microRNA-34c is a novel target to treat dementias
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MiR-34a/c promotes apoptosis and impairs synaptic plasticity; their inhibition rescues memory in AD mouse models.
“MiR-34a/c also promotes apoptosis and impair synaptic plasticity; their inhibition rescues memory in AD mouse models (Banzhaf-Strathmann et al., 2014; Sarkar et al., 2016; Zovoilis et al., 2011).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Zovoilis et al., 2011
AD is consistently associated with white-matter abnormalities and demyelination, contributing to cognitive and structural decline.
“The disease is consistently associated with white-matter abnormalities and demyelination, contributing to cognitive and structural decline (Nasrabady et al., 2018; Zhou et al., 2022; Zovoilis et al., 2011).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Zovoilis et al., 2011
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Cites
Soluble protein oligomers in neurodegeneration: lessons from the Alzheimer's amyloid β-peptide
Haass, C., & Selkoe, D. J. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2101 · Cited by 4,744 · see citing works
A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing
Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., Aravin, A., Pfeffer, S., Rice, A., Kamphorst, A. O., Landthaler, M., et al. (2007) · Cell · doi:10.1016/j.cell.2007.04.040 · Cited by 3,626 · see citing works
Altered Histone Acetylation Is Associated with Age-Dependent Memory Impairment in Mice
Peleg, S., Sananbenesi, F., Zovoilis, A., Burkhardt, S., Bahari-Javan, S., Agis-Balboa, R. C., Cota, P., Wittnam, J. L., Gogol-Doering, A., Opitz, L., et al. (2010) · Science · doi:10.1126/science.1186088 · Cited by 951 · see citing works
Self-citationSIRT1 Is Essential for Normal Cognitive Function and Synaptic Plasticity
Michan, S., Li, Y., Chou, M. M.-H., Parrella, E., Ge, H., Long, J. M., Allard, J. S., Lewis, K., Miller, M., Xu, W., et al. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0027-10.2010 · Cited by 541 · see citing works
MicroRNA expression in the adult mouse central nervous system
Bak, M., Silahtaroglu, A., Møller, M., Christensen, M., Rath, M. F., Skryabin, B., Tommerup, N., & Kauppinen, S. (2008) · RNA · doi:10.1261/rna.783108 · Cited by 463 · see citing works
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Research works printed but not linked: 1
- Papadopoulos P, Alexiou M, Maragkakis M, Reczko AG, Hatzigeorgiou AG (2009) DIANA-mirPath: integrating human microRNA-34c is a novel target to treat dementias A Zovoilis et al & 2011 European Molecular Biology Organization The EMBO Journal VOL 30 | NO 20 | 2011 4307 and mouse microRNAs in pathways GL. Bioinformatics 25: 1991 1993
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Im, H.-I., & Kenny, P. J. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.01.004 · Cited by 399 · see citing works
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Lardenoije, R., Iatrou, A., Kenis, G., Kompotis, K., Steinbusch, H. W. M., Mastroeni, D., Coleman, P., Lemere, C. A., Hof, P. R., van den Hove, D. L. A., et al. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.05.002 · Cited by 381 · see citing works
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Lekka, E., & Hall, J. (2018) · FEBS Letters · doi:10.1002/1873-3468.13182 · Cited by 251 · see citing works
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Bocchio-Chiavetto, L., Maffioletti, E., Bettinsoli, P., Giovannini, C., Bignotti, S., Tardito, D., Corrada, D., Milanesi, L., & Gennarelli, M. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.06.013 · Cited by 238 · see citing works
Intact p53-Dependent Responses in miR-34–Deficient Mice
Concepcion, C. P., Han, Y.-C., Mu, P., Bonetti, C., Yao, E., D'Andrea, A., Vidigal, J. A., Maughan, W. P., Ogrodowski, P., & Ventura, A. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002797 · Cited by 197 · see citing works
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Antisense oligonucleotides: treating neurodegeneration at the level of RNA
DeVos, S. L., & Miller, T. M. (2013) · Neurotherapeutics · doi:10.1007/s13311-013-0194-5 · Cited by 164 · see citing works
Epigenetic memory: The Lamarckian brain
Fischer, A. (2014) · The EMBO Journal · doi:10.1002/embj.201387637 · Cited by 107 · see citing works
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MicroRNA-27a reduces mutant hutingtin aggregation in an in vitro model of Huntington's disease
Ban, J.-J., Chung, J.-Y., Lee, M., Im, W., & Kim, M. (2017) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2017.05.040 · Cited by 36 · see citing works
MicroRNAs change the games in central nervous system pharmacology
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Potential Roles of microRNAs in the Regulation of Monoamine Oxidase A in the Brain
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Alzheim(i)R: MicroRNAs in Alzheimer’s Disease
Barbato, C. (2014) · Journal of Cytology & Histology · doi:10.4172/2157-7099.1000e113 · Cited by 3 · see citing works
Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease
Donepudi, K., Eadha, S., Rodarte, D., Sharma, B., & Kumar, S. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103211
- Authors
- Zovoilis, A., Agbemenyah, H. Y., Agis‐Balboa, R. C., Stilling, R. M., Edbauer, D., Rao, P., Farinelli, L., Delalle, I., Schmitt, A., Falkai, P., Bahari‐Javan, S., Burkhardt, S., Sananbenesi, F., & Fischer, A.
- Venue
- The EMBO Journal
- Published
- 2011-09-23
- Volume
- 30
- Issue
- 20
- Pages
- 4299-4308
- ISSN
- 0261-4189
- 1460-2075
- Cited by
- 298
- References
- 5
- Language
- en
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