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E-GEOD-22848 - Transcription analysis of AI-2 signal add in experiment in Yersinia pestis CO92 at 37°C

Status
Released on 5 September 2013, last updated on 2 June 2014
Organism
Yersinia pestis
Samples (12)
Array (1)
Protocols (7)
Description
Yersinia pestis, the etiological agent of plague, is able to sense cell density by quorum sensing. The function of quorum sensing in Y. pestis is not clear. Here, the process of autoinducer-2 (AI-2) quorum sensing was investigated by comparing transcript profiles when AI-2 quorum-sensing signal is added in. The strain ∆pgm(pigmentation-negative) mutant R88 was used as wild type. The control consisted of cells grown and treated under the same conditions without added signals. Six independent RNA samples from Y. pestis CO92 ∆pgm cultures were paired with six independent RNA samples from AI-2 signal added cultures for hybridization to six two-color microarrays. A dye-swap design was used to remove the Cy5 and Cy3 dye bias.
Experiment type
transcription profiling by array 
Contacts
Chris Minion, Jing Yu
Citation
Analysis of Autoinducer-2 Quorum Sensing in Yersinia pestis. Yu J, Madsen ML, Carruthers MD, Phillips GJ, Kavanaugh JS, Boyd JM, Horswill AR, Minion FC. , PMID:23959719
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-22848.idf.txt
Sample and data relationshipE-GEOD-22848.sdrf.txt
Raw data (1)E-GEOD-22848.raw.1.zip
Processed data (1)E-GEOD-22848.processed.1.zip
Array designA-GEOD-10439.adf.txt
Links