| Chapter title |
Plant Synthetic Promoters
|
|---|---|
| Chapter number | 14 |
| Book title |
Plant Synthetic Promoters
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-6396-6_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6394-2, 978-1-4939-6396-6
|
| Authors |
Coll, Anna, Wilson, Mandy L, Gruden, Kristina, Peccoud, Jean, Anna Coll, Mandy L. Wilson, Kristina Gruden, Jean Peccoud |
| Editors |
Reinhard Hehl |
| Abstract |
With the rapid advances in prediction tools for discovery of new promoters and their cis-elements, there is a need to improve plant expression methodologies in order to facilitate a high-throughput functional validation of these promoters in planta. The promoter-reporter analysis is an indispensible approach for characterization of plant promoters. It requires the design of complex plant expression vectors, which can be challenging. Here, we describe the use of a plant grammar implemented in GenoCAD that will allow the users to quickly design constructs for promoter analysis experiments but also for other in planta functional studies. The GenoCAD plant grammar includes a library of plant biological parts organized in structural categories to facilitate their use and management and a set of rules that guides the process of assembling these biological parts into large constructs. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 40% |
| Student > Ph. D. Student | 2 | 20% |
| Professor | 1 | 10% |
| Professor > Associate Professor | 1 | 10% |
| Student > Postgraduate | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 50% |
| Biochemistry, Genetics and Molecular Biology | 2 | 20% |
| Chemical Engineering | 1 | 10% |
| Unknown | 2 | 20% |