Evidence map›Paper›PMID 31741798›Full record

ArticlePeerJ2019

Prediction of clusters of miRNA binding sites in mRNA candidate genes of breast cancer subtypes.

Dana Aisina, Raigul Niyazova, Shara Atambayeva, Anatoliy Ivashchenko

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. 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
1.1field-weighted citation impact, top 28% 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, 17 citations in OpenAlex.

  1. Article
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  9. Frontiers in genetics · 2020
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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 at 1 institution in 1 country.

Dana Aisina *Department of Biotechnology, SRI of Biology and Biotechnology Problems, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Raigul NiyazovaDepartment of Biotechnology, SRI of Biology and Biotechnology Problems, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Shara AtambayevaDepartment of Biotechnology, SRI of Biology and Biotechnology Problems, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Anatoliy Ivashchenko *Department of Biotechnology, SRI of Biology and Biotechnology Problems, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Al-Farabi Kazakh National University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of breast cancer (BC) subtypes is controlled by distinct sets of candidate genes, and the expression of these genes is regulated by the binding of their mRNAs with miRNAs. Predicting miRNA associations and target genes is thus essential when studying breast cancer. The MirTarget program identifies the initiation of miRNA binding to mRNA, the localization of miRNA binding sites in mRNA regions, and the free energy from the binding of all miRNA nucleotides with mRNA. Candidate gene mRNAs have clusters (miRNA binding sites with overlapping nucleotide sequences). mRNAs of

Indexed as

Binding siteBreast cancerClusterGenemiRNA

Identifiers

PMID31741798
PMCPMC6858813
OpenAlexW2942716205

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.