The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
MicroRNA-192 in diabetic kidney glomeruli and its function in TGF-β-induced collagen expression via inhibition of E-box repressors
Open accessAbstract
Key features of diabetic nephropathy (DN) include the accumulation of extracellular matrix proteins such as collagen 1-α 1 and -2 (Col1a1 and -2). Transforming growth factor β1 (TGF-β), a key regulator of these extracellular matrix genes, is increased in mesangial cells (MC) in DN. By microarray profiling, we noted that TGF-β increased Col1a2 mRNA in mouse MC (MMC) but also decreased mRNA levels of an E-box repressor, δEF1. TGF-β treatment or short hairpin RNAs targeting δEF1 increased enhancer activity of upstream E-box elements in the Col1a2 gene. TGF-β also decreased the expression of Smad-interacting protein 1 (SIP1), another E-box repressor similar to δEF1. Interestingly, we noted that SIP1 is a target of microRNA-192 (miR-192), a key miR highly expressed in the kidney. miR-192 levels also were increased by TGF-β in MMC. TGF-β treatment or transfection with miR-192 decreased endogenous SIP1 expression as well as reporter activity of a SIP1 3′ UTR-containing luciferase construct in MMC. Conversely, a miR-192 inhibitor enhanced the luciferase activity, confirming SIP1 to be a miR-192 target. Furthermore, miR-192 synergized with δEF1 short hairpin RNAs to increase Col1a2 E-box-luc activity. Importantly, the in vivo relevance was noted by the observation that miR-192 levels were enhanced significantly in glomeruli isolated from streptozotocin-injected diabetic mice as well as diabetic db/db mice relative to corresponding nondiabetic controls, in parallel with increased TGF-β and Col1a2 levels. These results uncover a role for miRs in the kidney and DN in controlling TGF-β-induced Col1a2 expression by down-regulating E-box repressors.
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Cites
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
MicroRNAs: small RNAs with a big role in gene regulation
He, L., & Hannon, G. J. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1379 · Cited by 7,118
Oncomirs—MicroRNAs with a role in cancer
Esquela-Kerscher, A., & Slack, F. J. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1840 · Cited by 5,884
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
Non-coding RNAs and cancer: microRNAs and beyond
Raia, R. M., & Calin, G. A. (2011) · Journal of Nucleic Acids Investigation · doi:10.4081/jnai.2011.e5 · Cited by 3,382
MicroRNA-Directed Cleavage of HOXB8 mRNA
Yekta, S., Shih, I.-H., & Bartel, D. P. (2004) · Science · doi:10.1126/science.1097434 · Cited by 1,702
Regulation by let-7 and lin-4 miRNAs Results in Target mRNA Degradation
Bagga, S., Bracht, J., Hunter, S., Massirer, K., Holtz, J., Eachus, R., & Pasquinelli, A. E. (2005) · Cell · doi:10.1016/j.cell.2005.07.031 · Cited by 1,346
MicroRNAs direct rapid deadenylation of mRNA
Wu, L., Fan, J., & Belasco, J. G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510928103 · Cited by 1,138
Gao, X., Wu, G., Gu, X., Fu, L., & Mei, C. (2013) · Kidney and Blood Pressure Research · doi:10.1159/000355743 · Cited by 1,035
Eger, A., Aigner, K., Sonderegger, S., Dampier, B., Oehler, S., Schreiber, M., Berx, G., Cano, A., Beug, H., & Foisner, R. (2005) · Oncogene · doi:10.1038/sj.onc.1208429 · Cited by 808
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Meng, X.-M., Nikolic-Paterson, D. J., & Lan, H. Y. (2016) · Nature Reviews Nephrology · doi:10.1038/nrneph.2016.48 · Cited by 3,528
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Kato, M., Putta, S., Wang, M., Yuan, H., Lanting, L., Nair, I., Gunn, A., Nakagawa, Y., Shimano, H., Todorov, I., et al. (2009) · Nature Cell Biology · doi:10.1038/ncb1897 · Cited by 573
Self-citationPirola, C. J., Fernández Gianotti, T., Castaño, G. O., Mallardi, P., San Martino, J., Mora Gonzalez Lopez Ledesma, M., Flichman, D., Mirshahi, F., Sanyal, A. J., & Sookoian, S. (2015) · Gut · doi:10.1136/gutjnl-2014-306996 · Cited by 564
Interplay between miRNAs and human diseases
Paul, P., Chakraborty, A., Sarkar, D., Langthasa, M., Rahman, M., Bari, M., Singha, R. S., Malakar, A. K., & Chakraborty, S. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.25854 · Cited by 420
Smad3-Mediated Upregulation of miR-21 Promotes Renal Fibrosis
Zhong, X., Chung, A. C. K., Chen, H.-Y., Meng, X.-M., & Lan, H. Y. (2011) · Journal of the American Society of Nephrology · doi:10.1681/asn.2010111168 · Cited by 409
Metadata
- Authors
- Kato, M., Zhang, J., Wang, M., Lanting, L., Yuan, H., Rossi, J. J., & Natarajan, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-02-27
- Volume
- 104
- Issue
- 9
- Pages
- 3432-3437
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2076100820
- Cited by
- 699
- References
- 33
- FWCI
- 21.40
- Type
- journal article
- Language
- en
- Open access
- green
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- Kato, M., Zhang, J., Wang, M., Lanting, L., Yuan, H., Rossi, J. J., & Natarajan, R. (2007). MicroRNA-192 in diabetic kidney glomeruli and its function in TGF-β-induced collagen expression via inhibition of E-box repressors. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0611192104
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