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Glutaminyl cyclase-mediated toxicity of pyroglutamate-beta amyloid induces striatal neurodegeneration

Andreas Becker12, Stephanie Kohlmann2, Anca Alexandru2, Wolfgang Jagla2, Fabio Canneva1, Christoph Bäuscher2, Holger Cynis3, Reinhard Sedlmeier2, Sigrid Graubner2, Stephan Schilling3, Hans-Ulrich Demuth23* and Stephan von Hörsten1*

Author Affiliations

1 Department of Experimental Therapy, Friedrich-Alexander-University Erlangen-Nürnberg, Palmsanlage 5, 91054 Erlangen, Germany

2 Ingenium Pharmaceuticals GmbH, 82152 Martinsried, Germany

3 Probiodrug AG, Biocenter, Weinbergweg 22, 06120 Halle (Saale), Germany

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BMC Neuroscience 2013, 14:108  doi:10.1186/1471-2202-14-108

Published: 1 October 2013

Additional files

Additional file 1: Figure S1:

Regional construct expression and processing. Example of coronal section stained with 6E10 of homozygous ETNA animals at the age of 3 months. Most severe immunoreactivity is found in the striatum (A). Also amygdala (B) showed strong Aβ expression and pE3-Aβ formation is observed at later time points. In hippocampus Aβ positive cells were observed in the pyramidal cell layer (C), but no pE3-Aβ could be observed up to the age of 9 months. In cortex (D) and brainstem (E) single positive cells were found.

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Additional file 2: Figure S2:

Image examples and region of interest. Example of ETNA striatal coronal section stained with pE3-Aβ specific antibody, used to quantify pE3-Aβ positive cells by CP software (A). Images were taken at 4 x magnification and automatically inverted and transformed into grayscale (B). CP software detects numbers of stained cells and staining artifacts were excluded by low staining intensity and size above 10 pixels. To quantify neuronal numbers of ETNA striatal coronal sections were stained with NeuN-specific antibody. A ROI was defined as image at 10 x magnification (1.6 mm x 0.87 mm) in the basal, lateral striatum with maximal possible distance from lateral ventricle (LV), touching the external capsule (ec) and only including cells of the striatum (C). Example of ROI used for neuronal quantification (D).

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Additional file 3: Figure S3:

Pipelines and image analysis. Pipeline (left) and ‘identify primary objects’ module (right) used to quantify neuronal numbers by CP software (A). Example of neuronal identification and segmentation of clumped cells (B). After inversion and transformation (right upper image), CP detects cells and segments clumped objects by staining intensity (green, right lower image).

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