Search bioRxivSearch

Biology subjects

Sandmann, T.

Publications and source records attributed to Sandmann, T..

2 recordsLinked to original sources

Fibrillar Aβ causes profound microglial metabolic perturbations in a novel APP knock-in mouse model

Microglial dysfunction is believed to play a pathogenic role in Alzheimers disease (AD). Here, we characterize the amyloid-{beta} related pathology and microglial responses in an engineered APP knock-in mouse model of familial AD. This model recapitulates key pathological features of AD such as a progressive accumulation of parenchymal amyloid plaques and vascular amyloid deposits, altered glial responses and neurodegeneration. Leveraging multi-omics approaches, we found lipid accumulation and an exacerbated disease-associated transcriptomic response in methoxy-X04-positive, phagocytic microglia. Together, these findings highlight the potential of this novel, open-access mouse model to investigate AD pathogenesis and demonstrate that fibrillar A{beta} triggers lipid dysregulation and immuno-metabolic perturbations in phagocytic microglia. HighlightsO_LINovel open-access APP KI mouse model shows salient AD pathological features C_LIO_LIDeep phenotyping of sorted microglia reveals profound lipidomic perturbations in line with Alois Alzheimers original descriptions of glial adipose inclusions C_LIO_LIImmunometabolic perturbations are exacerbated in microglia accumulating fibrillar A{beta} C_LI

neuroscience

Sorting & Sequencing Flies By Size: Identification Of Novel TOR Regulators And Parameters For Successful Sorting

As DNA sequencing throughput increases, novel strategies for discovering genes that affect traits of interest become available. One strategy starts with a population of animals and selects individuals over multiple generations for a particular trait. Subsequent whole genome sequencing should identify loci affecting this trait. We apply this strategy by sorting flies for wing length over 18 generations, obtaining two populations that differ in wing length by 20%. Flies with longer wings had increased overall body sizes and elevated TOR activity, suggesting that genetic variation targets TOR signaling to influence body size. High-throughput sequencing of big and small flies identified thousands of single nucleotide polymorphisms that differed between the two populations, leading us to identify five novel regulators of TOR signaling. Surprisingly, stochastic simulations of the process show that large fractions of the genetic differences between the big and small flies are probably biological false positives, selected by chance by random drift. We employ these computer simulations to identify experimental setup parameters to improve the signal-to-noise ratio for successfully running sort-and-sequence experiments - a resource which will hopefully be useful for the community.

genetics