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Optimization Techniques for miRNA Expression in Low Frequency Immune Cell Populations.

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Version 2 2021-08-16, 14:13
Version 1 2019-11-22, 16:16
journal contribution
posted on 2021-08-16, 14:13 authored by Victoria G Lyons, Natalie L Payne, Claire McCoy

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.

History

Comments

This is a post-peer-review, pre-copyedit version of an article published in Inflammation and Cancer. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-1-4939-7568-6_19

Published Citation

Lyons VG, Payne NL, McCoy CE. Optimization Techniques for miRNA Expression in Low Frequency Immune Cell Populations. Inflammation and Cancer. 2018;1725:237-256.

Publication Date

2018-01-11

PubMed ID

29322422

Department/Unit

  • School of Pharmacy and Biomolecular Sciences