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

Methods Mol Biol

Hudson Institute of Medical Research, Department of Molecular and Translational Science, Monash University Faculty of Medicine, Nursing and Health Sciences, Clayton, VIC, Australia.

Published: January 2019

AI Article Synopsis

  • This chapter presents an RNA extraction method tailored for low immune cell populations in mice with experimental autoimmune encephalomyelitis.
  • It evaluates different normalization and quantification techniques to analyze miRNA expression levels.
  • The study finds that using mean normalization with carefully chosen housekeeping miRNA genes, along with absolute quantification from a commercial miRNA oligo standard curve, yields the most reliable miRNA expression outcomes.

Article 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.

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http://dx.doi.org/10.1007/978-1-4939-7568-6_19DOI Listing

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