Lyon 1, Université de Lyon, Villeurbanne 69622, France.
Hélène Lopez-MaestreLaboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Lyon 1, Université de Lyon, Villeurbanne 69622, France.
Cristina VieiraLaboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Lyon 1, Université de Lyon, Villeurbanne 69622, France.
Laboratoire de Biométrie et Biologie Evolutive · FRUniversité Claude Bernard Lyon 1 · FRInstitut Universitaire de France · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over recent decades, substantial efforts have been made to understand the interactions between host genomes and transposable elements (TEs). The impact of TEs on the regulation of host genes is well known, with TEs acting as platforms of regulatory sequences. Nevertheless, due to their repetitive nature it is considerably hard to integrate TE analysis into genome-wide studies. Here, we developed a specific tool for the analysis of TE expression: TEtools. This tool takes into account the TE sequence diversity of the genome, it can be applied to unannotated or unassembled genomes and is freely available under the GPL3 (https://github.com/l-modolo/TEtools). TEtools performs the mapping of RNA-seq data obtained from classical mRNAs or small RNAs onto a list of TE sequences and performs differential expression analyses with statistical relevance. Using this tool, we analyzed TE expression from five Drosophila wild-type strains. Our data show for the first time that the activity of TEs is strictly linked to the activity of the genes implicated in the piwi-interacting RNA biogenesis and therefore fits an arms race scenario between TE sequences and host control genes.

Indexed as

Interspersed Repetitive SequencesSoftwareDrosophila simulansGene Expression ProfilingRNA, Small InterferingRNA, Small Interfering

Identifiers

PMID28204592
PMCPMC5389681
OpenAlexW2538665045

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.