Differential expression and correlation analysis of global transcriptome for hemorrhagic transformation after acute ischemic stroke
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PROVIDER: PRJNA819994 | ENA |
REPOSITORIES: ENA
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Project description:In order to explore the epigenetic characteristics of hemorrhagic transformation(HT) after acute ischemic stroke, we used transcriptome sequencing technology to analyze the global transcriptome expression profile of patients with and without HT after acute ischemic stroke and to study the differential expression of messenger RNA (mRNA), long noncoding RNA (lncRNA), and circular RNA (circRNA) between HT group and non-HT group.
2022-03-30 | GSE199435 | GEO
Project description:Cluster analysis using nonlinear dimensionality reduction ([tSNE]) revealed the differences in global gene expression profiles of healthy and injured striatum, and identified clusters of cells with unique genetic signatures in both ischemic brain and hemorrhagic brain. Genes with p-value < 0.05 and fold change ≥1.5 were regarded as differentially expressed genes (DEGs). For astrocytes, 135 DEGs were downregulated in hemorrhagic stroke compared to ischemic stroke. The secondary profiling of astrocytic subtypes yielded 10 different subtypes with distinct functional cell identities. For microglia, tSNE map indicated the distribution and proportion of microglia/macrophage were very similar in in the ischemic and hemorrhagic stroke models. We obtained 75 DEGs in total (hemorrhagic stroke vs. ischemic stroke, 54 were upregulated, 21 were downregulated) .
2021-10-31 | GSE167593 | GEO
Project description:Hemorrhagic transformation (HT), which occurs with or without reperfusion treatments (thrombolysis and/or thrombectomy), deteriorates the outcomes of ischemic stroke patients. It is essential to find clinically reliable biomarkers that can predict HT. In this study, we screened for potential serum biomarkers from an existing blood bank and database with 243 suspected acute ischemic stroke (AIS) patients. A total of 37 patients were enrolled, who were diagnosed as AIS but did not receive reperfusion treatment. They were divided into two groups based on whether they accompanied with HT or not (5 HT and 32 non-HT). Serum samples were labeled by isobaric tags for relative and absolute quantitation (iTRAQ) and analyzed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) and compared under NCBInr database. A total of 647 proteins in sera samples were captured and the levels of 17 proteins (12 up-regulated and 5 down-regulated) were significantly different. These differentially expressed proteins were further categorized with Gene Ontology functional classification annotation and Kyoto Encyclopedia of Genes and Genomes metabolic pathway analysis into biological processes. Further protein-protein interaction analysis using String database discovered that, among the differential expressed proteins, 10 pairs of proteins were found to have crosstalk connections, which may have direct (physical) and indirect (functional) interactions for the development of HT. Our findings suggest that these differentially expressed proteins could serve as potential biomarkers for predicting HT after ischemic stroke.
2021-10-12 | PXD026950 | Pride
Project description:The purpose of this project was to elucidate gene expression in the peripheral whole blood of acute ischemic stroke patients to identify a panel of genes for the diagnosis of acute ischemic stroke. Peripheral blood samples were collected in Paxgene Blood RNA tubes from stroke patients who were >18 years of age with MRI diagnosed ischemic stroke and controls who were non-stroke neurologically healthy. The results suggest a panel of genes can be used to diagnose ischemic stroke, and provide information about the biological pathways involved in the response to acute ischemic stroke in humans. Total RNA extracted from whole blood in n=39 ischemic stroke patients compared to n=24 healthy control subjects.
2010-06-08 | E-GEOD-16561 | biostudies-arrayexpress
Project description:We performed a genome-wide methylation study in whole-blood DNA from 404 ischemic stroke patient cohort, distributed across 3 ischemic stroke subtypes: Large-artery atherosclerosis (n=132), Small-artery disease (n=141) and Cardio embolic (n=127) . Illumina HumanMethylation450 BeadChip array was used to measure DNA methylation in CpG sites. We performed a genome-wide methylation study in whole-blood DNA from 185 ischemic stroke patient cohort. Illumina HumanMethylation450 BeadChip array was used to measure DNA methylation in CpG sites.
