| Chapter title |
Assessing Telomerase Activities in Mammalian Cells Using the Quantitative PCR-Based Telomeric Repeat Amplification Protocol (qTRAP)
|
|---|---|
| Chapter number | 9 |
| Book title |
Telomeres and Telomerase
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/978-1-4939-6892-3_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6891-6, 978-1-4939-6892-3
|
| Authors |
Shuai Jiang, Mengfan Tang, Huawei Xin, Junjiu Huang |
| Editors |
Zhou Songyang |
| Abstract |
Telomerase expression and activity appear elevated in >80% of human cancers. The activity of the telomerase may serve as a diagnostic marker for malignancy, and an indicator of the proliferative potential of somatic and stem cells. The telomeric repeat amplification protocol (TRAP) is a sensitive and accurate PCR-based assay for telomerase detection and measurement. Here, we describe a quantitative PCR-based TRAP assay (qTRAP) that is more convenient and amenable to high-throughput applications compared to traditional gel-based TRAP assays. qTRAP can not only facilitate drug screening processes for compounds that regulate telomerase activities but also enable the measurement of total telomerase activities of cultured cells or clinical specimens; the latter should prove particularly valuable to investigators of malignancies and diseases that are associated with telomerase and telomere dysfunction. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Student > Bachelor | 2 | 14% |
| Student > Doctoral Student | 2 | 14% |
| Student > Master | 2 | 14% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 43% |
| Nursing and Health Professions | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 5 | 36% |