Dataset Information

UGDH knockdown in MDA-MB-231

ABSTRACT: Transcriptome profiling (RNA-Seq) to evaluate the connection the metabolic enzyme UGDH on gene expression. The RNA libraries were prepared and sequenced at University of Houston Seq-N-Edit Core per protocols. Total libraries were prepared with Ovation® Universal Plus mRNA-Seq (NuGen) using 200 ng input RNA. The size selection for libraries were performed using SPRIselect beads (Beckman Coulter) and purity of the libraries were analyzed using the High Sensitivity DNA chip on Bioanalyzer 2100 (Agilent). The prepared libraries pooled and sequenced using NextSeq 500 (Illumina), generating ~15 million 2×76 bp paired-end reads per samples. The RNA-seq raw fastq data were processed with RNA-Seq Express app within the Illumina BaseSpace app suite (www.basespace.illumina.com), which performed alignment with STAR aligner, assignment of aligned reads to genes, and differential gene expression with DESeq2 Analysis was performed comparing controls (shNT) against individual knockdowns (shU1 or shU2). Then, results from both analyses were compared for the intersection to identify commonly altered genes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE118772 | GEO | 2018/08/21

REPOSITORIES: GEO

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Project description:Abstract/Project overview Tumour recurrence can be influenced by the mutational status of a tumour but also how the tumour responds to therapy. Whilst activation of Type 1 interferon signalling is a hallmark of how cells respond to viral infection, in cancer cells, multiple stresses are known to activate this same response. In this study we have evaluated for the first time the changes in the interferon response induced by culturing prostate cancer cells under sphere-forming conditions and following irradiation. We identify that both stresses induced a selection/reprogramming towards a tumour-initiating/stem-like cell population That are known to be highly adaptable and have been shown to be resistant to multiple therapies. We report a conserved upregulated transcript profile for both conditions that is tightly associated with therapeutic resistance and cell survival in vitro and in vivo. The profile includes and is regulated by the Type 1 interferon master regulator IRF7, which when targeted delays tumour re-growth following irradiation. Understanding the impact of radiotherapy on the evolution of treatment resistant prostate cancer is critical for selecting effective treatment combinations. Our first-in-field data define irradiation as a selection pressure for a multi-treatment resistant, interferon response-dependent biology and further show that these cells acquire enhanced sensitivity to a combination of IKKε/TBK1 and MEK inhibition. Design of the sequencing experiment/Methods The RNA-seq experiment within this study was designed to identify radiation-responsive and IRF7-responsive genes in a prostate cancer cell-line, PC3. To do so we generated stable IRF7 knockdown derivatives using shRNA (referred to as 'IRF7' in the files) and scrambled controls (referred to as 'scr'). We subjected 5 million cells per condition to 1,2 or 3 doses of irradiation or mock irradiation with 24 hour or 72 hour recovery periods interspersed (annotated for example as '24-1', one dose with a 24-hour recovery period). At 24 hours or 72 hours after the final treatment we harvested cells and extracted total RNA using Trizol. To assess the yield and integrity of mRNA, 2ul of each sample was taken for analysis on a Fragment Analyzer Automated CE System (Advanced Analytical) and smear analysis run using a DNF-473 Standard Sensitivity NGS Fragment Analysis Kit (Advanced Analytical). Total RNA (1ug) was processed to first-stranded cDNA using the TruSeq Stranded mRNA Library Prep Kit (Illumina), following the manufacturer’s instructions for the low-throughput protocol. First-stranded cDNA samples were processed to barcoded cDNA libraries using a Diagenode IP-Star, according to the manufacturer’s instructions for Illumina TruSeq library prep. Resulting libraries were PCR-amplified to incorporate unique indices and cleanup performed using AMPure XP Beads (Becman Coulter) according to Truseq LT protocol. Resulting libraries were quantified, pooled and sequenced on a Nextseq 500 paired end 2x75Bp run. FASTQ files generated were de-multiplexed and adapter trimmed in the Illumina basespace and aligned to hg19 using Bowtie2 with default settings in the Basespace RNA-seq Express app. Resulting bam alignments files were exported and aligned to Refseq transcriptome annotation in Partek Genomic Suite and annotated transcripts with mapped sequence reads were quantified for relative expression in each sample and gene level RPKM (Reads Per Kilobase of transcript per Million mapped reads) counts generated for downstream analysis.

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UGDH knockdown in MDA-MB-231

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