Project description:Staphylococcus aureus is a gram-positive cocci and an important human commensal bacteria and pathogen. S. aureus infections are increasingly difficult to treat because of the emergence of highly resistant MRSA (Methicillin-resistant S. aureus) strains. Here we present a method to study differential gene expression in S. aureus using high-throughput RNA-sequencing (RNA-seq). We use RNA-seq to examine the differential gene expression in S. aureus RN4220 cells containing an exogenously expressed transcription factor and between two S. aureus strains (RN4220 and NCTC8325-4). The information provided by RNA-seq was a significant advance over previously described microarray based techniques. We investigated the sequence and gene expression differences between RN4220 and NCTC8325-4 and used the RNA-seq data to identify S. aureus promoters suitable for in vitro analysis. We used RNA-seq to describe, on a genome wide scale, genes positively and negatively regulated by a phage encoded transcription factor, gp67. RNA-seq offers the ability to study differential gene expression with single-nucleotide resolution, and is a considerable improvement over the predominant genome-wide transcriptome technologies used in S. aureus.

2013-11-07 | GSE48896 | GEO

RNA-seq reveals differential gene expression in Staphylococcus aureus at single-nucleotide resolution

2013-11-07 | E-GEOD-48896 | biostudies-arrayexpress

Staphylococcus aureus bona fide sRNAs in the model strain HG003

Project description:Accurate annotation of regulatory RNAs is a complex task but nevertheless essential as sRNA molecular and functional studies ensue from it. Several formerly considered small RNAs (sRNA) are now known to be parts of UTR transcripts. In light of experimental data, we review hundreds of Staphylococcus aureus putative regulatory RNAs. We pinpoint those that are likely acting in trans and are not expressed from the opposite strand of a coding gene. We conclude that HG003, a NCTC8325 derivative strain, has about 50 bona fide sRNAs, indicating that these RNAs are less numerous than commonly stated.

2018-03-07 | GSE104971 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data