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Transcriptomic and open chromatin atlas of high-resolution anatomical regions in the rhesus macaque brain

ABSTRACT: Rhesus macaque is a prime model animal in neuroscience. A comprehensive transcriptomic and open chromatin atlas of the rhesus macaque brain is key to a deeper understanding of the brain. Here we characterize the transcriptome of 416 brain samples from 52 regions of 8 rhesus macaque brain. We identify gene modules associated with specific brain regions like the cerebral cortex, pituitary, and thalamus. In addition, we discover 9703 novel intergenic transcripts, including 1701 coding transcripts and 2845 lncRNAs. Most of the novel transcripts are only expressed in specific brain regions or cortical regions of specific individuals. We further survey the open chromatin regions in the hippocampal CA1 and several cerebral cortical regions of the rhesus macaque brain using ATAC-seq, revealing CA1- and cortex-specific open chromatin regions. Our results add to the growing body of knowledge regarding the baseline transcriptomic and open chromatin profiles in the brain of rhesus macaque.

ORGANISM(S): Macaca mulatta

PROVIDER: GSE128537 | GEO | 2019/12/30

REPOSITORIES: GEO

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Project description:Genome-wide transcriptional profiling allows characterization of the molecular underpinnings of neocortical organization, including cortical areal specialization, laminar cell type diversity and functional anatomy. Microarray analysis of individual cortical layers across sensorimotor and association cortices in rhesus macaque demonstrated robust and specific laminar and areal molecular signatures driven by differential expression of genes associated with specialized neuronal function. Gene expression corresponding with laminar architecture was generally similar across cortical areas, although genes with robust areal patterning were often highly laminar as well, and these patterns were more highly conserved between macaque and human as compared to mouse. Layer 4 of primate primary visual cortex displayed a distinct molecular signature compared to other cortical regions, a specialization not observed in mouse. Overall, transcriptome-based relationships were strongest between proximal layers in a cortical area, and between neighboring areas along the rostrocaudal axis, reflecting in vivo cortical spatial topography and therefore a developmental imprint. Tissue from male and female monkeys (n = 2-3 animals/gender) was collected from anterior cingulate gyrus (ACG), layers 2, 3, 5, 6; orbitofrontal cortex (OFC), layers 2, 3, 5, 6; dorsolateral prefrontal cortex (DLPFC), layers 2-6; primary motor cortex (M1), layers 2, 3, 5, 6; primary somatosensory cortex (S1), layers 2-6; primary auditory cortex (A1), layers 2-6; primary visual cortex (V1), layers 2-6 including 4A, 4B, 4Calpha (4Ca), 4Cbeta (4Cb); secondary visual cortex (V2), layers 2-6; middle temporal area (MT), layers 2-6; temporal area (TE), layers 2-6; hippocampus, CA1, CA2, CA3, dentate gyrus (DG); and dorsal lateral geniculate nucleus (LGN), magnocellular, parvocellular and koniocellular divisions. Due to the limited number of samples that could be amplified concurrently, amplifications were performed in 3 batches (batches A-C, containing 102, 119 and 10 experimental samples, respectively). To control for batch effects, common RNA pool control samples were amplified and hybridized in each batch. These included LCM extracted hippocampus CA3 samples from the current study and a whole rhesus brain RNA pool (Biochain). These control samples were hybridized in 6 replicates in batch A and B and in 3 replicates in batch C (3 replicates per 96 well plate).

Project description:Metabolic, mitochondrial and behavioral correlations with transcriptional profiles from the CA1 and DG hippocampal regions of young and aged rhesus macaque. Increasing evidence indicates that obesity correlates with impaired cognitive performance during normal aging and is a major risk factor for Alzheimer’s disease. However, little is known regarding how peripheral metabolic variables affect cellular pathways in brain regions important for memory. Brain inflammation, mitochondrial dysregulation, and altered transcriptional regulation have all been found to occur with aging, and recent microarray analyses in rodent models have linked these processes and others to age-related memory impairment. However, whether these brain changes are also associated with metabolic variables is not known. Aging monkeys exhibit several metabolic changes similar to those seen in humans. Here, we tested peripheral-brain relationships in six young (7.0 +/- 0.3 years) and six aged (23.5 +/- 0.7 years) female rhesus monkeys. Animal cognition was gauged with a variable delay task; blood constituents were assessed with a serum chemistry panel emphasizing markers of metabolic dysfunction; mitochondrial function was measured from the hippocampus of one hemisphere; and the CA1 and dentate gyrus regions of the other hippocampus were dissected out for gene expression microarray analysis. Aged animals showed reduced performance on the behavioral task, exhibited aspects of metabolic dysregulation including increased insulin, triglyceride, and chylomicron levels (consolidated into a peripheral metabolic index), and showed a significant age-related reduction in State III oxidation, a measure of mitochondrial function. Microarray analyses revealed hundreds of genes that correlated with the peripheral metabolic index. However, DAVID statistical pathway analyses showed that upregulated inflammatory genes in CA1 and downregulated transcriptional regulation genes in dentate gyrus and CA1 were particularly overrepresented among genes correlated with the peripheral index. Thus, the association of metabolic variables with specific neuropathological processes in different regions of the hippocampal formation may have implications for mechanisms through which peripheral metabolism alters the risk for Alzheimer’s disease. Keywords: Rhesus hippocampal aging

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Transcriptomic and open chromatin atlas of high-resolution anatomical regions in the rhesus macaque brain

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