In this study, we have used a multidimensional approach including high-magnification and super-resolution microscopy, cerebro-spinal fluid (CSF) mass spectrometry analysis and ELISA to investigate the Aβ pathology and its associated cognitive impairments, in a novel transgenic rat model overexpressing human APP.
The advantages of this approach include high sample throughput, low detection limit, and good interlaboratory reproducibility.
Although the optimal treatment of these complications is subject to debate, the current empirical approach includes high doses of corticosteroids [ 5].
Modern approaches, including high performance video, neurophysiology, and neurogenetics, allow to analyze invertebrate behavior on all levels of generation and performance in an unprecedented way.
Through a combination of methodological approaches, including high resolution immunogold cytochemistry (Amiry-Moghaddam and Ottersen 2013), we could show that the different members of this complex exhibit distinct ontogenetic profiles.
Conclusively, we demonstrated the application and integration of multiple approaches including high throughput phenotyping using DI, genome wide association studies (GWAS) and in silico functional analysis of candidate loci to analyze target traits, and identify candidate genomic regions underlying these traits.
In attempts to generate interpretable data regarding the complex phenomena and highly interacting factors involved, we are combining several scientific approaches, including high throughput genomic analyses to measure gene expression (or at least mRNA levels), together with morphological, physiological and ecological evaluations of plants grown under natural conditions.
The potential benefits of such approach include higher commitment for strategy and a greater willingness to change.
The approach includes high-throughput generation of mutant clones by Gateway, confirmation of variant identity by barcoding and next-generation sequencing, and stratification of cancer variants by multiplexed interaction profiling.
The advantages of this approach include higher confidence in the code that is running in production, integration of testing into deployment workflows, verifiability that systems have not been compromised.
