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Series GSE77662 Query DataSets for GSE77662
Status Public on Feb 09, 2016
Title SNP data from induced Pluripotent Stem cells from Parkinson's Disease patients harbouring G2019S mutations in the LRRK2 gene
Organism Homo sapiens
Experiment type SNP genotyping by SNP array
Summary We have generated human induced Pluripotent Stem cells (hiPSc) using Retroviral virus-mediated delivery of reprogramming factors. hiPSc lines have been screened using SNP array to assess chromosomal stability (alongside the fibroblast lines from which they derived), and validation of the pluripotency of the hiPSc lines is provided by Pluritest assessment of transcriptome datasets, prior to differentiation and downstream assays.
Gene expression profiling in patient-derived dopamine neurons identifies candidate therapeutic molecules in Parkinson’s disease.
Overall design human iPSc lines were derived from human dermal fibroblasts from 3 PD LRRK2 G2019S patients and 3 control donors. SNP and gene expression datasets were generated from patient and control lines. Note that iPS OX1-19 and iPS-NHDF-1, also used in the current study, have been published previously so datasets are not given here [GSE45472 PMID:23951090 ; GSE43904 PMID:24586273]
Contributor(s) Sandor C, Robertson P, Lang C, Heger A, Booth H, Vowles J, Witty L, Bowden R, Hu M, Cowley SA, Wade-Martins R, Webber C
Citation(s) 28096185
Submission date Feb 08, 2016
Last update date Dec 18, 2017
Contact name Sally A Cowley
Phone +44 (0) 1865 275600
Organization name University of Oxford
Department Sir William Dunn School of Pathology
Lab James Martin Stem Cell Facility
Street address South Parks Road
City Oxford
ZIP/Postal code OX1 3RE
Country United Kingdom
Platforms (1)
GPL13829 Illumina HumanCytoSNP-12 v2.1 BeadChip
Samples (8)
GSM2055805 AH016 control fibroblasts
GSM2055806 AH016 control iPSc clone 3
GSM2055807 MK144 LRRK2 G2019S fibroblasts
This SubSeries is part of SuperSeries:
GSE77664 Gene expression and SNP genotype data from induced Pluripotent Stem cells from Parkinson's Disease patients harbouring G2019S mutations in the LRRK2 gene
BioProject PRJNA311169

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE77662_non_normalized_SNP.txt.gz 32.3 Mb (ftp)(http) TXT
Processed data included within Sample table

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