| Chapter title |
Using Quantitative Real-Time PCR to Detect MicroRNA Expression Profile During Embryonic Stem Cell Differentiation
|
|---|---|
| Chapter number | 18 |
| Book title |
RNAi and Small Regulatory RNAs in Stem Cells
|
| Published in |
Methods in molecular biology, July 2017
|
| DOI | 10.1007/978-1-4939-7108-4_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7106-0, 978-1-4939-7108-4
|
| Authors |
Pan, Xiaoping, Murashov, Alexander K., Stellwag, Edmund J., Zhang, Baohong, Xiaoping Pan, Alexander K. Murashov, Edmund J. Stellwag, Baohong Zhang |
| Editors |
Baohong Zhang |
| Abstract |
Quantitative real-time PCR (qRT-PCR) is a reliable method to determine and monitor microRNA (miRNA) expression profiles in different cells, tissues, and organisms. Although there are several different strategies in performing qRT-PCR to determine miRNA expression, all of them have two steps in common: reverse transcription for obtaining cDNA from mature miRNA sequencing and standard real-time PCR for amplification of cDNA. This chapter demonstrates the application of quantitative real-time PCR for determining miRNA expression profiles during mouse embryonic stem cell differentiation. In this method, a mature miRNA sequence is first reverse transcribed into a long cDNA with a 40-50 nt miRNA-specific stem-loop primer; then, a standard real-time PCR reaction is performed for determining miRNA expression using a forward miRNA-specific primer and a universal reverse primer. |
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 % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 7% |
| Librarian | 1 | 7% |
| Other | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 4 | 27% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Unspecified | 1 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Social Sciences | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 6 | 40% |