Abstract
Next-generation sequencing (NGS) methodologies are rapidly developing. However, RNA Sequencing of saliva is challenging due to low abundance and integrity of extracellular RNA, as well as large amounts of bacterial RNAs that may be encountered in saliva. In addition, the literature about human salivary extracellular RNA is very scarce. Therefore, in our chapter, we present the most appropriate protocols for saliva collection, pre- and post-processing, including bioinformatic analysis of salivary RNA Sequencing data. However, the choice of the proper method for RNA extraction, cDNA library preparation, and computational pipeline can make a significant impact on the final quality of data and their interpretation.
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Acknowledgments
This work was supported by the Public Health Service (PHS) grant from the National Institutes of Health (NIH): UH3 TR000923, UG3/UH3 TR002978, 5 R25 DE030117, SEED grant from the UCLA Jonsson Comprehensive Cancer Center / Ali Jassim Family Cancer Research Fund (Y.K.), the QCBio Collaboratory Fellowship 2019-2022 from the Institute for Quantitative & Computational Biosciences at the University of California, Los Angeles (K.E.K-U), and UCLA Jonsson Comprehensive Cancer Center’s (JCCC) Postdoctoral Fellowship Award (K.E.K-U).
Conflicts of Interest
David Wong is consultant to GlaxoSmithKlein, PeriRx, Wrigley, and Colgate-Palmolive. David Wong holds equity in RNAmeTRIX Inc. and Liquid Diagnostics LLC. The University of California also holds equity in RNAmeTRIX. None of the other authors have a conflict of interest in relation to this study.
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Kaczor-Urbanowicz, K.E., Wong, D.T.W. (2023). RNA Sequencing Analysis of Saliva exRNA. In: Seymour, G.J., Cullinan, M.P., Heng, N.C., Cooper, P.R. (eds) Oral Biology. Methods in Molecular Biology, vol 2588. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2780-8_1
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DOI: https://doi.org/10.1007/978-1-0716-2780-8_1
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