MIRSI-Mycoses
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB21872 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR2039250.fastq.gz | Fastqsanger.gz | |||
| ERR2039260.fastq.gz | Fastqsanger.gz | |||
| ERR2039270.fastq.gz | Fastqsanger.gz | |||
| ERR2039280.fastq.gz | Fastqsanger.gz | |||
| ERR2039290.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 80 |
Similar Datasets
Project description:Nowadays, there is no gold standard of sepsis diagnosis, thus there is a challenge to differentiate between shock septic and non-septic shock following a surgery, since patients with both conditions show similar signs and symptoms. In this sense, to get a quick and accurate diagnosis of septic shock is required to allow an immediate and specific treatment for this condition. In this work, we have evaluated the expression profile by microarray analysis from post-surgical septic shock and non-septic shock patients with the aim of proposing a candidate set genes as gold standard to help in distinguishing both conditions.
2020-08-16 | GSE131761 | GEO
Project description:Goal of the experiment: To identify correlated genes, pathways and groups of patients with systemic inflammatory response syndrome and septic shock that is indicative of biologically important processes active in these patients. Background: We measured gene expression levels and profiles of children with systemic inflammatory response syndrome (SIRS) and septic shock as a means for discovering patient sub-groups and gene signatures that are active in disease-affected individuals and potentially in patients with poor outcomes. Methods: Microarray and bioinformatics analyses of 123 microarray chips representing whole blood derived RNA from controls, children with SIRS, and children with septic shock. Results: A discovery-based filtering approach was undertaken to identify genes whose expression levels were altered in patients with SIRS or septic shock. Clustering of these genes identified 3 Major and several minor sub-groups of patients with SIRS or septic shock. The three groups differed with respect to incidence of septic shock and trended toward differences in mortality. Statistical analyses demonstrated that 6,435 gene probes were differentially regulated between the three patient sub-groups (false discovery rate < 0.001%). Of these gene probes, 623 gene probes within 7 major gene ontologies accounted for the majority of group differentiation. Network analyses of these 623 gene probes demonstrated 5 major gene networks that were differentially expressed between the 3 groups. Statistical comparison of septic shock survivors and non-survivors identified one major gene network that was under expressed in a high fraction of the non-survivors and identified potential biomarkers for poor outcome. Conclusions: This is the first genome-level demonstration of pediatric patient sub-groups with SIRS and septic shock. The sub-groups differ clinically and differentially express 5 major gene networks. We have identified gene signatures and potential biomarkers associated with poor outcome in children with septic shock. These data represent a major advancement in our genome-level understanding of pediatric SIRS and septic shock. Keywords: Septic shock, SIRS, pediatrics, outcome, infection, inflammation
2006-04-30 | GSE4607 | GEO
Project description:Goal of the experiment: To identify correlated genes, pathways and groups of patients with systemic inflammatory response syndrome and septic shock that is indicative of biologically important processes active in these patients. Background: We measured gene expression levels and profiles of children with systemic inflammatory response syndrome (SIRS) and septic shock as a means for discovering patient sub-groups and gene signatures that are active in disease-affected individuals and potentially in patients with poor outcomes. Methods: Microarray and bioinformatics analyses of 123 microarray chips representing whole blood derived RNA from controls, children with SIRS, and children with septic shock. Results: A discovery-based filtering approach was undertaken to identify genes whose expression levels were altered in patients with SIRS or septic shock. Clustering of these genes identified 3 Major and several minor sub-groups of patients with SIRS or septic shock. The three groups differed with respect to incidence of septic shock and trended toward differences in mortality. Statistical analyses demonstrated that 6,435 gene probes were differentially regulated between the three patient sub-groups (false discovery rate < 0.001%). Of these gene probes, 623 gene probes within 7 major gene ontologies accounted for the majority of group differentiation. Network analyses of these 623 gene probes demonstrated 5 major gene networks that were differentially expressed between the 3 groups. Statistical comparison of septic shock survivors and non-survivors identified one major gene network that was under expressed in a high fraction of the non-survivors and identified potential biomarkers for poor outcome. Conclusions: This is the first genome-level demonstration of pediatric patient sub-groups with SIRS and septic shock. The sub-groups differ clinically and differentially express 5 major gene networks. We have identified gene signatures and potential biomarkers associated with poor outcome in children with septic shock. These data represent a major advancement in our genome-level understanding of pediatric SIRS and septic shock. Experiment Overall Design: Children < 10 years of age admitted to the pediatric intensive care unit and meeting the criteria for either SIRS or septic shock were eligible for the study. SIRS and septic shock were defined based on pediatric-specific criteria. We did not use separate categories of "sepsis" or "severe sepsis". Patients meeting criteria for "sepsis" or "severe sepsis" were placed in the categories of SIRS and septic shock, respectively, for study purposes. Control patients were recruited from the outpatient or inpatient departments of the participating institutions using the following exclusion criteria: a recent febrile illness (within 2 weeks), recent use of anti-inflammatory medications (within 2 weeks), or any history of chronic or acute disease associated with inflammation. Experiment Overall Design: After obtaining informed consent, blood samples were obtained on Day 1 of the study, and when possible on Day 3 of the study. Blood samples were divided for RNA extraction and isolation of serum. Severity of illness was calculated based on the PRISM III score. Organ failure was defined based on pediatric-specific criteria. Annotated clinical and laboratory data were collected daily while in the intensive care unit. Study patients were placed in the study categories of SIRS or Septic Shock on Day 1 of the study. On Day 3 of the study, patients were classified as SIRS, Septic Shock, or SIRS resolved (no longer meeting criteria for SIRS). All study patients were followed for 28 days to determine mortality or survival. Clinical, laboratory, and biological data were entered and stored using a web-based data base developed locally.
