Evidence map›Paper›PMID 33293523›Full record

ArticleNature communications2020

RNA structure-wide discovery of functional interactions with multiplexed RNA motif library.

Kaoru R Komatsu, Toshiki Taya, Sora Matsumoto, Emi Miyashita, Shunnichi Kashida, Hirohide Saito

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

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  12. G-quadruplexes from non-coding RNAs.Journal of molecular medicine (Berlin, Germany) · 2023
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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

6 authors at 2 institutions in 2 countries.

Kaoru R KomatsuDepartment of Life Science Frontiers, Center for iPS Cell Research and Application, Kyoto University, 53 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan.ORCID 0000-0002-4505-0840
Toshiki TayaTwist Bioscience, 681 Gateway Blvd South, San Francisco, CA, 94080, USA.
Sora MatsumotoDepartment of Life Science Frontiers, Center for iPS Cell Research and Application, Kyoto University, 53 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan.ORCID 0000-0002-0788-1213
Emi MiyashitaDepartment of Life Science Frontiers, Center for iPS Cell Research and Application, Kyoto University, 53 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan.
Shunnichi KashidaDepartment of Life Science Frontiers, Center for iPS Cell Research and Application, Kyoto University, 53 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan. shunnichi.kashida@gmail.com.
Hirohide SaitoDepartment of Life Science Frontiers, Center for iPS Cell Research and Application, Kyoto University, 53 Kawahara-Cho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan. hirohide.saito@cira.kyoto-u.ac.jp.ORCID 0000-0002-8570-5784
Kyoto University · JPTwist Bioscience (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biochemical assays and computational analyses have discovered RNA structures throughout various transcripts. However, the roles of these structures are mostly unknown. Here we develop folded RNA element profiling with structure library (FOREST), a multiplexed affinity assay system to identify functional interactions from transcriptome-wide RNA structure datasets. We generate an RNA structure library by extracting validated or predicted RNA motifs from gene-annotated RNA regions. The RNA structure library with an affinity enrichment assay allows for the comprehensive identification of target-binding RNA sequences and structures in a high-throughput manner. As a proof-of-concept, FOREST discovers multiple RNA-protein interaction networks with quantitative scores, including translational regulatory elements that function in living cells. Moreover, FOREST reveals different binding landscapes of RNA G-quadruplex (rG4) structures-binding proteins and discovers rG4 structures in the terminal loops of precursor microRNAs. Overall, FOREST serves as a versatile platform to investigate RNA structure-function relationships on a large scale.

Indexed as

G-Quadruplexes5' Untranslated RegionsComputer SimulationDatasets as TopicElectrophoretic Mobility Shift AssayEukaryotic Initiation Factor-3Gene LibraryGenome, ViralHEK293 CellsHIV-1HumansMicroRNAsNucleotide MotifsProof of Concept StudyProtein BindingProtein Biosynthesis5' Untranslated RegionsEukaryotic Initiation Factor-3MicroRNAsRNA-Binding ProteinsRNA, MessengerRNA PrecursorsRNA, Viral

Identifiers

PMID33293523
PMCPMC7723054
OpenAlexW3111554733

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.