| Title |
Gateway-compatible inducible vector set for the functional analysis of transcription factors in plants
|
|---|---|
| Published in |
Planta, March 2018
|
| DOI | 10.1007/s00425-018-2873-2 |
| Pubmed ID | |
| Authors |
Zhaolai Guo, Xudong Sun, Huini Xu |
| Abstract |
The inducible vectors pER8-Gateway-3Flag and pER8-Gateway-3Flag-SRDX have been subjected to considerable research in terms of the function of transcription factors (TFs) via transcription activity and repression, respectively. Approximately 1500 TFs have been identified in Arabidopsis thaliana genome. To identify their functions, loss-of-function and gain-of-function mutants were generated to analyze the phenotype. However, many loss-of-function mutants did not show any evident phenotype because of the functional redundancy within the TF family. The constitutive misexpression of some TFs may result in lethality or sterility. To overcome these problems, we produced a Gateway-compatible inducible binary vector system that facilitates fast and reliable DNA cloning and biological function identification. The vector can be used for the inducible expression of protein fusions to a polypeptide protein tag named 3xFLAG tag. This vector system can also be used to generate an inducible transcription inhibition of protein fusion to an Ethylene-Responsive Factor-associated amphiphilic repression (EAR) motif. The EAR motif makes it possible to get rid of redundancy within a TF family, thereby facilitating studies on loss of function. With these Gateway vectors, conventional subcloning technology that depends on restriction digestion and ligation is avoided. Thus, these Gateway vectors should be useful not only for the rapid analysis of the functions of redundant plant TFs, but also for the manipulation of TF overexpression, resulting in plant lethality or sterility, via an inducible promoter. |
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 States | 2 | 50% |
| Canada | 1 | 25% |
| Unknown | 1 | 25% |
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 % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Student > Master | 3 | 14% |
| Professor > Associate Professor | 2 | 9% |
| Unspecified | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 50% |
| Unspecified | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Medicine and Dentistry | 1 | 5% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 August 2018.
All research outputs
#13,974,585
of 23,666,309 outputs
Outputs from Planta
#1,701
of 2,790 outputs
Outputs of similar age
#174,742
of 333,753 outputs
Outputs of similar age from Planta
#6
of 35 outputs
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