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Mendeley readers
| Chapter title |
Optimization Techniques for miRNA Expression in Low Frequency Immune Cell Populations
|
|---|---|
| Chapter number | 19 |
| Book title |
Inflammation and Cancer
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7568-6_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7567-9, 978-1-4939-7568-6
|
| Authors |
Victoria G. Lyons, Natalie L. Payne, Claire E. McCoy, Lyons, Victoria G., Payne, Natalie L., McCoy, Claire E. |
| Abstract |
In this chapter we outline a RNA extraction method for very low immune cell populations isolated from the central nervous system of mice undergoing experimental autoimmune encephalomyelitis. We compare various normalization and quantification techniques to examine miRNA expression. Our data highlight that employing a mean normalization procedure using a number of well-selected housekeeping miRNA genes, followed by absolute quantification with a standard curve generated from a commercial miRNA oligo, gave the most robust and reproducible miRNA expression results. |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 50% |
| Researcher | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 50% |
| Energy | 1 | 50% |