Evidence map›Paper›PMID 32012884›Full record

ArticleInternational journal of molecular sciences2020

Practical Guidance in Genome-Wide RNA:DNA Triple Helix Prediction.

Elena Matveishina, Ivan Antonov, Yulia A Medvedeva

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. PATO: genome-wide prediction of lncRNA-DNA triple helices.Bioinformatics (Oxford, England) · 2023
    Article
  6. 3plex enables deep computational investigation of triplex forming lncRNAs.Computational and structural biotechnology journal · 2023
    Article
  7. Frontiers in cell and developmental biology · 2022
    Article
  8. Article
  9. Bioinformatics Methods in Medical Genetics and Genomics.International journal of molecular sciences · 2020
    Article
  10. Article
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

3 authors at 2 institutions in 1 country.

Elena MatveishinaFaculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 119234 Moscow, Russia.
Ivan AntonovInstitute of Bioengineering, Research Center of Biotechnology, Russian Academy of Science, 117312 Moscow, Russia.ORCID 0000-0002-8330-6907
Yulia A MedvedevaInstitute of Bioengineering, Research Center of Biotechnology, Russian Academy of Science, 117312 Moscow, Russia.
Moscow Institute of Physics and Technology · RULomonosov Moscow State University · RU

Funding

Russian Science Foundation 18-14-00240
6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) play a key role in many cellular processes including chromatin regulation. To modify chromatin, lncRNAs often interact with DNA in a sequence-specific manner forming RNA:DNA triple helices. Computational tools for triple helix search do not always provide genome-wide predictions of sufficient quality. Here, we used four human lncRNAs (MEG3, DACOR1, TERC and HOTAIR) and their experimentally determined binding regions for evaluating triplex parameters that provide the highest prediction accuracy. Additionally, we combined triplex prediction with the lncRNA secondary structure and demonstrated that considering only single-stranded fragments of lncRNA can further improve DNA-RNA triplexes prediction.

Indexed as

Binding SitesComputational BiologyDNAHumansModels, MolecularNucleic Acid ConformationRNARNA, Long NoncodingTelomeraseDNAHOTAIR long untranslated RNA, humanMEG3 non-coding RNA, humanRNARNA, Long NoncodingTelomerasetelomerase RNAlong noncoding RNA structureRNA:DNA triple helix

Identifiers

PMID32012884
PMCPMC7037363
OpenAlexW3003728994

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.