Transcriptomics

Dataset Information

0

Transcriptome changes in the Alzheimer's middle temporal gyrus: importance of RNA metabolism and mitochondria-associated membrane (MAM) genes


ABSTRACT: We used Illumina Human HT-12 v4 arrays to compare RNA expression of middle temporal gyrus (MTG; BA21) in Alzheimer’s Disease (AD = 97) and non-demented controls (ND = 98). A total of 938 transcripts were highly differentially expressed (adj p < 0.01; log2 Fold Change (FC) ≥ |0.500|, with 411 overexpressed and 527 underexpressed in AD. Our results correlated with expression profiling in neurons from AD and ND obtained by Laser Capture Microscopy in MTG from an independent dataset (log2 FC correlation: r = 0.504; p = 2.2e-16). Additionally selected effects were validated by qPCR. ANOVA analysis yielded no difference between genders in response to AD, but some gender specific genes were detected (e.g: IL8 and AGRN in males, and HSPH1 and GRM1 in females). Several transcripts were associated with Braak Staging (e.g AEBP1 and DNALI1), ante-mortem MMSE (e.g. AEBP1 and GFAP) and Tangle density (eg. RNU1G2, and DNALI1). At the pathway level we detected enrichment of Synaptic Vesicle Processes and GABAergic transmission genes. Finally, applying the Weighted Correlation Network Analysis (WGCNA) we identified 4 expression modules enriched for neuronal and synaptic genes, mitochondria-associated membrane (MAM), chemical stimulus and olfactory receptor and non-coding RNA metabolism genes. Our results represent an extensive description of MTG mRNA profiling in a large sample of AD and ND. These data provide a list of genes associated with AD, and correlated to neurofibrillary tangles density. In addition, these data emphasize the importance of mitochondrial membranes and transcripts related to olfactory receptors in AD.

ORGANISM(S): Homo sapiens

PROVIDER: GSE132903 | GEO | 2019/06/19

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-02-16 | PXD024216 | Pride
2022-12-21 | GSE220442 | GEO
2024-03-14 | GSE255462 | GEO
2024-03-14 | GSE243611 | GEO
2017-08-24 | GSE102977 | GEO
2019-12-31 | GSE124243 | GEO
2012-04-29 | E-GEOD-18892 | biostudies-arrayexpress
| PRJNA326843 | ENA
2016-05-11 | PXD003312 | Pride
2020-04-01 | GSE138427 | GEO