Evidence map›Paper›PMID 33801990›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Predicting Associations of miRNAs and Candidate Gastric Cancer Genes for Nanomedicine.

Aigul Akimniyazova, Anna Pyrkova, Vladimir Uversky, Anatoliy Ivashchenko

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Developmental Biology: Computational and Experimental Approaches.International journal of molecular sciences · 2023
    Article
  5. Article
  6. Article
  7. 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 at 2 institutions in 2 countries.

Aigul AkimniyazovaDepartment of Biotechnology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0001-7283-3958
Anna PyrkovaDepartment of Biotechnology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0001-8483-451X
Vladimir UverskyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.ORCID 0000-0002-4037-5857
Anatoliy IvashchenkoDepartment of Biotechnology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0002-7969-2016
Al-Farabi Kazakh National University · KZUniversity of South Florida · US

Funding

Ministry of Education and Science of the Republic of Kazakhstan AP05132460
6 · The paper itself

Abstract

Nanoscale miRNAs regulate the synthesis of most human proteins involved in differentiation, proliferation, cell cycle, apoptosis, and other processes associated with the growth and the development of an organism. miRNAs also play a number of important roles in the development of gastric cancer. In this work, we studied the quantitative characteristics of miRNA interactions with 69 candidate gastric cancer genes using bioinformatics approaches. To this end, the MirTarget program was used, which determines the characteristics of miRNA binding to mRNA in the 5'UTR, CDS, and 3'UTR. Associations of miRNAs with alternative target genes and associations of genes with alternative miRNAs were established. The cluster organization of miRNA binding sites (BSs) in mRNA was revealed, leading to the emergence of miRNA competition for binding to the mRNA of a target gene. Groups of target genes with clusters of overlapping BSs include miR-5095, miR-619-5p, miR-1273 family, miR-466, ID01030.3p-miR, ID00436.3p-miR, miR-574-5p, and ID00470.5p-miR. In the defined associations of target genes and miRNAs, miRNA BSs are organized into clusters of multiple BSs, which facilitate the design and the development of a system of chips that can be used to control the state of miRNA and target genes associations in gastric cancer.

Indexed as

diagnosticsgastric cancergeneshumanmRNAnanomedicinenanoscale miRNAprimates

Identifiers

PMID33801990
PMCPMC8000878
OpenAlexW3133519205

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.