Project description:Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative condition characterized by loss of motor neurons in the brain and spinal cord. Expansions of a hexanucleotide repeat (GGGGCC) in the noncoding region of the C9ORF72 gene are the most common cause of the familial form of ALS (C9-ALS), as well as frontotemporal lobar degeneration and other neurological diseases. How the repeat expansion causes disease remains unclear, with both loss of function (haploinsufficiency) and gain of function (either toxic RNA or protein products) proposed. We report a cellular model of C9-ALS with motor neurons differentiated from induced pluripotent stem cells (iPSCs) derived from ALS patients carrying the C9ORF72 repeat expansion. No significant loss of C9ORF72 expression was observed, and knockdown of the transcript was not toxic to cultured human motor neurons. Transcription of the repeat was increased, leading to accumulation of GGGGCC repeat–containing RNA foci selectively in C9-ALS iPSC-derived motor neurons. Repeat-containing RNA foci colocalized with hnRNPA1 and Pur-?, suggesting that they may be able to alter RNA metabolism. C9-ALS motor neurons showed altered expression of genes involved in membrane excitability including DPP6, and demonstrated a diminished capacity to fire continuous spikes upon depolarization compared to control motor neurons. Antisense oligonucleotides targeting the C9ORF72 transcript suppressed RNA foci formation and reversed gene expression alterations in C9-ALS motor neurons. These data show that patient-derived motor neurons can be used to delineate pathogenic events in ALS. Transcriptome profiling from iPSC derived motor neurons compared to controls

2013-11-07 | E-GEOD-52202 | biostudies-arrayexpress

Expression data from human iPSCs and iPSC-derived neurons

Project description:In this dataset, we studied human dopaminergic neuron differenation from induced pluripotent stem cells (iPSCs). We included the gene expression data obtained from iPSCs and iPSC-derived dopaminergic neurons. This dataset is used to predict chromatin accessibility in iPSCs and iPSC-derived neurons using BIRD (Big data Regression for predicting DNase I hypersensitivity).

2016-12-30 | GSE93012 | GEO

Gene expression from human iPSC derived cortical neurons

Project description:Gene expression from icas9 human iPSC derived cortical neurons treated with and without doxycycline

| EGAS00001004782 | EGA

Project description:iPSC-derived motor neurons FUSR503fs mutation

| PRJNA1097276 | ENA

86b5b04d-1d30-4917-afb8-07d018a57901 - samples

Project description:iPSC-derived motor neurons from 5 NOVA1 knock out and 5 NOVA1 wt lines in the CVB background.

| EGAD00001008427 | EGA