Rattus norvegicus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA302540 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2921770.fastq.gz | Fastqsanger.gz | |||
| SRR2921771.fastq.gz | Fastqsanger.gz | |||
| SRR2921772.fastq.gz | Fastqsanger.gz | |||
| SRR2921773.fastq.gz | Fastqsanger.gz | |||
| SRR2921774.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: Traumatic brain injury (TBI) causes 10%–20% of structural epilepsies and 5% of all epilepsies. The lack of prognostic biomarkers for post-traumatic epilepsy (PTE) is a major obstacle to the development of anti-epileptogenic treatments. In this study, we conducted high throughput small RNA-Seq analysis from tail-vein plasma samples collected from a rat model of PTE to discover miRNA biomarker candidates that could serve as prognostic biomarkers for brain damage severity and the development of PTE. Methods: Epileptogenesis was induced in adult male Sprague-Dawley rats by the lateral fluid-percussion-induced TBI. Epilepsy was defined as the occurrence of at least 1 unprovoked seizure during continuous 1-month video-electroencephalography monitoring in the sixth post-TBI month. Small RNA-seq was performed from tail-vein plasma samples collected from a subset of 20 animals (4 sham-operated controls, 7 TBI rats with epilepsy, 9 TBI rats without epilepsy) at 2 days and 9 days post-TBI. RNA was extracted from 200 μl plasma using an miRNeasy Mini Kit. Small RNA-Seq was conducted by GenomeScan (Leiden, the Netherlands). Small RNA library preparation was performed using the Illumina TruSeq Small RNA Sample Prep Kit. Single-end sequencing was performed on the Illumina HiSeq 4000.
2023-02-10 | GSE222801 | GEO
Project description:Purpose: Post-traumatic epilepsy (PTE) is an epilepsy that develops after traumatic brain injury (TBI), and it comprises 10-20% of structural epilepsies and 5% of all epilepsies. The lack of prognostic biomarkers for PTE hinders the development of anti-epileptogenic treatments. In this preclinical multicenter study, plasma samples collected from a rat model of PTE were analyzed by small RNA sequencing to reveal the post-TBI expression profile of circulating microRNAs and to identify potential miRNA biomarkers for PTE development. Methods: The animal experiments were conducted at 3 different study sites: University of Eastern Finland (Finland), Monash University (Australia), and University of California, Los Angeles (USA). Severe TBI was induced in adult male Sprague-Dawley rats by the lateral fluid-percussion injury (LFPI) method. Rats that developed PTE were identified by video-EEG monitoring during the 7th post-injury month (TBI rats with epilepsy, TBIE; TBI rats without epilepsy, TBIN). Small RNA sequencing was conducted with plasma samples collected 48 hours after TBI or sham operation (craniotomy). Following the primary quantification, DESeq2 (v. 1.42.0) was used to identify differentially expressed miRNAs between the experiment groups. Results were further validated in a larger sample cohort by droplet digital PCR (ddPCR). Results: Small RNA sequencing detected a total of 754 miRNAs that were expressed in at least one sample. DESeq2 detected 23 differentially expressed (DE) miRNAs between the TBI and sham groups, 12 between the TBIE and sham groups, and 5 between the TBIN and sham groups. In contrast, no DE miRNAs were detected between the TBIE and TBIN groups. From the list of 23 DE miRNAs between the TBI and sham groups, 3 upregulated miRNAs (rno-miR-183-5p, rno-miR-323-3p, and miR-434-3p) were selected for further ddPCR validation. The list of miRNAs for validation was further complemented by 4 miRNAs (rno-miR-9a-3p, rno-miR-124-3p, rno-miR-132-3p, and rno-miR-212-3p), which were not differentially expressed in the DESeq2 analysis, but which we have previously detected to be acutely upregulated in TBI rat plasma. The validation was conducted with samples from the entire EpiBioS4Rx cohort [26 baseline samples, 45 sham, 164 TBI (32 TBIE, 132 TBIN)]. DdPCR analysis revealed that all 7 investigated miRNAs were upregulated in the TBI rats compared with the sham controls. No differences were detected between the rats with (TBIE) or without epilepsy (TBIN). In contrast, TBIE rats that had seizure clusters (severe PTE) had lower levels of plasma miR-212-3p compared with other TBI rats. Furthermore, elastic net regularized logistic regression (glmnet) analysis identified miR-212-3p and miR-132-3p as the optimal set to differentiate TBIE rats with seizure clusters from other TBI rats. Conclusions: The profile of circulating plasma microRNAs differed between TBI rats and sham controls. MiR-212-3p alone or in combination with miR-132-3p showed potential as prognostic biomarkers for development of severe PTE.
2024-12-12 | GSE279767 | GEO
Project description:Molecular markers of dedifferentiation of dysfunctional liver sinusoidal endothelial cells (LSEC), have not been fully elucidated. We aimed at deciphering the molecular profile of dysfunctional LSEC in different pathological scenarios. Flow cytometry was used to sort CD11bˉ/CD32b+ and CD11bˉ/CD32bˉLSEC from three rat models of liver disease (bile duct ligation-BDL, inhaled carbon tetrachloride-CCl4 and high fat glucose/fructose diet-HFGFD). Full proteomic profile was performed applying nano-scale liquid chromatography tandem mass spectrometry (nLC-MS) and analyzed with PEAKS software. The percentage of CD32bˉ LSEC varied across groups, suggesting different capillarization processes. Both CD32+ and CD32bˉLSEC from models are different from control LSEC but differently expressed proteins in CD32bˉLSEC are significantly higher. Heatmaps evidenced specific protein expression patterns for each model. Analysis of biological significance comparing dysfunctional CD32bˉLSEC with specialized CD32b+ LSEC from controls showed central similarities represented by 45 common downregulated proteins involved in the suppression of the endocytic machinery and 63 common upregulated proteins associated with the actin-dependent cytoskeleton reorganization. In summary, substantial differences but also similarities in dysfunctional LSEC from the three most common models of liver disease were found, supporting the idea that LSEC may harbor different protein expression profiles according to the etiology or disease stage.
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Project description:Compared to patients with no TBI history, patients with a TBI history at least one month before infectious encephalitis have an increased risk of mortality, epilepsy, and dementia or delirium. Those with a history of TBI have an increased risk of various outcomes, including mortality, epilepsy, and dementia. Bulk RNA sequencing of the hippocampus from mice subjected to CCI injury and VEEV infection demonstrated that key pathways, specifically those involved in granzyme-mediated cell death, were enriched compared to VEEV infection alone.
2024-12-01 | GSE266235 | GEO
Project description:Global expression profiling of epileptogenesis has been confounded by variability across laboratories, epilepsy models, tissue sampled and experimental platforms, with the result that very few genes demonstrate consistent expression changes. The present study minimizes these confounds by combining Affymetrix microarray datasets from seven laboratories, using three status epilepticus (SE) models of epilepsy in rats (pilocarpine, kainate, self-sustained SE or SSSE) and the rat kindling model. Total RNA was harvested from laser-captured dentate granule cells from 6 rats at three times during the early-to-mid latent phase that precedes epilepsy symptoms in the SE models (1, 3 and 10 days after SE), or 24 hr after the first stage 2, stage 4 and stage 5 seizure in the kindling model. Each epilepsy model was studied in two independent laboratories except SSSE. The initial goals of this study were to a) identify model-independent transcriptional changes in dentate granule cells that could point to novel intervention targets for epileptogenesis, b) characterize the basal transcriptional profile of dentate granule cells, and c) identify genes that have highly variable expression.
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