Clinical Applications of PCR
Springer New York
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Timeline
Mendeley readers
| Chapter title |
Digital PCR: Principles and Applications
|
|---|---|
| Chapter number | 5 |
| Book title |
Clinical Applications of PCR
|
| Published in |
Methods in molecular biology, February 2016
|
| DOI | 10.1007/978-1-4939-3360-0_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3358-7, 978-1-4939-3360-0
|
| Authors |
Kanagal-Shamanna, Rashmi, Rashmi Kanagal-Shamanna |
| Editors |
Rajyalakshmi Luthra, Rajesh R. Singh, Keyur P. Patel |
| Abstract |
Digital PCR is a robust PCR technique that enables precise and accurate absolute quantitation of target molecules by diluting and partitioning of the samples into numerous compartments. Automated partitioning can be attained by creating "water-in-oil" emulsion (emulsion-based digital PCR) or using a chip with microchannels (microfluidics-based digital PCR). We discuss the advantages and a wide variety of clinical applications of this technique. We describe the droplet digital RT-PCR protocol published by Jennings et al. for identification and absolute quantitation of BCR-ABL1 transcripts. |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Mexico | 1 | <1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 124 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 14% |
| Student > Bachelor | 17 | 13% |
| Researcher | 11 | 9% |
| Student > Ph. D. Student | 11 | 9% |
| Other | 8 | 6% |
| Other | 18 | 14% |
| Unknown | 45 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 23% |
| Engineering | 14 | 11% |
| Agricultural and Biological Sciences | 8 | 6% |
| Medicine and Dentistry | 8 | 6% |
| Computer Science | 3 | 2% |
| Other | 15 | 12% |
| Unknown | 50 | 39% |