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RNA Sequencing Analysis of Saliva exRNA

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Oral Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2588))

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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References

  1. Choy JY, Boon PL, Bertin N, Fullwood MJ (2015) A resource of ribosomal RNA-depleted RNA-Seq data from different normal adult and fetal human tissues. Sci Data 2:150063

    Article  CAS  Google Scholar 

  2. Wang Z, Gerstein M, Snyder M (2009) RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet 10:57–63

    Article  CAS  Google Scholar 

  3. Cloonan N et al (2008) Stem cell transcriptome profiling via massive-scale mRNA sequencing. Nat Methods 5:613–619

    Article  CAS  Google Scholar 

  4. Morin R et al (2008) Profiling the HeLa S3 transcriptome using randomly primed cDNA and massively parallel short-read sequencing. Biotechniques 45:81–94

    Article  CAS  Google Scholar 

  5. Mortazavi A, Williams BA, McCue K, Schaeffer L, Wold B (2008) Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Methods 5:621–628

    Article  CAS  Google Scholar 

  6. Pastinen T (2010) Genome-wide allele-specific analysis: insights into regulatory variation. Nat Rev Genet 11:533–538

    Article  CAS  Google Scholar 

  7. Kumasaka N, Knights AJ, Gaffney DJ (2016) Fine-mapping cellular QTLs with RASQUAL and ATAC-seq. Nat Genet 48(2):206–213

    Article  CAS  Google Scholar 

  8. Conesa A, Madrigal P, Tarazona S, Gomez-Cabrero D, Cervera A, McPherson A, Szcześniak MW, Gaffney DJ, Elo LL, Zhang X, Mortazavi A (2016) A survey of best practices for RNA-seq data analysis. Genome Biol 17:13

    Article  Google Scholar 

  9. Nagalakshmi U et al (2008) The transcriptional landscape of the yeast genome defined by RNA sequencing. Science 320:1344–1349

    Article  CAS  Google Scholar 

  10. Head SR, Komori HK, LaMere SA, Whisenant T, Van Nieuwerburgh F, Salomon DR et al (2014) Library construction for next-generation sequencing: overviews and challenges. Biotechniques 56:61–64

    Article  CAS  Google Scholar 

  11. Takeshita T, Kageyama S, Furuta M, Tsuboi H, Takeuchi K, Shibata Y, Shimazaki Y, Akifusa S, Ninomiya T, Kiyohara Y, Yamashita Y (2016) Bacterial diversity in saliva and oral health-related conditions: the Hisayama Study. Sci Rep 24(6):22164

    Article  Google Scholar 

  12. Yeri A, Courtright A, Reiman R, Carlson E, Beecroft T, Janss A, Siniard A, Richholt R, Balak C, Rozowsky J, Kitchen R, Hutchins E, Winarta J, McCoy R, Anastasi M, Kim S, Huentelman M, Van Keuren-Jensen K (2017) Total extracellular small RNA profiles from plasma, saliva, and urine of healthy subjects. Sci Rep 17(7):44061

    Article  Google Scholar 

  13. Majem B, Li F, Sun J, Wong DT (2017) RNA sequencing analysis of salivary extracellular RNA. Methods Mol Biol 1537:17–36

    Article  CAS  Google Scholar 

  14. Levin JZ, Yassour M, Adiconis X, Nusbaum C, Thompson DA, Friedman N, Gnirke A, Regev A (2010) Comprehensive comparative analysis of strand-specific RNA sequencing methods. Nat Methods 7:709–715

    Article  CAS  Google Scholar 

  15. Tavares L, Alves PM, Ferreira RB, Santos CN (2011) Comparison of different methods for DNA-free RNA isolation from SK-N-MC neuroblastoma. BMC Res Notes 4:3

    Article  CAS  Google Scholar 

  16. Esser KH, Marx WH, Lisowsky T (2005) Nucleic acid-free matrix: regeneration of DNA binding columns. Biotechniques 39:270–271

