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Salivary MicroRNAs and Oral Cancer Detection

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MicroRNA Protocols

Part of the book series: Methods in Molecular Biology ((MIMB,volume 936))

Abstract

MicroRNAs (miRNAs) in human saliva have recently become an emerging field in saliva research for ­diagnostics applications and its potential role in biological implications. miRNAs are short noncoding RNA molecules that play important roles in regulating a variety of cellular processes. Dysregulation of miRNAs are known to be associated with many diseases. miRNAs were found present in the saliva of OSCC patients and could serve as potential biomarkers for oral cancer detection. Understanding the biological function of miRNAs in association with diseases is important towards utilizing miRNAs as diagnostic markers. There are currently a variety of profiling methods available for detecting miRNA expression levels. In this chapter, we overview the Applied Biosystem Stem-loop RT based Taqman MicroRNA Assay for salivary miRNA profiling. Using this highly sensitive and specific assay, miRNAs in saliva are profiled with only a few nanograms of starting RNA. This method is also applicable for studying biomarkers in other body fluids or clinical samples that contain small amounts of RNA.

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Acknowledgments

This work was supported by the National Institute of Dental and Craniofacial Research/NIH grants (RO1DE017170), the Felix & Mildred Yip Endowed Professorship and the Annie and Kevin Barnes Research Funds. We thank Caifu Chen, Mildad Binas, and tech support at Applied Biosystems for their guidance and suggestions.

Conflict of Interest: D.T.W. Wong is cofounder of RNAmeTRIX, a molecular diagnostic company.

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Correspondence to David T. W. Wong .

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Yoshizawa, J.M., Wong, D.T.W. (2013). Salivary MicroRNAs and Oral Cancer Detection. In: Ying, SY. (eds) MicroRNA Protocols. Methods in Molecular Biology, vol 936. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-083-0_24

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  • DOI: https://doi.org/10.1007/978-1-62703-083-0_24

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-082-3

  • Online ISBN: 978-1-62703-083-0

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