↓ Skip to main content

Synthetic Biology – Metabolic Engineering

Overview of attention for book
Attention for Chapter 8: Promoter and Terminator Discovery and Engineering
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
71 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Promoter and Terminator Discovery and Engineering
Chapter number 8
Book title
Synthetic Biology – Metabolic Engineering
Published in
Advances in biochemical engineering biotechnology, June 2016
DOI 10.1007/10_2016_8
Pubmed ID
Book ISBNs
978-3-31-955317-7, 978-3-31-955318-4
Authors

Deaner, Matthew, Alper, Hal S, Matthew Deaner, Hal S. Alper, Alper, Hal S.

Abstract

Control of gene expression is crucial to optimize metabolic pathways and synthetic gene networks. Promoters and terminators are stretches of DNA upstream and downstream (respectively) of genes that control both the rate at which the gene is transcribed and the rate at which mRNA is degraded. As a result, both of these elements control net protein expression from a synthetic construct. Thus, it is highly important to discover and engineer promoters and terminators with desired characteristics. This chapter highlights various approaches taken to catalogue these important synthetic elements. Specifically, early strategies have focused largely on semi-rational techniques such as saturation mutagenesis to diversify native promoters and terminators. Next, in an effort to reduce the length of the synthetic biology design cycle, efforts in the field have turned towards the rational design of synthetic promoters and terminators. In this vein, we cover recently developed methods such as hybrid engineering, high throughput characterization, and thermodynamic modeling which allow finer control in the rational design of novel promoters and terminators. Emphasis is placed on the methodologies used and this chapter showcases the utility of these methods across multiple host organisms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
United States 1 1%
China 1 1%
Unknown 68 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Researcher 9 13%
Student > Doctoral Student 6 8%
Student > Bachelor 5 7%
Student > Master 5 7%
Other 9 13%
Unknown 24 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 32%
Agricultural and Biological Sciences 9 13%
Engineering 4 6%
Chemical Engineering 2 3%
Immunology and Microbiology 2 3%
Other 5 7%
Unknown 26 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 April 2018.
All research outputs
#17,807,987
of 22,876,619 outputs
Outputs from Advances in biochemical engineering biotechnology
#142
of 225 outputs
Outputs of similar age
#243,671
of 343,019 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#3
of 4 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 225 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 343,019 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.