Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are using RNA sequencing analysis to evaluate the effects of si-LINC00152 on the mRNA of human colon cancer cell line HCT116. Methods: Human colon cancer cell line HCT116 was transfected with a control non-targeting siRNA to cells or transfected with siRNA targeting LINC00152 for 36 hours in DMEM medium (with 10% serum). Total RNA were extracted and detected by Illumina high-throughput RNA sequencing data analysis. 2 independent biological replicates were plated, transfected in parallel for each control and siRNA. Results: Log-fold changes of up- or down-regulated mRNAs between the control and experiment group were selected with a significance threshold of p<0.05. There are 90 mRNAs were up-regulated and 159 were down-regulated in “si-LINC00152” group comparing to “control” group. Conclusions: Our study describes the mRNA changes of human colon cancer cell line HCT116 transfected with LINC00152 siRNA.
Project description:Chromatogram library generated of pooled sample. Coculture spheroids formed from fibroblast and colon cancer cell lines, and monoculture spheroids formed from the colon cancer cell line HCT116.
Project description:Experimental set accompanying Giacomini et al publication "A legacy gene-expression signature of genetic instability in colon cancer". Includes 18 colon cancer cell line training set, 13 colon cancer cell line test set, and 3 cell lines (HCT116, HCT116+ch2, HCT116+ch3) used to evaluate signature after correcting underlying genetic instability. Experiments were performed by comparing mRNA from each colon cancer cell line (Cy5; channel 2) to a "universal" mRNA reference (Cy3; channel 1). A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Series type: disease_state_design Series_overall_design: Using regression correlation Keywords: other
Project description:To identify differentially expressed genes by siRNAs transfection in human colon cancer cell line, HCT116 was subjected to Agilent whole genome microarrays.
Project description:Experimental set accompanying Giacomini et al publication "A legacy gene-expression signature of genetic instability in colon cancer". Includes 18 colon cancer cell line training set, 13 colon cancer cell line test set, and 3 cell lines (HCT116, HCT116+ch2, HCT116+ch3) used to evaluate signature after correcting underlying genetic instability. Experiments were performed by comparing mRNA from each colon cancer cell line (Cy5; channel 2) to a "universal" mRNA reference (Cy3; channel 1). A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Series type: disease_state_design Series_overall_design: Using regression correlation
Project description:To identify targets of miR-550a-3-5p in human colon cancer, HCT116 cell line expressing miR-550a-3-5p was subjected to Illumina microarrays.
Project description:To understand the funtion of Colorectal cancer GWAS results, we perform a comprehensive analysis using biofeatures of HCT116 colon cancer cell line and got a list of risk-asscociated SNP. Risk-associated SNP are likely exerting their effects through promoters or enhancer. In order to understand the importance of the genes with risk-associated SNP in their promoters and enhancers' putatively targeted genes, we did a comparison of these genes between HCT116 colon cancer cell and normal colon and try to understand their function Two biological replicates of HCT116 were compared to the data of two normal colon samples already deposited in GEO (GSM1010974 and GSM1010942).
