Evidence map›Paper›PMID 34313753›Full record

ArticleNucleic acids research2021

Visualization and characterization of RNA-protein interactions in living cells.

Ningjun Duan, Maria Arroyo, Wen Deng, M Cristina Cardoso, Heinrich Leonhardt

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
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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 2 countries.

Ningjun DuanDepartment of Biology II, Ludwig Maximilians University Munich, Munich 81377, Germany.
Maria ArroyoDepartment of Biology, Technical University of Darmstadt, Darmstadt 64287, Germany.
Wen DengDepartment of Biology II, Ludwig Maximilians University Munich, Munich 81377, Germany.ORCID 0000-0003-3062-7843
M Cristina CardosoDepartment of Biology, Technical University of Darmstadt, Darmstadt 64287, Germany.ORCID 0000-0001-8427-8859
Heinrich LeonhardtDepartment of Biology II, Ludwig Maximilians University Munich, Munich 81377, Germany.ORCID 0000-0002-5086-6449
Ludwig-Maximilians-Universität München · DETechnische Universität Darmstadt · DEJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-protein interactions are the structural and functional basis of significant numbers of RNA molecules. RNA-protein interaction assays though, still mainly depend on biochemical tests in vitro. Here, we establish a convenient and reliable RNA fluorescent three-hybrid (rF3H) method to detect/interrogate the interactions between RNAs and proteins in cells. A GFP tagged highly specific RNA trap is constructed to anchor the RNA of interest to an artificial or natural subcellular structure, and RNA-protein interactions can be detected and visualized by the enrichment of RNA binding proteins (RBPs) at these structures. Different RNA trapping systems are developed and detection of RNA-protein complexes at multiple subcellular structures are assayed. With this new toolset, interactions between proteins and mRNA or noncoding RNAs are characterized, including the interaction between a long noncoding RNA and an epigenetic modulator. Our approach provides a flexible and reliable method for the characterization of RNA-protein interactions in living cells.

Indexed as

AnimalsCricetinaeHeLa CellsHumansMiceProtein BindingRNA-Binding ProteinsRNA, Long NoncodingRNA, MessengerStem CellsRNA-Binding ProteinsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID34313753
PMCPMC8501972
OpenAlexW3183769948

What OpenQuestion holds

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LicenceCC BY
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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.