Cited by 255MicroRNA in disease regulationNeurogenesis and neuroplasticity mechanismsDevelopmental Biology and Gene Regulation

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index; 22 of the 43 sources its claims cite were checked for support.

Comprehensive Expression Analyses of Neural Cell-Type-Specific miRNAs Identify New Determinants of the Specification and Maintenance of Neuronal Phenotypes

Open access
Jovičić, Ana, Roshan, Reema, Moisoi, Nicoleta, Pradervand, Sylvain, Moser, Roger, Pillai, Beena, Luthi-Carter, Ruth·2013·The Journal of Neuroscience

Abstract

MicroRNAs (miRNAs) have been shown to play important roles in both brain development and the regulation of adult neural cell functions. However, a systematic analysis of brain miRNA functions has been hindered by a lack of comprehensive information regarding the distribution of miRNAs in neuronal versus glial cells. To address this issue, we performed microarray analyses of miRNA expression in the four principal cell types of the CNS (neurons, astrocytes, oligodendrocytes, and microglia) using primary cultures from postnatal d 1 rat cortex. These analyses revealed that neural miRNA expression is highly cell-type specific, with 116 of the 351 miRNAs examined being differentially expressed fivefold or more across the four cell types. We also demonstrate that individual neuron-enriched or neuron-diminished RNAs had a significant impact on the specification of neuronal phenotype: overexpression of the neuron-enriched miRNAs miR-376a and miR-434 increased the differentiation of neural stem cells into neurons, whereas the opposite effect was observed for the glia-enriched miRNAs miR-223, miR-146a, miR-19, and miR-32. In addition, glia-enriched miRNAs were shown to inhibit aberrant glial expression of neuronal proteins and phenotypes, as exemplified by miR-146a, which inhibited neuroligin 1-dependent synaptogenesis. This study identifies new nervous system functions of specific miRNAs, reveals the global extent to which the brain may use differential miRNA expression to regulate neural cell-type-specific phenotypes, and provides an important data resource that defines the compartmentalization of brain miRNAs across different cell types.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This study profiled miRNAs across the four principal CNS cell types and found highly cell-type-specific expression, with 116 of 351 examined miRNAs differing at least fivefold. Functional tests showed neuron-enriched miRNAs promote neuronal differentiation while glia-enriched miRNAs inhibit it and can suppress inappropriate neuronal gene expression in glia.

Key findings

  • Microarray analysis of neurons, astrocytes, oligodendrocytes, and microglia from postnatal day 1 rat cortex found 116 of 351 miRNAs differentially expressed at least fivefold across the four cell types.
  • Restricting to neurons, astrocytes, and oligodendrocytes, the study identified 53 neuron-enriched and 23 neuron-diminished miRNAs, 13 astrocyte-enriched and 9 astrocyte-diminished miRNAs, and 13 oligodendrocyte-enriched and 4 oligodendrocyte-diminished miRNAs.
  • Overexpression of neuron-enriched miR-376a and miR-434 increased neural stem cell differentiation into neurons, whereas glia-enriched miR-223, miR-146a, miR-19, and miR-32 decreased neuronal differentiation.
  • Glia-enriched miR-146a targeted neuron-specific genes including Nlgn1, Nova1, and Syt1; miR-146a inhibited neuroligin 1-dependent synaptogenesis, suggesting glial miRNAs prevent inappropriate neuronal protein expression and phenotypes.

Methods

  • Primary cultures from postnatal day 1 rat cortex were used for neurons, astrocytes, oligodendrocytes, and microglia; miRNA expression was profiled on Agilent rat miRNA microarrays with three biological replicates for neurons, oligodendrocytes, and microglia and four for astrocytes.
  • Differential expression was analyzed with limma using an F test across pairwise cell-type contrasts, with FDR <1%, at least fivefold change versus the average of other groups, at least twofold change versus each other group individually, and presence filters.
  • Functional validation used lentiviral miRNA overexpression in rat cortical stem cells, LNA antagomirs in PC12 and C6 cells, 3′-UTR luciferase reporter assays, immunolabeling, immunoblotting, FACS of Thy1-EGFP and Gfap-EGFP mouse brain cells, and a neuroligin 1-dependent synapse formation assay.

