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Histone deacetylase 3 is necessary for proper brain development.

The Journal of biological chemistry | 2014

The functional role of histone deacetylase 3 (HDAC3) in the developing brain has yet to be elucidated. We show that mice lacking HDAC3 in neurons and glia of the central nervous system, Nes-Cre/HDAC3 conditional KO mice, show major abnormalities in the cytoarchitecture of the neocortex and cerebellum and die within 24 h of birth. Later-born neurons do not localize properly in the cortex. A similar mislocalization is observed with cerebellar Purkinje neurons. Although the proportion of astrocytes is higher than normal, the numbers of oligodendrocytes are reduced. In contrast, conditional knockout of HDAC3 in neurons of the forebrain and certain other brain regions, using Thy1-Cre and calcium/calmodulin dependent protein kinase II α-Cre for ablation, produces no overt abnormalities in the organization of cells within the cortex or of cerebellar Purkinje neurons at birth. However, both lines of conditional knockout mice suffer from progressive hind limb paralysis and ataxia and die around 6 weeks after birth. The mice display an increase in overall numbers of cells, higher numbers of astrocytes, and Purkinje neuron degeneration. Taken together, our results demonstrate that HDAC3 plays an essential role in regulating brain development, with effects on both neurons and glia in different brain regions.

Pubmed ID: 25339172 RIS Download

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Associated grants

  • Agency: NINDS NIH HHS, United States
    Id: R01 NS040408
  • Agency: NINDS NIH HHS, United States
    Id: R21 NS058462
  • Agency: NINDS NIH HHS, United States
    Id: NS40408
  • Agency: NINDS NIH HHS, United States
    Id: NS058462

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_005012

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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