Evidence map›Paper›PMID 29354284›Full record

ArticleNPJ systems biology and applications2018

Mapping the operational landscape of microRNAs in synthetic gene circuits.

Tyler Quarton, Kristina Ehrhardt, James Lee, Srijaa Kannan, Yi Li, Lan Ma, Leonidas Bleris

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Review
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  14. Synthetic Mutualism and the Intervention Dilemma.Life (Basel, Switzerland) · 2019
    Review
  15. Article
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.

Tyler Quarton1Bioengineering Department, University of Texas at Dallas, Richardson, TX USA.
Kristina Ehrhardt1Bioengineering Department, University of Texas at Dallas, Richardson, TX USA.
James Lee3Department of Biological Sciences, University of Texas at Dallas, Richardson, TX USA.
Srijaa Kannan4School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX USA.
Yi Li1Bioengineering Department, University of Texas at Dallas, Richardson, TX USA.
Lan Ma1Bioengineering Department, University of Texas at Dallas, Richardson, TX USA.
Leonidas Bleris1Bioengineering Department, University of Texas at Dallas, Richardson, TX USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are a class of short, noncoding RNAs that are ubiquitous modulators of gene expression, with roles in development, homeostasis, and disease. Engineered microRNAs are now frequently used as regulatory modules in synthetic biology. Moreover, synthetic gene circuits equipped with engineered microRNA targets with perfect complementarity to endogenous microRNAs establish an interface with the endogenous milieu at the single-cell level. The function of engineered microRNAs and sensor systems is typically optimized through extensive trial-and-error. Here, using a combination of synthetic biology experimentation in human embryonic kidney cells and quantitative analysis, we investigate the relationship between input genetic template abundance, microRNA concentration, and output under microRNA control. We provide a framework that employs the complete operational landscape of a synthetic gene circuit and enables the stepwise development of mathematical models. We derive a phenomenological model that recapitulates experimentally observed nonlinearities and contains features that provide insight into the microRNA function at various abundances. Our work facilitates the characterization and engineering of multi-component genetic circuits and specifically points to new insights on the operation of microRNAs as mediators of endogenous information and regulators of gene expression in synthetic biology.

Identifiers

PMID29354284
PMCPMC5765153

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Registered trials

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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.