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:P53 mutation is closely associated with the occurrence and progression of colon cancer. In this project, we did crotonylomics sequencing by using human colon cancer homologous cell line pair-HCT116+/+(with wild type p53) and HCT116-/- (with null p53). Crotonylomics sequencing results showed that p53 deficiency regulated crotonylation of non-histone proteins.
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.
