The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The Tumor Suppressors p53, p63, and p73 Are Regulators of MicroRNA Processing Complex
Open accessAbstract
The tumor suppressors p53, p73, and p63 are known to function as transcription factors. They promote either growth arrest or apoptosis, depending upon the DNA damage. A number of microRNAs (miRNAs) have been shown to function as transcriptional targets of p53 and they appear to aid p53 in promoting growth arrest and apoptosis. However, the question of p53/p63/p73 regulating the miRNA processing complex has not been addressed in depth so far. Comparative/computational genomic analysis was performed using Target scan, Mami, and Diana software to identify miRNAs that regulate the miRNA processing complex. Here, I present evidence for the first time that the tumor suppressors p53, p63, and p73 function as both positive and negative regulators of the miRNA processing components. Curated p53-dependent miRNA expression data was used to identify p53-miRs that target the components of the miRNA-processing complex. This analysis suggests that most of the components (mRNAs' 3'UTR) of the miRNA processing complex are targeted by p53-miRs. Remarkably, this data revealed the conserved nature of p53-miRs in targeting a number of components of the miRNA processing complex. p53/p73/p63 appears to regulate the major components of the miRNA processing, such as Drosha-DGCR8, Dicer-TRBP2, and Argonaute proteins. In particular, p53/p73/p63 appears to regulate the processing of miRNAs, such as let-7, miR-200c, miR-143, miR-107, miR-16, miR-145, miR-134, miR-449a, miR-503, and miR-21. Interestingly, there seems to be a phenotypic similarity between p63(-/-) and dicer(-/-) mice, suggesting that p63 and dicer could regulate each other. In addition, p63, p73, and the DGCR8 proteins contain a conserved interaction domain. Further, promoters of a number of components of the miRNA processing machinery, including dicer and P2P-R, contain p53-REs, suggesting that they could be direct transcriptional targets of p63/p73/p53. Together, this study provides mechanistic insights into how p53, p63, and p73 regulate the components of the miRNA processing; and how p53, TA-p63, and TA-p73 regulated miRNAs inhibit tumorigenesis, EMT, metastasis, and cancer stem cell proliferation.
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Cites
Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis
Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010
p63 Is Essential for the Proliferative Potential of Stem Cells in Stratified Epithelia
Senoo, M., Pinto, F., Crum, C. P., & McKeon, F. (2007) · Cell · doi:10.1016/j.cell.2007.02.045 · Cited by 881 · cited 1×
“Interestingly, a number of reports strongly suggest that p63 plays a major role in stem cell maintenance, skin development, thymic proliferation, and cardiac morphogenesis [8,10,11,12,13,14,15].”
BackgroundA skin microRNA promotes differentiation by repressing ‘stemness’
Yi, R., Poy, M. N., Stoffel, M., & Fuchs, E. (2008) · Nature · doi:10.1038/nature06642 · Cited by 790
DICER1 Mutations in Familial Pleuropulmonary Blastoma
Hill, D. A., Ivanovich, J., Priest, J. R., Gurnett, C. A., Dehner, L. P., Desruisseau, D., Jarzembowski, J. A., Wikenheiser-Brokamp, K. A., Suarez, B. K., Whelan, A. J., et al. (2009) · Science · doi:10.1126/science.1174334 · Cited by 751
MicroRNA-21 Targets a Network of Key Tumor-Suppressive Pathways in Glioblastoma Cells
Papagiannakopoulos, T., Shapiro, A., & Kosik, K. S. (2008) · Cancer Research · doi:10.1158/0008-5472.can-08-1305 · Cited by 705 · cited 2×
“Interestingly, miR-21 has been shown to suppress the expression of TA-p63/p53 [5], indicating a feedback loop between DNp63/ p53/TA-p63/p73 and miR-21[Figure 1].”
BackgroundThe multifunctional RNA-binding protein hnRNP A1 is required for processing of miR-18a
Guil, S., & Cáceres, J. F. (2007) · Nature Structural & Molecular Biology · doi:10.1038/nsmb1250 · Cited by 567
Lin28 recruits the TUTase Zcchc11 to inhibit let-7 maturation in mouse embryonic stem cells
Hagan, J. P., Piskounova, E., & Gregory, R. I. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1676 · Cited by 491
Andl, T., Murchison, E. P., Liu, F., Zhang, Y., Yunta-Gonzalez, M., Tobias, J. W., Andl, C. D., Seykora, J. T., Hannon, G. J., & Millar, S. E. (2006) · Current Biology · doi:10.1016/j.cub.2006.04.005 · Cited by 359
Loss of Mdm4 Results in p53 -Dependent Dilated Cardiomyopathy
Xiong, S., Van Pelt, C. S., Elizondo-Fraire, A. C., Fernandez-Garcia, B., & Lozano, G. (2007) · Circulation · doi:10.1161/circulationaha.107.689901 · Cited by 71
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EMT as the ultimate survival mechanism of cancer cells
Tiwari, N., Gheldof, A., Tatari, M., & Christofori, G. (2012) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2012.02.013 · Cited by 512
p53 and its mutants in tumor cell migration and invasion
Muller, P. A. J., Vousden, K. H., & Norman, J. C. (2011) · Journal of Cell Biology · doi:10.1083/jcb.201009059 · Cited by 463
miR-15 Family Regulates Postnatal Mitotic Arrest of Cardiomyocytes
Porrello, E. R., Johnson, B. A., Aurora, A. B., Simpson, E., Nam, Y.-J., Matkovich, S. J., Dorn, G. W., van Rooij, E., & Olson, E. N. (2011) · Circulation Research · doi:10.1161/circresaha.111.248880 · Cited by 444
The Dual Role of TGFβ in Human Cancer: From Tumor Suppression to Cancer Metastasis
Neel, J.-C., Humbert, L., & Lebrun, J.-J. (2012) · ISRN Molecular Biology · doi:10.5402/2012/381428 · Cited by 345
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Harden, M. E., Prasad, N., Griffiths, A., & Munger, K. (2017) · mBio · doi:10.1128/mbio.02170-16 · Cited by 64
Metadata
- Authors
- Boominathan, L.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-05-12
- Volume
- 5
- Issue
- 5
- Pages
- e10615
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2133409869
- Cited by
- 178
- References
- 9
- FWCI
- 6.77
- Type
- journal article
- Language
- en
- Open access
- gold
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