Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcriptional analysis of three quorum sensing signals add in experiment inYersinia pestis CO92 at 37M-BM-0C


ABSTRACT: 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 quorum sensing was investigated by comparing transcript profiles when three quorum-sensing signals are added in. The strain M-bM-^HM-^Fpgm (pigmentation-negative) mutant R88 was used as wild type. The three signals are AI-2, AHLs (N-(3-Oxooctanoyl)-L-homoserine lactone and N-Hexanoyl-DL-homoserine lactone).The control consisted of cells grown and treated under the same conditions without added signals. Six independent RNA samples from Y. pestis CO92 M-bM-^HM-^Fpgm cultures were paired with six independent RNA samples from 3 signals added cultures for hybridization to six two-color microarrays. A dye-swap design was used to remove the Cy5 and Cy3 dye bias.

ORGANISM(S): Yersinia pestis

SUBMITTER: Chris Minion 

PROVIDER: E-GEOD-22846 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Analysis of autoinducer-2 quorum sensing in Yersinia pestis.

Yu Jing J   Madsen Melissa L ML   Carruthers Michael D MD   Phillips Gregory J GJ   Kavanaugh Jeffrey S JS   Boyd Jeff M JM   Horswill Alexander R AR   Minion F Chris FC  

Infection and immunity 20130819 11


The autoinducer-2 (AI-2) quorum-sensing system has been linked to diverse phenotypes and regulatory changes in pathogenic bacteria. In the present study, we performed a molecular and biochemical characterization of the AI-2 system in Yersinia pestis, the causative agent of plague. In strain CO92, the AI-2 signal is produced in a luxS-dependent manner, reaching maximal levels of 2.5 μM in the late logarithmic growth phase, and both wild-type and pigmentation (pgm) mutant strains made equivalent l  ...[more]

Similar Datasets

2016-07-03 | E-GEOD-22847 | biostudies-arrayexpress
2013-09-05 | E-GEOD-22848 | biostudies-arrayexpress
2013-09-05 | E-GEOD-22849 | biostudies-arrayexpress
2013-09-05 | E-GEOD-21911 | biostudies-arrayexpress
2016-07-03 | E-GEOD-20217 | biostudies-arrayexpress
2016-07-03 | E-GEOD-30238 | biostudies-arrayexpress
2016-07-03 | E-GEOD-30237 | biostudies-arrayexpress
2016-07-03 | E-GEOD-30109 | biostudies-arrayexpress
2016-01-01 | GSE30341 | GEO
2016-01-01 | GSE22847 | GEO