Chapter title |
In Silico Expression Analysis
|
---|---|
Chapter number | 16 |
Book title |
Plant Synthetic Promoters
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-6396-6_16 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6394-2, 978-1-4939-6396-6
|
Authors |
Julio Bolívar, Reinhard Hehl, Lorenz Bülow |
Editors |
Reinhard Hehl |
Abstract |
Information on the specificity of cis-sequences enables the design of functional synthetic plant promoters that are responsive to specific stresses. Potential cis-sequences may be experimentally tested, however, correlation of genomic sequence with gene expression data enables an in silico expression analysis approach to bioinformatically assess the stress specificity of candidate cis-sequences prior to experimental verification. The present chapter demonstrates an example for the in silico validation of a potential cis-regulatory sequence responsive to cold stress. The described online tool can be applied for the bioinformatic assessment of cis-sequences responsive to most abiotic and biotic stresses of plants. Furthermore, a method is presented based on a reverted in silico expression analysis approach that predicts highly specific potentially functional cis-regulatory elements for a given stress. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 4 | 67% |
Student > Postgraduate | 1 | 17% |
Other | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 67% |
Biochemistry, Genetics and Molecular Biology | 2 | 33% |