Evidence map›Paper›PMID 29428414›Full record

ArticleCell systems2018

Design of Adjacent Transcriptional Regions to Tune Gene Expression and Facilitate Circuit Construction.

Fuqing Wu, Qi Zhang, Xiao Wang

Abstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. A Predictive Reaction-diffusion Based Model ofIEEE control systems letters · 2021
    Article
  4. Review
  5. Article
  6. 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

3 authors.

Fuqing WuSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.
Qi ZhangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.
Xiao WangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA. Electronic address: xiaowang@asu.edu.

Funding

Forward engineering to understand gene regulatory network topologiesR01GM106081 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, XIAO · 2014 to 2018
$1.7M
NIGMS NIH HHS R01 GM106081
6 · The paper itself

Abstract

Polycistronic architecture is common for synthetic gene circuits, however, it remains unknown how expression of one gene is affected by the presence of other genes/noncoding regions in the operon, termed adjacent transcriptional regions (ATR). Here, we constructed synthetic operons with a reporter gene flanked by different ATRs, and we found that ATRs with high GC content, small size, and low folding energy lead to high gene expression. Based on these results, we built a model of gene expression and generated a metric that takes into account ATRs. We used the metric to design and construct logic gates with low basal expression and high sensitivity and nonlinearity. Furthermore, we rationally designed synthetic 5'ATRs with different GC content and sizes to tune protein expression levels over a 300-fold range and used these to build synthetic toggle switches with varying basal expression and degrees of bistability. Our comprehensive model and gene expression metric could facilitate the future engineering of more complex synthetic gene circuits.

Indexed as

AnimalsGene ExpressionGene Expression RegulationGene Regulatory NetworksGenetic EngineeringHumansModels, GeneticOperonSynthetic BiologyTranscription, Geneticadjacent transcriptional regioncircuit designgene expressionsynthetic gene networks

Identifiers

PMID29428414
PMCPMC5832616

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.