Transcriptomics

Dataset Information

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Genome wide analysis points towards subtype specific diseases in different genetic forms of Amyotrophic Lateral Sclerosis


ABSTRACT: We established iPSCs from healthy donors, FUS-ALS and SOD1-ALS patients. Using our differentiation protocol originally developed by Reinhardt et al.,2013, we diferentiated these iPSCs toward spinal motor neurons (MNs) and reproduce ALS pathology in a dish. To extend our understanding of finding different molecular mechanisms and pathways related to FUS- and SOD mutations in ALS disease, we have performed a comprehensive gene expression profiling study using microarray hybridization of the iPSC-derived MN models from control individuals and carefully compared with those from FUS-ALS and SOD1-ALS patients. In addition, we further analyzed previously published independent datasets containing the genome-wide RNA profiling of iPSC-derived MN samples from patients with FUS and SOD1 mutations and controls. This microaray dataset GSE10638 (Fujimori et al., 2018) was retrieved from GEO database and was screened to identifiy potential drug candidates which suppressed the detected ALS-related phenotypes of these ALS models. Finally, we made a systematic comparison with our results to the ones independently obtained previously.Here through this study, we create a gene profile of ALS by analyzing the differentially expressed genes (DEGs), the kyoto encyclopedia of Genes and Genomes (KEGG) pathways, the interactome as well as transcription factor profiles (TF) that would identify altered functional/molecular signatures and their interactions at both transcriptional (mRNAs) and translational levels (hub proteins and TFs) which stands validation across the different datasets (including different differentiation protocols etc.). By doing so we provide condensed pathophysiological pathways of FUS-ALS and SOD1-ALSto better understand the biological mechanisms underlying motor neuron disease.

ORGANISM(S): Homo sapiens

PROVIDER: GSE158264 | GEO | 2020/09/21

REPOSITORIES: GEO

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