Project description:We performed Next Generation Sequencing of normal human intestinal epithelial cell lines, CRC cell lines and CRC cell lines with hypoxia treatment to identify the differentially expressed non-coding RNAs.
Project description:Next Generation Sequencing of normal human intestinal epithelial cell lines, CRC cell lines and CRC cell lines with hypoxia treatment
Project description:Background: In vitro models are an essential tool towards understanding the molecular characteristics of colorectal cancer (CRC) and the testing of therapies for CRC. To this end we established 21 novel CRC cell lines of which six were derived from liver metastases. Extensive genetic, genomic, transcriptomic and methylomic profiling was performed in order to characterize these new cell lines and all data is made publically available. Additionally, sensitivity of oxaliplatin was tested as a measure for chemotherapy resistance. Results: DNA copy-number alterations (CNA) were compared between primary and metastasis derived cell lines. In concordance with previous studies copy-number gain of chr20, and loss of chr8p were found highly specific for liver metastases. Previously reported BRAF-mutation associated DNA methylation profiles could be validated on the genome-wide DNA methylation profiles of these cell lines. 47.6% of the loci previously reported to associate with BRAF mutation status were reproduced in this dataset. When examining the gene expression profiles in conjunction with these DNA methylation results, we identified 20 genes of which the gene expression correlated with the DNA methylation status, including MEIS1, LRAT and STC2. These genes have previously been reported to be subject to transcriptional regulation through DNA hypermethylation, validating our approach. Conclusions: By combining mutation profiles with CNA and gene expression profiles we constructed an overview of the alterations in the major CRC-related signalling pathways. The mutation profiles, along with the genome, transcriptome and methylome data of these cell lines will be made publically available . This combined dataset puts these cell lines among the best characterized CRC cell lines, allowing researchers to select appropriate cell line models for their particular experiment, making optimal use of these novel cell lines as in vitro model for CRC. 21 CRC cell lines were analyzed
Project description:This study examines the therapeutic plausibility of using universal methyl group donor S-adenosylmethionine (SAM) to block breast cancer development, growth, and metastasis. cancer. Anti-tumor and anti-metastatic activity of SAM was evaluated through a series of studies in vitro using two different human breast cancer cell lines and in vivo using a MDA-MB-231 xenograft model of breast cancer. The data shown in this array is obtained from control and SAM-treated MDA-MB-231 cell lines.
Project description:Whole exome sequencing of CRC cell lines, in vitro and in vivo, to track longitudinally genomic profiles, clonal evolution, mutational signatures, and predicted neoantigens.
Project description:Background: In vitro models are an essential tool towards understanding the molecular characteristics of colorectal cancer (CRC) and the testing of therapies for CRC. To this end we established 21 novel CRC cell lines of which six were derived from liver metastases. Extensive genetic, genomic, transcriptomic and methylomic profiling was performed in order to characterize these new cell lines and all data is made publically available. Additionally, sensitivity of oxaliplatin was tested as a measure for chemotherapy resistance. Results: DNA copy-number alterations (CNA) were compared between primary and metastasis derived cell lines. In concordance with previous studies copy-number gain of chr20, and loss of chr8p were found highly specific for liver metastases. Previously reported BRAF-mutation associated DNA methylation profiles could be validated on the genome-wide DNA methylation profiles of these cell lines. 47.6% of the loci previously reported to associate with BRAF mutation status were reproduced in this dataset. When examining the gene expression profiles in conjunction with these DNA methylation results, we identified 20 genes of which the gene expression correlated with the DNA methylation status, including MEIS1, LRAT and STC2. These genes have previously been reported to be subject to transcriptional regulation through DNA hypermethylation, validating our approach. Conclusions: By combining mutation profiles with CNA and gene expression profiles we constructed an overview of the alterations in the major CRC-related signalling pathways. The mutation profiles, along with the genome, transcriptome and methylome data of these cell lines will be made publically available . This combined dataset puts these cell lines among the best characterized CRC cell lines, allowing researchers to select appropriate cell line models for their particular experiment, making optimal use of these novel cell lines as in vitro model for CRC.
Project description:To determine the lncRNA expression profile in ectopic APC overexpressed CRC cell lines and control cells, we uesed lncRNA microArray analysis form Arraystar to examine lncRNA expression profile in ectopic APC overexpressed CRC cell lines and control cells.
Project description:To investigate the presence and abundance of piRNAs in Colorectal Cancer (CRC), we performed deep-sequencing of the small RNA transcriptome of eight human CRC cell lines (HT-115, Caco-2, SW-1417, SW 403, COLO 205, HT-29, HCT 116 and RKO).
Project description:There is a need for robust phosphopeptide enrichment methods to allow signaling network analysis in cancer cell lines and tissues with minimal fractionation. With recent instrument developments thousands of unique phosphopeptides can be detected by single-shot LC-MS/MS. However, successful phosphoproteomics experiments still rely on efficient phosphopeptide enrichment from a tryptic digest prior to LC-MS/MS analysis. Here we describe a performance assessment of HAMMOC (hydroxyl acid modified metal affinity chromatography) (Sugiyama MCP2007, Kyono, JPR 2008) combined with single shot label-free quantitation at 500 µg peptide input level. We apply the method to profile the baseline phosphorylation landscape of a panel of 8 colorectal cancer (CRC) cell lines. These CRC cell lines represent the 3 CRC subtypes (CCS1, CCS2 and CCS3) as reported by large-scale transcriptome analysis. We report an analysis of the phosphoprotein network and processes enriched in the cell lines representing the poor prognosis CCS3 subtype.