Evidence map›Paper›PMID 23248006›Full record

ArticleNucleic acids research2013

Identification of RNA targets for the nuclear multidomain cyclophilin atCyp59 and their effect on PPIase activity.

Olga Bannikova, Marek Zywicki, Yamile Marquez, Tatsiana Skrahina, Maria Kalyna, Andrea Barta

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 42 citations in OpenAlex.

  1. iScience · 2025
    Article
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  16. Article
  17. Revealing protein-lncRNA interaction.Briefings in bioinformatics · 2016
    Review
  18. Prolyl isomerases in gene transcription.Biochimica et biophysica acta · 2015
    Review
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Olga BannikovaMax F. Perutz Laboratories, Medical University of Vienna, Vienna, Austria.
Marek Zywicki
Yamile Marquez
Tatsiana Skrahina
Maria Kalyna
Andrea Barta
Max Perutz Labs · ATMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AtCyp59 is a multidomain cyclophilin containing a peptidyl-prolyl cis/trans isomerase (PPIase) domain and an evolutionarily highly conserved RRM domain. Deregulation of this class of cyclophilins has been shown to affect transcription and to influence phosphorylation of the C-terminal repeat domain of the largest subunit of the RNA polymerase II. We used a genomic SELEX method for identifying RNA targets of AtCyp59. Analysis of the selected RNAs revealed an RNA-binding motif (G[U/C]N[G/A]CC[A/G]) and we show that it is evolutionarily conserved. Binding to this motif was verified by gel shift assays in vitro and by RNA immunopreciptation assays of AtCyp59 in vivo. Most importantly, we show that binding also occurs on unprocessed transcripts in vivo and that binding of specific RNAs inhibits the PPIase activity of AtCyp59 in vitro. Surprisingly, genome-wide analysis showed that the RNA motif is present in about 70% of the annotated transcripts preferentially in exons. Taken together, the available data suggest that these cyclophilins might have an important function in transcription regulation.

Indexed as

Arabidopsis ProteinsCyclophilinsGenomicsNucleotide MotifsRNA-Binding ProteinsRNA, MessengerRNA, PlantRNA Polymerase IIArabidopsis Proteinscyclophilin 59, ArabidopsisCyclophilinsRNA-Binding ProteinsRNA, MessengerRNA, PlantRNA Polymerase II

Identifiers

PMID23248006
PMCPMC3561992
OpenAlexW1972527300

What OpenQuestion holds

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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.