The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Functional interactions among microRNAs and long noncoding RNAs
Open accessAbstract
In mammals, the vast majority of transcripts expressed are noncoding RNAs, ranging from short RNAs (including microRNAs) to long RNAs spanning up to hundreds of kb. While the actions of microRNAs as destabilizers and repressors of the translation of protein-coding transcripts (mRNAs) have been studied in detail, the influence of microRNAs on long noncoding RNA (lncRNA) function is only now coming into view. Conversely, the influence of lncRNAs upon microRNA function is also rapidly emerging. In some cases, lncRNA stability is reduced through the interaction of specific miRNAs. In other cases, lncRNAs can act as microRNA decoys, with the sequestration of microRNAs favoring expression of repressed target mRNAs. Other lncRNAs derepress gene expression by competing with miRNAs for interaction with shared target mRNAs. Finally, some lncRNAs can produce miRNAs, leading to repression of target mRNAs. These microRNA-lncRNA regulatory paradigms modulate gene expression patterns that drive major cellular processes (such as cell differentiation, proliferation, and cell death) which are central to mammalian physiologic and pathologic processes. We review and summarize the types of microRNA-lncRNA crosstalk identified to-date and discuss their influence on gene expression programs.
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Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
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
A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?
Salmena, L., Poliseno, L., Tay, Y., Kats, L., & Pandolfi, P. P. (2011) · Cell · doi:10.1016/j.cell.2011.07.014 · Cited by 7,262
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
Long non-coding RNAs: insights into functions
Mercer, T. R., Dinger, M. E., & Mattick, J. S. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2521 · Cited by 5,654
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
(2008) · doi:10.1038/nrg2290 · Cited by 5,199
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
Functional Demarcation of Active and Silent Chromatin Domains in Human HOX Loci by Noncoding RNAs
Rinn, J. L., Kertesz, M., Wang, J. K., Squazzo, S. L., Xu, X., Brugmann, S. A., Goodnough, L. H., Helms, J. A., Farnham, P. J., Segal, E., et al. (2007) · Cell · doi:10.1016/j.cell.2007.05.022 · Cited by 4,244
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Liu, Y., Zeng, X., He, Z., & Zou, Q. (2017) · IEEE/ACM Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2016.2550432 · Cited by 284
Rynkeviciene, R., Simiene, J., Strainiene, E., Stankevicius, V., Usinskiene, J., Miseikyte Kaubriene, E., Meskinyte, I., Cicenas, J., & Suziedelis, K. (2018) · Cancers · doi:10.3390/cancers11010017 · Cited by 136
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Cheng, H. S., Njock, M.-S., Khyzha, N., Dang, L. T., & Fish, J. E. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00422 · Cited by 69
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Metadata
- Authors
- Yoon, J.-H., Abdelmohsen, K., & Gorospe, M.
- Venue
- Seminars in Cell & Developmental Biology
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 34
- Pages
- 9-14
- ISSN
- 1084-9521 (ISSN-L)
- OpenAlex
- W1989057528
- Cited by
- 655
- References
- 71
- FWCI
- 11.27
- Type
- journal article
- Language
- en
- Open access
- green
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