Evidence map›Paper›PMID 21300640›Full record

ArticleNucleic acids research2011

Efficient detection of RNA-protein interactions using tethered RNAs.

Hidekazu Iioka, David Loiselle, Timothy A Haystead, Ian G Macara

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Structure-Based Prediction of lncRNA-Protein Interactions by Deep Learning.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. CRISPR/Cas13 sgRNA-Mediated RNA-RNA Interaction Mapping in Live Cells with APOBEC RNA Editing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  7. LncRNAiScience · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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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

4 authors.

Hidekazu IiokaDepartment of Microbiology, Center for Cell Signaling, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
David Loiselle
Timothy A Haystead
Ian G Macara

Funding

MECHANISMS OF CELL POLARITY ESTABLISHMENTR01GM070902 · NIGMS · VANDERBILT UNIVERSITY · PI MACARA, IAN G · 2004 to 2022
$5.4M
NIGMS NIH HHS GM070902
6 · The paper itself

Abstract

The diverse localization of transcripts in cells suggests that there are many specific RNA-protein interactions that have yet to be identified. Progress has been limited, however, by the lack of a robust method to detect and isolate the RNA-binding proteins. Here we describe the use of an RNA aptamer, scaffolded to a tRNA, to create an affinity matrix that efficiently pulls down transcript-specific RNA-binding proteins from cell lysates. The addition of the tRNA scaffold to a Streptavidin aptamer (tRSA) increased binding efficiency by ∼ 10-fold. The tRSA system with an attached G-quartet sequence also could efficiently and specifically capture endogenous Fragile X Mental Retardation Protein (FMRP), which recognizes this RNA sequence. An alternative method, using biotinylated RNA, captured FMRP less efficiently than did our tRSA method. Finally we demonstrate the identification of novel RNA-binding proteins that interact with intron2 or 3'-UTR of the polarity protein Crumbs3 transcript. Proteins captured by these RNA sequences attached to the tRNA scaffold were identified by mass spectrometry. GFP-tagged versions of these proteins also showed specific interaction with either the Crb3 intron2 or 3'-UTR. Our tRSA technique should find wide application in mapping the RNA-protein interactome.

Indexed as

Aptamers, NucleotideCaco-2 CellsChemical PrecipitationHEK293 CellsHumansRNA-Binding ProteinsRNA, TransferAptamers, NucleotideRNA-Binding ProteinsRNA, Transfer

Identifiers

PMID21300640
PMCPMC3082893

What Socratic holds

Textmetadata
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 Socratic graph.