| Chapter title |
Quantitative Reverse Transcription-qPCR-Based Gene Expression Analysis in Plants.
|
|---|---|
| Chapter number | 2 |
| Book title |
Plant Signal Transduction
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3115-6_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3114-9, 978-1-4939-3115-6
|
| Authors |
Abdallah, Heithem Ben, Bauer, Petra, Heithem Ben Abdallah, Petra Bauer |
| Abstract |
The investigation of gene expression is an initial and essential step to understand the function of a gene in a physiological context. Reverse transcription-quantitative real-time PCR (RT-qPCR) assays are reproducible, quantitative, and fast. They can be adapted to study model and non-model plant species without the need to have whole genome or transcriptome sequence data available. Here, we provide a protocol for a reliable RT-qPCR assay, which can be easily adapted to any plant species of interest. We describe the design of the qPCR strategy and primer design, considerations for plant material generation, RNA preparation and cDNA synthesis, qPCR setup and run, and qPCR data analysis, interpretation, and final presentation. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 18% |
| Student > Bachelor | 4 | 12% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Master | 3 | 9% |
| Lecturer | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 32% |
| Biochemistry, Genetics and Molecular Biology | 7 | 21% |
| Environmental Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 14 | 41% |