Document Type

Article

Publication Date

11-1-2018

Keywords

Absolute quantification, Experimental autoimmune encephalomyelitis, Immune cells, Mean normalization, RT-PCR, Relative quantification, Standard curve, microRNA

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

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.

Disciplines

Life Sciences

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.

PubMed ID

29322422

DOI Link

10.1007/978-1-4939-7568-6_19

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

Available for download on Saturday, January 12, 2019

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