Evidence map›Paper›PMID 20149718›Full record

ReviewCurrent opinion in microbiology2010

Use of two-component signal transduction systems in the construction of synthetic genetic networks.

Alexander J Ninfa

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Widespread Arginine Phosphorylation in Staphylococcus aureus.Molecular & cellular proteomics : MCP · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Biofuel metabolic engineering with biosensors.Current opinion in chemical biology · 2016
    Review
  7. Article
  8. Review
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  11. Review
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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

1 author at 1 institution in 1 country.

Alexander J NinfaDepartment of Biological Chemistry, University of Michigan Medical School, Ann Arbor, MI 48109-0606, USA. aninfa@umich.edu
University of Michigan–Ann Arbor · US

Funding

Genetic Systems Bioengineering for Escherichia coliR01GM063642 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NINFA, ALEXANDER J. · 2001 to 2009
$2.4M
Structure/function analysis of the E. coli NIR/NRII signal transduction systemR01GM059637 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NINFA, ALEXANDER J. · 2001 to 2009
$2.3M
NIGMS NIH HHS GM059637NIGMS NIH HHS R01 GM059637NIGMS NIH HHS R01 GM063642
6 · The paper itself

Abstract

Two-component signal transduction systems are a common type of signaling system in prokaryotes; the typical cell has dozens of systems regulating aspects of physiology and controlling responses to environmental conditions. In this review, I consider how these systems may be useful for engineering novel cell functions. Examples of successful incorporation of two-component systems into engineered systems are noted, and features of the systems that favor or hinder potential future use of these signaling systems for synthetic biology applications are discussed. The focus will be on the engineering of novel couplings of sensory functions to signaling outputs. Recent successes in this area are noted, such as the development of light-sensitive transmitter proteins and chemotactic receptors responsive to nitrate.

Indexed as

Bacterial ProteinsGene Expression Regulation, BacterialGene Regulatory NetworksGenetic EngineeringComputational BiologyEscherichia coliSignal TransductionSinorhizobium melilotiBacterial Proteins

Identifiers

PMID20149718
PMCPMC3547608
OpenAlexW2039596457

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.