Comparison of Different in Vitro Models of Alzheimer's Disease Using Re-Analysis of Scrna-Seq Data

Abstract

Alzheimer's disease (AD) is a neurodegenerative disease affecting at least 35 million people worldwide, creating significant health and social care challenges. In this research, I aim to investigate the molecular pathways contributing to AD pathology by using publicly available datasets generated from different in vitro models of Alzheimer's disease. To address this aim, I re-analyzed single-cell RNA-Seq datasets derived from Cakir, B. et al (2022, GSE175719) and Pérez, J.J. et al. (2020, GSE147047). Using the Seurat package in RStudio, I compared gene expression of cortical neurons from dementia groups, modelled with PITRM1 knockout or addition of amyloid-beta into the cultures, to that of untreated neurons. Combination of single-cell RNA-Seq allowing single-cell resolution with different in vitro models of Alzheimer's disease might help to elucidate the pathways involved in Alzheimer's disease pathology.