Project description:We select 3 pairs of tissue samples, including 3 breast tissues and 3 adjacent tissues, and then perform miRNA chip detection to find differential miRNAs. We used microarrays to identify differential expressed miRNAs in breast cancer and paired normal breast tissue
Project description:Penile cancer is a rare disease that has high morbidity and mortality rates. While a few biomarkers related to prognosis have been previously described to date, none of them was adopted in clinical practice. We used microarrays to identify miRNA-based molecular signatures to identify penile carcinoma regions from paired normal-adjacent tissues. We also used microarray information to distinguish patients with a high risk of metastatic penile carcinoma.
Project description:To identify aberrantly expressed long intergenic noncoding RNAs (lincRNAs) in bladder cancer tissues compared with normal adjacent tissues, we have employed microarray expression profiling as a discovery platform to identify lincRNAs that may play important roles in bladder cancer origin and progression. Samples of fresh frozen cancer tissues, together with normal adjacent tissues (3 cm away from the tumor), were obtained during surgical resection, and total RNA was extracted for microarray analysis.
Project description:To identify aberrantly expressed long intergenic noncoding RNAs (lincRNAs) in muscle-invasive bladder cancer tissues compared with normal adjacent tissues, we have employed microarray expression profiling as a discovery platform to identify lincRNAs that may play important roles in bladder cancer progression. Samples of fresh frozen cancer tissues, together with normal adjacent tissues (3 cm away from the tumor), were obtained during surgical resection, and total RNA was extracted for microarray analysis.
Project description:Expression data of miRNA profile from colorectal cancer and the adjacent normal tissues infected with F. nucleatum. Colorectal cancer(CRC) is among the most common cancer types in the world and one of the most lethal cancers. Fusobacterium nucleatum (F. nucleatum) plays an etiologic role in the development of colorectal cancer, but specific tumor molecules involved in the progression of CRC induced by F. nucleatum is not clear. This study investigated some miRNAs and the genes involved in the progression of F. nucleatum-induced colorectal cancer by Affymetrix miRNA microarray technology. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated and down-regulated genes between Colorectal cancer and the adjacent normal tissues (CONTROL) infected without F. nucleatum . The miRNA array was performed using the affymetrix GeneChip® miRNA 3.0 Array (Affymetrix, Santa Clara, California, United States). The chip was processed using a commercial Affymetrix array service (GeneTech Biotechnology Limited Company, Shanghai, China). The affymetrix GeneChip® miRNA 3.0 Array contains 2,999 probe sets unique to human, mouse and rat pre-miRNA hairpin sequences, 2,216 human snoRNA and scaRNA probe sets and covers 153 organisms (19,724 probe sets). Raw data sets were extracted from all Cel files (raw intensity file) after scanning of slides. These raw data sets were separately analyzed using Expression Console and GeneSpring GX12.5 software followed by differential miRNA expression, fold change & cluster analysis.