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TranscriptomicsSNP data from genomic DNA from a subject, fibroblasts, iPSCs and neurons with four copies of SNCA, and genomic DNA from an unaffected first degree relative and equivalent cell lines
A major barrier to research on Parkinson’s disease (PD) is inaccessibility of diseased tissue for study. One solution is to derive induced pluripotent stem cells (iPSCs) from patients with PD and differentiate them into neurons affected by disease. We created an iPSC model of PD caused by triplicati...
ORGANISM(S): Homo sapiens 
2011-09-14 | E-GEOD-28366 | biostudies-arrayexpress
TranscriptomicsExpression data from Parkison's iPSCs with four copies of SNCA, and equivalent cell lines from an unaffected first degree relative
A major barrier to research on Parkinson’s disease (PD) is inaccessibility of diseased tissue for study. One solution is to derive induced pluripotent stem cells (iPSCs) from patients with PD and differentiate them into neurons affected by disease. We created an iPSC model of PD caused by triplicati...
ORGANISM(S): Homo sapiens 
2011-09-14 | E-GEOD-30792 | biostudies-arrayexpress
TranscriptomicsExpression data from fibroblasts, iPSCs and neurons with four copies of SNCA, and equivalent cell lines from an unaffected first degree relative
A major barrier to research on Parkinson’s disease (PD) is inaccessibility of diseased tissue for study. One solution is to derive induced pluripotent stem cells (iPSCs) from patients with PD and differentiate them into neurons affected by disease. We created an iPSC model of PD caused by triplicati...
ORGANISM(S): Homo sapiens 
2011-09-14 | E-GEOD-28365 | biostudies-arrayexpress
TranscriptomicsExpression data generated from post-mortem human brain tissue originating from neurologically and neuropathologically control individuals
This is a subset of the data set generated by the UK Brain Expression Consortium. This subset has been used specifically to study the effects of age on gene expression in multiple human tissues, and all samples originate from a single brain bank, the MRC Sudden Death Brain and Tissue Bank in Edinbur...
ORGANISM(S): Homo sapiens 
2013-06-27 | E-GEOD-46706 | biostudies-arrayexpress
Genomicsena-DATASET-UKBEC-30-11-2016-15:16:48:139-418 - samples
UKBEC 1st release of Exome data for 65 neuropathologically confirmed control individuals of European descent.
EGAD00001003100 | EGA
GenomicsExome sequencing of United Kingdom Brain Expression Consortium samples
The United Kingdom Brain Expression Consortium studies regulation of gene expression through common and rare variation. One of the main set of samples is compound by bulk brain tissue from 10 brain regions obtained from 134 controls.
EGAS00001002113 | EGA
Genomicsena-DATASET-UKBEC-12-03-2015-16:21:20:556-32 - samples
Brain samples for this dataset were provided by the Medical Research Council Sudden Death Brain and Tissue Bank (Edinburgh, UK). All four individuals sampled were of European descent, neurologically normal during life and confirmed to be neuropathologically normal by a consultant neuropathologist...
EGAD00001001274 | EGA
GenomicsRecursive splicing in long vertebrate genes
Recent studies have shown that expression of many genes with exceptionally long introns in the mammalian brain can be perturbed by regulatory factors linked to neurodevelopmental or neurodegenerative disorders1-3, suggesting unique regulatory mechanisms. Here we identify functional recursive splice ...
EGAS00001001170 | EGA
GenomicsThis DAC is the list of persons that, on behalf of the UKBEC consortium, manage the access to the UKBEC data.
Data Access Committee EGAC00001000314
EGAC00001000314 | EGA
TranscriptomicsGene-level analysis of 1231 samples originating from 134 Caucasian individuals
This data set was generated by the UK Brain Expression Consortium and consists of gene expression data generated from post-mortem human brain samples, dissected from 10 brain regions and originating from a large cohort of neurologically and neuropathologically normal individuals. The UK Brain Expres...
ORGANISM(S): Homo sapiens 
2014-08-29 | E-GEOD-60862 | biostudies-arrayexpress
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