MicroRNA sponges: Progress and possibilities
Open accessAbstract
The microRNA (miRNA) "sponge" method was introduced three years ago as a means to create continuous miRNA loss of function in cell lines and transgenic organisms. Sponge RNAs contain complementary binding sites to a miRNA of interest, and are produced from transgenes within cells. As with most miRNA target genes, a sponge's binding sites are specific to the miRNA seed region, which allows them to block a whole family of related miRNAs. This transgenic approach has proven to be a useful tool to probe miRNA functions in a variety of experimental systems. Here we will discuss the ways sponge and related constructs can be optimized and review recent applications of this method with particular emphasis on stable expression in cancer studies and in transgenic animals.
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Using decoy or sponge-like constructs for miRNA inhibition has been shown to bind complementary miRNA(s) or their seed sequences and block their effects.
“Using decoy or sponge-like constructs for miRNA inhibition have been already shown before with good effect in binding to its complementary miRNA(s) or their seed sequences and blocking their effects (29–31, 56, 57).”
From Potential Therapeutic Effects of Exosomes Packed With a miR-21-Sponge Construct in a Rat Model of Glioblastoma (2019) · cites this paper as [56]
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Cites
Most mammalian mRNAs are conserved targets of microRNAs
Friedman, R. C., Farh, K. K.-H., Burge, C. B., & Bartel, D. P. (2009) · Genome Research · doi:10.1101/gr.082701.108 · Cited by 8,462 · see citing works
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949 · see citing works
Regulation of Synaptic Structure and Function by FMRP-Associated MicroRNAs miR-125b and miR-132
Edbauer, D., Neilson, J. R., Foster, K. A., Wang, C.-F., Seeburg, D. P., Batterton, M. N., Tada, T., Dolan, B. M., Sharp, P. A., & Sheng, M. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.005 · Cited by 735 · see citing works
Self-citationMicroRNA-21 targets Sprouty2 and promotes cellular outgrowths
Sayed, D., Rane, S., Lypowy, J., He, M., Chen, I.-Y., Vashistha, H., Yan, L., Malhotra, A., Vatner, D., & Abdellatif, M. (2008) · Molecular Biology of the Cell · doi:10.1091/mbc.e08-02-0159 · Cited by 355 · see citing works
Haraguchi, T., Ozaki, Y., & Iba, H. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp040 · Cited by 305 · see citing works
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Research works printed but not linked: 5
- Arvey A, Larsson E, Sander C, Leslie CS, Marks DS. 2010. Target mRNA abundance dilutes microRNA and siRNA activity. Mol Syst Biol 6: 363. doi: 10.1038/msb.2010. · DOI
- Gatt ME, Zhao JJ, Ebert MS, Chu Z, Mani M, Gazit R, Carrasco DE, Dutta-Simmons J, Adamia S, Minvielle SB, et al. 2010. Blood (in press).
- Hanlon K, Rudin CE, Harries LW. 2009. Investigating the targets of MIR- 15a and MIR-16-1 in patients with chronic lymphocytic leukemia (CLL). PLoS ONE 4: e7169. doi: 10.1371/journal.pone.0007169. · DOI
- Kimchi A. 1999. Functional approaches to gene isolation in mamma- lian cells. Science 285: 299. doi: 10.1126/science.285.5426.299a. · DOI
- Scherr M, Venturini L, Battmer K, Schaller-Schoenitz M, Schaefer D, Dallmann I, Ganser A, Eder M. 2007. Lentivirus-mediated antag- omir expression for specific inhibition of miRNA function. Nucleic Acids Res 35: e149. doi: 10.1093/nar/gkm971. · DOI
Cited by
Sorted by citations
APF lncRNA regulates autophagy and myocardial infarction by targeting miR-188-3p
Wang, K., Liu, C.-Y., Zhou, L.-Y., Wang, J.-X., Wang, M., Zhao, B., Zhao, W.-K., Xu, S.-J., Fan, L.-H., Zhang, X.-J., et al. (2015) · Nature Communications · doi:10.1038/ncomms7779 · Cited by 473 · see citing works
Lu, Y., Zhao, X., Liu, Q., Li, C., Graves-Deal, R., Cao, Z., Singh, B., Franklin, J. L., Wang, J., Hu, H., et al. (2017) · Nature Medicine · doi:10.1038/nm.4424 · Cited by 425 · see citing works
miRNAs regulate the HIF switch during hypoxia: a novel therapeutic target
Serocki, M., Bartoszewska, S., Janaszak-Jasiecka, A., Ochocka, R. J., Collawn, J. F., & Bartoszewski, R. (2018) · Angiogenesis · doi:10.1007/s10456-018-9600-2 · Cited by 288 · see citing works
Cui, X., Niu, W., Kong, L., He, M., Jiang, K., Chen, S., Zhong, A., Li, W., Lu, J., & Zhang, L. (2016) · Biomarkers in Medicine · doi:10.2217/bmm-2016-0130 · Cited by 150 · see citing works
Monfared, H., Jahangard, Y., Nikkhah, M., Mirnajafi-Zadeh, J., & Mowla, S. J. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.00782 · Cited by 123 · see citing works
The roles of microRNAs in mouse development
DeVeale, B., Swindlehurst-Chan, J., & Blelloch, R. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-020-00309-5 · Cited by 121 · see citing works
Momin, M. Y., Gaddam, R. R., Kravitz, M., Gupta, A., & Vikram, A. (2021) · Cells · doi:10.3390/cells10113097 · Cited by 107 · see citing works
miRNAs as potential therapeutic targets for age-related macular degeneration
Wang, S., Koster, K. M., He, Y., & Zhou, Q. (2012) · Future Medicinal Chemistry · doi:10.4155/fmc.11.176 · Cited by 67 · see citing works
<i>miR‐124</i> Contributes to the functional maturity of microglia
Svahn, A. J., Giacomotto, J., Graeber, M. B., Rinkwitz, S., & Becker, T. S. (2016) · Developmental Neurobiology · doi:10.1002/dneu.22328 · Cited by 42 · see citing works
MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer
Delvendahl, I., Daswani, R., Winterer, J., Germain, P., Uhr, N. M., Schratt, G., & Müller, M. (2025) · The Journal of Physiology · doi:10.1113/jp288019 · Cited by 3 · see citing works
- Authors
- Ebert, M. S., & Sharp, P. A.
- Affiliations
- Koch Institute for Integrative Cancer Research At MIT (US)
- Venue
- RNA
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2010-09-20
- Volume
- 16
- Issue
- 11
- Pages
- 2043-2050
- ISSN
- 1355-8382 (ISSN-L)
- 1469-9001
- PMC
- PMC2957044
- OpenAlex
- W2044601473
- Cited by
- 762
- References
- 5
- Citations by year
- 2026: 13 · 2025: 36 · 2024: 40 · 2023: 46 · 2022: 48 · 2021: 58 · 2020: 55 · 2019: 73 · 2018: 45 · 2017: 55 · 2016: 52 · 2015: 67 · 2014: 56 · 2013: 45 · 2012: 41
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- RNA (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- U.S. Public Health Service (P30-CA14051, R01CA133404)
- National Cancer Institute (R01CA133404, CA14051, P30CA014051, P30-CA-14051)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- microRNA sponge, miRNA seed region, transgenic animals, stable expression, cancer cell lines, microRNA function
- MeSH terms
- Animals, Gene Expression Regulation, Humans, Gene Transfer Techniques, Nucleic Acid Amplification Techniques, MicroRNAs
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