Evidence map›Paper›PMID 30150540›Full record

ReviewSensors (Basel, Switzerland)2018

The Applications of Promoter-gene-Engineered Biosensors.

Yingzhu Feng, Zhangzhang Xie, Xuanlong Jiang, Zhen Li, Yuping Shen, Bochu Wang, Jianzhong Liu

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Yingzhu FengSchool of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China. hnxtfyz123@163.com.
Zhangzhang XieSchool of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China. xiezhzh9@mail.sysu.edu.cn.
Xuanlong JiangSchool of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China. jiangxuanlong_17@163.com.
Zhen LiSchool of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China. Lizzi@163.com.
Yuping ShenSchool of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China. yupp_123@163.com.
Bochu WangKey Laboratory of Bio-Theological Science and Technology of Ministry of Education, College Bioengineering, Chongqing University, Chongqing 400030, China. wangbc2000@126.com.
Jianzhong LiuSchool of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China. fengyzh8@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A promoter is a small region of a DNA sequence that responds to various transcription factors, which initiates a particular gene expression. The promoter-engineered biosensor can activate or repress gene expression through a transcription factor recognizing specific molecules, such as polyamine, sugars, lactams, amino acids, organic acids, or a redox molecule; however, there are few reported applications of promoter-enhanced biosensors. This review paper highlights the strategies of construction of promoter gene-engineered biosensors with human and bacteria genetic promoter arrays with regard to high-throughput screening (HTS) molecular drugs, the study of the membrane protein's localization and nucleocytoplasmic shuttling mechanism of regulating factors, enzyme activity, detection of the toxicity of intermediate chemicals, and probing bacteria density to improve value-added product titer. These biosensors' sensitivity and specificity can be further improved by the proposed approaches of Mn

Indexed as

Genetic EngineeringPromoter Regions, GeneticBacteriaBiosensing TechniquesHumansMetabolic EngineeringTranscription FactorsTranscription Factorsbiosensorgenetic promoter chiphigh-throughput screening (HTS)promoter“push and pull” modesensitivityspecificitytoxicity

Identifiers

PMID30150540
PMCPMC6164924

What OpenQuestion holds

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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.