Cited by 452MicroRNA in disease regulationNeuroinflammation and Neurodegeneration MechanismsGenetics and Neurodevelopmental Disorders

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Alterations of the microRNA network cause neurodegenerative disease

Hébert, Sébastien S., De Strooper, Bart·2009·Trends in Neurosciences

DOI 10.1016/j.tins.2008.12.003

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Abstract

Brain development crucially depends on the integrity of microRNA (miRNA) pathways, which function at the post-transcriptional level as a rheostat of the transcriptome and proteome of the cell. miRNAs are also involved in many other, more specific, aspects of neuronal function such as neurite outgrowth and synapse formation. Complete loss of miRNA expression in the brain leads to neurodegeneration in several animal models. Evidence from patient material is emerging that miRNA dysregulation could, indeed, contribute to neurodegenerative disorders. The translation of proteins previously implicated in familial forms of disease seems to be under control of miRNAs, and changes in miRNAs might explain how these proteins become affected in sporadic neurodegenerative disease. Thus, miRNAs are moving rapidly center stage as key regulators of neuronal development and function in addition to important contributors to neurodegenerative disorder.

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Kuhn, D. E., Nuovo, G. J., Martin, M. M., Malana, G. E., Pleister, A. P., Jiang, J., Schmittgen, T. D., Terry, A. V., Gardiner, K., Head, E., et al. (2008) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2008.03.120 · Cited by 153
Retracted
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Identification of Novel Genes Coding for Small Expressed RNAs
Lagos-Quintana, M., Rauhut, R., Lendeckel, W., & Tuschl, T. (2001) · Science · doi:10.1126/science.1064921 · Cited by 4,956
MicroRNA genes are transcribed by RNA polymerase II
Lee, Y., Kim, M., Han, J., Yeom, K.-H., Lee, S., Baek, S. H., & Kim, V. N. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600385 · Cited by 4,556
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Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
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Singleton, A. B., Farrer, M., Johnson, J., Singleton, A., Hague, S., Kachergus, J., Hulihan, M., Peuralinna, T., Dutra, A., Nussbaum, R., et al. (2003) · Science · doi:10.1126/science.1090278 · Cited by 4,383
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
Human MicroRNA Targets
John, B., Enright, A. J., Aravin, A., Tuschl, T., Sander, C., & Marks, D. S. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020363 · Cited by 3,796
RAS Is Regulated by the let-7 MicroRNA Family
Johnson, S., Großhans, H., Shingara, J., Byrom, M., JARVIS, R., Cheng, A., Labourier, E., Reinert, K. L., Brown, D., & Slack, F. J. (2005) · Cell · doi:10.1016/j.cell.2005.01.014 · Cited by 3,699
The Microprocessor complex mediates the genesis of microRNAs
Gregory, R. I., Yan, K.-P., Amuthan, G., Chendrimada, T. P., Doratotaj, B., Cooch, N. S., & Shiekhattar, R. (2004) · Nature · doi:10.1038/nature03120 · Cited by 2,851

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Authors: Hébert, S. S., & De Strooper, B.
Affiliations: Vlaams Instituut voor Biotechnologie (BE)
ORCID: Hébert, Sébastien S.
Venue: Trends in Neurosciences
Publisher: Elsevier BV
Published: 2009-04
Volume: 32
Issue: 4
Pages: 199-206
ISSN: 0166-2236 (ISSN-L)
DOI: 10.1016/j.tins.2008.12.003
OpenAlex: W2041945875
Cited by: 452
References: 94
Citations by year: 2026: 11 · 2025: 9 · 2024: 10 · 2023: 16 · 2022: 18 · 2021: 17 · 2020: 26 · 2019: 26 · 2018: 26 · 2017: 19 · 2016: 37 · 2015: 38 · 2014: 26 · 2013: 39 · 2012: 33
FWCI: 2.82
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Trends in Neurosciences (publishedVersion)
PubMed (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Lirias (submittedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
Keywords: microRNA, neurodegenerative diseases, microRNA dysregulation, post-transcriptional regulation, neuronal development, neurite outgrowth, synaptogenesis, familial neurodegenerative disease
MeSH terms: Animals, Humans, Models, Biological, Neurodegenerative Diseases, MicroRNAs, Gene Regulatory Networks

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Alterations of the microRNA network cause neurodegenerative disease

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