Evidence map›Paper›PMID 35253846›Full record

ArticleG3 (Bethesda, Md.)2022

RNA transcription and degradation of Alu retrotransposons depends on sequence features and evolutionary history.

Till Baar, Sebastian Dümcke, Saskia Gressel, Björn Schwalb, Alexander Dilthey, Patrick Cramer, Achim Tresch

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Till BaarInstitute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne 50937, Germany.ORCID 0000-0002-6744-1463
Sebastian DümckeClemedi AG, Schlieren 8952, Switzerland.
Saskia GresselDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen 37077, Germany.ORCID 0000-0003-0261-675X
Björn SchwalbDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen 37077, Germany.
Alexander DiltheyInstitute of Medical Microbiology and Hospital Hygiene, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf 40225, Germany.ORCID 0000-0002-6394-4581
Patrick CramerDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen 37077, Germany.ORCID 0000-0001-5454-7755
Achim TreschInstitute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne 50937, Germany.ORCID 0000-0002-4146-6371
Max Planck Institute for Biophysical Chemistry · DEUniversity of Cologne · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alu elements are one of the most successful groups of RNA retrotransposons and make up 11% of the human genome with over 1 million individual loci. They are linked to genetic defects, increases in sequence diversity, and influence transcriptional activity. Still, their RNA metabolism is poorly understood yet. It is even unclear whether Alu elements are mostly transcribed by RNA Polymerase II or III. We have conducted a transcription shutoff experiment by α-amanitin and metabolic RNA labeling by 4-thiouridine combined with RNA fragmentation (TT-seq) and RNA-seq to shed further light on the origin and life cycle of Alu transcripts. We find that Alu RNAs are more stable than previously thought and seem to originate in part from RNA Polymerase II activity, as previous reports suggest. Their expression however seems to be independent of the transcriptional activity of adjacent genes. Furthermore, we have developed a novel statistical test for detecting the expression of quantitative trait loci in Alu elements that relies on the de Bruijn graph representation of all Alu sequences. It controls for both statistical significance and biological relevance using a tuned k-mer representation, discovering influential sequence features missed by regular motif search. In addition, we discover several point mutations using a generalized linear model, and motifs of interest, which also match transcription factor-binding motifs.

Indexed as

RNARNA Polymerase IIAlu ElementsHumansRetroelementsTranscription, GeneticRetroelementsRNARNA Polymerase IIAlu elementsAlu transcriptionretrotransposonsRNA labeling

Identifiers

PMID35253846
PMCPMC9073682
OpenAlexW4220846551

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.