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MicroRNAs in neural development: from master regulators to fine-tuners

Rajman, Marek, Schratt, Gerhard·2017·Development
DOI 10.1242/dev.144337
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Abstract

The proper formation and function of neuronal networks is required for cognition and behavior. Indeed, pathophysiological states that disrupt neuronal networks can lead to neurodevelopmental disorders such as autism, schizophrenia or intellectual disability. It is well-established that transcriptional programs play major roles in neural circuit development. However, in recent years, post-transcriptional control of gene expression has emerged as an additional, and probably equally important, regulatory layer. In particular, it has been shown that microRNAs (miRNAs), an abundant class of small regulatory RNAs, can regulate neuronal circuit development, maturation and function by controlling, for example, local mRNA translation. It is also becoming clear that miRNAs are frequently dysregulated in neurodevelopmental disorders, suggesting a role for miRNAs in the etiology and/or maintenance of neurological disease states. Here, we provide an overview of the most prominent regulatory miRNAs that control neural development, highlighting how they act as ‘master regulators’ or ‘fine-tuners’ of gene expression, depending on context, to influence processes such as cell fate determination, cell migration, neuronal polarization and synapse formation.

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Metadata

Authors
Rajman, M., & Schratt, G.
Affiliations
Biochemisch-Pharmakologisches Centrum, Institut für Physiologische Chemie, Philipps-Universität Marburg, Marburg 35043, Germany
ORCID
Schratt, Gerhard
Venue
Development
Publisher
The Company of Biologists
Published
2017-07-01
Volume
144
Issue
13
Pages
2310-2322
ISSN
  • 1477-9129
  • 0950-1991
DOI
10.1242/dev.144337
Cited by
269
References
21
Language
en
Licence
www.biologists.com/user-licence-1-1 (vor, 184 d)
Funders
  • Deutsche Forschungsgemeinschaft (SCHR 1136/4-1, SCHR 1136/3-1, SCHR 1136/8-1)
  • Seventh Framework Programme

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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