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Transcriptome analysis of a Staphylococcus aureus mutant defective in the transcription termination factor Rho.

ABSTRACT: This analysis is part of the study Whole-transcriptome analysis of Staphylococcus aureus under laboratory and infection-mimicking conditions (Mäder, Nicolas et al., to be submitted) where the S. aureus HG001 transcriptome was analyzed under more than 40 different biological conditions. The data revealed a relatively low abundance of antisense RNAs in S. aureus, overlapping only 6% of the coding genes. Transcriptome analysis of the rho deletion mutant revealed a remarkable overall increase in antisense transcription in S. aureus.

ORGANISM(S): Staphylococcus aureus Staphylococcus aureus subsp. aureus NCTC 8325

PROVIDER: GSE70041 | GEO | 2016/03/08

SECONDARY ACCESSION(S): PRJNA287530

REPOSITORIES: GEO

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Transcriptome analysis of a Staphylococcus aureus mutant defective in the transcription termination factor Rho.

Project description:This analysis is part of the study Whole-transcriptome analysis of Staphylococcus aureus under laboratory and infection-mimicking conditions (MÃ¤der, Nicolas et al., to be submitted) where the S. aureus HG001 transcriptome was analyzed under more than 40 different biological conditions. The data revealed a relatively low abundance of antisense RNAs in S. aureus, overlapping only 6% of the coding genes. Transcriptome analysis of the rho deletion mutant revealed a remarkable overall increase in antisense transcription in S. aureus. delta rho and wild type

2016-03-08 | E-GEOD-70041 | biostudies-arrayexpress

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Project description:This analysis is part of the study Whole-transcriptome analysis of Staphylococcus aureus under laboratory and infection-mimicking conditions (Mäder, Nicolas et al., to be submitted) where the S. aureus HG001 transcriptome was analyzed under more than 40 different bilogical conditions. Genomic DNA was prepared from four independent cultures of S. aureus HG001 cells; after sonication, DNA was labeled with Cy3 and hybridized to tiling arrays. The data are used in transcriptome studies to compute expression intensities from raw intensity data using a model of shift and drift.

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