Chapter title |
Detection of microRNAs Using Chip-Based QuantStudio 3D Digital PCR
|
---|---|
Chapter number | 16 |
Book title |
MicroRNA Detection and Target Identification
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6866-4_16 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6864-0, 978-1-4939-6866-4
|
Authors |
Cristina Borzi, Linda Calzolari, Davide Conte, Gabriella Sozzi, Orazio Fortunato, Borzi, Cristina, Calzolari, Linda, Conte, Davide, Sozzi, Gabriella, Fortunato, Orazio |
Editors |
Tamas Dalmay |
Abstract |
Digital PCR (dPCR) is an innovative approach for detection and quantification of nucleic acid that offers an alternative method to conventional real-time quantitative PCR for absolute quantification. dPCR is a highly precise and sensitive technique that does not require a standard reference, making it a suitable method for the detection of microRNAs. The potential of these small noncoding RNA as biomarkers is on the rise, especially due to their presence in body fluids, making them easily accessible. Nevertheless, the problem of lack of consensus regarding an optimal method for miRNAs normalization compromises their use. Here, we describe an innovative method for the absolute quantification of miRNAs across different types of biological samples using a chip-based platform, the QuantStudio 3D digital PCR. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 21% |
Student > Bachelor | 2 | 14% |
Unspecified | 1 | 7% |
Student > Postgraduate | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 21% |
Medicine and Dentistry | 2 | 14% |
Unspecified | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 43% |