54 research outputs found

    Comparative analysis of CNS populations in knockout mice with altered growth hormone responsiveness

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    Recently we have shown that growth hormone (GH) inhibits neuronal differentiation and that this process is blocked by suppressor of cytokine signalling-2 (SOCS2). Here we examine several cortical and subcortical neuronal populations in GH hyper-responsive SOCS2 null (-/-) mice and GH non-responsive GH receptor null (GHR-/-) mice. While SOCS2-/- mice showed a 30% decrease in density of NeuN positive neurons in cortex compared to wildtype, GHR-/- mice showed a 25% increase even though brain size was decreased. Interneuron sub-populations were variably affected, with a slight decrease in cortical parvalbumin expressing interneurons in SOCS2-/- mice and an increase in cortical calbindin and calretinin and striatal cholinergic neuron density in GHR-/- mice. Analysis of glial cell numbers in cresyl violet or glial fibrillary acidic protein (GFAP) stained sections of cortex showed that the neuron: glia ratio was increased in GHR-/- mice and decreased in SOCS2-/- mice. The astrocytes in GHR-/- mice appeared smaller, while they were larger in SOCS2-/- mice. Neuronal soma size also varied in the different genotypes, with smaller striatal cholinergic neurons in GHR-/- mice. While the size of layer 5 pyramidal neurons was not significantly different from wildtype, SOCS2-/- neurons were larger than GHR-/- neurons. In addition, primary dendritic length was similar in all genotypes but dendritic branching of pyramidal neurons in the cortex appeared sparser in GHR-/- and SOCS2-/- mice. These results suggest that GH, possibly regulated by SOCS2, has multiple effects on central nervous system (CNS) development and maturation, regulating the number and size of multiple neuronal and glial cell types

    Update of the FANTOM web resource: high resolution transcriptome of diverse cell types in mammals

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    Upon the first publication of the fifth iteration of the Functional Annotation of Mammalian Genomes collaborative project, FANTOM5, we gathered a series of primary data and database systems into the FANTOM web resource (http://fantom.gsc.riken.jp) to facilitate researchers to explore transcriptional regulation and cellular states. In the course of the collaboration, primary data and analysis results have been expanded, and functionalities of the database systems enhanced. We believe that our data and web systems are invaluable resources, and we think the scientific community will benefit for this recent update to deepen their understanding of mammalian cellular organization. We introduce the contents of FANTOM5 here, report recent updates in the web resource and provide future perspectives
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