Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

PC3 EMETINE TIME COURSE

ABSTRACT: PC3 prostate cancer cells were treated with and without 100?g/ml Emetine Dihydrochloride Hydrate (Fluka, Buchs, Swizerland). Both Emetine-treated and untreated control cells were then incubated at 37Â°C for 10 hours. After the incubation, the first time point (0 min) was harvested for both treated and untreated cells. Simultaneously, Actinomycin D (Sigma-Aldrich, St Louis, MO) with the final concentration of 5ug/ml, was added to the remaining treated and untreated cells to stop new transcription. Time points of 10min, 30min, 1h, 2h, and 4h were harvested in both groups for most of the cell lines. Cell pellets were snap-frozen and mRNA extracted by using FastTrack kit (Invitrogen) according to the manufacturerâs instructions. For each time point, the untreated sample was hybridized against the Emetine-treated equivalent. Four ug of untreated mRNA was labeled with Cy5-dUTP and four ug of Emetine-treated mRNA with Cy3-dUTP (Amersham Biosciences, Piscataway, NJ) as previously described (Mousses et al, 2000). Image analysis was done by DeArray software. Average intensities of the tumor samples were divided by the average intensities of the reference sample at each microarray spot after background intensity subtraction. Within-slide normalization was performed with ratio statistics method using housekeeping genes as described previously (Chen et al, 1997). The data were quality filtered with ratio quality method (Chen et al, 2002), which computes a quality value for each ratio. The scale for the quality values is from zero (poor quality) to one (good quality). Here, all ratios having quality value below 0.5 were discarded from the subsequent analysis.

ORGANISM(S): Homo sapiens

SUBMITTER: Jeff Kiefer

PROVIDER: E-GEOD-1489 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Nonsense-mediated decay microarray analysis identifies mutations of EPHB2 in human prostate cancer.

Huusko Pia P Ponciano-Jackson Damaris D Wolf Maija M Kiefer Jeff A JA Azorsa David O DO Tuzmen Sukru S Weaver Don D Robbins Christiane C Moses Tracy T Allinen Minna M Hautaniemi Sampsa S Chen Yidong Y Elkahloun Abdel A Basik Mark M Bova G Steven GS Bubendorf Lukas L Lugli Alessandro A Sauter Guido G Schleutker Johanna J Ozcelik Hilmi H Elowe Sabine S Pawson Tony T Trent Jeffrey M JM Carpten John D JD Kallioniemi Olli-P OP Mousses Spyro S

Nature genetics 20040808 9

The identification of tumor-suppressor genes in solid tumors by classical cancer genetics methods is difficult and slow. We combined nonsense-mediated RNA decay microarrays and array-based comparative genomic hybridization for the genome-wide identification of genes with biallelic inactivation involving nonsense mutations and loss of the wild-type allele. This approach enabled us to identify previously unknown mutations in the receptor tyrosine kinase gene EPHB2. The DU 145 prostate cancer cell ...[more]

PMID: 15300251

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Project description:We have compared the response to TGFbeta1 in normal and v-rasHa transduced primary mouse keratinocytes using NCI cDNA microarrays. This analysis reveals that Ha-ras alters global TGFbeta1 mediated gene expression in a gene specific manner. The expression pattern of TGFbeta1 immediate early response genes and down regulation of cell cycle control genes is not altered by Ha-ras but the induction of most extracellular matrix genes is blocked. Using Smad3 null keratinocytes, we find that the majority of TGFbeta1 responsive genes in primary keratinocytes are Smad3 dependent, but patterns of transcriptional responses suggest that the ability of Ha-ras to block TGFbeta1 mediated gene expression is not dependent on Smad3. However, the combination of oncogenic ras and loss of Smad3 prevents the TGFbeta1 dependent suppression of genes associated with cell cycle progression and apoptosis observed with either genotype alone. In addition several extracellular matrix genes are super-repressed by TGFbeta1 in the Ha-ras Smad3 null keratinocytes. These data provide a genomic framework for understanding how disruptions of TGFbeta signaling and oncogenic ras cooperate to promote premalignant progression of primary keratinocytes. Keywords: time series design RNA from Balb/c primary and ras keratinocytes treated for 1, 6, 24, and 48 hours with TGFbeta1 at 1ng/ml was compared to RNA from the corresponding untreated controls. For each timepoint sample from primary and ras cells, multiple arrays (including dye swaps) were analyzed. There are 6, 7, 6, and 5 arrays analyzed for RNA from primary keratinocytes treated for 1, 6, 24, and 48 hours as compared to RNA from untreated primary cells, respectively. There are 6, 8, 7, and 5 arrays analyzed for RNA from ras keratinocytes treated for 1, 6, 24, and 48 hours as compared to RNA from untreated ras cells, respectively. There are 50 arrays analyzed for the Balb/c time-course dataset. RNA from Smad3 WT and KO primary and ras keratinocytes treated 48 hours with TGFbeta1 were compared to RNA from its untreated corresponding controls. There are 6 arrays analyzed for the Smad3 WT/KO data set. There are 56 arrays in this series.

Dataset Information

PC3 EMETINE TIME COURSE

Publications

Nonsense-mediated decay microarray analysis identifies mutations of EPHB2 in human prostate cancer.

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