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Series GSE70636 Query DataSets for GSE70636
Status Public on Jan 07, 2020
Title Next generation sequencing allows identification of quantitave differential gene expression between four clinical strains of methicilin resistant Staphylococcus aureus
Organism Staphylococcus aureus
Experiment type Expression profiling by high throughput sequencing
Summary Staphylococcus aureus can cause a broad spectrum of diseases that vary widely in clinical presentation and disease severity[121]. Methicillin-Resistant S. aureus (MRSA) strains first described in the 1960’s[122] were hospital acquired (HA MRSA), however in the 1990’s, community-associated MRSA strains (CA MRSA) were identified and are considered to be more virulent[16]. Therapeutics and management of MRSA focuses on novel antibacterials and vaccines targeting virulence factors. To date no clinical trials for vaccines have succeeded[123] due to the poor understanding of the pathogenic mechanisms exhibited by S.aureus.We investigated the differential gene expression of four clinical MRSA strains in vitro, belonging to HA and CA MRSA, at the stationary and exponential growth phases, using RNA-seq on the Ion torrent next generation sequencing platform. This study reveals the high diversity of virulence trait expression among MRSA strains within strains as well as between different growth phases, and also suggests potential factors other than PVL that contributes to enhanced virulence in CA MRSA
 
Overall design mRNA profiles were generated for four clinical strains of methicilin resistant staphylococcus aureus at their stationary growth phase, in duplicates and in exponential phase in triplicates, using RNA-seq in ion torrent platform. Data analysis performed with CLCBio Genomic Workbench, with two reference sequences, USA300_FPR3757 (NCBI RefSeq accession numbers NC_007793.1, NC_007790.1, NC_007791.1, NC_007792.1) and N315 strains (NCBI RefSeq accession numbers NC_002745.2, NC_003140.1)
 
Contributor(s) Tennakoon IU, Hyugens F
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Submission date Jul 08, 2015
Last update date Jan 07, 2020
Contact name Imalka U P K Tennakoon
E-mail(s) imalka123@yahoo.com
Phone +61420298510
Organization name Queensland University of Technology
Department Institute of Health and Biomedical Innovation
Street address 60,Musk Avenue,Kelvingrove
City Brisbane
State/province QLD
ZIP/Postal code 4059
Country Australia
 
Platforms (1)
GPL20673 Ion Torrent Proton (Staphylococcus aureus)
Samples (20)
GSM1815479 CA MRSA (PVL+)_S_ rep1
GSM1815480 CA MRSA (PVL+)_S_rep2
GSM1815481 CA MRSA (PVL-)_S_rep1
Relations
BioProject PRJNA289253
SRA SRP060528

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
GSE70636_processed_data_N315AsReference_E.xlsx 2.4 Mb (ftp)(http) XLSX
GSE70636_processed_data_N315AsReference_S.xlsx 1.4 Mb (ftp)(http) XLSX
GSE70636_processed_data_USA300AsReference_E.xlsx 2.2 Mb (ftp)(http) XLSX
GSE70636_processed_data_USA300AsReference_S.xlsx 1.4 Mb (ftp)(http) XLSX
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Raw data are available in SRA
Processed data are available on Series record

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