The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The Landscape of MicroRNA, Piwi-Interacting RNA, and Circular RNA in Human Saliva
Open accessAbstract
BACKGROUND: Extracellular RNAs (exRNAs) in human body fluids are emerging as effective biomarkers for detection of diseases. Saliva, as the most accessible and noninvasive body fluid, has been shown to harbor exRNA biomarkers for several human diseases. However, the entire spectrum of exRNA from saliva has not been fully characterized. METHODS: Using high-throughput RNA sequencing (RNA-Seq), we conducted an in-depth bioinformatic analysis of noncoding RNAs (ncRNAs) in human cell-free saliva (CFS) from healthy individuals, with a focus on microRNAs (miRNAs), piwi-interacting RNAs (piRNAs), and circular RNAs (circRNAs). RESULTS: Our data demonstrated robust reproducibility of miRNA and piRNA profiles across individuals. Furthermore, individual variability of these salivary RNA species was highly similar to those in other body fluids or cellular samples, despite the direct exposure of saliva to environmental impacts. By comparative analysis of >90 RNA-Seq data sets of different origins, we observed that piRNAs were surprisingly abundant in CFS compared with other body fluid or intracellular samples, with expression levels in CFS comparable to those found in embryonic stem cells and skin cells. Conversely, miRNA expression profiles in CFS were highly similar to those in serum and cerebrospinal fluid. Using a customized bioinformatics method, we identified >400 circRNAs in CFS. These data represent the first global characterization and experimental validation of circRNAs in any type of extracellular body fluid. CONCLUSIONS: Our study provides a comprehensive landscape of ncRNA species in human saliva that will facilitate further biomarker discoveries and lay a foundation for future studies related to ncRNAs in human saliva.
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Cites
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990
Natural RNA circles function as efficient microRNA sponges
Hansen, T. B., Jensen, T. I., Clausen, B. H., Bramsen, J. B., Finsen, B., Damgaard, C. K., & Kjems, J. (2013) · Nature · doi:10.1038/nature11993 · Cited by 7,985
Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids
Théry, C., Amigorena, S., Raposo, G., & Clayton, A. (2006) · Current Protocols in Cell Biology · doi:10.1002/0471143030.cb0322s30 · Cited by 5,766
Chen, X., Ba, Y., Ma, L., Cai, X., Yin, Y., Wang, K., Guo, J., Zhang, Y., Chen, J., Guo, X., et al. (2008) · Cell Research · doi:10.1038/cr.2008.282 · Cited by 4,560
Circular RNAs are abundant, conserved, and associated with ALU repeats
Jeck, W. R., Sorrentino, J. A., Wang, K., Slevin, M. K., Burd, C. E., Liu, J., Marzluff, W. F., & Sharpless, N. E. (2013) · RNA · doi:10.1261/rna.035667.112 · Cited by 4,388
Circular intronic long noncoding RNAs
Zhang, Y., Zhang, X.-O., Chen, T., Xiang, J.-F., Yin, Q.-F., Xing, Y.-H., Zhu, S., Yang, L., & Chen, L.-L. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.08.017 · Cited by 2,221
Chen, T., Yu, W.-H., Izard, J., Baranova, O. V., Lakshmanan, A., & Dewhirst, F. E. (2010) · Database · doi:10.1093/database/baq013 · Cited by 1,162
MicroRNA, mRNA, and protein expression link development and aging in human and macaque brain
Somel, M., Guo, S., Fu, N., Yan, Z., Hu, H. Y., Xu, Y., Yuan, Y., Ning, Z., Hu, Y., Menzel, C., et al. (2010) · Genome Research · doi:10.1101/gr.106849.110 · Cited by 297
Role of Pancreatic Cancer-derived Exosomes in Salivary Biomarker Development
Lau, C., Kim, Y., Chia, D., Spielmann, N., Eibl, G., Elashoff, D., Wei, F., Lin, Y.-L., Moro, A., Grogan, T., et al. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.452458 · Cited by 256
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Cited by
The biogenesis, biology and characterization of circular RNAs
Kristensen, L. S., Andersen, M. S., Stagsted, L. V. W., Ebbesen, K. K., Hansen, T. B., & Kjems, J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0158-7 · Cited by 4,823
Circular RNA: a new star of noncoding RNAs
Qu, S., Yang, X., Li, X., Wang, J., Gao, Y., Shang, R., Sun, W., Dou, K., & Li, H. (2015) · Cancer Letters · doi:10.1016/j.canlet.2015.06.003 · Cited by 1,808
The biogenesis and emerging roles of circular RNAs
Chen, L.-L. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2015.32 · Cited by 1,743
The emerging roles of circRNAs in cancer and oncology
Kristensen, L. S., Jakobsen, T., Hager, H., & Kjems, J. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00585-y · Cited by 1,256
Circular RNA and its mechanisms in disease: From the bench to the clinic
Han, B., Chao, J., & Yao, H. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.01.010 · Cited by 788
Metadata
- Authors
- Bahn, J. H., Zhang, Q., Li, F., Chan, T.-M., Lin, X., Kim, Y., Wong, D. T. W., & Xiao, X.
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-01-01
- Volume
- 61
- Issue
- 1
- Pages
- 221-230
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W2109393499
- Cited by
- 657
- References
- 10
- FWCI
- 12.41
- Type
- journal article
- Language
- en
- Open access
- bronze
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