Chapter title |
Circulating MicroRNAs in Cancer.
|
---|---|
Chapter number | 12 |
Book title |
MicroRNA Profiling
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6524-3_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6522-9, 978-1-4939-6524-3
|
Authors |
Killian P. O’Brien, Eimear Ramphul, Linda Howard, William M. Gallagher, Carmel Malone, Michael J. Kerin, Róisín M. Dwyer, O'Brien, Killian P, Ramphul, Eimear, Howard, Linda, Gallagher, William M, Malone, Carmel, Kerin, Michael J, Dwyer, Róisín M |
Editors |
Sweta Rani |
Abstract |
It is believed that microRNAs have potential as circulating biomarkers of disease; however, successful clinical implementation remains a challenge. This chapter highlights broad variations in approaches to microRNA analysis where whole blood, serum and plasma have each been employed as viable sources. Further discrepancies in approaches are seen in endogenous controls and extraction methods utilized. This has resulted in contradictory publications, even when the same microRNA is targeted in the same disease setting.Analysis of blood samples highlighted the impact of both collection method and storage, on the microRNA profile. Analysis of a panel of microRNAs across whole blood, serum, and plasma originating from the same individual emphasized the impact of starting material on microRNA profile. This is a highly topical field of research with immense potential for translation into the clinical setting. Standardization of sample harvesting, processing and analysis will be key to this translation. Methods of sample harvesting, preservation, and analysis are outlined, with important mitigating factors highlighted. |
X Demographics
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Ireland | 2 | 40% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Members of the public | 1 | 20% |
Mendeley readers
Geographical breakdown
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Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 3 | 27% |
Student > Bachelor | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Professor > Associate Professor | 1 | 9% |
Other | 0 | 0% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 2 | 18% |
Immunology and Microbiology | 1 | 9% |
Agricultural and Biological Sciences | 1 | 9% |
Unknown | 3 | 27% |