Evidence map›Paper›PMID 29754221›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

Negative Regulation Gene Circuits for Efflux Pump Control.

Daniel A Charlebois, Junchen Diao, Dmitry Nevozhay, Gábor Balázsi

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Daniel A CharleboisThe Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Junchen DiaoDepartment of Systems Biology - Unit 950, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Dmitry NevozhayDepartment of Systems Biology - Unit 950, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gábor BalázsiThe Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA. gabor.balazsi@stonybrook.edu.

Funding

Dynamics and evolution of synthetic and natural gene regulatory networksR35GM122561 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI BALAZSI, GABOR · 2017 to 2025
$4.2M
Investigation on Replicative aging in Cryptococcus neoformans populationsR01AI127704 · NIAID · STATE UNIVERSITY NEW YORK STONY BROOK · PI FRIES, BETTINA · 2017 to 2021
$3.2M
Connecting the selection of noisy gene expression deviants to genetic evolutionDP2OD006481 · OD · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BALAZSI, GABOR · 2009 to 2009
$2.3M
NIAID NIH HHS R01 AI127704NIGMS NIH HHS R35 GM122561NIH HHS DP2 OD006481
6 · The paper itself

Abstract

Synthetic biologists aim to design biological systems for a variety of industrial and medical applications, ranging from biofuel to drug production. Synthetic gene circuits regulating efflux pump protein expression can achieve this by driving desired substrates such as biofuels, pharmaceuticals, or other chemicals out of the cell in a precisely controlled manner. However, efflux pumps may introduce implicit negative feedback by pumping out intracellular inducer molecules that control gene circuits, which then can alter gene circuit function. Therefore, synthetic gene circuits must be carefully designed and constructed for precise efflux control. Here, we provide protocols for quantitatively modeling and building synthetic gene constructs for efflux pump regulation.

Indexed as

BiofuelsGene Regulatory NetworksGenes, SyntheticMembrane Transport ProteinsSynthetic BiologyBiofuelsMembrane Transport ProteinsEfflux pumpFeedbackMathematical modelingSynthetic gene circuit

Identifiers

PMID29754221
PMCPMC6934251

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.