Project description:Full legacy gene expression dataset run internally Gene expression data from various panels and experiments was collected, QC'd and normalised in tandem to provide a full summary dataset of the cell line expression data generated internally
Project description:Full legacy gene expression dataset run internally Gene expression data from various panels and experiments was collected, QC'd and normalised in tandem to provide a full summary dataset of the cell line expression data generated internally
Project description:Differential gene expression analysis of parental and resistant sub-lines of melanoma cell lines treated or untreated with PLX4032 Using microarray we sought to obtain a genome-wide profile of differentially expressed genes in parental melanoma cell lines and resistant sub-lines in response to PLX4032 vs DMSO control treatment. Representative parental melanoma cell lines and resistant sub-lines were treated with PLX4032 at 1 uM or DMSO control for 6h. Total RNA was extracted and cDNAs were generated and hybridized onto GeneChip Human Gene 1.0 ST Arrays (Affymetrix).
Project description:Differential gene expression analysis of parental and sub-lines of melanoma cell line resistant to F5 CTL lymphocyte parental melanoma cell line and CTL resistant sub-line
Project description:Expression profiles of aggressive versus non-aggressive ovarian, breast, melanoma, and prostate cancer cell lines Expression profiles of aggressive versus non-aggressive ovarian, breast, melanoma, and prostate cancer cell lines was determined. 231MFP, C8161, SKOV3, DU145, and PC3 are aggressive and MCF7, MUM2C, OVCAR3, and LNCaP are non-aggressive cancer cells. We are not comparing across all of the cell lines--just between C8161 and MUM2C, SKOV3 and OVCAR3, 231MFP and MCF7, and LNCaP/DU145/PC3. Therefore the normalization strategies used are different. We have not used the same normalization strategy
Project description:Intracellular progesterone receptor (PR) presents two main isoforms: PR-A and PR-B with different function and regulation. Both isoforms have been identified in astrocytomas, the most common and aggressive primary brain tumors in humans. To investigate the role of PR activity in the regulation of gene expression pattern of U373 cells, we evaluated by microarray analysis the profile of genes regulated by progesterone (10 nM), by a progesterone receptor antagonist (RU486, 10 µM) or by both steroids. The human astrocytoma cell line U373 was treated with progesterone; the antagonist, RU-486 or a combination of both drugs.Subsecuently, total RNA was extracted and hybridised on Affymetrix Human Gene 1.0 STs.
Project description:Expression data from pancreatic cancer cell lines and non-neoplastic pancreatic cell line HPDE To identify genes epigenetically silenced and regulated in pancreatic cancer We compared the gene expression profiles of 6 pancreatic cancer cell lines (panc215, A32-1, A38-5, panc2.5, panc2.8, and panc3.014), to the non-neoplastic pancreas cell line, HPDE. We also compared the baseline gene expression of the pancreatic cancer cell lines to expression patterns after treatment with 5-aza-dC alone, TSA alone, and to a combination of 5-aza-dC/TSA.
Project description:Breast cancer is a genetically and phenotypically complex disease. To understand the role of microRNAs in this molecular complexity, we performed miRNA expression analysis in a cohort of molecularly well-characterized human breast cancer (BC) cell lines to discover miRNAs associated with the most common molecular subtypes and the most frequent genetic aberrations.Using a microarray carrying LNA™ modified oligonucleotide capture probes (Exiqon), expression levels of 725 human miRNAs were measured in 51 BC cell lines. MiRNA expression was explored by unsupervised cluster analysis and then associated with the molecular subtypes and genetic aberrations commonly present in breast cancer. Unsupervised cluster analysis using the most variably expressed miRNAs divided the 51 BC cell lines into a major and a minor cluster predominantly mirroring the luminal and basal intrinsic subdivision of BC cell lines. One hundred and thirteen miRNAs were differentially expressed between these two main clusters of which half were related to the ER-status of the cell lines. Forty miRNAs were differentially expressed between basal-like and normal-like/claudin-low cell lines. Within the luminal-group of cell lines, 39 miRNAs were associated with ERBB2 overexpression and 24 miRNAs with E-cadherin gene mutations, which are frequent in this subtype of BC cell lines. In contrast, 31 different miRNAs were associated with E-cadherin promoter hypermethylation, which, contrary to E-cadherin mutation, is exclusively observed in BC cell lines that are not of luminal origin. The differential expression of 30 miRNAs were associated with p16INK4 status while only a few differentially expressed miRNAs were associated with BRCA1, or PIK3CA/PTEN, TP53 mutation status of the cell lines (P-value < 0.05). Twelve miRNAs were associated with DNA copy number variation of the respective locus. Luminal-basal and epithelial-mesenchymal associated miRNAs determine the overall subdivision of miRNA transcriptome of BC cell lines. Specific sets of miRNAs were associated with ERBB2 overexpression, p16INK4aor E-cadherin mutation or E-cadherin methylation status, which implies that these miRNAs may contribute to the driver role of the genetic aberrations. Additionally, miRNAs, which are located in a genomic region showing recurrent genetic aberrations, may themselves play a driver role in breast carcinogenesis or contribute to a driver gene in their vicinity. In short, our study provides detailed molecular miRNA portraits of BC cell lines, which can be exploited for functional studies of clinically important miRNAs. Affymetrix plus2PM arrays were hybridized according to the manufacturer's procedure using RNA extracted from 52 cultured breast cancer cell lines. Most cellines were analyzed in triplicate. Gene expression data in log2 scale arrays were calculated and associated with diverse characteristics. This submission represents the gene expression component of the study only
Project description:Single cell proteomics data containing quantitative information of THP1 and U937 monocytes that were treated or not to undergo a macrophage-like differentiation. Dataset also contains "Mix" samples generated by mixing in equal proportions THP1 and U937 peptides in the single-cell range or by processing together 1 THP1 cell and 1 U937 cell. Samples run on the Orbitrap Fusion Lumos Tribrid and the Exploris 240 were acquired by the de Duve institute, UCLouvain. Samples run on the timsTOF SCP were acquired by the GIGA institute, ULiège.