Evidence map›Paper›PMID 29456557›Full record

ArticleCellular & molecular biology letters2018

The altered expression of perineuronal net elements during neural differentiation.

Nazli F Eskici, Sevim Erdem-Ozdamar, Didem Dayangac-Erden

Abstract read
In one paragraph

Article in Cellular & molecular biology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Age-Dependent Sex Differences in Perineuronal Nets in anInternational journal of molecular sciences · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nazli F Eskici1Faculty of Medicine Department of Medical Biology, Hacettepe University, Ankara, Turkey.
Sevim Erdem-Ozdamar2Faculty of Medicine Department of Neurology, Hacettepe University, Ankara, Turkey.
Didem Dayangac-Erden1Faculty of Medicine Department of Medical Biology, Hacettepe University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerineuronal nets (PNNs), which are localized around neurons during development, are specialized forms of neural extracellular matrix with neuroprotective and plasticity-regulating roles. Hyaluronan and proteoglycan link protein 1 (HAPLN1), tenascin-R (TNR) and aggrecan (ACAN) are key elements of PNNs. In diseases characterized by neuritogenesis defects, the expression of these proteins is known to be downregulated, suggesting that PNNs may have a role in neural differentiation.

methodsIn this study, the mRNA and protein levels of HAPLN1, TNR and ACAN were determined and compared at specific time points of neural differentiation. We used PC12 cells as the in vitro model because they reflect this developmental process.

resultsOn day 7, the HAPLN1 mRNA level showed a 2.9-fold increase compared to the non-differentiated state. However, the cellular HAPLN1 protein level showed a decrease, indicating that the protein may have roles in neural differentiation, and may be secreted during the early period of differentiation. By contrast, TNR mRNA and protein levels remained unchanged, and the amount of cellular ACAN protein showed a 3.7-fold increase at day 7. These results suggest that ACAN may be secreted after day 7, possibly due to its large amount of post-translational modifications.

conclusionsOur results provide preliminary data on the expression of PNN elements during neural differentiation. Further investigations will be performed on the role of these elements in neurological disease models.

Indexed as

NeurogenesisAggrecansAnimalsExtracellular Matrix ProteinsNeuronsPC12 CellsProteoglycan Link ProteinProteoglycansRatsTenascinAggrecansExtracellular Matrix ProteinsProteoglycan Link ProteinProteoglycansTenascintenascin RAggrecanHAPLN1PC12 differentiationPerineuronal netsTenascin-R

Identifiers

PMID29456557
PMCPMC5812217

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.