Genomics

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Post-transcriptional regulation of stress response in a myo1Δ mutant of the budding yeast Saccharomyces cerevisiae


ABSTRACT: The microarrays experiments of three biological and one technical replicates were performed in YJR12 (wt) and YJR13 (myo1∆) strains. YJR12 (wild type) and YJR13 (myo1∆) strains were obtained as haploid segregants from a cross between YJR6 (myo1::HIS5 strain) and BY4741 (obtained from ATTC). Cultures were grown overnight at 26ºC to an optical density between 0.5-0.8 (OD600) in complete synthetic media (CSM, 2% glucose, 1X Nitrogen base) with continuous shaking at 200 rpm. RNA was extracted from ribosomal pellets using the RNeasy Mini Kit (Qiagen, Valencia, CA) following the manufacturer’s instructions. RNA concentrations were determined by measuring absorbance at 260nm using a Nanodrop spectrophotometer (Nanodrop Technologies). The purity and integrity of the RNA was monitored using an Agilent Bioanalyzer (Agilent Technologies) following the manufacturer’s instructions. 1.0 µg of RNA extracted form ribosomal pellets from each sample was amplified using the Low RNA Input Fluorescent Linear Amplification kit (Agilent Technologies). The amplified cRNA was labeled with 10mM Cyanine 5-CTP (Cy5) or Cyanine 3-CTP (Cy3) (Perkin Elmer Life Sciences). Labeled cRNA’s were purified with Qiagen RNeasy mini spin columns and dye incorporation was monitored on an Agilent Bioanalyzer. Hybridization of Cy5 and Cy3 labeled cRNA’s were performed using Yeast Oligo Microarray slides and hybridization kit from Agilent Technologies (Sheldon Manufacturing) at 60ºC for 17 hours. Slides were washed and scanned with a VersArray Chip Reader system (BioRad, Hercules, CA) at a resolution of 5mm with detector sensitivity values between 704-800 and laser power at 85%. Scanned images were transferred to the Imagene 3.0 software (Biodiscovery) for further analysis to locate spots, adjust the appropriate grid, and obtain the Cy3 and Cy5 TIFF files. The microarrays raw data generated with Imagene 3.0 were analyzed using Limma software (Bioconductor Package 1.7). The data was prepared for analysis by correcting for background intensity. The individual data sets were normalized using the locally weighted linear regression (Lowess) within each array. After normalization, the difference between the experimental and control signal was calculated, replicates were combined, and their averages were calculated. The fold change in gene expression was calculated by 2^(M), where M is the log2-fold change after background correction and normalization. An Empirical Bayes Statistics for differential expression analysis (eBayes statistics) was performed by Limma. Genes with a p-value ≤ 0.018 were established as a cutoff for differential expression. In addition, a false discovery rate (FDR) test was performed by Limma program.

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE20203 | GEO | 2010/12/08

SECONDARY ACCESSION(S): PRJNA125713

REPOSITORIES: GEO

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