ABSTRACT: The expression profiles of angiogenesis-related genes in the presence or absence of the NUP160-SLC43A3 fusion gene as measured with PCR array
Project description:The expression profiles of extracellular matrix-related genes in the presence or absence of IL-12, IL-23 or IL-27 as measured with PCR array
Project description:The expression profiles of extracellular matrix-related genes in the presence or absence of IL-17A or -17F as measured with the PCR array in systemic sclerosis (SSc) dermal fibroblasts
Project description:We performed a PCR array of 84 ECM-related genes using RNA obtained from dermal fibroblasts stimulated presence or absence of IL-12, IL-23 or IL-27. The effects of IL-12, -23 or -27 on COL1A2 mRNA expression were less than 2-fold, as compared with untreated cells.
Project description:We examined the effect of IL-17 signaling pathway on extracellular matrix (ECM) expression and the involvement of IL-17 signaling pathway in pathogenesis of SSc. To identify differences in the expression pattern of ECM genes in IL-17A- or IL-17F-treated cells, we performed PCR array analysis, consisting of 84 ECM-related genes. Normal human dermal fibroblasts were cultured until they were confluent, and then stimulated with IL-17A or IL-17F for 12 hours, and total RNA was extracted. A mixture of equal amounts of mRNAs from three normal fibroblasts was prepared in the presence or absence of IL-17A or -17F, and mRNA expression profile was evaluated using PCR Array.
Project description:Comparison of Stat3 downstream gene expression in tumor-infiltraing myeloid cells. cDNA from sample was added into the array plate containing primer of specific genes related to angiogensis and gene expression level was analyzed by real-time PCR. The array plate was purchased from SA Bioscience and catalog number is PAMM-024 (mouse angiogenesis PCR array)
Project description:Primary outcome(s): 1) To correlate micro vascular density (MVD) and expression of VEGF-A in the tumor specimens with response rates (RR), progression free survival (PFS) and over all survival (OS). 2) To correlate expressions of various genes and k-Ras gene status in the tumor specimens with RR, PFS and OS. 3) To correlate the values of angiogenesis-related growth factors in plasma with RR, PFS and OS. 4) To correlate the profiles of glycoconjugates in plasma with RR, PFS and OS.
