Objective To investigate the function and regulatory mechanisms of VCAN gene and protein in metastatic prostate cancer.Methods The data of whole genomic expression profiles got from the prostate cancer metastasis were obtained from gene expression omnibus (GEO) database,a set of bioinformatics tools,such as BRB-Array Tools,protparam,SMART,SignalP 4.0,TMHMM,NetPhos2.0,PredictProtein,SWISS-MODEL,GO,KEGG and STRING softwares were used to accomplish data-mining and bioinformatics analysis.Results There were 73 co-expressed differentially genes in prostate cancer metastasis,21 up-regulated and 52 down-regulated.Bioinformatics analysis indicated that VCAN gene encoded 3396 amino acids,VCAN was also contained one Immunoglobulin domain,two hyaluronan-binding domain,one epidermal growth factor-like domain,one calcium-binding EGF-like domain,one C-type lectin domain and one domain abundant in complement control proteins,and a furthermore analysis suggested that VCAN played essential roles in such important biological function including cell adhesion,hyaluronic acid binding,calcium-binding,glycosaminoglycan binding,extracellular matrix and cell adhesion molecules.Conclusions Bioinformatics analysis had a high efficiency in analyzing microarray data and revealing internal biology information.VCAN may play an important role in the prostate cancer metastasis,Thus,VCAN might be a novel biomarker for the diagnosis of prostate cancer metastasis or a new target for its treatment.

Objective Detecting of spermatozoal total RNAs by laboratory on chip gel electrophoresis so that it could provide better total RNAs for the sequent experiments, and spur the development of spermatozoal molecular biology. Methods Sperms of healthy adults were collected and then total RNAs were extracted by RNeasy mini kit(QIAGEN), detection and quality control were performed by loboratory on chip gel electrophoresis system. Meantime, the control RNAs were extracted from lymphocytes. Results It was found that there were a plenty of genes expressed in healthy sperms. Electrophoretic graphs showed that the total RNAs of spermatozoal had 2 bands which went ahead a little comparing to the normal somatic cells. The former peak appeared keenness, and the latter was broad and showed like a reversed U. The ratio of them was largely more than 2, no extra peaks were found in electrophoretic graph. Conclusion A simple,intuitionistic method to detect and control the quality of the healthy adults' spermatozoal total RNAs had been successfully constructed by using laboratory on chip gel electrophorosis.