GEO DataSets

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

75 Samples

Download data: CEL, PDF

(Submitter supplied) Normal children, children with SIRS, children with sepsis, and children with septic shock. Objectives: To advance our biological understanding of pediatric septic shock, we measured the genome-level expression profiles of critically ill children representing the systemic inflammatory response syndrome (SIRS), sepsis, and septic shock spectrum. Keywords: Normal vs diseased

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

227 Samples

Download data: CEL, PDF

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

123 Samples

Download data: CEL, PDF

(Submitter supplied) Rationale: We previously generated genome-wide expression data in children with septic shock, based on whole blood-derive RNA, having the potential to lead the field into novel areas of investigation. Objective: Herein we seek to validate our data through a bioinformatic approach centered on a validation patient cohort. Methods: Microarray- and bioinformatics-centered analyses involving our previous data as a training data set (n = 42) and a new, validation cohort (n = 30) as the test data set. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

45 Samples

Download data: CEL

(Submitter supplied) Background: Septic shock is a heterogeneous syndrome within which probably exist several biological subclasses. Discovery and identification of septic shock subclasses could provide the foundation for the design of more specifically targeted therapies. Herein we tested the hypothesis that pediatric septic shock subclasses can be discovered through genome-wide expression profiling. Methods: Genome-wide expression profiling was conducted using whole blood-derived RNA from 98 children with septic shock, followed by a series of bioinformatic approaches targeted at subclass discovery and characterization. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4274

Platform:

GPL570

130 Samples

Download data: CEL

Analysis of whole blood from children (up to 10 years old) within 24hrs of PICU admission for septic shock. Heterogeneous clinical phenotypes stratify the septic shock patients. Results provide insight into the molecular mechanisms underlying these septic shock subgroups.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 4 development stage, 2 disease state, 4 other sets

Platform:

GPL570

Series:

GSE26440

130 Samples

Download data: CEL

(Submitter supplied) Background: Septic shock heterogeneity has important implications for the conduct of clinical trials and individual patient management. We previously addressed this heterogeneity by indentifying 3 putative subclasses of children with septic shock based on a 100-gene expression signature corresponding to adaptive immunity and glucocorticoid receptor signaling. Herein we attempted to prospectively validate the existence of these gene expression-based subclasses in a validation cohort. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4273

Platform:

GPL570

103 Samples

Download data: CEL

Analysis of whole blood from children (up to 10 years old) within 24hrs of PICU admission for septic shock. Sepsis therapies useful in adults and older children may have little effect in immunologically immature younger patients. Results provide insight into age-specific host response to sepsis.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 4 development stage, 2 disease state, 2 other sets

Platform:

GPL570

Series:

GSE26378

103 Samples

Download data: CEL

(Submitter supplied) Direct comparison of the genome-level expression patterns of THP-1 cells exposed to either LPS or heat shock Peripheral blood mononuclear cells (PBMC) serve a sentinel role allowing the host to efficiently sense and adapt to the presence of danger signals. Herein we have directly compared the genome-level expression patterns (microarray) of human PBMC (THP-1 cells) subjected to one of two canonical danger signals, heat shock and lipopolysaccharide (LPS). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

12 Samples

Download data: CEL

(Submitter supplied) Circulatory shock affects approximately one-third of all patients in the Intensive Care Unit (ICU) and it is correlated with high mortality. Septic shock (SS) and cardiogenic shock (CS) are two types of circulatory shock, with a different etiology. We aimed to assess in whole blood of CS and SS patients the transcriptomic alterations occurring over one week after ICU admission in order to identify the pathways that are modulated in circulatory shock irrespective of the etiology. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL10999 GPL16791

96 Samples

Download data: XLSX

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL22462

345 Samples

Download data: CEL

(Submitter supplied) Background: Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. To date, no biomarker has shown sufficient evidence and ease of application in clinical routine to monitor the complexity of the sepsis-related immune alterations. Multiple levels of interaction of human endogenous retroviruses (HERVs) with the immune response led us to hypothesize that they may be relevant candidates both to contribute to the physiopathology of sepsis and to be part of a molecular signature. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL22462

301 Samples

Download data: CEL

(Submitter supplied) Background: Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. To date, no biomarker has shown sufficient evidence and ease of application in clinical routine to monitor the complexity of the sepsis-related immune alterations. Multiple levels of interaction of human endogenous retroviruses (HERVs) with the immune response led us to hypothesize that they may be relevant candidates both to contribute to the physiopathology of sepsis and to be part of a molecular signature. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL22462

44 Samples

Download data: CEL

(Submitter supplied) This dataset is composed of the unique patients (276; at the Day 1 timepoint) that are present in the six other GEO datasets published by Hector Wong and the Genomics of Pediatric SIRS and Septic Shock Investigators. This dataset thus includes all unique patients from GSE4607, GSE8121, GSE9692, GSE13904, GSE26378, and GSE26440. These are only from the Day 1 timepoint.

Organism:

Homo sapiens

Type:

Expression profiling by array; Third-party reanalysis

Platform:

GPL570

276 Samples

Download data: CEL

(Submitter supplied) Background: Patients developing meningococcal septic shock reveal very high levels of Neisseira meningitidis and endotoxin in the circulation and organs, leading to acute cardiovascular, pulmonary and renal failure, coagulopathy and a high case fatality rate within 24 hours. Objective: To investigate transcriptional profiles in heart, lungs, kidneys, liver and spleen and immunostain key inflammatory cells and proteins in post mortem formalin-fixed, paraffin-embedded (FFPE) tissue samples from meningococcal septic shock patients. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

44 Samples

Download data: CEL, XLSX

(Submitter supplied) Sepsis is a major health concern, with high morbidity and mortality workdwide. In order to identify prognostic biomarkers in septic shock patients, we performed a microarray study exploring the early modulation of gene expression according to day 28 mortality. Several candidate biomarkers including CX3CR1 and LILRB2 were identified as prognostic biomarkers.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

124 Samples

Download data: CEL

(Submitter supplied) Rationale: Despite shortening vasopressor use in shock, hydrocortisone administration remains controversial, with potential harm on the immune system. Few studies assessed hydrocortisone impact on the transcriptional response in shock, and we are lacking data in burns. Objectives: To assess the hydrocortisone-induced transcriptional modulation in severe burn shock, particularly on the immune response. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

117 Samples

Download data: CEL

(Submitter supplied) Background: As early and appropriate care of severe septic patients is associated with better outcome, understanding of very first events in the disease process is needed. Pan-genomic analyses offer an interesting opportunity to study global genomic response within the very first hours after sepsis. The objective of this study was to investigate the systemic genomic response in severe Intensive Care Unit (ICU) patients and determine whether patterns of gene expression could be associated with clinical severity evaluated by severity score. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

107 Samples

Download data: CEL

(Submitter supplied) Comparison of gene expression across 85 cell lines after stimulation with a cocktail of inflammatory cytokines

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6884

170 Samples

Download data: TXT