Evidence map›Paper›PMID 30605520›Full record

ArticleNucleic acids research2019

Isolation and genome-wide characterization of cellular DNA:RNA triplex structures.

Nevcin Sentürk Cetin, Chao-Chung Kuo, Teodora Ribarska, Ronghui Li, Ivan G Costa, Ingrid Grummt

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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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.

Nevcin Sentürk CetinDivision of Molecular Biology of the Cell II, German Cancer Research Center, DKFZ-ZMBH Alliance, Heidelberg, Germany.
Chao-Chung KuoInstitute for Computational Genomics, RWTH University Medical School Aachen, Germany.
Teodora RibarskaDivision of Molecular Biology of the Cell II, German Cancer Research Center, DKFZ-ZMBH Alliance, Heidelberg, Germany.
Ronghui LiInstitute for Computational Genomics, RWTH University Medical School Aachen, Germany.
Ivan G CostaInstitute for Computational Genomics, RWTH University Medical School Aachen, Germany.
Ingrid GrummtDivision of Molecular Biology of the Cell II, German Cancer Research Center, DKFZ-ZMBH Alliance, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA can directly bind to purine-rich DNA via Hoogsteen base pairing, forming a DNA:RNA triple helical structure that anchors the RNA to specific sequences and allows guiding of transcription regulators to distinct genomic loci. To unravel the prevalence of DNA:RNA triplexes in living cells, we have established a fast and cost-effective method that allows genome-wide mapping of DNA:RNA triplex interactions. In contrast to previous approaches applied for the identification of chromatin-associated RNAs, this method uses protein-free nucleic acids isolated from chromatin. High-throughput sequencing and computational analysis of DNA-associated RNA revealed a large set of RNAs which originate from non-coding and coding loci, including super-enhancers and repeat elements. Combined analysis of DNA-associated RNA and RNA-associated DNA identified genomic DNA:RNA triplex structures. The results suggest that triplex formation is a general mechanism of RNA-mediated target-site recognition, which has major impact on biological functions.

Indexed as

Nucleic Acid ConformationBase PairingBase SequenceBinding SitesChromatinChromosome MappingDNAEnhancer Elements, GeneticHeLa CellsHigh-Throughput Nucleotide SequencingHumansPurinesRegulatory Sequences, Nucleic AcidReproducibility of ResultsRNARNA, Long NoncodingChromatinDNANEAT1 long non-coding RNA, humanpurinePurinesRNARNA, Long NoncodingTranscription Factors

Identifiers

PMID30605520
PMCPMC6411930

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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.