E-GEOD-19314 - Sarcoidosis-specific markers from whole blood gene expression

Status
Released on 10 August 2011, last updated on 18 August 2015
Organism
Homo sapiens
Samples (66)
Array (1)
Protocols (6)
Description
We hypothesized that microarray analyses of whole blood gene expression would identify patterns of gene expression useful in the diagnosis for sacroidosis and identify inflammatory mediators relevant to the underlying pathophysiology. We analyzed whole blood RNA from 37 patients with sarcoidosis, 20 healthy controls and 6 patients with hypersensitivity pneumonitis using genome-wide expression microarrays. We developed a classification algorithm using a derivation and validation subset approach, analyzed the most discriminative gene expression changes, and confirmed selected expression changes using flow-cytometry.
Experiment type
transcription profiling by array 
Contacts
Citations
Sarcoidosis blood transcriptome reflects lung inflammation and overlaps with tuberculosis. Koth LL, Solberg OD, Peng JC, Bhakta NR, Nguyen CP, Woodruff PG.
Longitudinal analysis of sarcoidosis blood transcriptomic signatures and disease outcomes. Su R, Li MM, Bhakta NR, Solberg OD, Darnell EP, Ramstein J, Garudadri S, Ho M, Woodruff PG, Koth LL.
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-19314.idf.txt
Sample and data relationshipE-GEOD-19314.sdrf.txt
Raw data (2)E-GEOD-19314.raw.1.zip, E-GEOD-19314.raw.2.zip
Processed data (1)E-GEOD-19314.processed.1.zip
Array designA-AFFY-44.adf.txt
Links