Chapter title |
Profiling of MicroRNAs in the Biofluids of Livestock Species
|
---|---|
Chapter number | 5 |
Book title |
MicroRNA Protocols
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7601-0_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7600-3, 978-1-4939-7601-0
|
Authors |
Jason Ioannidis, Judith Risse, F. Xavier Donadeu, F Xavier Donadeu, Ioannidis, Jason, Risse, Judith, Donadeu, F. Xavier |
Abstract |
The value of circulating microRNAs (miRNAs) as noninvasive biomarkers of human disease has been extensively demonstrated. Significant potential also exists in other species, particularly in relation to control of veterinary diseases and selection/monitoring of production traits in livestock. Although robust protocols have been developed for miRNA profiling of human biofluids, significant optimization may be required before these can be applied to other species. In this chapter, we describe protocols for small-RNA sequencing and RT-qPCR analyses of plasma samples from livestock species. In addition, we provide brief data analysis protocols for small-RNA sequencing and RT-qPCR data. Finally, we highlight important considerations for these protocols such as low RNA yield, platform-specific biases, and optimal normalization approaches. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 60% |
Australia | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 15% |
Other | 1 | 8% |
Student > Bachelor | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Other | 1 | 8% |
Unknown | 6 | 46% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 3 | 23% |
Veterinary Science and Veterinary Medicine | 2 | 15% |
Environmental Science | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Chemistry | 1 | 8% |
Other | 0 | 0% |
Unknown | 5 | 38% |