| Title |
Synchronous long-term oscillations in a synthetic gene circuit
|
|---|---|
| Published in |
Nature, October 2016
|
| DOI | 10.1038/nature19841 |
| Pubmed ID | |
| Authors |
Laurent Potvin-Trottier, Nathan D. Lord, Glenn Vinnicombe, Johan Paulsson |
| Abstract |
Synthetically engineered genetic circuits can perform a wide variety of tasks but are generally less accurate than natural systems. Here we revisit the first synthetic genetic oscillator, the repressilator, and modify it using principles from stochastic chemistry in single cells. Specifically, we sought to reduce error propagation and information losses, not by adding control loops, but by simply removing existing features. We show that this modification created highly regular and robust oscillations. Furthermore, some streamlined circuits kept 14 generation periods over a range of growth conditions and kept phase for hundreds of generations in single cells, allowing cells in flasks and colonies to oscillate synchronously without any coupling between them. Our results suggest that even the simplest synthetic genetic networks can achieve a precision that rivals natural systems, and emphasize the importance of noise analyses for circuit design in synthetic biology. |
X Demographics
The data shown below were collected from the profiles of 102 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 States | 24 | 24% |
| United Kingdom | 8 | 8% |
| France | 5 | 5% |
| Japan | 4 | 4% |
| Switzerland | 3 | 3% |
| India | 3 | 3% |
| Australia | 2 | 2% |
| Spain | 2 | 2% |
| Netherlands | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 40 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 54 | 53% |
| Scientists | 42 | 41% |
| Practitioners (doctors, other healthcare professionals) | 4 | 4% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 619 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| France | 2 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| China | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 608 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 170 | 27% |
| Student > Bachelor | 94 | 15% |
| Researcher | 82 | 13% |
| Student > Master | 73 | 12% |
| Student > Doctoral Student | 31 | 5% |
| Other | 70 | 11% |
| Unknown | 99 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 196 | 32% |
| Agricultural and Biological Sciences | 138 | 22% |
| Engineering | 49 | 8% |
| Physics and Astronomy | 39 | 6% |
| Chemistry | 18 | 3% |
| Other | 74 | 12% |
| Unknown | 105 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 113. 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 14 October 2022.
All research outputs
#357,600
of 24,801,176 outputs
Outputs from Nature
#18,388
of 95,890 outputs
Outputs of similar age
#6,999
of 326,128 outputs
Outputs of similar age from Nature
#390
of 1,022 outputs
Altmetric has tracked 24,801,176 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 95,890 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.0. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,128 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 1,022 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.