Project description:We generated RNA-Seq data from human angiosarcoma tissues (N=13) and non-malignant tissue samples (N=6). The goal of this study was to determine differentially expressed genes in the tumors compared to controls. We sequenced about 80 – 100 million sequence reads per sample and mapped to the human reference genome (GRCh38). We identified 1,237 differentially expressed genes between the tumors and non-malignant controls (FDR P-value < 0.05): 490 genes were upregulated and 747 genes were downregulated in angiosarcomas. Our results show a comprehensive data of fusion genes and gene expression profile in human angiosarcomas using RNA-seq technology.
Project description:A comparison of gene expression in OCT frozen human angiosarcoma compared with OCT frozen normal mesenchymal tissues RNA was isolated from 18 AS and normal human. RNA was isolated from 3 kidney and 2 skeletal muscle OCT frozen sections and 3 samples of frozen whole blood. Twenty-five nanograms of total RNA from each sample was used for amplification, and then was fluorescently labeled using Cy3 and hybridized onto Agilent whole human genome 8x60k gene expression microarrays (Agilent Technologies, Santa Clara, CA) according to Agilent standard procedures. After hybridization for 17 h at 65 oC and 10 rpm, the arrays were washed and scanned with the Agilent G3 high-resolution scanner. Probe features were extracted from the microarray scan data using Feature Extraction software v.10.7.3.1 (Agilent Technologies). Microarray data was read and processed with R/Bioconductor (version 2.15.1/2.16) statistical software environment using the limma package (version 3.12.1). The raw data was within array quantile normalized and probes that mapped to the same gene were combined by averaging.
Project description:We first use microRNA expression profiles to find miRNA expression signatures in 3 cases of human angiosarcoma and capillary hemangiomauman, then RT-PCR for large sample verification. Through the bioinformatics prediction of its target genes, we study its function and aim to find the new molecular markers and therapeutic targets.
Project description:RATIONALE: Studying the genes expressed in samples of tissue from patients with cancer may help doctors identify biomarkers related to cancer.
PURPOSE: This laboratory study is using gene expression profiling to evaluate normal tissue and tumor tissue from patients with colon cancer that has spread to the liver, lungs, or peritoneum.
Project description:We first use microRNA expression profiles to find miRNA expression signatures in 3 cases of human angiosarcoma and capillary hemangiomauman, then RT-PCR for large sample verification. Through the bioinformatics prediction of its target genes, we study its function and aim to find the new molecular markers and therapeutic targets. We identified the miRNA expression signatures in human angiosarcomas and capillary hemangiomas by using microRNA expression profiles