Heteroresistance in cryptococcal meningitis
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB28390 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR2788270.fastq.gz | Fastqsanger.gz | |||
| ERR2788280.fastq.gz | Fastqsanger.gz | |||
| ERR2788290.fastq.gz | Fastqsanger.gz | |||
| ERR2788300.fastq.gz | Fastqsanger.gz | |||
| ERR2788310.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 65 |
Similar Datasets
Project description:CircRNAs are a recently well-known regulator that mediates a variety of biological processes. Cryptococcus neoformans is an environmental fungal pathogen that can cause fatal cryptococcal meningitis in immunocompromised individuals. However, the involvement of circRNA in cryptococcal infection remains unclear. In this study, high‐throughput microarray was performed to identify the circRNA expression profile in cryptococcal meningitis patients.
2020-12-07 | GSE159601 | GEO
Project description:Quantitative proteomics of cryptococcal meningitis brain tissues and control brain tissues was carried out to study the host factors that are activated and differentially regulated in response to infection. Proteins isolated from infected brain tissues were subjected to trypsin digestion and then labeled using 4-plex iTRAQ labels. iTRAQ labeled peptides were subjected to fractionation by SCX. All the fractions were analyzed on the high resolution Orbitrap Velos mass spectrometer.
2015-07-22 | PXD000458 | Pride
Project description:to identify transcriptomic biomarker pathways in peripheral blood that are associated with or predict the development of death or fatal C-IRIS among patients with CM who were enrolled in the Cryptococcal Optimal ART Timing (COAT) Trial.
2021-03-01 | GSE162914 | GEO
Project description:Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis
| PRJNA683803 | ENA
Project description:Tuberculous meningitis is one of the fatal forms of extra pulmonary disease associated with high mortality and severe neurological defects in affected individuals. We have carried out transcriptome level analysis using whole human genome microarrays to identify differential expression of genes between tuberculous meningitis and normals. In our gene expression analysis, we found 2,434 genes that were differentially erexpressed with 2 or more than 2 fold changes between tuberculous meningitis compared to normal cases. Most of the genes encoded many of the proteins, which involves metabolism, energy pathways, cell growth and/or maintenance, transport and cell communication and signal transduction. We have performed immunohistochemistry for the validation of some of the novel candidates identified in our microarray studies.!Series_overall_design = Present study carried out mRNA expression profiling of five samples from patients diagnosed with tuberculous meningitis and four head injury cases were used as controls. We have used 4X44K arrays from agilent plaform. To validate our microarray results, we have done Immunohistochemistry on 15 TBM cases with control groups.
2011-07-01 | GSE23074 | GEO
Project description:Tuberculous meningitis is one of the fatal forms of extra pulmonary disease associated with high mortality and severe neurological defects in affected individuals. We have carried out transcriptome level analysis using whole human genome microarrays to identify differential expression of genes between tuberculous meningitis and normals. In our gene expression analysis, we found 2,434 genes that were differentially erexpressed with 2 or more than 2 fold changes between tuberculous meningitis compared to normal cases. Most of the genes encoded many of the proteins, which involves metabolism, energy pathways, cell growth and/or maintenance, transport and cell communication and signal transduction. We have performed immunohistochemistry for the validation of some of the novel candidates identified in our microarray studies.!Series_overall_design = Present study carried out mRNA expression profiling of five samples from patients diagnosed with tuberculous meningitis and four head injury cases were used as controls. We have used 4X44K arrays from agilent plaform. To validate our microarray results, we have done Immunohistochemistry on 15 TBM cases with control groups. Present study carried out mRNA expression profiling of five samples from patients diagnosed with tuberculous meningitis and four head injury cases were used as controls. We have used 4X44K arrays from agilent plaform. To validate our microarray results, we have done Immunohistochemistry on 15 TBM cases with control groups.!Series_type = Expression profiling by array
2011-06-30 | E-GEOD-23074 | biostudies-arrayexpress
Project description:Background: Meningitis can be caused by several viruses and bacteria. Identifying the causative pathogen as quickly as possible is crucial to initiate the most optimal therapy, as acute bacterial meningitis is associated with a significant morbidity and mortality. Bacterial meningitis requires antibiotics, as opposed to enteroviral meningitis, which only requires supportive therapy. Clinical presentation is usually not sufficient to differentiate between viral and bacterial meningitis, thereby necessitating cerebrospinal fluid (CSF) analysis by PCR and/or time-consuming bacterial cultures. However, collecting CSF in children is not always feasible and a rather invasive procedure. Methods: In 12 Belgian hospitals, we obtained acute blood samples from children with signs of meningitis (49 viral and 7 bacterial cases). (aged between 3 months and 16 years). After pathogen confirmation on CSF, the patient was asked to give a convalescent sample after recovery. 3’mRNA sequencing was performed to determine differentially expressed genes (DEGs) to create a host transcriptomic profile. Results: Enteroviral meningitis cases displayed the largest upregulated fold change enrichment in type I interferon production, response and signaling pathways. Patients with bacterial meningitis showed a significant upregulation of genes related to macrophage and neutrophil activation. We found several significantly DEGs between enteroviral and bacterial meningitis. Random forest classification showed that we were able to differentiate enteroviral from bacterial meningitis with an AUC of 0.982 on held-out samples. Conclusions: Enteroviral meningitis has an innate immunity signature with type 1 interferons as key players. Our classifier, based on blood host transcriptomic profiles of different meningitis cases, is a possible strong alternative for diagnosing enteroviral meningitis.
2019-06-27 | GSE133378 | GEO
Project description:Brain-infiltrating CD4 T cells drive inflammatory microglia proliferation during cryptococcal meningitis in mice
| PRJNA1092069 | ENA
Project description:Expression profiles of circRNAs in peripherial blood mononuclear cells from cryptococcal meningitis and healthy individuals.
| PRJNA669854 | ENA
Project description:Cryptococcus neoformans is a major cause of fungal meningitis in immunocompromised individuals worldwide. Studies have categorized the transcriptome of Cryptococcus under various stresses, such as temperature, nitric oxide, iron, antifungal drugs and macrophages. However, an accurate and comprehensive transcriptome profiling of C. neoformans in the human host may allow an even better understanding of its survival and disease production. In this study, we isolated RNA from yeast cells taken directly from CSF of two individuals with cryptococcal meningitis. RNA-Seq was used to generate and compare transcriptional profiles from those yeast cells exposed to three environmental conditions. Under same conditions, similar expression patterns were found between the two strains with different genotypes. Yeast cells from in vivo CSF appear to be more metabolically active compared to those exposed to ex vivo CSF. Moreover, genes that were identified as significantly up-regulated in both ex vivo CSF and in vivo CSF conditions compared with growth in YPD appear to be important for the virulence of Cryptococcus. In the central nervous system, differentially expressed genes, single nucleotide variants and novel genes between strains were identified to emphasize that strains have consensus expression patterns but they do have their unique features. Genes with transporter functions were found to be enriched in the regulated transcripts demonstrating this important function of yeasts under host stress. These findings provide the platform for further interrogation into how this yeast survives in humans to provide identification of possible antifungal target(s) and/or genetic signatures to predict outcome. Examination of mRNA expression levels under three different conditions of two different strains with different genotypes
2013-11-10 | E-GEOD-51573 | biostudies-arrayexpress