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Transcriptomics data of blood and brain from the YAC128 Huntington's disease mouse model [blood]

ABSTRACT: Transcriptomics data of blood and brain from the YAC128 Huntington's disease mouse model [blood]

PROVIDER: PRJNA716533 | ENA |

REPOSITORIES: ENA

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Transcriptomics data of blood and brain from the YAC128 Huntington's disease mouse model [blood]

Project description:Therapeutic development for Huntington's disease (HD) would benefit from a method to monitor disease progression and treatment efficacy, ideally using blood biomarkers. Previously, HD-specific signatures were identified in human blood which adequately represented signatures in human brain, showing biomarker potential. Since drug candidates are normally first screened in rodent models, we aimed to identify HD-signatures in blood and brain of YAC128 HD mice and validate these with our previously identified human signatures. In both brain and blood, we identified HD-associated modules using Weighted Gene Co-expression Network Analysis (WGCNA) representing various biological processes previously associated with HD. Disease-related processes in blood and brain showed substantial overlap, including processes related to protein modification, cell cycle, RNA splicing, nuclear transport and vesicle-mediated transport. Moreover, the disease-associated processes shared between mouse blood and brain were highly comparable to those previously identified in human blood and brain. In addition to shared pathology, we identified HD-associated blood modules showing blood-specific pathology.

2021-12-21 | GSE169405 | GEO

Transcriptomics data of blood and brain from the YAC128 Huntington's disease mouse model [brain]

2021-12-21 | GSE170997 | GEO

Transcriptomics data of blood and brain from the YAC128 Huntington's disease mouse model [brain]

Project description:Transcriptomics data of blood and brain from the YAC128 Huntington's disease mouse model [brain]

| PRJNA718064 | ENA

Transcriptomics data of blood and brain from the YAC128 Huntington's disease mouse model

Project description:Transcriptomics data of blood and brain from the YAC128 Huntington's disease mouse model

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BBBomics - Human Blood Brain Barrier Transcriptomics Hub

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DNA methylation profiles from a transgenic sheep model of Huntington's disease

Project description:An Infinium microarray platform (HorvathMammalMethylChip40) was used to generate DNA methylation data from n=168 blood samples of a transgenic sheep model of Huntington's disease. 84 transgenic sheep and age matched control sheep.

2020-07-02 | GSE147003 | GEO

Multi-transcriptomics reveals brain cellular responses to peripheral infection in Alzheimer's disease model mice [spatial transcriptomics]

Project description:Peripheral inflammation has been associated with various neurodegeneration, including Alzheimer's Disease (AD). In this study, we employed an AD mouse model nasally infected with Staphylococcus aureus to assess the impact of chronic or acute peripheral inflammation on brain transcriptome and amyloid pathology. The chronic exposure increased the diffuse and compact amyloid plaques and blood cytokine levels. Following a short-term exposure, single-cell and spatial transcriptomics uncovered cell type- and spatial-specific transcriptional changes indicating a dysregulation of the brain barriers, including the blood-brain and the blood-cerebrospinal fluid barriers. Brain macrophages exhibited increased Apoe expression and macrophage-specific genes were upregulated at ventricular areas of infected mice. In addition, we report an increase of disease associated microglia genes around the A plaques, together with disbalances in neuronal expression in response to peripheral inflammation. Overall, results enlighten the mechanisms linking peripheral inflammation to AD.

2023-07-15 | GSE218360 | GEO

DNA methylation data from brain samples of human subjects with Huntington's disease

Project description:Human DNA methylation Beadchip v1.2 was used to profile n=475 samples from various brain regions of subjects with Huntington's disease and control samples. The main goal of the study was to relate Huntington's disease status to measures of epigenetic age acceleration based on DNA methylation data. To measure DNA methylation age, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928.

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BBBomics - Human Blood Brain Barrier Transcriptomics Hub [RNA-seq]

Project description:Functional and structural dysfunction of the blood brain barrier (BBB) leads to severe alterations in brain physiology and is believed to trigger neurodegeneration. To investigate the molecular mechanisms driving the BBB dysfunction, very few human BBB cell culture models are available; of which, the human microvascular endothelial cell line (hCMEC/D3) is the most widely used. Thus far, array-based approaches or targeted seqeuncing based approaches have been employed to characterize the gene expression of the hCMEC/D3 model. However,The goal of this study is to perform deep transcriptomic sequencing of the BBB cell line and obtain features like gene expression, expressed single nucleotide variants, alternate splice forms, circular RNAs, long non-coding RNAs and micro RNAs. We have developed blood brain barriers transcriptomics landscape using RNA sequencing and micro RNA seqeuncing data obtained from replicates of hCMEC/D3 BBB cell line.

2016-03-17 | E-GEOD-76528 | biostudies-arrayexpress

BBBomics - Human Blood Brain Barrier Transcriptomics Hub [miRNA-seq]

Project description:Functional and structural dysfunction of the blood brain barrier (BBB) leads to severe alterations in brain physiology and is believed to trigger neurodegeneration. To investigate the molecular mechanisms driving the BBB dysfunction, very few human BBB cell culture models are available;of which, the human microvascular endothelial cell line (hCMEC/D3) is the most widely used. Thus far, array-based approaches or targeted seqeuncing based approaches have been employed to characterize the gene expression of the hCMEC/D3 model. However,The goal of this study is to perform deep transcriptomic sequencing of the BBB cell line and obtain features like gene expression, expressed single nucleotide variants, alternate splice forms, circular RNAs, long non-coding RNAs and micro RNAs. We have developed blood brain barriers transcriptomics landscape using RNA and micro RNA sequencing data obtained from replicates of hCMEC/D3 BBB cell line.

2016-03-17 | E-GEOD-76530 | biostudies-arrayexpress

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