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Items: 2

1.

Inference of cell-type composition from human brain transcriptomic datasets illuminates the effects of age, manner of death, dissection, and psychiatric diagnosis

(Submitter supplied) Most neuroscientists would agree that psychiatric illness is unlikely to arise from pathological changes that occur uniformly across all cells in a given brain region. Despite this fact, the majority of transcriptomic analyses of the human brain to date are conducted using macro-dissected tissue due to the difficulty of conducting single-cell level analyses on donated post-mortem brains. To address this issue statistically, we compiled a database of several thousand transcripts that were specifically-enriched in one of 10 primary brain cell types identified in published single cell type transcriptomic experiments. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL17027 GPL10526
363 Samples
Download data: CEL, TXT
Series
Accession:
GSE92538
ID:
200092538
2.

Circadian patterns of gene expression in the human brain and disruption in major depressive disorder [control set]

(Submitter supplied) A cardinal symptom of Major Depressive Disorder (MDD) is the disruption of circadian patterns. Yet, to date, there is no direct evidence of circadian clock dysregulation in the brains of MDD patients. Circadian rhythmicity of gene expression has been observed in animals and peripheral human tissues, but its presence and variability in the human brain was difficult to characterize. Here we applied time-of-death analysis to gene expression data from high-quality postmortem brains, examining 24-hour cyclic patterns in six cortical and limbic regions of 55 subjects with no history of psychiatric or neurological illnesses ('Controls') and 34 MDD patients. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17027
670 Samples
Download data: CEL
Series
Accession:
GSE45642
ID:
200045642

Supplemental Content

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