Title |
Selection and validation of reference genes for quantitative gene expression studies by real-time PCR in eggplant (Solanum melongena L)
|
---|---|
Published in |
BMC Research Notes, August 2013
|
DOI | 10.1186/1756-0500-6-312 |
Pubmed ID | |
Authors |
Nagavara Prasad Gantasala, Pradeep Kumar Papolu, Prasoon Kumar Thakur, Divya Kamaraju, Rohini Sreevathsa, Uma Rao |
Abstract |
Analysis of gene expression patterns leads to functional understanding of biological processes. Quantitative real-time PCR has become the most commonly used technique for in-depth studies of gene expression. To quantify variation in specific gene expression, accurate and reliable normalization across different samples and tissues is necessary. This can be achieved by selecting one or more suitable reference genes to compare the target mRNA transcript levels. In the present work, we illustrate the first evaluation of potential internal control or reference genes across different developmental stages of eggplant for reliable quantification of transcripts by real-time PCR. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
France | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 1% |
Greece | 1 | 1% |
Unknown | 72 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 24% |
Researcher | 16 | 22% |
Student > Master | 12 | 16% |
Student > Doctoral Student | 6 | 8% |
Professor > Associate Professor | 4 | 5% |
Other | 11 | 15% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 45 | 61% |
Biochemistry, Genetics and Molecular Biology | 8 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Environmental Science | 2 | 3% |
Nursing and Health Professions | 1 | 1% |
Other | 4 | 5% |
Unknown | 12 | 16% |