Project description:Accumulating evidence indicates that long noncoding RNAs can interact with microRNAs to regulate target mRNAs through competing interactions. However, this mechanism remains largely unexplored in laryngeal squamous cell carcinoma. In this study, transcriptome-wide RNA sequencing in 3 pairs of laryngeal squamous cell carcinoma tissues and adjacent normal tissues was performed to investigate the expression profiles of lncRNAs, miRNAs and mRNAs.
Project description:Investigation of lncRNA expression profile of laryngeal cancer A seven chip study using total RNA extracted from 7 squamous cell carcinoma tissues and paired adjacent normal tissues
Project description:To understand the gene expression profiling of cancer stem cells of laryngeal squamous carcinoma, the total RNA of CD133+CD44+ laryngeal cancer stem cells (isolated from LSCC cell line TU-177, named TDP), CD133-CD44- cells (TDN) and parental TU-177 (unsorted TU-177 cells, named TPT) was extracted, followed by RNA sequencing. Differentially expression of lncRNA, mRNA, and circRNA was identified.
Project description:1. Evaluate the diagnostic value of long noncoding RNA (CCAT1) expression by RT-PCR in peripheral blood in colorectal cancer patients versus normal healthy control personal.
2. Evaluate the clinical utility of detecting long noncoding RNA (CCAT1) expression in diagnosis of colorectal cancer patients & its relation to tumor staging.
3. Evaluate the clinical utility of detecting long noncoding RNA (CCAT1) expression in precancerous colorectal diseases.
4. Compare long noncoding RNA (CCAT1) expression with traditional marker; carcinoembryonic antigen (CEA) and Carbohydrate antigen 19-9 (CA19-9) in diagnosis of colorectal cancer.
Project description:Investigation of whole genome gene expression level changes in laryngeal squamous carcinoma cell line TU177 in response to overexpressed miR-145-5p. Differentially expressed protein-coding genes in the human laryngeal squamous carcinoma cells TU177 overexpressing miR-145-5p were identified by microarray analysis.