Evidence map›Paper›PMID 31649721›Full record

ArticleFrontiers in genetics2019

Comprehensive Analysis of Human microRNA-mRNA Interactome.

Olga Plotnikova, Ancha Baranova, Mikhail Skoblov

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 4 pooled it
7.4field-weighted citation impact, top 2% 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

97 citing papers in PubMed, 4 syntheses or guidelines pooled it, 169 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Therapeutic Applications of Poly-miRNAs and miRNA Sponges.International journal of molecular sciences · 2025
    Review
  12. Article
  13. Article
  14. Connecting the Dots: How MicroRNAs Link Asthma and Atherosclerosis.International journal of molecular sciences · 2025
    Review
  15. Review
  16. Identification of AK4 and RHOC as potential oncogenes addicted by adult T cell leukemia.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Review
  18. miRVim: Three-dimensional miRNA Structure Database.MicroRNA (Shariqah, United Arab Emirates) · 2025
    Article
  19. Noncoding variants are a rare cause of recessive developmental disorders in trans with coding variants.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  20. miRNA-driven sensitization of breast cancer cells to Doxorubicin treatment following exposure to low dose of Zinc Oxide nanoparticles.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article

37 more citing papers are in PubMed but not listed here.

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 1 institution in 2 countries.

Olga PlotnikovaLaboratory of Functional Genome Analysis, Moscow Institute of Physics and Technology, Moscow, Russia.
Ancha BaranovaLaboratory of Functional Genomics, Research Centre for Medical Genetics, Moscow, Russia.
Mikhail SkoblovLaboratory of Functional Genomics, Research Centre for Medical Genetics, Moscow, Russia.
Research Centre for Medical Genetics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs play a key role in the regulation of gene expression. A majority of microRNA-mRNA interactions remain unidentified. Despite extensive research, our ability to predict human microRNA-mRNA interactions using computational algorithms remains limited by a complexity of the models for non-canonical interactions, and an abundance of false-positive results. Here, we present the landscape of human microRNA-mRNA interactions derived from comprehensive analysis of HEK293 and Huh7.5 datasets, along with publicly available microRNA and mRNA expression data. We show that, while only 1-2% of human genes were the most regulated by microRNAs, few cell line-specific RNAs, including EEF1A1 and HSPA1B in HEK293 and AFP, APOB, and MALAT1 genes in Huh7.5, display substantial "sponge-like" properties. We revealed a group of microRNAs that are expressed at a very high level, while interacting with only a few mRNAs, which, indeed, serve as their specific expression regulators. In order to establish reliable microRNA-binding regions, we collected and systematically analyzed the data from 79 CLIP datasets of microRNA-binding sites. We report 46,805 experimentally confirmed mRNA-miRNA duplex regions. Resulting dataset is available at http://score.generesearch.ru/services/mirna/. Our study provides initial insight into the complexity of human microRNA-mRNA interactions.

Indexed as

microRNAmicroRNA-binding sitesmicroRNA–mRNA interactionsmiRNA-target RNA duplexesregulation of gene expressionweb tool for searching microRNA-binding regions

Identifiers

PMID31649721
PMCPMC6792129
OpenAlexW2971822735

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.