The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development
Open accessAbstract
Background: The pervasive expression of circular RNA is a recently discovered feature of gene expression in highly diverged eukaryotes, but the functions of most circular RNAs are still unknown. Computational methods to discover and quantify circular RNA are essential. Moreover, discovering biological contexts where circular RNAs are regulated will shed light on potential functional roles they may play. Results: We present a new algorithm that increases the sensitivity and specificity of circular RNA detection by discovering and quantifying circular and linear RNA splicing events at both annotated and un-annotated exon boundaries, including intergenic regions of the genome, with high statistical confidence. Unlike approaches that rely on read count and exon homology to determine confidence in prediction of circular RNA expression, our algorithm uses a statistical approach. Using our algorithm, we unveiled striking induction of general and tissue-specific circular RNAs, including in the heart and lung, during human fetal development. We discover regions of the human fetal brain, such as the frontal cortex, with marked enrichment for genes where circular RNA isoforms are dominant. Conclusions: The vast majority of circular RNA production occurs at major spliceosome splice sites; however, we find the first examples of developmentally induced circular RNAs processed by the minor spliceosome, and an enriched propensity of minor spliceosome donors to splice into circular RNA at un-annotated, rather than annotated, exons. Together, these results suggest a potentially significant role for circular RNA in human development.
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Cites
(2005) · Statistics for Biology and Health · doi:10.1007/0-387-27255-0_9 · Cited by 20,133
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
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
Generalized Linear Models (2nd ed.).
Therneau, T. M., McCullagh, P., & Nelder, J. A. (1993) · Journal of the American Statistical Association · doi:10.2307/2290358 · Cited by 4,907
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
circRNA biogenesis competes with pre-mRNA splicing
Ashwal-Fluss, R., Meyer, M., Pamudurti, N. R., Ivanov, A., Bartok, O., Hanan, M., Evantal, N., Memczak, S., Rajewsky, N., & Kadener, S. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.08.019 · Cited by 3,083
Detecting and characterizing circular RNAs
Jeck, W. R., & Sharpless, N. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.2890 · Cited by 2,702
Salzman, J., Gawad, C., Wang, P. L., Lacayo, N., & Brown, P. O. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030733 · Cited by 2,239
Self-citationLaflamme, M. A., Chen, K. Y., Naumova, A. V., Muskheli, V., Fugate, J. A., Dupras, S. K., Reinecke, H., Xu, C., Hassanipour, M., Police, S., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1327 · Cited by 2,206
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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
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
Circular RNA-protein interactions: functions, mechanisms, and identification
Huang, A., Zheng, H., Wu, Z., Chen, M., & Huang, Y. (2020) · Theranostics · doi:10.7150/thno.42174 · Cited by 907
Circular RNAs: analysis, expression and potential functions
Barrett, S. P., & Salzman, J. (2016) · Development · doi:10.1242/dev.128074 · Cited by 859
Self-citationCircular RNA Expression: Its Potential Regulation and Function
Salzman, J. (2016) · Trends in Genetics · doi:10.1016/j.tig.2016.03.002 · Cited by 804
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Metadata
- Authors
- Szabo, L., Morey, R., Palpant, N. J., Wang, P. L., Afari, N., Jiang, C., Parast, M. M., Murry, C. E., Laurent, L. C., & Salzman, J.
- Venue
- Genome Biology
- Published
- 2015-06-16
- Volume
- 16
- Issue
- 1
- Pages
- 126-126
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W1566841623
- Cited by
- 607
- References
- 48
- FWCI
- 19.30
- Type
- journal article
- Language
- en
- Open access
- gold
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- Szabo, L., Morey, R., Palpant, N. J., Wang, P. L., Afari, N., Jiang, C., Parast, M. M., Murry, C. E., Laurent, L. C., & Salzman, J. (2015). Statistically based splicing detection reveals neural enrichment and tissue-specific induction of circular RNA during human fetal development. Genome Biology. https://doi.org/10.1186/s13059-015-0690-5
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