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674
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ShareScore release 0.9.0
Dataset results
674 results for “brain disease”
Gene expression in the brain of sporadic Creutzfeldt-Jakob disease patients (CJD), and normal controls (CT)
GEO Series GSE160208. Homo sapiens. 47 samples. Type: Expression profiling by array.
Evaluation of gene expression profile in postmortem brain with Alzheimer´s disease-type neuropathological changes
GEO Series GSE13214. Homo sapiens. 128 samples. Type: Expression profiling by array.
Exploring transcriptome-wide changes in the brain-localized immune cells in a mouse model of Parkinson's Disease
GEO Series GSE148784. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Differential gene expression in sporadic and genetic forms of Alzheimer’s disease and frontotemporal dementia in brain tissue and lymphoblastoid cell lines.
GEO Series GSE195872. Homo sapiens. 58 samples. Type: Expression profiling by array.
Hemispheric asymmetry in the human brain and in Parkinson’s disease is linked to divergent epigenetic patterns in neurons [RNA-seq]
GEO Series GSE135036. Homo sapiens. 36 samples. Type: Expression profiling by high throughput sequencing.
DNA methylation profiles across different brain regions in Alzheimer disease mice models
GEO Series GSE47036. Mus musculus. 16 samples. Type: Methylation profiling by genome tiling array.
Links to disease and the social environment in the aging brain transcriptome
GEO Series GSE179330. Macaca mulatta. 551 samples. Type: Expression profiling by high throughput sequencing.
The Pumilio1 brain-region specific interactome reveals a direct connection with multiple RNA binding proteins, suggesting two disease mechanisms
GEO Series GSE207031. Mus. 11 samples. Type: Non-coding RNA profiling by high throughput sequencing.
CXCR6 orchestrates brain CD8+ T cell residency and limits mouse Alzheimer’s disease pathology [scRNA-seq3]
GEO Series GSE226540. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
A single nuclear transcriptomic characterization of mechanisms responsible for impaired angiogenesis and blood-brain barrier function in Alzheimer’s disease
GEO Series GSE252921. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional analysis of multiple brain regions in Parkinson's disease
GEO Series GSE20295. Homo sapiens. 93 samples. Type: Expression profiling by array.
A disease similarity approach identifies short-lived Niemann-Pick type C disease mice with accelerated brain aging as a novel mouse model for Alzheimer’s disease and aging research
GEO Series GSE266485. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Non-Transgenic Guinea Pig Strains Exhibit Hallmarks of Human Brain Aging and Alzheimer’s Disease
GEO Series GSE198736. Cavia porcellus. 28 samples. Type: Expression profiling by high throughput sequencing.
Innate immune memory in the brain shapes neurological disease hallmarks
GEO Series GSE82170. Mus musculus. 53 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Systems-based analyses of brain regions functionally impacted in Parkinson's disease reveals underlying causal mechanisms
GEO Series GSE54282. Homo sapiens. 33 samples. Type: Expression profiling by array.
Effects of intermittent fasting on the cognitive impairment in Alzheimer's disease mice: the roles of the gut brain axis regulation mechanism
GEO Series GSE164461. Mus musculus. 55 samples. Type: Expression profiling by high throughput sequencing.
