Evidence map›Paper›PMID 21819083›Full record

ArticleACS chemical biology2011

proTeOn and proTeOff, new protein devices that inducibly activate bacterial gene expression.

Katherine Volzing, Konstantinos Biliouris, Yiannis N Kaznessis

Abstract read
In one paragraph

Article in ACS chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Advanced delivery systems for peptide antibiotics.Advanced drug delivery reviews · 2023
    Review
  2. Review
  3. Status quo of tet regulation in bacteria.Microbial biotechnology · 2022
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Chemical master equation closure for computer-aided synthetic biology.Methods in molecular biology (Clifton, N.J.) · 2015
    Article
  10. Review
  11. Article
  12. 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 at 1 institution in 1 country.

Katherine VolzingDepartment of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, 55455, United States.
Konstantinos Biliouris
Yiannis N Kaznessis
University of Minnesota · US

Funding

Computational Modeling /Design of Antimicrobial PeptidesR01GM070989 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI KAZNESSIS, YIANNIS · 2005 to 2009
$1.1M
Multiscale Models for Synthetic BiologyR01GM086865 · NIGMS · UNIVERSITY OF MINNESOTA · PI KAZNESSIS, YIANNIS · 2009 to 2010
$497k
NIGMS NIH HHS GM086865NIGMS NIH HHS R01 GM070989NIGMS NIH HHS R01 GM086865
6 · The paper itself

Abstract

Using an original workflow, we have modeled, constructed, and characterized two new molecular devices that inducibly activate gene expression in Escherichia coli. The devices, prokaryotic-TetOn and prokaryotic-TetOff, were built by fusing an inducible DNA-binding protein domain to a transcription activation domain and constructing a complementary synthetic promoter sequence through which they could control downstream gene expression. In particular, the transactivators were built using variants of the tetracycline repressor, TetR, and the transactivating domain of the LuxR activator. The complementary promoter sequence included TetR's operator, tetO, and elements of the lux promoter. These specific protein domains and their operator sites were chosen as they have been thoroughly studied and well characterized. First, our methodology began with optimizing the geometry of the molecular components using molecular modeling. We did so to achieve an unprecedented combination of controllable and transactivating function in bacterial organisms. The devices were then built to activate the expression of green fluorescent protein. Their unique function was found to be robustly tight and activating many-fold increases of expressed gene levels, as measured by flow cytometry experiments. The devices were further characterized with stochastic kinetic models. The new devices presented herein may become useful additions to the molecular toolboxes used by biologists to control bacterial gene expression. The methodology used may also be a foundation for the design, development, and characterization of a library of such devices and more complex gene regulatory networks.

Indexed as

Gene Expression Regulation, BacterialBacterial ProteinsBase SequenceEscherichia coliModels, MolecularMolecular Sequence DataProtein Structure, TertiaryRepressor ProteinsTrans-ActivatorsBacterial ProteinsLuxR autoinducer binding proteinsRepressor Proteinstetracycline resistance-encoding transposon repressor proteinTrans-Activators

Identifiers

PMID21819083
PMCPMC3402092
OpenAlexW2086204519

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.