Evidence map›Paper›PMID 39257052›Full record

ArticleRNA biology2024

A systematic analysis of circRNAs in subnuclear compartments.

Andre Brezski, Justin Murtagh, Marcel H Schulz, Kathi Zarnack

Abstract read
In one paragraph

Article in RNA biology, 2024. 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
–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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Andre BrezskiBuchmann Institute for Molecular Life Sciences (BMLS) & Institute of Molecular Biosciences, Goethe University Frankfurt, Frankfurt am Main, Hesse, Germany.
Justin MurtaghDepartment of Medicine, Institute for Computational Genomic Medicine and Institute of Cardiovascular Regeneration, Goethe University Frankfurt, Frankfurt am Main, Hesse, Germany.
Marcel H SchulzDepartment of Medicine, Institute for Computational Genomic Medicine and Institute of Cardiovascular Regeneration, Goethe University Frankfurt, Frankfurt am Main, Hesse, Germany.
Kathi ZarnackBuchmann Institute for Molecular Life Sciences (BMLS) & Institute of Molecular Biosciences, Goethe University Frankfurt, Frankfurt am Main, Hesse, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CircRNAs are an important class of RNAs with diverse cellular functions in human physiology and disease. A thorough knowledge of circRNAs including their biogenesis and subcellular distribution is important to understand their roles in a wide variety of processes. However, the analysis of circRNAs from total RNA sequencing data remains challenging. Therefore, we developed Calcifer, a versatile workflow for circRNA annotation. Using Calcifer, we analysed APEX-Seq data to compare circRNA occurrence between whole cells, nucleus and subnuclear compartments. We generally find that circRNAs show higher abundance in whole cells compared to nuclear samples, consistent with their accumulation in the cytoplasm. The notable exception is the single-exon circRNA circCANX(9), which is unexpectedly enriched in the nucleus. In addition, we observe that circFIRRE prevails over the linear lncRNA

Indexed as

Cell NucleusRNA, CircularComputational BiologyCytoplasmHumansMolecular Sequence AnnotationOpen Reading FramesRNA, Long NoncodingRNA SplicingSequence Analysis, RNARNA, CircularRNA, Long NoncodingCircRNAcircRNA translationnuclear specklessubnuclear compartmentsworkflow

Identifiers

PMID39257052
PMCPMC11404584

What OpenQuestion holds

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LicenceCC BY-NC
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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.