    Article  CAS  Google Scholar 

  17. St John MA, Li Y, Zhou X, Denny P, Ho CM, Montemagno C, Shi W, Qi F, Wu B, Sinha U, Jordan R, Wolinsky L, Park NH, Liu H, Abemayor E, Wong DT (2004) Interleukin 6 and interleukin 8 as potential biomarkers for oral cavity and oropharyngeal squamous cell carcinoma. Arch Otolaryngol Head Neck Surg 130(8):929–935

    Article  Google Scholar 

  18. Henson BS, Wong DT (2010) Collection, storage, and processing of saliva samples for downstream molecular applications. Methods Mol Biol 666:21–30

    Article  Google Scholar 

  19. Li F, Kaczor-Urbanowicz KE, Sun J, Majem B, Lo HC, Kim Y, Koyano K, Rao SL, Kang SY, Kim SM, Kim KM, Kim S, Chia D, Elashoff D, Grogan TR, Xiao X, Wong DTW (2018) Characterization of human salivary extracellular RNA by next-generation sequencing. Clin Chem 64(7):1085–1095

    Article  CAS  Google Scholar 

  20. Fromm B, Harris PD, Bachmann L (2011) MicroRNA preparations from individual monogenean Gyrodactylus salaris-a comparison of six commercially available totalRNA extraction kits. BMC Res Notes 4:217

    Article  CAS  Google Scholar 

  21. Sambrook J, Fritsch EF, Maniatis T (1989) Molecular cloning: a laboratory manual. Cold Spring Harbor Press, New York

    Google Scholar 

  22. Manchester KL (1996) Use of UV methods for measurement of protein and nucleic acid concentrations. Biotechniques 20:968–970

    Article  CAS  Google Scholar 

  23. Zhu YY, Machleder EM, Chenchik A, Li R, Siebert PD (2001) Reverse transcriptase template switching: a SMART approach for full-length cDNA library construction. Biotechniques 30:892–897

    Article  CAS  Google Scholar 

  24. Kaczor-Urbanowicz KE, Kim Y, Li F, Galeev T, Kitchen RR, Gerstein M, Koyano K, Jeong SH, Wang X, Elashoff D, Kang SY, Kim SM, Kim K, Kim S, Chia D, Xiao X, Rozowsky J, Wong DTW (2018) Novel approaches for bioinformatic analysis of salivary RNA sequencing data for development. Bioinformatics 34(1):1–8

    Article  CAS  Google Scholar 

  25. Diaz PI, Dupuy AK, Abusleme L, Reese B, Obergfell C, Choquette L, Dongari-Bagtzoglou A, Peterson DE, Terzi E, Strausbaugh LD (2012) Using high throughput sequencing to explore the bio-diversity in oral bacterial communities. Mol Oral Microbiol 27:182–201

    Article  CAS  Google Scholar 

  26. Pereira JV, Leomil L, Rodrigues-Alburquerque F, Pereira JO, Astolfi-Filho S (2012) Bacterial diversity in the saliva of patients with different oral hygiene indexes. Braz Dent J 23:409–416

    Article  Google Scholar 

  27. O’Neil D, Glowatz H, Schlumpberger M (2013) Ribosomal RNA depletion for efficient use of RNA-seq capacity. Curr Protoc Mol Biol 2013:Chapter 4:Unit 4.19. https://doi.org/10.1002/0471142727.mb0419s103

  28. Cui P, Lin Q, Ding F, Xin C, Gong W, Zhang L, Geng J, Zhang B, Yu X, Yang J, Hu S, Yu J (2010) A comparison between ribo-minus RNA-sequencing and polyA-selected RNA-sequencing. Genomics 96:259–265

    Article  CAS  Google Scholar 

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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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Correspondence to David T. W. Wong .

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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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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2779-2

  • Online ISBN: 978-1-0716-2780-8

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