Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA75955 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene Discovery for Warfarin-Related Intracerebral Hemorrhage
| PRJNA75953 | ENA
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
Project description:Identification of inflammation-related microRNAs deregulated in the plasma from intracerebral hemorrhage patients
| PRJNA186845 | ENA
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
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
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
Project description:We used tissue bulk RNA-seq to analyze gene expression profile in the brain after intracerebral hemorrhage.
2021-09-01 | GSE167758 | GEO
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
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
2010-09-25 | GSE24338 | GEO
Project description:Kynureninase is a member of a large family of catalytically diverse but structurally homologous pyridoxal 5'-phosphate (PLP) dependent enzymes known as the aspartate aminotransferase superfamily or alpha-family. The Homo sapiens and other eukaryotic constitutive kynureninases preferentially catalyze the hydrolytic cleavage of 3-hydroxy-l-kynurenine to produce 3-hydroxyanthranilate and l-alanine, while l-kynurenine is the substrate of many prokaryotic inducible kynureninases. The human enzyme was cloned with an N-terminal hexahistidine tag, expressed, and purified from a bacterial expression system using Ni metal ion affinity chromatography. Kinetic characterization of the recombinant enzyme reveals classic Michaelis-Menten behavior, with a Km of 28.3 +/- 1.9 microM and a specific activity of 1.75 micromol min-1 mg-1 for 3-hydroxy-dl-kynurenine. Crystals of recombinant kynureninase that diffracted to 2.0 A were obtained, and the atomic structure of the PLP-bound holoenzyme was determined by molecular replacement using the Pseudomonas fluorescens kynureninase structure (PDB entry 1qz9) as the phasing model. A structural superposition with the P. fluorescens kynureninase revealed that these two structures resemble the "open" and "closed" conformations of aspartate aminotransferase. The comparison illustrates the dynamic nature of these proteins' small domains and reveals a role for Arg-434 similar to its role in other AAT alpha-family members. Docking of 3-hydroxy-l-kynurenine into the human kynureninase active site suggests that Asn-333 and His-102 are involved in substrate binding and molecular discrimination between inducible and constitutive kynureninase substrates.
| S-EPMC2531291 | biostudies-literature