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      Significant glial alterations in response to iron loading in a novel organotypic hippocampal slice culture model

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          Abstract

          Aberrant iron deposition in the brain is associated with neurodegenerative disorders including Multiple Sclerosis, Alzheimer’s disease and Parkinson’s disease. To study the collective response to iron loading, we have used hippocampal organotypic slices as a platform to develop a novel ex vivo model of iron accumulation. We demonstrated differential uptake and toxicity of iron after 12 h exposure to 10 μM ferrous ammonium sulphate, ferric citrate or ferrocene. Having established the supremacy of ferrocene in this model, the cultures were then loaded with 0.1–100 μM ferrocene for 12 h. One μM ferrocene exposure produced the maximal 1.6-fold increase in iron compared with vehicle. This was accompanied by a 1.4-fold increase in ferritin transcripts and mild toxicity. Using dual-immunohistochemistry, we detected ferritin in oligodendrocytes, microglia, but rarely in astrocytes and never in neurons in iron-loaded slice cultures. Moreover, iron loading led to a 15% loss of olig2-positive cells and a 16% increase in number and greater activation of microglia compared with vehicle. However, there was no appreciable effect of iron loading on astrocytes. In what we believe is a significant advance on traditional mono- or dual-cultures, our novel ex vivo slice-culture model allows characterization of the collective response of brain cells to iron-loading.

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          Survey over image thresholding techniques and quantitative performance evaluation

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            Colorimetric ferrozine-based assay for the quantitation of iron in cultured cells.

            The ferrozine-based colorimetric assay described here permits the quantitation of iron in cultured cells in amounts ranging between 0.2 and 30 nmol. Ferrous and ferric iron were detected equally well by the assay and the accuracy was unaffected by other divalent metal cations. This colorimetric assay was used to study iron accumulation in brain astrocytes that had been cultured in 24-well dishes. Iron complexed to cellular proteins was made accessible to ferrozine by treatment of cell lysates with acidic KMnO(4) solution. The basal amounts of iron in untreated astrocyte cultures were approximately 10 nmol iron per mg protein. Incubation of the cells with ferric ammonium citrate caused the total cellular iron content to increase in a concentration-dependent manner. The estimates of cellular iron content that were obtained with the ferrozine-based assay did not differ from those determined by atomic absorption spectroscopy. The colorimetric assay described here provides a sensitive, cheap, and reliable method for the quantitation of intracellular iron and for the investigation of iron accumulation in cultured cells.
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              Design-based stereology in neuroscience.

              Quantitative morphology of the CNS has recently undergone major developments. In particular, several new approaches, known as design-based stereologic methods, have become available and have been successfully applied to neuromorphological research. However, much confusion and uncertainty remains about the meaning, implications, and advantages of these design-based stereologic methods. The objective of this review is to provide some clarification. It does not comprise a full description of all stereologic methods available. Rather, it is written by users for users, provides the reader with a guided tour through the relevant literature. It has been the experience of the authors that most neuroscientists potentially interested in design-based stereology need to analyze volumes of brain regions, numbers of cells (neurons, glial cells) within these brain regions, mean volumes (nuclear, perikaryal) of these cells, length densities of linear biological structures such as vessels and nerve fibers within brain regions, and the cytoarchitecture of brain regions (i.e. the spatial distribution of cells within a region of interest). Therefore, a comprehensive introduction to design-based stereologic methods for estimating these parameters is provided. It is demonstrated that results obtained with design-based stereology are representative for the entire brain region of interest, and are independent of the size, shape, spatial orientation, and spatial distribution of the cells to be investigated. Also, it is shown that bias (i.e. systematic error) in results obtained with design-based stereology can be limited to a minimum, and that it is possible to assess the variability of these results. These characteristics establish the advantages of design-based stereologic methods in quantitative neuromorphology.
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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                03 November 2016
                2016
                : 6
                : 36410
                Affiliations
                [1 ]Galway Neuroscience Centre, School of Natural Sciences, National University of Ireland , Galway, Ireland
                [2 ]Centre for Microscopy and Imaging, National University of Ireland , Galway, Ireland
                Author notes
                Article
                srep36410
                10.1038/srep36410
                5093415
                27808258
                8cd14436-9baf-453b-a9d1-d63b8855c625
                Copyright © 2016, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 28 June 2016
                : 14 October 2016
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