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Status |
Public on Jun 27, 2013 |
Title |
Expression data generated from post-mortem human brain tissue originating from neurologically and neuropathologically control individuals |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
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 Expression Consortium has generated gene expression data on a large cohort of neurologically and neuropathologically normal individuals in order to better understand gene expression differences across the human brain.
This SuperSeries is composed of the SubSeries listed below.
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Overall design |
1231 samples are analysed in total and these samples originate from 134 Caucasian individuals. From each individual, up to ten brain regions were sampled and analysed. Gene-level and exon-level analyses result in 2462 GEO Samples.
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Contributor(s) |
Ryten M, Trabzuni D, Walker R, Smith C, Ramasamy A, Guelfi S, Weale ME, Hardy J |
Citation(s) |
24519379, 24264146, 25174004, 26728570, 23967090 |
Submission date |
May 07, 2013 |
Last update date |
Aug 12, 2019 |
Contact name |
Mina Ryten |
E-mail(s) |
mina.ryten@ucl.ac.uk
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Organization name |
UCL Institute of Neurology
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Department |
Department of Molecular Neuroscience
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Street address |
Queen Square
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City |
London |
ZIP/Postal code |
WC1N 3BG |
Country |
United Kingdom |
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Platforms (2) |
GPL5175 |
[HuEx-1_0-st] Affymetrix Human Exon 1.0 ST Array [transcript (gene) version] |
GPL5188 |
[HuEx-1_0-st] Affymetrix Human Exon 1.0 ST Array [probe set (exon) version] |
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Samples (2462)
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This SuperSeries is composed of the following SubSeries: |
GSE60862 |
Gene-level analysis of 1231 samples originating from 134 Caucasian individuals |
GSE60863 |
Exon-level analysis of 1231 samples originating from 134 Caucasian individuals |
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Relations |
BioProject |
PRJNA202084 |