2008-06-13 | E-GEOD-4607 | biostudies-arrayexpress
Project description:Proteome analysis of polymorphonuclear cells isolated from patients suffering with septic shock.
2021-10-21 | PXD029219 | JPOST Repository
Project description:Gene expression changes in the blood was studied by RNAseq Results: Strong differences between patients groups, specific expression changes for heathy control (Hlty), uncomplicated infection (Inf1_P), sepsis (Seps_P), septic shock (Shock_P), follow-up of sepsis (Seps_FU), follow-up of septic shock (Shock_FU) groups.
2020-12-17 | GSE154918 | GEO
Project description:The immune inflammatory responses play an important role in the occurrence and development of septic shock. We performed a detailed transcriptomic analysis of peripheral blood mononuclear cells (PBMCs) to understand the differences of immunocyte subtypes in immunoresponse and inflammation between common infections and septic shock secondary to acute cholangitis (AC). Through the screening and analysis of sequencing data, we found that there were significant differences in cell subtypes and molecular characteristics between AC and septic shock. Furthermore, we demonstrated that proNeus played a crucial role in the immunoinflammation of septic shock. Our study revealed the differentiation trajectory of neutrophils, and explored the mutual effect between main cells. In this regard, it provided a reference for accurately evaluating the pathological severity of patients with septic shock and discovering the targets for therapy.
2024-01-01 | GSE229173 | GEO
Project description:Sepsis patients experience a complex interplay of host pro- and anti-inflammatory processes which can compromise outcome. Even taking the latest clinical and scientific research data into account, the immunosuppressive events occurring during a septic episode are incompletely understood. Moreover, there is a lack of data on the way epigenetics can modulate immunosuppression, which in turn affects patient survival. To advance current understanding of the mechanisms underlying immunosuppression, in this study we explored DNA methylation changes using the Infinium MethylationEPIC v1.0 BeadChip Kit in leukocytes from patients suffering from sepsis, septic shock, and critically ill patients as controls, within the first 24 h after admission in the Intensive Care Unit of a tertiary hospital. The top 100 differentially methylated positions (DMPs) between septic shock and critically ill patients enabled us to clearly distinguish between the 3 groups of patients. Interestingly, the top 6,657 DMPs were associated with organ dysfunction and lactate levels. Two different analysis approaches (based on the use of DMRcate and mCSEA) comparing septic shock and critically ill patients revealed a total of 1,256 differentially methylated regions (DMRs) involved in critical immune system-related pathways. Among the individual genes exhibiting significant differential methylation, IL10, TREM1, IL1B, and TNFAIP8 showed the largest methylation differences among the different groups when analyzing their methylation levels by DNA bisulfite pyrosequencing. Our findings indicate that DNA methylation profile undergoes the most substantial changes in patients with septic shock, and that these changes are linked to disease severity. Importantly, IL10 and S100A8, which are closely related to immunosuppression, were hypomethylated in septic shock patients.
2023-12-18 | GSE247524 | GEO
Project description:Septic shock by pneumopathy was studied in prospective way in 20 patients before and after respective treatment by activated protein C (Xigris). Initial blood samples were taken within 12 hours of diagnosis and the resulting transcritomes were compared to samples drawn after respective treatment. keywords: patient cohort study, septic shock, transcription-profile, blood
2017-09-08 | GSE33119 | GEO
Project description:Septic shock by pneumopathy was studied in prospective way in 20 patients and compared to normal blood. Blood samples were taken within 12 hours of diagnosis and the resulting transcritomes were compared to 42 normal control samples (selected samples from series GSE10715, GSE12711, GSE16728 and GSE7400). keywords: patient cohort study, septic shock, transcription-profile, blood
2017-09-08 | GSE33118 | GEO
Project description:In an ongoing translational research program involving microarray-based expression profiles in pediatric septic shock, we have now conducted longitudinal studies focused on the temporal expression profiles of canonical signaling pathways and gene networks. Genome-level expression profiles were generated from whole blood-derived RNA samples of children with septic shock (n = 30 individual patients) corresponding to days 1 and 3 of admission to the pediatric intensive care unit. Based on sequential statistical and expression filters, day 1 and day 3 of septic shock were characterized by differential regulation of 2,142 and 2,504 gene probes, respectively, relative to normal control patients. Venn analysis demonstrated 239 unique genes in the day 1 data set, 598 unique genes in the day 3 data set, and 1,906 genes common to both data sets. Analyses targeted toward derivation of biological function from these data sets demonstrated time-dependent, differential regulation of genes involved in multiple canonical signaling pathways and gene networks primarily related to immunity and inflammation. Notably, multiple and distinct gene networks involving T cell- and MHC antigen-related biological processes were persistently downregulated from day 1 to day 3. Further analyses demonstrated large scale and persistent downregulation of genes corresponding to functional annotations related to zinc homeostasis. These data represent the largest reported cohort of patients with septic shock, which has undergone longitudinal genome-level expression profiling. The data further advance our genome-level understanding of pediatric septic shock and support novel hypotheses that can be readily tested at both the experimental and translational levels. Experiment Overall Design: To define the longitudinal, genome-level expression profile of children with septic shock.
2008-06-16 | E-GEOD-8121 | biostudies-arrayexpress