Project description:A collection of cell-type specific constraint-based metabolic models of human H1299 cells (human non-small cell lung carcinoma cell line) infected with SARS-CoV-2 based that were generated based on gene-expression data.
Project description:We report whole genome gene expression in HepaRG cells, a human hepatocellular carcinoma cell line, that were either treated with palmitic and oleic acid or solvent only. These data capture transcriptional events related to the response of human hepatocyte-like cells to fat-loading.
Project description:131 patient-derived xenograft models were generated for non-small cell lung carcinoma and were profiled at the genome, transcriptome and proteome level by analysis of gene copy number variation, whole exome sequencing, DNA methylation, transcriptome, proteome and phospho(Tyr)-proteome. At the proteome level, the human tumor and murine stroma were discernible. Tumor proteome profiling resolved the known major histological subtypes and revealed 3 proteome subtypes (proteotypes) among adenocarcinoma and 2 in squamous cell carcinoma that were associated with distinct protein-phosphotyrosine signatures and patient survival. Stromal proteomes were similar between histological subtypes, but two adenocarcinoma proteotypes had distinct stromal proteomes. Proteotypes comprise tumor and stromal signatures of targetable biological pathways suggesting that patient stratification by proteome profiling may be an actionable approach to precisely diagnose and treat cancer.
Project description:To identify differentially expressed genes by miRNAs transfection in human cancer, several cell lines (lung adenocarcinoma, lung squamous cell carcinoma and small cell lung cancer) were subjected to Agilent whole genome microarrays.
Project description:To identify differentially expressed genes by anti cancer treatments (microRNAs or siRNAs) in human cancer, several cell lines (lung squamous cell carcinoma, oral squamous cell carcinoma, renal cell carcinoma and prostate cancer) were subjected to Agilent whole genome microarrays.
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Project description:To identify differentially expressed genes by anti cancer treatments (microRNAs or siRNAs) in human cancer, several cell lines (bladder cancer, prostate cancer, renal cell carcinoma, oral squamous cell carcinoma and lung squamous cell carcinoma) were subjected to Agilent whole genome microarrays.
Project description:To identify differentially expressed genes by anti cancer treatments (microRNAs or siRNAs) in human cancer, several cell lines (pancreatic cancer, esophageal cancer, tongue squamous cell carcinoma, hypopharyngeal squamous cell carcinoma and lung squamous cell carcinoma) were subjected to Agilent whole genome microarrays.
Project description:To identify differentially expressed genes by siRNAs transfection in human cancer, lung squamous cell carcinoma cell lines were subjected to Agilent whole genome microarrays.