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Chapter title |
Generation of dTALEs and Libraries of Synthetic TALE-Activated Promoters for Engineering of Gene Regulatory Networks in Plants
|
---|---|
Chapter number | 13 |
Book title |
Plant Gene Regulatory Networks
|
Published in |
Methods in molecular biology, June 2017
|
DOI | 10.1007/978-1-4939-7125-1_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7124-4, 978-1-4939-7125-1
|
Authors |
Schreiber, Tom, Tissier, Alain, Tom Schreiber, Alain Tissier |
Editors |
Kerstin Kaufmann, Bernd Mueller-Roeber |
Abstract |
Transcription factors with programmable DNA-binding specificity constitute valuable tools for the design of orthogonal gene regulatory networks for synthetic biology. Transcription activator-like effectors (TALEs), as natural transcription regulators, were used to design, build, and test libraries of synthetic TALE-activated promoters (STAPs) that show a broad range of expression levels in plants. In this chapter, we present protocols for the construction of artificial TALEs and corresponding STAPs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 13% |
Student > Bachelor | 1 | 13% |
Researcher | 1 | 13% |
Student > Doctoral Student | 1 | 13% |
Unknown | 4 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 38% |
Agricultural and Biological Sciences | 1 | 13% |
Social Sciences | 1 | 13% |
Unknown | 3 | 38% |
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 18 June 2017.
All research outputs
#18,555,330
of 22,981,247 outputs
Outputs from Methods in molecular biology
#7,946
of 13,149 outputs
Outputs of similar age
#241,820
of 316,926 outputs
Outputs of similar age from Methods in molecular biology
#170
of 280 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,149 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.