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Beck, V.

Publications and source records attributed to Beck, V..

3 recordsLinked to original sources

APPNL-F knock-in Alzheimer's Disease model mice reveal etiological convergence of aging and amyloidosis

Alzheimers disease (AD) is the leading cause of dementia worldwide, with a steadily increasing prevalence. Despite the advent of some plaque-degrading therapies, early intervention strategies are still suboptimal, largely due to an incomplete understanding of how early pathological events of amyloid-{beta} (A{beta}) plaque deposition entail or accompany the neuroinflammatory processes that ensue. The APPNL-F mouse line is a second-generation endogenous-promoter knock-in AD model that represents a valuable tool to dissect disease mechanisms and evaluate therapeutic strategies. However, the early prodromal stage remains poorly characterized. Here we performed in-depth analyses in both homozygous (APPNL-F/NL-F) and heterozygous (APPNL-F/WT) mice at 3, 6, 9 and 12 months of age. Among a battery of behavioural tests, the first phenotype was observed at 9 months with defects in spatial memory. Using hypersensitive MSD-ELISA technology assays we quantified distinct A{beta} species and found that A{beta}42 oligomers, protofibrils, and fibrillar aggregates were detectable as early as 6 months of age in homozygous APPNL-F/NL-F mice. By 9 months, their A{beta}42 levels increased markedly and overt A{beta} plaques were detected, histologically associated with recruited glial cells. Targeted RT-qPCR analysis of neuroinflammation-related genes in the cortex also identified 9 months as a molecular tipping point in these middle aged APPNL-F mice. To characterize the etiological signal transduction at the cellular level, we isolated microglia, the brain resident immune cells, whose contribution to AD pathogenesis is now well established. Sequencing around 5,000 individual cells from both 12-month-old APPNL-F/NL-F and APPWT/WT CD11b+ myeloid cells revealed that the buildup of amyloidosis was associated with an accelerated shift of microglia from a homeostatic toward a senescent-like state. Together, these findings highlight the 6-12 month period of the APPNL-F/NL-F model as a powerful system to study the interdependence between microglial senescence and amyloidosis in driving AD progression.

neuroscience↗

Fluorescence lifetime imaging of sDarken as a tool for the evaluation of serotonin levels

Recent advances in the development of genetically encoded biosensors have resulted in a variety of different neurotransmitter sensors for the precise measurement of the dynamics of neurotransmitters, neuromodulators, peptides and hormones in real time. However, intensity-based measurements of fluorescent biosensors are limited by their dependence on the expression level of the sensor, the intensity of the excitation light, and photobleaching overtime. Here, we show that the FLIM of sDarken (a GPCR-based genetically encoded sensor for serotonin) decreases with increasing serotonin concentrations. Different members of the sDarken family, with different affinities for serotonin, show concentration-dependent changes in fluorescence lifetime according to their dynamic range. We believe that this feature of sDarken is a value-adding complement to intensity-based information and may lead to a better understanding of serotonin dynamics in health and disease.

neuroscience↗

A simple and efficient CRISPR technique for protein tagging

Genetic knock-in using homology directed repair is an inefficient process, requiring selection of few modified cells and hindering its application to primary cells. Here we describe Homology independent gene Tagging (HiTag), a method to tag a protein of interest by CRISPR in up to 66% transfected cells with one single electroporation. The technique has proven effective in various cell types, can be used to knock in a fluorescent protein for live cell imaging, to modify the cellular location of a target protein and to monitor levels of a protein of interest by a luciferase assay in primary cells.

cell biology↗