Evidence map›Paper›PMID 24059508›Full record

ReviewBiochemical Society transactions2013

Rewiring cell signalling through chimaeric regulatory protein engineering.

Baojun Wang, Mauricio Barahona, Martin Buck, Jörg Schumacher

Open access · hybridAbstract readReview
In one paragraph

Review in Biochemical Society transactions, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. ACS omega · 2023
    Review
  2. Article
  3. Regulated strategies of cold-adapted microorganisms in response to cold: a review.Environmental science and pollution research international · 2021
    Review
  4. Article
  5. Review
  6. Synthetic Biology Enables Programmable Cell-Based Biosensors.Chemphyschem : a European journal of chemical physics and physical chemistry · 2020
    Review
  7. Article
  8. Review
  9. Review
  10. 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 at 1 institution in 1 country.

Baojun Wang*Department of Mathematics, Imperial College London, London SW7 2AZ, U.K.
Mauricio Barahona
Martin Buck
Jörg Schumacher
Imperial College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G020434/1
6 · The paper itself

Abstract

Bacterial cells continuously sense and respond to their environment using their inherent signalling and gene regulatory networks. Cells are equipped with parallel signalling pathways, which can specifically cope with individual input signals, while interconnectivities between pathways lead to an enhanced complexity of regulatory responses that enable sophisticated adaptation. In principle, any cell signalling pathway may be rewired to respond to non-cognate signals by exchanging and recombining their underlying cognate signalling components. In the present article, we review the engineering strategies and use of chimaeric regulatory proteins in cell signalling pathways, especially the TCS (two-component signalling) system in bacteria, to achieve novel customized signalling or regulatory functions. We envisage that engineered chimaeric regulatory proteins can play an important role to aid both forward and reverse engineering of biological systems for many desired applications.

Indexed as

Gene Regulatory NetworksProtein EngineeringBacteriaCell CommunicationGene Expression Regulation, BacterialProteinsRecombinant Fusion ProteinsSignal TransductionSynthetic BiologyProteinsRecombinant Fusion Proteins

Identifiers

PMID24059508
PMCPMC3782828
OpenAlexW2133058353

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.