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Series GSE30237 Query DataSets for GSE30237
Status Public on Jan 01, 2016
Title Transcriptional analysis of AI-2 treatment in Yersinia pestis at 30°C
Organism Yersinia pestis
Experiment type Expression profiling by array
Summary 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 to control. The strain Δpgm (pigmentation-negative) mutant was used as wild type.The control consisted of cells grown and treated under the same conditions without added signals.
 
Overall design Six independent RNA samples from Y. pestis CO92 Δpgm cultures were paired with six independent RNA samples from AI-2 signal added in cultures for hybridization to six two-color microarrays. A dye-swap design was used to remove the Cy5 and Cy3 dye bias.
 
Contributor(s) Minion C, Yu J
Citation(s) 23959719
Submission date Jun 27, 2011
Last update date Apr 01, 2016
Contact name Chris Minion
E-mail(s) fcminion@iastate.edu
Phone 515-294-6347
Fax 515-294-8500
Organization name Iowa State University
Department VMPM
Street address 1130 Vet Med
City Ames
State/province IA
ZIP/Postal code 50011
Country USA
 
Platforms (1)
GPL10439 WUSTL Yersinia pestis 14K array
Samples (6)
GSM748780 AI-2 treated vs. control rep1
GSM748781 AI-2 treated vs. control rep2
GSM748782 AI-2 treated vs. control rep3
This SubSeries is part of SuperSeries:
GSE30342 AI-2 quorum sensing in *Yersinia pestis*
Relations
BioProject PRJNA155135

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE30237_RAW.tar 4.4 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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