| Title |
Employing aromatic tuning to modulate output from two-component signaling circuits
|
|---|---|
| Published in |
Journal of Biological Engineering, May 2015
|
| DOI | 10.1186/s13036-015-0003-2 |
| Pubmed ID | |
| Authors |
Rahmi Yusuf, Roger R Draheim |
| Abstract |
Two-component signaling circuits (TCSs) govern the majority of environmental, pathogenic and industrial processes undertaken by bacteria. Therefore, controlling signal output from these circuits in a stimulus-independent manner is of central importance to synthetic microbiologists. Aromatic tuning, or repositioning the aromatic residues commonly found at the cytoplasmic end of the final TM helix has been shown to modulate signal output from the aspartate chemoreceptor (Tar) and the major osmosensor (EnvZ) of Escherichia coli. Aromatic residues are found in a similar location within other bacterial membrane-spanning receptors, suggesting that aromatic tuning could be harnessed for a wide-range of applications. Here, a brief synopsis of the data underpinning aromatic tuning, the initial successes with the method and the inherent advantages over those previously employed for modulating TCS signal output are presented. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 5% |
| Denmark | 1 | 5% |
| Argentina | 1 | 5% |
| Unknown | 19 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Unspecified | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Lecturer > Senior Lecturer | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 6 | 27% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 36% |
| Agricultural and Biological Sciences | 4 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Unspecified | 2 | 9% |
| Immunology and Microbiology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 August 2018.
All research outputs
#4,689,747
of 22,758,963 outputs
Outputs from Journal of Biological Engineering
#73
of 259 outputs
Outputs of similar age
#60,045
of 265,207 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 5 outputs
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So far Altmetric has tracked 259 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 67% of its peers.
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