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000137945 0247_ $$2doi$$a10.1371/journal.pone.0125418
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000137945 041__ $$aEnglish
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000137945 1001_ $$aJährling, Nina$$b0
000137945 245__ $$aCerebral β-Amyloidosis in Mice Investigated by Ultramicroscopy.
000137945 260__ $$aSan Francisco, California, US$$bPLOS$$c2015
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000137945 520__ $$aAlzheimer´s disease (AD) is the most common neurodegenerative disorder. AD neuropathology is characterized by intracellular neurofibrillary tangles and extracellular β-amyloid deposits in the brain. To elucidate the complexity of AD pathogenesis a variety of transgenic mouse models have been generated. An ideal imaging system for monitoring β-amyloid plaque deposition in the brain of these animals should allow 3D-reconstructions of β-amyloid plaques via a single scan of an uncropped brain. Ultramicroscopy makes this possible by replacing mechanical slicing in standard histology by optical sectioning. It allows a time efficient analysis of the amyloid plaque distribution in the entire mouse brain with 3D cellular resolution. We herein labeled β-amyloid deposits in a transgenic mouse model of cerebral β-amyloidosis (APPPS1 transgenic mice) with two intraperitoneal injections of the amyloid-binding fluorescent dye methoxy-X04. Upon postmortem analysis the total number of β-amyloid plaques, the β-amyloid load (volume percent) and the amyloid plaque size distributions were measured in the frontal cortex of two age groups (2.5 versus 7-8.5 month old mice). Applying ultramicroscopy we found in a proof-of-principle study that the number of β-amyloid plaques increases with age. In our experiments we further observed an increase of large plaques in the older age group of mice. We demonstrate that ultramicroscopy is a fast, and accurate analysis technique for studying β-amyloid lesions in transgenic mice allowing the 3D staging of β-amyloid plaque development. This in turn is the basis to study neural network degeneration upon cerebral β-amyloidosis and to assess Aβ-targeting therapeutics.
000137945 536__ $$0G:(DE-HGF)POF3-342$$a342 - Disease Mechanisms and Model Systems (POF3-342)$$cPOF3-342$$fPOF III$$x0
000137945 542__ $$2Crossref$$i2015-05-27$$uhttp://creativecommons.org/licenses/by/4.0/
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000137945 650_7 $$2NLM Chemicals$$a1,4-bis(4'-hydroxystyryl)-2-methoxybenzene
000137945 650_7 $$2NLM Chemicals$$aAlkenes
000137945 650_7 $$2NLM Chemicals$$aAmyloid beta-Protein Precursor
000137945 650_7 $$2NLM Chemicals$$aBenzene Derivatives
000137945 650_7 $$2NLM Chemicals$$aFluorescent Dyes
000137945 650_7 $$2NLM Chemicals$$aStilbenes
000137945 650_2 $$2MeSH$$aAlkenes: analysis
000137945 650_2 $$2MeSH$$aAlkenes: metabolism
000137945 650_2 $$2MeSH$$aAmyloid beta-Protein Precursor: genetics
000137945 650_2 $$2MeSH$$aAmyloidosis: pathology
000137945 650_2 $$2MeSH$$aAnimals
000137945 650_2 $$2MeSH$$aBenzene Derivatives: analysis
000137945 650_2 $$2MeSH$$aBenzene Derivatives: metabolism
000137945 650_2 $$2MeSH$$aBrain: pathology
000137945 650_2 $$2MeSH$$aDisease Models, Animal
000137945 650_2 $$2MeSH$$aFluorescent Dyes: analysis
000137945 650_2 $$2MeSH$$aFluorescent Dyes: metabolism
000137945 650_2 $$2MeSH$$aHumans
000137945 650_2 $$2MeSH$$aImaging, Three-Dimensional: methods
000137945 650_2 $$2MeSH$$aMice, Inbred C57BL
000137945 650_2 $$2MeSH$$aMice, Transgenic
000137945 650_2 $$2MeSH$$aMicroscopy: methods
000137945 650_2 $$2MeSH$$aPlaque, Amyloid: pathology
000137945 650_2 $$2MeSH$$aStilbenes
000137945 7001_ $$aBecker, Klaus$$b1
000137945 7001_ $$0P:(DE-2719)2814007$$aWegenast-Braun, Bettina M$$b2$$udzne
000137945 7001_ $$0P:(DE-2719)2501880$$aGrathwohl, Stefan A$$b3$$udzne
000137945 7001_ $$0P:(DE-2719)2000010$$aJucker, Mathias$$b4$$udzne
000137945 7001_ $$aDodt, Hans-Ulrich$$b5
000137945 77318 $$2Crossref$$3journal-article$$a10.1371/journal.pone.0125418$$b : Public Library of Science (PLoS), 2015-05-27$$n5$$pe0125418$$tPLOS ONE$$v10$$x1932-6203$$y2015
000137945 773__ $$0PERI:(DE-600)2267670-3$$a10.1371/journal.pone.0125418$$gVol. 10, no. 5, p. e0125418 -$$n5$$pe0125418$$q10:5<e0125418 -$$tPLOS ONE$$v10$$x1932-6203$$y2015
000137945 8564_ $$uhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0125418
000137945 8567_ $$2Pubmed Central$$uhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4446269
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000137945 9141_ $$y2015
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000137945 999C5 $$2Crossref$$9-- missing cx lookup --$$a10.1038/nm.3734$$o10.1038/nm.3734
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