SEX-DEPENDENT APOE4 NEUTROPHIL-MICROGLIA INTERACTIONS DRIVE COGNITIVE IMPAIRMENT IN ALZHEIMER'S DISEASE [Neutrophils_Spleen_Brain_E3_E4]
GEO Series GSE243749. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
Type I Interferon Signaling Mediates Microglial Dysfunction and Senescence in Human-Mouse Chimeric Brain Models of Down Syndrome and Alzheimer’s Disease
GEO Series GSE189227. Mus musculus; Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
APOE 5'UTR methylation pattern analysis in blood and brain tissue from Alzheimer's disease affected patients
<p>The database includes the raw data of the article “APOE 5’UTR methylation pattern analysis in blood and brain tissue from Alzheimer’s disease affected patients”. The aim of this work was to determine the methylation level of two regions within APOE 5’UTR and to correlate these data with clinical features. The database comprises data obtained by the following investigations: a) Pyrosequencing analysis to evaluate the methylation levels of R1 and R2 CpG sites within APOE 5’UTR; b) Genotype assessment of both patients and healthy controls; c) RT-qPCR for the evaluation of the expression level of APOE in HIC tissue; d) Chemiluminescent enzyme immunoassay to determine the CSF levels of t-TAU, pTAU181, Aβ42 and Aβ42/Aβ40.</p> <p>A differential methylation was observed in R1 and R2 in both analyzed tissues and interestingly an increase in methylation was observed to be associated with the disease condition in R1. The increase in R1 methylation appeared to be marked when the patients genotype was ɛ4+. In both PBMC and HIC tissues the increase in R1 methylation appeared to be directly proportional to increasing age. Finally, the methylation score obtained by one CpG site in R2 proved to also be related to CSF biomarkers levels.</p> <p>The outcome highlighted a differential methylation in APOE 5’UTR at least in AD patients PBMCs which seemed to be associated also to APOE genotype, age and CSF biomarkers level.</p>
Dataset for the project "Corticocortical signal transmission and brain connectivity alterations at prodromal stage and during the progression of Alzheimer's disease: A multimodal approach of TMS-EEG and advanced MRI" (GR-2016-02364132)
<p><strong>Aim 1:</strong></p> <p><u>Validation of STT as measure of WM integrity and as diagnostic marker of AD</u>. The first step to test the potential of the STT as AD marker is to establish if the SST can differentiate between patients (LOAD, aMCI) and healthy individuals and its relationship with clinical symptoms and with well-established measures of connectivity.</p> <p> <strong>Aim 2:</strong></p> <p><u>Connectivity changes, evaluated as in aim 1, as prognostic marker of disease progression</u>. Another crucial point is to establish if STT can capture brain connectivity alterations with disease progression, if they parallel WM integrity alterations and cognitive decline. Moreover, the potential contribution of STT as prognostic marker can be established by investigating which measure, or combination of measures, of brain connectivity at the baseline best predicts the conversion to AD in aMCI cases.</p> <p> <strong>Aim3:</strong></p> <p><u>Connectivity changes in EOAD patients.</u> The comparison of connectivity alterations between EOAD and LOAD at the baseline and during the disease progression will be a crucial step to establish the efficacy of STT as a marker of differential diagnosis in atypical forms of AD.</p> <p> </p> <p><strong>The present dataset contains the following files and folders:</strong></p> <p> </p> <p>File: <strong>Demographics_allparticipants.xlsx</strong> contains demographic and clinical data of the entire sample</p> <p>File: <strong>Hippocampal volume.xlsx</strong> data used to extract hippocampal atrophy as AD biomarker</p> <p> </p> <p>Folder: <strong>Aim1</strong></p> <p>- <strong>READ ME</strong> AIM1.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data of HC, MCI and LOAD at T0 are organized in 3 files with TMS-Evoked Potentials (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of HC, MCI and LOAD at T0 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T0</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0</p> <p> </p> <p>- Folder: <strong>Aim2</strong></p> <p>- <strong>READ ME</strong> AIM2.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data are organized in one file that includes TMS-Evoked Potentials of HC, MCI and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of HC, MCI and LOAD at T1 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T1</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0 and T1</p> <p> </p> <p>Folder: <strong>Aim3</strong></p> <p> <strong>READ ME</strong> AIM2.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data are organized in two files that includes TMS-Evoked Potentials of EOAD and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of EOAD and LOAD at T0 and T1 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of EOAD and LOAD at T0 and T1</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of EOAD and LOAD at T0 and T1</p> <p> </p> <p>Restricted Access Conditions: Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.