Human blood metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB10635 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To further development of our miRNA diagnostic approach to Kawasaki disease(KD), we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs as the potential biomarkers to rapidly diagnose Kawasaki disease. Pooled exosome of serum in equal amount from 5 healthy children, 5 KD patients and 5 KD patients after Intravenous immunoglobulin (IVIG) therapy were used for microRNA microarray analysis. MicroRNA profile of exosome from Kawasaki disease(KD) was analyzed by microRNA microarray analysis in 5 healthy children, 5 KD patients and 5 KD patients after IVIG therapy.
2014-09-03 | E-GEOD-60965 | biostudies-arrayexpress
Project description:To further development of our miRNA diagnostic approach to Kawasaki disease(KD), we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs as the potential biomarkers to rapidly diagnose Kawasaki disease. Pooled exosome of serum in equal amount from 5 healthy children, 5 KD patients and 5 KD patients after Intravenous immunoglobulin (IVIG) therapy were used for microRNA microarray analysis.
2014-09-03 | GSE60965 | GEO
Project description:Metagenomic analysis of biological samples collected from patients with Kawasaki disease.
| PRJDB7117 | ENA
Project description:Multisystem inflammatory syndrome in children (MIS-C) occurs in some children approximately 2-6 weeks following infection with SARS-CoV-2. Clinical symptoms are highly overlapping with Kawasaki disease (KD) and bacterial (DB) and viral (DV) infections, making diagnosis particularly challenging. Host whole blood transcriptomics can reveal specific combinations of host genes whose expression patterns can distinguish between disease groups of interest. We performed whole blood RNA-Sequencing of individuals with MIS-C, KD, bacterial and viral infections to identify a number of host genes that, when combined, could be used to diagnose MIS-C. This data contains processed data only. Raw data will be available via a controlled access archive.
2023-06-27 | E-MTAB-12793 | biostudies-arrayexpress
Project description:While fewer cases of severe Coronavirus Disease 2019 (COVID-19) are reported globally in children, a small proportion of SARS-CoV-2 infected children develop a novel pediatric febrile entity called multisystem inflammatory syndrome in children (MIS-C) that develops 2 to 5 weeks after initial SARS-CoV-2 exposure. MIS-C primarily effects male children and children of Hispanic or black descent. MIS-C manifests as a severe and uncontrolled inflammatory response with multiorgan involvement. A hyperinflammatory state is evidenced by clinical makers of inflammation including high levels of C-reactive protein (CRP), ferritin, and D-dimers, and an increased expression of pro-inflammatory cytokines. Children often present with persistent fever, severe gastrointestinal symptoms, cardiovascular manifestations, respiratory symptoms and neurological symptoms6-11,13. Cardiovascular manifestations include hypotension, shock, cardiac dysfunction, myocarditis and pericardial effusion. In the united states, admission to the intensive care unit occurs in approximately 58% of cases. To understand disease pathogenesis of MIS-C and proteins associated with the severe form of disease we performed proteomics analysis of serum or plasma samples. We collected serum from healthy children (SARS-CoV-2 negative, n=20), mild MIS-C (non-ICU, n=5) and severe MIS-C (ICU, n = 20) patients. MIS-C definition and diagnosis was performed according to CDC guidelines. Healthy adult serum (n = 4) was also used for reference ranges quality control and we obtained plasma samples from Kawasaki Disease (KD; n=7) patients that were recruited before the Coronavirus Disease 2019 (COVID-19) pandemic.
2021-09-29 | PXD025462 | Pride
Project description:Kawasaki disease (KD) is the most common cause of acquired heart disease in children in developed countries. Based on single-cell RNA sequencing (scRNA-seq), we profiled peripheral blood mononuclear cells (PBMCs) from patients with acute KD before and after intravenous immunoglobulin (IVIG) therapy and from healthy controls. We identified the dynamics of cell abundance, gene expression patterns and biological processes underlying the immune dysregulation of each cell compartment. The single-cell landscape of both innate and adaptive immune responses provides new insights into pathogenesis and therapy of KD.
2021-03-12 | GSE168732 | GEO
Project description:Comprehensive Detection of Possible Pathogens Associated with Kawasaki Disease
| PRJDA72415 | ENA
Project description:blood plasma from children with kawasaki disease during illness and then ~1 year later (convalescent). blood plasma processed using Phree Kit (Phenomenox) and analyzed on a Vanquish-QExactive LC-MS system with HESI operated in positive and negative mode. Reverse phase LC was performed on a C18 column using a water - ACN gradient with 0.1% formic acid.
2019-01-31 | MSV000083388 | GNPS
Project description:MicroRNA profile of exosome from serum samples of Kawasaki disease
| PRJNA260000 | ENA
Project description:Serum samples from leukemic and allogeneic stem cell transplant patients (5C and 7d)
| PRJNA544518 | ENA