GEO DataSets

Analysis of leukocytes from patients with gram-positive or gram negative sepsis. Results provide insight into the specificity of the host response to gram-positive and gram negative sepsis.

Organism:

Homo sapiens

Type:

Expression profiling by array, log ratio, 4 disease state sets

Platform:

GPL4274

Series:

GSE6535

72 Samples

Download data: GPR

(Submitter supplied) Objective: It is unclear whether the host response of gram-positive sepsis differs from gram-negative sepsis at a transcriptome level. Using microarray technology, we compared the gene-expression profiles of gram-positive sepsis and gram-negative sepsis in critically ill patients. Design: A prospective cross-sectional study. Setting: A 20-bed general intensive care unit of a tertiary referral hospital. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3085

Platform:

GPL4274

72 Samples

Download data: GPR

(Submitter supplied) To examine whether gene-expression profiling of circulating leukocytes is different between patients with sepsis as compared to controls. The signature genes identified will then be used to develop a prediction model to assist the diagnosis of sepsis. Keywords: Prediction study

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2808

Platform:

GPL4274

94 Samples

Download data: GPR

Analysis of neutrophils from critically ill patients with sepsis. Results used to define a gene expression signature for sepsis and provides insight into the host response to sepsis.

Organism:

Homo sapiens

Type:

Expression profiling by array, log ratio, 2 disease state, 2 protocol sets

Platform:

GPL4274

Series:

GSE5772

94 Samples

Download data: GPR

(Submitter supplied) To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis. Keywords: Class prediction study

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

70 Samples

Download data: CEL

(Submitter supplied) Objectives: We monitored the mRNA expression profiles of peripheral blood cells during treatment with a tumor necrosis factor-a inhibitor, infliximab, in patients with rheumatoid arthritis (RA). Using a DNA microarray analysis, we demonstrated a unique set of genes, with distinct baseline and post-treatment changes in expression between responders and non-responders to infliximab treatment.Methods: Using a customized low-density cDNA microarray and a reliable data collection system, we monitored the mRNA expression profiles of whole blood cells from 18 RA patients before and after the infusion of infliximab for up to 22 weeks. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5460

72 Samples

Download data: TXT

(Submitter supplied) The obligate intracellular, gram-negative bacterium, Chlamydophila pneumoniae (Cpn), has impact as an acute and chronic disease-causing pathogen. Little is known about changes in the Cpn transcriptome during its biphasic developmental cycle (the acute infection) and persistence stages that are linked to chronic diseases. To analyze Cpn CWL029 gene expression, we designed a pathogen-specific oligo microarray and optimized the extraction method for pathogen RNA. more...

Organism:

Chlamydia pneumoniae

Type:

Expression profiling by array

Platform:

GPL4824

67 Samples

Download data: TXT, XML

(Submitter supplied) Paired fine needle aspiration biopsies (FNABs) of breast cancers were taken before (PRE) and after (POST) surgeries from 16 patients and compared the cDNA microarray data to determine the genes that were differentially expressed between the FNABs taken at the two time points. The timing of fine needle aspiration biopsies can be a confounding factor in microarray data analyses in breast cancer. FOS-related genes, which have been implicated in early hypoxia as well as the development of breast cancers, were differentially expressed before and after surgery. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL7025

32 Samples

Download data: GPR

(Submitter supplied) PURPOSE. Triamcinolone acetonide (TA) and dexamethasone (DEX) are corticosteroids commonly used for ocular inflammation but both can cause ocular hypertension. We investigated the differential gene expression profile of human trabecular meshwork (TM) cells in response to treatment by TA compared to that by DEX. METHODS. Total RNA was extracted from cultured human TM cells treated with TA or DEX and used for microarray gene expression analysis. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4564

9 Samples

Download data

(Submitter supplied) To understand the host transcriptional response to S. enterica serovar Choleraesuis (S. Choleraesuis), the first generation Affymetrix porcine GeneChip® was used to identify differentially expressed genes in the mesenteric lymph nodes responding to infection at acute (8 hours (h), 24h, 48h post-inoculation (pi)) and chronic stages (21 days (d) pi) The objectives of this study were to identify and examine the stereotypical gene expression response within the host mesenteric lymph nodes to S. more...

