Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Study of the pathology and the underlying molecular mechanism of tissue injury around hematoma following intracerebral hemorrhage

ABSTRACT: Study of the pathology and the underlying molecular mechanism of tissue injury around hematoma following intracerebral hemorrhage

PROVIDER: PRJNA718547 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Study of the pathology and the underlying molecular mechanism of tissue injury around hematoma following intracerebral hemorrhage

Project description:We compare the perihematoma tissues before and after intracerebral hemorrhage in rats. Gene Ontology functional annotation, Protein interaction network analysis, reverse transcription quantitative PCR technology, Western blot technology, immunofluorescence technology and Causal network analysis are used to detect the changes of RET before and after intracerebral hemorrhage and the pathways in which RET might be involved.

2021-03-31 | GSE171144 | GEO

Examining Transcriptomic Alterations in Rat Models of Intracerebral Hemorrhage and Severe Intracerebral Hemorrhage

Project description:Intracerebral hemorrhage (ICH) is a life-threatening condition associated with significant morbidity and mortality. Understanding the molecular mechanisms underlying ICH and its severe form is crucial for developing effective therapeutic strategies. This study investigates transcriptomic alterations in rodent models of ICH and severe intracerebral hemorrhage to shed light on the genetic pathways involved in hemorrhagic brain injury. We performed principal component analysis, revealing distinct principal component segments of normal rats compared to intracerebral hemorrhage and severe intracerebral hemorrhage rats. We further employed heatmaps and volcano plots to identify differentially expressed genes and utilized bar plots and KEGG pathway analysis to elucidate the different molecular pathways involved. Using comprehensive RNA sequencing and bioinformatics analyses, we identified a multitude of differentially expressed genes in both the ICH and severe ICH models. Our results revealed 5679 common genes among the normal, intracerebral hemorrhage, and severe intracerebral hemorrhage groups in the upregulated genes group, and 1196 common genes in the downregulated genes. A volcano plot comparing the groups further highlighted common genes, including PDPN, TIMP1, SERPINE1, TUBB6, and CD44. These findings underscore the complex interplay of genes involved in inflammation, oxidative stress, and neuronal damage. Furthermore, pathway enrichment analysis uncovered key signaling pathways, including the TNF signaling pathway, protein processing in the endoplasmic reticulum, MAPK signaling pathway, and Fc gamma R-mediated phagocytosis, implicated in the pathogenesis of ICH.

2024-06-11 | GSE264394 | GEO

Analysis of Age-Dependent Transcriptomic Changes in Response to Intracerebral Hemorrhage in Mice

Project description:To investigate age-dependent transcriptomic changes between young or aged intracerebral hemorrhage mice, we established collagenase IV-induced intracerebral hemorrhage mice models. Intracerebral hemorrhage was induced by infusion of sterile collagenase IV in ipsilateral caudate putamen of brain. We then performed gene expression profiling analysis using data obtained from RNA-seq of brain perihematomal tissues from young or aged ICH mice 24 hours after intracerebral hemorrhage.

2022-04-29 | GSE200575 | GEO

Gut microbiota dysbiosis and neurological function recovery after intracerebral hemorrhage [16S rRNA-Seq]

Project description:We aimed to investigate the microbial community composition in patients with intracerebral hemorrhage (ICH) and its effect on prognosis. The relationship between changes in bacterial flora and the prognosis of spontaneous cerebral hemorrhage was studied in two cohort studies. Fecal samples from healthy volunteers and patients with intracerebral hemorrhage were subjected to 16S rRNA sequencing at three time points: T1 (within 24 hours of admission), T2 (3 days post-surgery), and T3 (7 days post-surgery) using Illumina high-throughput sequencing technology.

2024-08-22 | E-MTAB-14351 | biostudies-arrayexpress

Leukocyte dynamics after intracerebral hemorrhage in a living patient reveal rapid adaptations to tissue milieu

Project description:Intracerebral hemorrhage (ICH) is a devastating form of stroke with a high mortality rate and few treatment options. Discovery of therapeutic interventions has been slow given the challenges associated with studying acute injury, particularly over time, in the human brain. Inflammation induced by exposure of brain tissue to blood appears to be a major part of brain tissue injury. Here we longitudinally profiled blood and cerebral hematoma effluent from a patient enrolled in the Minimally Invasive Surgery with Thrombolysis in Intracerebral Haemorrhage Evacuation (MISTIEIII) trial, offering a rare window into the local and systemic immune responses to acute brain injury. Using single-cell RNA-sequencing, we characterized the local cellular response during ICH in the brain of a living patient at single-cell resolution for the first time. Our analysis revealed rapid shifts in the activation states of myeloid and T cells in the brain over time, suggesting that leukocyte responses are dynamically reshaped by the hematoma microenvironment. Interestingly, the patient had an asymptomatic re-bleed (second local exposure to blood) that our transcriptional data indicated occurred more than 30 hours prior to detection by CT scan. This case highlights the rapid immune dynamics in the brain after ICH and suggests that sensitive methods like scRNA-seq can inform our understanding of complex intracerebral events.

2021-06-02 | GSE166638 | GEO

Transcriptome sequencing of human brain tissue after intracerebral hemorrhage

Project description:We used tissue bulk RNA-seq to analyze gene expression profile in the brain after intracerebral hemorrhage.

2021-09-01 | GSE167758 | GEO

Examining Transcriptomic Alterations in Rat Models of Intracerebral Hemorrhage and Severe Intracerebral Hemorrhage

Project description:Examining Transcriptomic Alterations in Rat Models of Intracerebral Hemorrhage and Severe Intracerebral Hemorrhage

| PRJNA1102337 | ENA

Development of gene expression signatures in experimental intracerebral hemorrhage

Project description:To identify the potential lncRNA and mRNA post intracerebral hemorrhage (ICH), we have employed lncRNA microarray expression profiling. 570 mRNAs and 313 lncRNAs were identified in the ICH vs sham group .Expression of six mRNA (Saa3, Col10a1, Mmp13, Oxt, Pcdhb6 and Resp18) and lncRNA (ENSMUT00000141700, AK143011, ENSMUT00000128306, AK030988, ENSMUST00000187076 and ENSMUST00000134129) from this signature was quantified by qPCR.

2023-05-17 | GSE227683 | GEO

Gene Discovery for Warfarin-Related Intracerebral Hemorrhage

Project description:Gene Discovery for Warfarin-Related Intracerebral Hemorrhage

| PRJNA75953 | ENA

Identification of inflammation-related microRNAs deregulated in the plasma from intracerebral hemorrhage patients

Project description:We tested the hypothesis that circulating microRNAs (miRNAs) present in plasma might display a specific signature in patients with intracerebral hemorrhage (ICH). Global miRNA profiles were determined with the Agilent Human miRNA Microarray platform, 027233. ICH patients display a characteristic inflammation-related miRNA profile as compared to healthy controls.

2013-01-19 | GSE43618 | 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