Evidence map›Paper›PMID 36912077›Full record

ArticleNucleic acids research2023

MIRELLA: a mathematical model explains the effect of microRNA-mediated synthetic genes regulation on intracellular resource allocation.

Federica Cella, Giansimone Perrino, Fabiana Tedeschi, Gabriella Viero, Carla Bosia, Guy-Bart Stan, Velia Siciliano

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Federica CellaIstituto Italiano di Tecnologia-IIT, Largo Barsanti e Matteucci, Naples, Italy.
Giansimone PerrinoDepartment of Bioengineering and Centre of Excellence in Synthetic Biology, Imperial College London, London, UK.ORCID 0000-0001-8095-9139
Fabiana TedeschiIstituto Italiano di Tecnologia-IIT, Largo Barsanti e Matteucci, Naples, Italy.
Gabriella VieroInstitute of Biophysics, CNR Trento, Povo, Italy.ORCID 0000-0002-6755-285X
Carla BosiaDepartment of Applied Science and Technology, Politecnico di Torino, Torino, Italy.ORCID 0000-0002-8960-3443
Guy-Bart StanDepartment of Bioengineering and Centre of Excellence in Synthetic Biology, Imperial College London, London, UK.ORCID 0000-0002-5560-902X
Velia SicilianoIstituto Italiano di Tecnologia-IIT, Largo Barsanti e Matteucci, Naples, Italy.ORCID 0000-0001-7734-9153
Italian Institute of Technology · ITImperial College London · GBPolitecnico di Torino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Competition for intracellular resources, also known as gene expression burden, induces coupling between independently co-expressed genes, a detrimental effect on predictability and reliability of gene circuits in mammalian cells. We recently showed that microRNA (miRNA)-mediated target downregulation correlates with the upregulation of a co-expressed gene, and by exploiting miRNAs-based incoherent-feed-forward loops (iFFLs) we stabilise a gene of interest against burden. Considering these findings, we speculate that miRNA-mediated gene downregulation causes cellular resource redistribution. Despite the extensive use of miRNA in synthetic circuits regulation, this indirect effect was never reported before. Here we developed a synthetic genetic system that embeds miRNA regulation, and a mathematical model, MIRELLA, to unravel the miRNA (MI) RolE on intracellular resource aLLocAtion. We report that the link between miRNA-gene downregulation and independent genes upregulation is a result of the concerted action of ribosome redistribution and 'queueing-effect' on the RNA degradation pathway. Taken together, our results provide for the first time insights into the hidden regulatory interaction of miRNA-based synthetic networks, potentially relevant also in endogenous gene regulation. Our observations allow to define rules for complexity- and context-aware design of genetic circuits, in which transgenes co-expression can be modulated by tuning resource availability via number and location of miRNA target sites.

Indexed as

MicroRNAsModels, GeneticAnimalsGene Expression RegulationGene Regulatory NetworksGenes, SyntheticMammalsReproducibility of ResultsMicroRNAs

Identifiers

PMID36912077
PMCPMC10123119
OpenAlexW4324018706

What OpenQuestion holds

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LicenceCC BY
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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.