Organism:

Sus scrofa

Type:

Expression profiling by array

Platform:

GPL3533

15 Samples

Download data: CEL, EXP

(Submitter supplied) There is currently no reliable tool available to measure immune dysfunction in septic patients in the clinical setting. This proof-of-concept study assesses the potential of gene expression profiling of whole blood as a tool to monitor immune dysfunction in critically ill septic patients. Whole blood samples were collected daily for up to 5 days from patients admitted to the intensive care unit with sepsis. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4971

Platform:

GPL6947

163 Samples

Download data: TXT

Analysis of whole blood samples from survivors and non-survivors of sepsis for up to 5 days after their admission to the intensive care unit. Results provide insight into the molecular basis of the immune dysfunction resulting from sepsis.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 disease state, 54 individual, 3 other, 5 time sets

Platform:

GPL6947

Series:

GSE54514

163 Samples

Download data

(Submitter supplied) This series represents the gene expression study of phages DT1 and 2972 during the whole process of infection. Gene expression was measured at nine time intervals (0, 2, 7, 12, 17, 22, 27, 32, 37 minutes) during phage infection. Keywords: time-course

Organism:

Brussowvirus bv2972; Moineauvirus DT1

Type:

Expression profiling by array

Platforms:

GPL1939 GPL2744

45 Samples

Download data

(Submitter supplied) Background : The aim of this study is to improve our understanding of the mechanisms underlying the role of sepsis in the limb muscles of ICU patients with acute quadriplegic myopathy (AQM) by using a unique porcine ICU model, i.e., 5-day longitudinal experiments where animals are sedated, mechanically ventilated and exposed to factor triggering AQM that is endotoxin-induced sepsis. Results : An increased expression of genes involved in chemokine activity and transcriptional regulation. more...

Organism:

Sus scrofa

Type:

Expression profiling by array

Platform:

GPL3533

8 Samples

Download data: CEL

(Submitter supplied) The Acute Respiratory Distress Syndrome (ARDS)/Acute Lung Injury (ALI) was described 30 years ago, yet the interaction between specific sets of genes involved in this syndrome remains incompletely understood. Keywords: disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL571

34 Samples

Download data: CEL

(Submitter supplied) Sepsis is defined as a systemic inflammatory response secondary to a proven or suspected infection. Mechanisms governing this inflammatory response have been shown to be complex and dynamic, involving cross-talking among diverse signaling pathways. However, current knowledge on mechanisms underlying sepsis is far from providing a complete picture of the syndrome, justifying additional efforts that might add to this scenario. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

23 Samples

Download data: TXT

(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) The aim of this series of experiments was to gain experience in sepsis gene expression profiling in a well-accepted model of murine polymicrobial abdominal sepsis and begin characterizing (in the parlance of genomics) the sepsis "transcriptome." DESIGN: Prospective animal study. SETTING: University-based animal research facility.SUBJECTS C57BL/6 mice. INTERVENTIONS: After induction of general anesthesia, cecal ligation and puncture were performed to induce peritonitis and polymicrobial sepsis. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Dataset:

GDS164

Platform:

GPL207

6 Samples

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C57/B6 mice subjected either to sham laparotomy or cecal ligation and puncture (CLP) and spleen samples taken 24 hours post surgery. Effort to increase understanding of shock and the adaptive response to injury at the level of the entire genome.

Organism:

Mus musculus

Type:

Expression profiling by array, count, 2 shock sets

Platform:

GPL207

Series:

GSE510

6 Samples

Download data

(Submitter supplied) The host response in critically ill patients with sepsis, septic shock remains poorly defined. Considerable research has been conducted to accurately distinguish patients with sepsis from those with non-infectious causes of disease. Technological innovations have positioned systems biology at the forefront of biomarker discovery. Analysis of the whole-blood leukocyte transcriptome enables the assessment of thousands of molecular signals beyond simply measuring several proteins in plasma, which for use as biomarkers is important since combinations of biomarkers likely provide more diagnostic accuracy than the measurement of single ones or a few. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13667

802 Samples

Download data: CEL