Project description:Three HCT116 cell lines (HCT WT, HCT p21-/-, HCT p53-/-) were analyzed by RT-qPCR array analysis for chromatin modification enzymes to identify potential target genes, that depend on the cell cycle regulator p21 and that are indpendent of p53. HCT116 cell lines (HCT WT, HCT p21-/-, HCT p53-/-) were cultured at 37°C in a humidified atmosphere with 5% CO2. Cells were harvested at a confluency of ~60-80% and RNA was isolatd using QIAzol an Rneasy Kits from Qiagen. cDNA was produced from equal amounts of RNA using the RT² First Strand Ki from Qiagen and RT-qPCR analysis was performed following the manufacturer's instructions using the Epigenetic Chromatin Modification Enzymes RT² Profiler PCR Array from Qiagen. The CFX96TM Real-Time System and the C1000TM Thermal Cycler from Bio-Rad were used to perform the RT-PCR runs. The three different cell lines were analyzed in three biological triplicates. The mean expression Ct values of the target genes were normalized against the mean Ct value for GAPDH to calculate the Fold Change values. The Raw Data was processed using the RT² Profiler PCR Array Data Analysis version 3.5 software from SABiosciences.
Project description:This study compares the dose dependent transcriptome data obtained for the volatile compound dimethylamine, which has been exposed in an in vitro system via air-liquid-interface (ALI) exposure to a pulmonary cell line (A549 cells).
Project description:Two HCT116 cell lines (HCT WT, HCT p21-/-) were analyzed by RT-qPCR array analysis for genes associated with Epithelial to Mesenchymal Transition (EMT) to identify potential target genes, that depend on the cell cycle regulator p21. HCT116 cell lines (HCT WT, HCT p21-/-) were cultured at 37°C in a humidified atmosphere with 5% CO2. Cells were harvested at a confluency of ~60-80% and RNA was isolatd using QIAzol an Rneasy Kits from Qiagen. cDNA was produced from equal amounts of RNA using the RT² First Strand Ki from Qiagen and RT-qPCR analysis was performed following the manufacturer's instructions using the Epithelial to Mesenchymal Transition RT² Profiler PCR Array from Qiagen. The CFX96TM Real-Time System and the C1000TM Thermal Cycler from Bio-Rad were used to perform the RT-PCR runs. The two different cell lines were analyzed in three biological triplicates. The mean expression Ct values of the target genes were normalized against the mean Ct value for B2M to calculate the Fold Change values. The Raw Data was processed using the RT² Profiler PCR Array Data Analysis version 3.5 software from SABiosciences.
Project description:Microarrays have evolved from low-density cDNA or oligonucleotide arrays to high-density platforms, for several study species even covering the complete transcriptome. At the same time, transcriptomics experiments have become more complex and multifactorial in nature, requiring many microarrays to assess multiple biologically relevant hypotheses. Scientists using this technology are therefore painfully aware of the high financial cost of a typical microarray experiment. Unfortunately, this often leads to either a suboptimal experimental design in an effort to reduce the cost by using fewer microarrays, or to abandoning microarray technology altogether. In this study, we argue that for many studies high-density full genome microarrays are in fact technical overkill. By selectively reducing full genome probe sets to a lower number of probes, it is possible to significantly reduce the total cost of a microarray experiment. The study consists of four microarray analyses: a cadmium probe selection experiment, a temperature probe selection experiment, a cadmium validation experiment and a cadmium validation experiment.
Project description:Microarrays have evolved from low-density cDNA or oligonucleotide arrays to high-density platforms, for several study species even covering the complete transcriptome. At the same time, transcriptomics experiments have become more complex and multifactorial in nature, requiring many microarrays to assess multiple biologically relevant hypotheses. Scientists using this technology are therefore painfully aware of the high financial cost of a typical microarray experiment. Unfortunately, this often leads to either a suboptimal experimental design in an effort to reduce the cost by using fewer microarrays, or to abandoning microarray technology altogether. In this study, we argue that for many studies high-density full genome microarrays are in fact technical overkill. By selectively reducing full genome probe sets to a lower number of probes, it is possible to significantly reduce the total cost of a microarray experiment. The study consists of four microarray analyses: a cadmium probe selection experiment, a temperature probe selection experiment, a cadmium validation experiment and a cadmium validation experiment.