2 research outputs found

    Age-dependent axonal transport and locomotor changes and tau hypophosphorylation in a "P301L" tau knockin mouse.

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    Tauopathies are characterized by hyperphosphorylation of the microtubule-associated protein tau and its accumulation into fibrillar aggregates. Toxic effects of aggregated tau and/or dysfunction of soluble tau could both contribute to neural defects in these neurodegenerative diseases. We have generated a novel knockin mouse model of an inherited tauopathy, frontotemporal dementia with parkinsonism linked to tau mutations on chromosome 17 (FTDP-17T). We incorporated a single mutation, homologous to the common FTDP-17T P301L mutation, directly into the endogenous mouse gene, mimicking the human disease situation. These mice express P301L-equivalent mutant tau at normal physiological levels from the knockin allele. Importantly, in contrast to existing transgenic mouse models that overexpress human P301L mutant tau, no overt tau pathology developed during the normal lifespan of the knockin mice. In fact, overall phosphorylation of tau was reduced, perhaps due to reduced microtubule binding. However, homozygous knockin mice did display intriguing age-dependent changes in axonal transport of mitochondria, and increased spontaneous locomotor activity in old age. These could represent early consequences of the tau dysfunction that eventually precipitates pathogenesis in humans.Journal ArticleResearch Support, Non-U.S. Gov'tSCOPUS: ar.jinfo:eu-repo/semantics/publishe

    Abstract 4186: syngenomic fingerprint: the biomic characterization of the mouse syngeneic tumor models

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    The pre-clinical assessment of immuno-oncology (IO) therapies can be enabled by the use of murine syngeneic tumors established in immuno-competent mice. With the aims of selecting relevant models and of minimizing animal experimentation by reducing the number of models tested, the full characterisation of syngeneic models at the transcriptomic and genomic level is a key objective for pre-clinical scientists. Model characterisation includes global aCGH, exon array analysis and FACS profiling alongside exome sequencing. The model data is undergoing hypothesis free and driven analyses which are already generating valuable insights. Comparison of in vivo tumor samples with their in vitro equivalents has highlighted enrichment for a number of immune pathways; as has the comparison of different tumor lines. The genomic, transcriptomic and ‘proteomic’ model data are being integrated to give a functional output which will act as a ‘Syngenomic Fingerprint’ for each model. The resulting Syngenomic fingerprints will help pre-clinical scientists to refine their in vivo plans through an improved understanding of the limits and advantages as well as the clinical relevance of some of our preclinical models. It is also supporting the targeted modification of models to better match specific human cancer types
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