Cyclin H (Phospho-Thr315) ELISA Kit

To identify low-penetrance susceptibility alleles for chronic lymphocytic leukemia (CLL), we performed a case-control study genotyping 768 single-nucleotide polymorphisms (SNP) in 692 cases of CLL and 738 controls. We investigated nonsynonymous SNPs, SNPs with potential functional effect, and tag SNPs in regulatory gene regions in a total of 172 genes involved in cancer biology. After adjustment for multiple testing, we found a strong association between CLL risk and six genetic variants: CCNH (rs2266690, V270A), APAF1 (rs17028658, 3'region), IL16 (rs4505265, first intron), CASP8 (rs1045485, D302H), NOS2A (rs2779251, promoter), and CCR7 (rs3136687, intron 1). We found association with CLL susceptibility and 22 haplotypes in APAF1, LL6, TATRSF13B, LL16, CASP3, CCR7, LTA/TAFF, BAX, BCL2, CXCL12, CASP10/CASP8, CASP1, CCLZ BAK1, and LL1A candidate genes. Finally, we evaluated using public data sets the potential functional effect on gene expression levels of the CLL associated genetic variants detected in regulatory regions. Minor alleles for APAF1 and IL16 were associated with lower mRNA levels; no expression differences were observed for CCR7, whereas NOS2A could not be assessed. This study suggests that common genetic variation in apoptosis- and immunoregulation-related genes is associated with the CLL risk. [Cancer Res 2008;68(24):10178-86]

To identify keys genes and elucidate miRNA-mRNA regulatory networks in Bladder smooth muscle cell (BSMC) response to mechanical stimuli. Human BSMCs, seeded on a silicone membrane, were subjected to mechanical stretch or without stretch. Microarray was used to analyze the differential expression of mRNAs and miRNAs between human BSMCs under mechanical stretch and control static control group. Differentially expressed genes(DEGs) and miRNAs (DEMs) in these two groups were identified. Subsequently, differentially expressed DEGs were conducted with functional analysis, and then PPI network was constructed. Finally, miRNA-mRNA regulatory network was visualized using Cytoscape. 1639 significant DEGs and three DEMs were identified between the stretch group and control static group. The PPI network of DEGs was constructed by STRING, which was composed of 1459 nodes and 1481 edges, including 188 upregulated genes and 255 downregulated genes. Moreover, 36 genes in the PPI network were identified as hub genes in BSMCs response to mechanical stretch, e.g. CCNH, CPSF2, TSNAX, ARPC5 and PSMD3 genes. Subsequently, 39 clusters were selected from PPI network using MCODE, and it was shown that the most significant cluster consisted of 14 nodes and 91 edges. Besides, miR-503HG was the most significantly downregulated miRNA and was predicted to target five upregulated genes, including SMAD7, CCND3, WIPI2, NYNRIN and PVRL1. Our data mining and integration help reveal the mechanotransduction mechanism of BSMCs' response to mechanical stimulation and contribute to the early diagnosis of bladder outlet obstruction (BOO) as well as the improvement of pathogenesis of BOO treatment.