Similar studies for GEO DataSets (Select 4240) - GEO DataSets

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Items: 3

Select item 42401.

Severe pandemic H1N1 influenza effect on peripheral blood: time course

Temporal analysis of peripheral blood from patients with severe pdm(H1N1) influenza, bilateral chest infiltrates, and in need of mechanical ventilation, but without significant co-morbidity. Results provide insight into molecular basis of immune responses in patients with severe pdmH1N1 infection.

Organism:: Homo sapiens

Type:: Expression profiling by array, transformed count, 14 individual, 3 time sets

Platform:: GPL6244
Series:: GSE27131
21 Samples

Download data: CEL

DataSet

Accession:: GDS4240

ID:: 4240

Select item 2000271312.

Peripheral blood cells expression data form 7 patients with severe pdm(H1N1) influensa and 7 gender and age matched healthy controls

(Submitter supplied) Using PAXgene tubes, peripheral blood samples were collected from seven patients >18 years with documented pdm(H1N1) influenza, bilateral chest infiltrates, and in need of ventilation support. Significant co-morbidity was exclusion criterion. Expression profiles were compared with 7 age matched controls. Using a false discovery rate < 5% and an absolute fold change > 2, 370 genes were differentially expressed in case and controls. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Dataset:: GDS4240
Platform:: GPL6244
21 Samples

Download data: CEL

Series

Accession:: GSE27131

ID:: 200027131

Select item 2001017023.

Host response to IAV infections in human patients

(Submitter supplied) Using influenza infection as a disease model, we used a systems biology approach to analyse host response and to identify immune pathways that might contribute to disease progression. We recruited influenza patients with varying severity of infection (n=154) and collected peripheral blood samples within 24 hours of their presentation to hospitals. Gene-expression arrays of these samples were analysed using weighted gene co-expression network analysis to detect disease-driving modules. more...