Evidence map›Paper›PMID 40886272›Full record

ReviewAdvances in experimental medicine and biology2025

Formation of Circular RNAs.

Arvind Srinivasan, Marzena Wojciechowska

Abstract readReview
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In one paragraph

Review in Advances in experimental medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Arvind SrinivasanDepartment of Rare Diseases, Polish Academy of Sciences, Institute of Bioorganic Chemistry, Poznan, Poland.
Marzena WojciechowskaDepartment of Rare Diseases, Polish Academy of Sciences, Institute of Bioorganic Chemistry, Poznan, Poland. mwojska@ibch.poznan.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs) constitute a class of covalently closed, single-stranded RNA molecules that form a continuous loop structure, setting them apart from linear RNA molecules. These circular entities arise through a distinct biogenetic process termed "backsplicing," which involves the covalent bonding of the 5' site of an upstream exon with the 3' site of the same or a downstream exon during pre-messenger RNA (pre-mRNA) splicing. Such a direct backsplicing model exists along with the exon- and lariat-skipping models of circRNA generation, giving rise to three major types of circRNAs, i.e., exonic (EcircRNAs), intronic (IcircRNAs), and exonic-intronic circRNAs (EIcircRNAs). A complex process of interaction between cis-acting elements and trans-acting factors governs circRNA synthesis. In particular, reverse complementary matches (RCMs) and RNA-binding proteins (RBPs) play critical roles in circRNA formation. Complementary sequences increase base pairing, which aids in the alignment of splice sites for backsplicing. RBPs can either accelerate or inhibit circRNA synthesis by binding to certain sequences or structures, thereby altering backsplicing efficiency. The careful balance of cis-acting components and trans-acting factors highlights the complex regulatory mechanisms driving circRNA synthesis, which contributes to the variety and functional relevance of these transcripts in cellular activities. In this chapter, we review the variables that influence circRNA biogenesis and highlight the origins of different types of these transcripts in humans.

Indexed as

RNARNA SplicingAnimalsExonsHumansIntronsNucleic Acid ConformationRNA-Binding ProteinsRNA, CircularRNARNA-Binding ProteinsRNA, CircularBacksplicingCircular RNACis-regulatory elementsRNA splicingTrans-acting factors

Identifiers

What OpenQuestion holds

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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.