2015-08-19 | GSE69138 | GEO
Project description:Analysis of microglial gene expression profiles after ischemic stroke. Stroke is a complicated disease caused by the interaction of multiple celltypes. Results provide new insights into the molecular mechanisms underlying microglial activation after ischemic stroke.
2022-01-01 | GSE172456 | GEO
Project description:The proteome of cerebral thrombi from patients recanalized by mechanical thrombectomy in an acute phase of stroke was carried out to determine biomarkers of stroke radio-clinical outcomes for stroke physicians (clinical outcome and mortality at 3 months, intracranial hemorrhagic transformation, etc.). Proteome of cerebral thrombi was also used to elucidate stroke physiopathology (paradoxical effect of glucose in acute phase of stroke) and evaluate recanalization treatments (intravenous thrombolysis by rt-PA and/or thrombectomy efficiency). Retro-MATISSE (Molecular Analysis of Thrombus in Ischemic Stroke prognosiS and Etiology) database was incremented by proteomic analyses of cerebral thrombi successfully retrieved from all consecutive stroke patients (n=47) with large vessel occlusion treated by mechanical thrombectomy in acute phase between December 2020 and May 2021 in the intensive care stroke unit of the University Hospital of Marseille (France).
2024-01-28 | PXD048933 | Pride
Project description:The purpose of this project was to elucidate gene expression in the peripheral whole blood of acute ischemic stroke patients to identify a panel of genes for the diagnosis of acute ischemic stroke. Peripheral blood samples were collected in Paxgene Blood RNA tubes from stroke patients who were >18 years of age with MRI diagnosed ischemic stroke and controls who were non-stroke neurologically healthy. The results suggest a panel of genes can be used to diagnose ischemic stroke, and provide information about the biological pathways involved in the response to acute ischemic stroke in humans.
2010-06-01 | GSE16561 | GEO
Project description:Stroke remains a major leading cause of death and disability worldwide. Despite continuous advances, the identification of key molecular signatures of ischemic stroke within the hyper-acute phase of the disease is still of primary interest for a real translational research on stroke diagnosis, prognosis and treatment. High-throughput - omics technologies are enabling large-scale studies on stroke pathology at different molecular levels. Data integration resulting from these -omics approaches is becoming crucial to unravel the interactions among all different molecular elements and highly contribute to interpret all findings in a complex biological context. Here, we have used advanced data integration methods for multi-level joint analysis of transcriptomics and proteomics datasets depicted from the mouse brain 2h after cerebral ischemia. By modeling network-like correlation structures, we identified a set of differentially expressed genes and proteins by ischemia with a relevant association in stroke pathology. The ischemia-induced deregulation of 10 of these inter-correlated elements was successfully verified in a new cohort of ischemic mice, and changes in their expression pattern were also evaluated at a later time-point after cerebral ischemia. Of those, CLDN20, GADD45G, RGS2, BAG5 and CTNND2 were highlighted and evaluated as potential blood biomarkers of cerebral ischemia in blood samples from ischemic and sham-control mice and from ischemic strokes and other patients presenting stroke-mimicking conditions. Our findings indicated that CTNND2 and GADD45G levels in blood within the first hours after ischemic stroke might be potentially useful to discriminate ischemic strokes from mimics and to predict patients’ poor outcome after stroke, respectively. In summary, we have here used for the first time an integrative approach to elucidate by means of biostatistical tools key elements of the initial stages of the stroke pathophysiology, highlighting new outstanding proteins that might be further considered as blood biomarkers of ischemic stroke.
2020-09-02 | PXD016538 | Pride
Project description:Ischemic Stroke Genetics Study (ISGS)
| PRJNA75377 | ENA