Evidence map›Paper›PMID 27317695›Full record

ArticleNucleic acids research2016

Understanding microRNA-mediated gene regulatory networks through mathematical modelling.

Xin Lai, Olaf Wolkenhauer, Julio Vera

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 2 pooled it
–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

107 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Epigenetic networks coordinate DNA methylation across the genome.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
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47 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.

Xin LaiLaboratory of Systems Tumour Immunology, Department of Dermatology, Erlangen University Hospital and Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, 91054, Germany xin.lai@uk-erlangen.de.ORCID 0000-0003-4913-5822
Olaf WolkenhauerDepartment of Systems Biology & Bioinformatics, University of Rostock, Rostock, 18051, Germany Stellenbosch Institute for Advanced Study, Wallenberg Research Centre at Stellenbosch University, 7600, South Africa.
Julio VeraLaboratory of Systems Tumour Immunology, Department of Dermatology, Erlangen University Hospital and Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, 91054, Germany julio.vera-gonzalez@uk-erlangen.de.ORCID 0000-0002-3076-5122

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of microRNAs (miRNAs) has added a new player to the regulation of gene expression. With the increasing number of molecular species involved in gene regulatory networks, it is hard to obtain an intuitive understanding of network dynamics. Mathematical modelling can help dissecting the role of miRNAs in gene regulatory networks, and we shall here review the most recent developments that utilise different mathematical modelling approaches to provide quantitative insights into the function of miRNAs in the regulation of gene expression. Key miRNA regulation features that have been elucidated via modelling include: (i) the role of miRNA-mediated feedback and feedforward loops in fine-tuning of gene expression; (ii) the miRNA-target interaction properties determining the effectiveness of miRNA-mediated gene repression; and (iii) the competition for shared miRNAs leading to the cross-regulation of genes. However, there is still lack of mechanistic understanding of many other properties of miRNA regulation like unconventional miRNA-target interactions, miRNA regulation at different sub-cellular locations and functional miRNA variant, which will need future modelling efforts to deal with. This review provides an overview of recent developments and challenges in this field.

Indexed as

Models, TheoreticalComputational BiologyGene Expression RegulationGene Regulatory NetworksHumansMicroRNAsMicroRNAs

Identifiers

PMID27317695
PMCPMC5291278

What OpenQuestion holds

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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.