Project description:Total RNAs were isolated from three groups, including A group (0×10^9/mL PA-MSHA-treated HCT116 cells), B group (0.3×10^9/mL PA-MSHA-treated HCT116 cells) and C group (0.4×10^9/mL PA-MSHA-treated HCT116 cells). MiRNA sequencing was performed to assess differential expression using next-generation sequencing. The data showed that most miRNAs levels were different in A, B and C groups. Importantly, miR-7-5p was greatly increased in a dose-dependent manner.
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to use RNA-seq to find differences between WT and MTF1-KO tumor in colorectal cancer Methods: HCT116 cells and MTF1-KO HCT116 cells were injected subcutaneously into the back of NSG mice at 2x106 cells/recipient , At day 24 after injection,Tumor tissue were isolated from infected recipients,and Total RNA was collected. Besides,about 5x106 cultured HCT116 cells and MTF1-KO HCT116 cells were collected for total RNA isolation ,and sent all of them for sequencing. Conclusions: Our study represents the transcriptome difference between WT HCT116 tumor and MTF1-KO HCT116 tumor has a very positive significance for the pathological process of colorectal cancer,especially for cell adhension
Project description:Aiming to understaned resistance to monocolonal antibodies (Cetuximab, Ctx or Panituximab, Pani) in colon cancer cells, miRNA were studies in both HT29 cells(B-RAF mutated, moderattely-sensitive to Ctx) and HCT116 (K-RAS mutated, highly resistant to Ctx)
Project description:Aim: Hepatic fibrosis is a major worldwide medical problem and can develop into liver cirrhosis and hepatocellular carcinoma(HCC). Until now, there are no effective drugs for liver ?brosis because the molecular mechanism of progression of liver fibrosis is not fully understood. MicroRNAs (miRNAs) are an important class of small non-coding functional RNAs that play a key role in many biological processes. The purpose of this study was to clarify how the aberrant expression of miRNAs participates in development of the liver fibrosis in rat liver fibrosis model. Methods: Fibrotic and paired normal liver tissues were collected and assesssed by deep sequencing technology. MiRNA pro?ling results were validated by quantitative real-time polymerase chain reaction (qRT-PCR) and bioinformatics was used to predict miRNA targets. Results: Nine deregulated miRNAs were induced in porcine serum (PS)-induced hepatic fibrosis versus normal liver. Further analysis revealed several signaling pathways (e.g., gap junction and neuroactive ligand-receptor interaction) may be associated with hepatic fibrogenesis. Conclusion: Several miRNAs are dysregulated in PS-induced hepatic fibrosis and seem to be closely associated with hepatic fibrogenesis. These results provide an experimental basis for understanding the mechanism of hepatic fibrosis. We sequenced two samples, including case and control. Each sample has two replicates.
Project description:To explore the function of TTC7B on colon cancer,we established HCT116 TTC7B-KO/OE cell lines. The purpose of this study is to utilize next-generation sequencing techniques to investigate the effects of TTC7B knockout or overexpression on the biological behavior of tumor cells.
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare TP53-WT and TP53-KO HCT116 cells transcriptome profiling (RNA-seq) under 5-FU treatment condition and to evaluate the correlation between transcriptome profileing and chromatin accessibility under 5-FU treatment. Methods: HCT116 cell profiles of TP53-WT and TP53- KO were generated by deep sequencing, in duplicates, using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform levels: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA). Conclusions: Our study represents the detailed analysis of TP53-WT and TP53-KO HCT116 cell transcriptomes under 5-FU treatment with different timepoint, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that RNA-seq offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a TP53-WT and TP53-KO cells with and without 5-FU treatment in different timepoint. We conclude that NGS based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.