Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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MicroRNA-Seq count data from fresh oral an oropharyngeal tissue samples from head and neck squamous cell carcinoma patients and fresh tonsil tissue samples from control patients

ABSTRACT: Integration of transcriptome with miRNome and methylome data aiming to elucidate role of epigenetics on gene expression in head and neck squamous cell carcinoma.

INSTRUMENT(S): NextSeq 500

ORGANISM(S): Homo sapiens

SUBMITTER: Katarina Mandić

PROVIDER: E-MTAB-13953 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Breast cancer is the first type of cancer in term of incidence in the world with only 36% of survival at 5 years. This poor prognosis is mainly due to metastasis formation. Cell migration is a key process in nature and the understanding of its complex mechanisms has a crucial importance in biomaterials, engineering, medicine, cell biology and immunology. Cells can detect chemical and physical gradients both on surface and in solution and respond to them with oriented movement. Therefore, controlling such processes could potentially result in major advances in biochemistry and biotechnology with potential breakthroughs in metastasis treatment and tissue regeneration. After a thorough investigation on current literature, but also basing our foundations on our previous results published by Marega et al, Small (2016), this research project focusses on the integrins α5β1 and αvβ3, already known to be implicated in cell migration, angiogenesis and resistance to cell death. Such transmembrane receptors can be activated indirectly by EGFR pathway or directly by IGD type I fibronectin motifs. The influence of both integrin invalidation will be studied on cell migration in usual culture plates and on IGDQ-exposing surfaces. In this work known as PACMAN (Peptide-Assisted Cellular Migration Along eNgineered surfaces) project, we have recently shown in an in vitro model migration that IGDQ-exposing (IsoLeu-Gly-Asp-Glutamine type I Fibronectin motif) monolayers (SAMs) on gold sustain the migration of MDA-MB-231 cells by triggering Focal Adhesion Kinase. In this project, such tunable scaffolds are used to mimic the extracellular environment, being able to induce and control cell migration on an anisotropic surface. The observed migratory behavior induced by the IGDQ-bearing peptide gradient along the surface suggests the presence of cell subpopulations associated with a “stationary” or a “migratory” phenotype, the latter determining a considerable cell migration at the sub-cm length scale. Those subpopulations with a “stationary” or a “migratory” phenotype obtained was characterized by a single-cell RNA-sequencing in order to identify new pathways regulating the metastasis process. The aim of this work is to highlight the pathways implied into the integrin-dependent cell migration and to find putative therapeutic, diagnostic or prognostic targets. That will permit a better molecular stratification of tumors and will improve the therapeutic personalization.

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.

Dataset Information

MicroRNA-Seq count data from fresh oral an oropharyngeal tissue samples from head and neck squamous cell carcinoma patients and fresh tonsil tissue samples from control patients

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