NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE42418 Query DataSets for GSE42418
Status Public on Dec 30, 2016
Title Expression analysis of novel and known antifungal drugs using S. cerevisiae as a model
Organism Saccharomyces cerevisiae
Experiment type Expression profiling by array
Summary A systematic approach allowing the identification of the molecular way of action of novel potential drugs still represents the golden-tool for drug-discovery researchers. While high-throughput screening technologies of large libraries is now well established, the assessment of the drug targets and mechanism of action is still under development. Taking advantage of the yeast model Saccharomyces cerevisiae, we herein applied BarSeq, a Next Generation Sequencing based method to the analysis of both haploinsufficiency and homozygous fitness effects of a novel antifungal drug compared to the well-known antifungal, ketoconazole. Integrative bioinformatic analysis of BarSeq, whole genome expression analysis and classical biological assays identified the target and cell pathways affected by the novel antifungal. Confirmation of the effects observed in the yeast model as well as in pathogenic fungi further demonstrated the reliability of the multi-sided approach and the novelty of the targets and mode of action of the new class of molecules studied that thus represent a valuable source of novel antifungals.
 
Overall design Two-condition experiments, drug vs. DMSO-treated S. cerevisiae cells. Analyzed drugs: two concentrations of ketoconazole (2.5 uM and 50 uM) and one concentration of the novel proposed antifungal 089. Biological replicates: 3 control replicates for each experiment.
 
Contributor(s) Stefanini I, Rizzetto L, Rivero D, Cavalieri D
Citation(s) 29654251
Submission date Nov 20, 2012
Last update date Jun 26, 2019
Contact name Irene Stefanini
E-mail(s) stefanini.irene@gmail.com
Organization name University of Turin
Street address via Accademia Albertina
City Torino
ZIP/Postal code 10123
Country Italy
 
Platforms (2)
GPL2883 Agilent-013384 Yeast Oligo Microarray (V2) G4140B (Feature Number version)
GPL7542 Agilent-015072 Yeast Oligo Microarray 4x44K G2519F (Feature Number version)
Samples (7)
GSM1039694 089 R1
GSM1039695 Ketoconazole 2 uM 5-R1
GSM1039696 Ketoconazole 50 uM R1
Relations
BioProject PRJNA181366

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
GSE42418_RAW.tar 22.5 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap