Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Deconstructing the Intercellular Interactome in Vascular Dementia with Focal Ischemia for Therapeutic Applications

ABSTRACT: Deconstructing the Intercellular Interactome in Vascular Dementia with Focal Ischemia for Therapeutic Applications

PROVIDER: PRJNA1271325 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Deconstructing the Intercellular Interactome in Vascular Dementia with Focal Ischemia for Therapeutic Applications

Project description:Vascular dementia (VaD), the second-leading cause of dementia, is primarily a white matter ischemic disease with no direct therapies. Cell-cell interactions within lesion sites dictate disease progression or repair. To elucidate key intercellular pathways, we employed a VaD mouse model with focal ischemia replicating many elements of the complex pathophysiology of human VaD, combined with transcriptomic and functional analyses. Integrating cell-type-specific mouse VaD transcriptomes and human VaD snRNA-Seq data, plus a custom ligand-receptor database (4,053 human and 2,032 mouse pairs), conserved dysregulated intercellular pathways in both species were identified. We demonstrate that two intercellular signaling systems, Serpine2-Lrp1 and CD39-A3AR, are disrupted in VaD. Reduced Serpine2 expression enhances oligodendrocyte progenitor cell (OPC) differentiation, promoting repair, while an A3AR-specific agonist—currently in clinical trials for psoriasis—restores tissue integrity and behavioral function in the VaD model. This study reveals intercellular signaling targets and provides a foundation for developing innovative therapies for VaD.

2025-07-07 | GSE298799 | GEO

Aging, Dementia, and TBI Study

Project description:Aging, Dementia, and TBI Study

| PRJNA413517 | ENA

Dementia Comparison: VaD vs. AD vs. Controls

Project description:Gene expression profiling was performed on frontal and temporal cortex from vascular dementia (VaD), Alzheimer's disease (AD), and non-demented controls (Control) obtained from the University of Michigan Brain Bank. Controls and AD cases had no infarcts in the autopsied hemisphere. Vascular dementia cases had low Braak staging.

2019-04-23 | GSE122063 | GEO

Methylation arrays (MethylationEPIC) of peripheral blood of individuals with evolving dementia

Project description:DNA methylation changes have been associated to dementia and cognitive decline. However, it is not clear if these changes arise before or during the onset of the pathologies. Here, using Illumina's MethylationEPIC array technology, we have profiled the methylomes of elderly, cognitively healthy individuals which go on to develop dementia or stay cognitively healthy. The subjects are profiled at a pre-diagnosis stage and at 4 year follow-up post-diagnosis.

2022-04-25 | E-MTAB-10600 | biostudies-arrayexpress

Deconstructing lincRNA regulation during ESC to NPC differentiation

Project description:Deconstructing lincRNA regulation during ESC to NPC differentiation

| PRJNA420368 | ENA

Deconstructing cold-induced brown adipocyte neogenesis in mice

Project description:Deconstructing cold-induced brown adipocyte neogenesis in mice

| PRJNA856725 | ENA

Focal epilepsy human surgical samples

Project description:Focal epilepsy human surgical samples

| PRJNA941830 | ENA

Focal Adhesion Kinase Dependent Expression

Project description:The goal of this study was to identify transcripts, which are differentially regulatulated in the presence and absence of Focal Adhesion Kinase. As Focal Adhesion Kinase activity can depend upon cell density (Snijder et al. Nature 2009), biological replicates where cells, were seeded very sparsely or confluently, were used. Focal Adhesion Kinase Knockout (ATCC CRL-2644) and Rescue Cells (Sieg et al. 1998, clone DA2) were seeded at two different concentrations. Replicas refer to biological replicates, performed on different days. Only one single technical replicate has been done per biological replicate.

2013-09-17 | E-GEOD-43873 | biostudies-arrayexpress

A Study of Small RNAs from Cerebral Neocortex of Pathology-Verified Alzheimer’s Disease, Dementia with Lewy Bodies, Hippocampal Sclerosis, Frontotemporal Lobar Dementia, and Non-Demented Human Controls

Project description:MicroRNAs (miRNAs) are small (20-22 nucleotides) regulatory non-coding RNAs that strongly influence gene expression. Most prior studies addressing the role of miRNAs in neurodegenerative diseases (NDs) have focused on individual controls (n = 2), AD (n = 5), dementia with Lewy bodies (n = 4), hippocampal sclerosis of aging (n = 4), and frontotemporal lobar dementia (FTLD) (n = 5) cases, together accounting for the most prevalent ND subtypes. All cases had short postmortem intervals, relatively high-quality RNA, and state-of-the-art neuropathological diagnoses. The resulting data (over 113 million reads in total, averaging 5.6 million reads per sample) and secondary expression analyses constitute an unprecedented look into the human cerebral cortical miRNome at single nucleotide resolution. While we find no apparent changes in isomiR or miRNA editing patterns in correlation with ND pathology, our results validate and extend previous miRNA profiling studies with regard to quantitative changes in NDs. In agreement with this idea, we provide independent cohort validation for changes in miR-132 expression levels in AD (n = 8) and FTLD (n = 14) cases when compared to controls (n = 8). The identification of common and ND-specific putative novel brain miRNAs and/or short-hairpin molecules is also presented. The challenge now is to better understand the impact of these and other alterations on neuronal gene expression networks and neuropathologies. Using RNA deep sequencing, we sought to analyze in detail the small RNAs (including miRNAs) in the temporal neocortex gray matter from non-demented controls (n = 2), AD (n = 5), dementia with Lewy bodies (n = 4), hippocampal sclerosis of aging (n = 4), and frontotemporal lobar dementia (FTLD) (n = 5) cases, together accounting for the most prevalent ND subtypes.

2013-04-18 | E-GEOD-46131 | biostudies-arrayexpress

Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data

Project description:Alzheimer’s disease (AD) is the most common subtype of dementia, followed by Vascular Dementia (VaD), and Dementia with Lewy Bodies (DLB). Recently, microRNAs (miRNAs) have received a lot of attention as the novel biomarkers for dementia. Here, using serum miRNA expression of 1,601 Japanese individuals, we investigated potential miRNA bio- markers and constructed risk prediction models, based on a supervised principal component analysis (PCA) logistic regression method, according to the subtype of dementia. The final risk prediction model achieved a high accuracy of 0.873 on a validation cohort in AD, when using 78 miRNAs: Accuracy = 0.836 with 86 miRNAs in VaD; Accuracy = 0.825 with 110 miRNAs in DLB. To our knowledge, this is the first report applying miRNA-based risk pre- diction models to a dementia prospective cohort. Our study demonstrates our models to be effective in prospective disease risk prediction; and with further improvement may contribute to practical clinical use in dementia.

2019-02-26 | GSE120584 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data