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Series GSE134737 Query DataSets for GSE134737
Status Public on Apr 20, 2020
Title Modeling hypoxia induced neuropathies using a fast and scalable human motor neuron differentiation system
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Human pluripotent stem cells carry great potential to provide novel insights into disease mechanisms by enabling generation and study of functional cell types under cell culture conditions, including human motor neurons (MNs). MN disease are a group of conditions where these nerves progressively loose function. Recent findings using animal model systems suggest a previously unappreciated role for mRNA mis-localization in disease development and progression. However, model systems to investigate this novel disease link in the human context are currently absent. Here we describe a scalable suspension-based differentiation system to generate large numbers of hPSCs derived neuronal progenitors that can further differentiate efficiently into functional stem cell derived human motor neurons (sMN) within only 3 weeks. To be able to investigate potential differences in mRNA transcripts between sMN cell soma and neurites we further established a membrane-based culture system that allows efficient fractionation of cell soma and neurites.
Overall design Quantification of transcript abundance in soma and neurites of hypoxia and control human motor neurons
Contributor(s) Holger R, Taliaferro JM
Citation(s) 32386561
Submission date Jul 23, 2019
Last update date Jul 20, 2020
Contact name Matthew Taliaferro
Organization name University of Colorado Anschutz Medical Campus
Department Biology
Street address 12801 E 17th Ave, RC1 South Room 10403D
City Aurora
State/province CO
ZIP/Postal code 80045
Country USA
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (34)
GSM3965157 NormoxiaSomaA
GSM3965159 NormoxiaSomaB
GSM3965161 NormoxiaSomaC
BioProject PRJNA556250
SRA SRP216073

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE134737_RAW.tar 90.4 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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