Limitations

  • The paper states that cell cultures derived from neonatal brain may still be developing and therefore may not represent mature in vivo phenotypes; it addressed this by validating selected miRNAs in acutely isolated mouse brain cells.
  • The paper states that high miRNA overexpression sometimes decreased stem cell numbers, so vector concentration was reduced and data from treatments decreasing cell numbers to <35% of noninfected control were excluded.
  • Evident from the text: the microarray covered 351 miRNAs, in vivo validation was limited to selected miRNAs, and for Syt1 the predicted miR-146a binding-site mutation did not abolish regulation, leaving direct versus indirect targeting unresolved.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1523/jneurosci.0600-12.2013

Cites

53 of 53 references verified0 citation errors · 0 not checkable

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Verification

Claims the paper makes

41 Own result · 14 Own interpretation · 12 Partly supported · 6 Own method · 5 No full text of the sources · 4 Supported so far · 3 No basis given · 2 Couldn’t confirm · 2 Sources not found · 1 Supported · 1 Not checked yet · accuracy not yet measured

Show all 57 claims

  • It may state two separate claims as one. 20
  • Probably not a substantial claim. 20
  • The quote only partly states this claim. 1
34 of 34
  • The paper relies on this without support.

    miRNAs bind to mRNAs by sequence complementarity and direct their degradation or translational repression.

    “miRNAs bind to messenger RNAs (mRNAs) based on sequence complementarity and direct the degradation or repression of translation of the mRNAs to which they are bound (known as their targets).”
  • The paper relies on this without support.

    The heterogeneous phenotypes of neural cells must be established during cell specification and maintained throughout the life of the adult organism.

    “The heterogeneous phenotypes of the various neural cells must be established during cell specification and be maintained throughout the life of the adult organism.”
  • The paper relies on this without support.

    A genome-wide investigation of miRNA expression in neurons, astrocytes, oligodendrocytes, and microglia had not been available previously.

    “However, a genome-wide investigation of miRNA expression in neurons, astrocytes, oligodendrocytes, and microglia had not been available previously.”
  • The paper relies on this without support.

    Sequence-based target prediction alone is subject to false-positive identification.

    “Because sequence-based target prediction alone is subject to false-positive identification”
4 of 4

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Metadata

Authors
Jovičić, A., Roshan, R., Moisoi, N., Pradervand, S., Moser, R., Pillai, B., & Luthi-Carter, R.
Affiliations
  • École Polytechnique Fédérale de Lausanne (CH)
  • Institute of Genomics and Integrative Biology (IN)
  • University of Leicester (GB)
  • University of Lausanne (CH)
Venue
The Journal of Neuroscience
Published
2013-03-20
Volume
33
Issue
12
Pages
5127-5137
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2020613231
Cited by
251
References
53
Citations by year
2026: 4 · 2025: 11 · 2024: 13 · 2023: 18 · 2022: 13 · 2021: 29 · 2020: 24 · 2019: 24 · 2018: 20 · 2017: 23 · 2016: 22 · 2015: 20 · 2014: 18 · 2013: 12
FWCI
8.43
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • SERVAL (Université de Lausanne) (publishedVersion, other-oa)
  • IRIS (submittedVersion)
Funders
Council of Scientific and Industrial Research, India (BSC 0123)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
Keywords
microRNA, miR-146a, miR-376a, miR-223, neural stem cell differentiation, astrocytes, oligodendrocytes, microglia, neuroligin-1, synaptogenesis, glial reprogramming
MeSH terms
Animals, Animals, Newborn, Astrocytes, Cell Differentiation, Cerebral Cortex, Female, Male, Neuroglia, Neurons, Oligodendroglia, Phenotype, Synapses, Microglia, MicroRNAs, Rats, Neural Stem Cells, Transcriptome, Primary Cell Culture

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