This SuperSeries is composed of the SubSeries listed below.
Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients.
Sex, Specimen part, Cell line
View SamplesPurpose: Predominant causes of head and neck cancer recurrence after radiotherapy are rapid repopulation, hypoxia, fraction of cancer stem cells and intrinsic radioresistance. Currently, intrinsic radioresistance can only be assessed by ex-vivo colony assays. Besides being time-consuming, colony assays do not identify causes of intrinsic resistance. We aimed to identify a biomarker for intrinsic radioresistance to be used before start of treatment and to reveal biological processes that could be targeted to overcome intrinsic resistance.
Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients.
Specimen part, Cell line
View SamplesPurpose: Predominant causes of head and neck cancer recurrence after radiotherapy are rapid repopulation, hypoxia, fraction of cancer stem cells and intrinsic radioresistance. Currently, intrinsic radioresistance can only be assessed by ex-vivo colony assays. Besides being time-consuming, colony assays do not identify causes of intrinsic resistance. We aimed to identify a biomarker for intrinsic radioresistance to be used before start of treatment and to reveal biological processes that could be targeted to overcome intrinsic resistance.
Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients.
Specimen part
View SamplesIn order to identify the gene targets of frequently altered chromosomal regions in retinoblastoma, a meta-analysis of genome-wide copy number alterations studies on primary retinoblastoma tissue and retinoblastoma cell lines was performed. Published studies were complemented by copy number and gene expression analysis on primary and cell line samples of retinoblastoma. This dataset includes the gene expression data of the retinoblastoma cell lines
A Meta-Analysis of Retinoblastoma Copy Numbers Refines the List of Possible Driver Genes Involved in Tumor Progression.
Specimen part, Cell line
View SamplesWe infected Mouse Embryonic Fibroblast and cultured them in anchorage independent conditions to study tranformation induced by the bacterium. We cultured these transformed cells multiple rounds in the presence of Ciprofloxacin to remove intracellular Salmonella after transformation occured. By doing RNA sequencing we indentified genes of which expression was altered upon infection. This helps us to understand how Salmonella alters the host cell, resulting in transformation Overall design: We Cultered two biological duplicates of infected MEF cells, which we compared to a non transformed MEF control sample
Salmonella Manipulation of Host Signaling Pathways Provokes Cellular Transformation Associated with Gallbladder Carcinoma.
No sample metadata fields
View SamplesBackground
Loss of photoreceptorness and gain of genomic alterations in retinoblastoma reveal tumor progression.
Specimen part
View SamplesHep3B and Huh7 cells pre-treated with XL413 for 10 days to induce senescence prior to sertraline treatment for 24 hours. For RNA sequencing, the library was prepared using TruSeq RNA sample prep kit according to the manufacturer's protocol (Illumina). Gene set enrichment analysis was performed using gene set enrichment analysis software. Overall design: RNA seq data of Hep3B-control, Hep3B-sertraline, Hep3B-XL413, Hep3B-XL413-sertraline, Huh7-control, Huh7-sertraline, Huh7-XL413, Huh7-XL413-sertraline cells, to check gene expression signatures
Inducing and exploiting vulnerabilities for the treatment of liver cancer.
Specimen part, Cell line, Treatment, Subject
View SamplesPurpose: to check senescence gene expression signature in XL413 treated liver cancer cells. Methods: Hep3B and Huh7 cells are treated with XL413 for 4 days. For RNA sequencing, the library was prepared using TruSeq RNA sample prep kit according to the manufacturer's protocol (Illumina). Gene set enrichment analysis was performed using gene set enrichment analysis software. The FRIDMAN_SENESCENCE_UP gene set was used to assess the enrichment of senescence-associated genes in the XL413-treated versus control cells. Overall design: RNA seq data of Hep3B-control, Hep3B-XL413, Huh7-control, and Huh7-XL413 cells, to check senescence gene expression signature
Inducing and exploiting vulnerabilities for the treatment of liver cancer.
Specimen part, Cell line, Treatment, Subject
View SamplesPancreatic ductal adenocarcinoma (PDAC) is strikingly resistant to conventional approaches. In this study, we report that the histone deacetylase associated SIN3B protein is required for activated KRAS-induced senescence in vivo using a mouse model of pancreatic cancer.
Senescence-associated SIN3B promotes inflammation and pancreatic cancer progression.
Specimen part
View SamplesTissues of Arabidopsis plants overexpressing artificial microRNAs were compared to wild_type and respective target gene mutants (duplicate arrays)
Highly specific gene silencing by artificial microRNAs in Arabidopsis.
Specimen part
View Samples