Project description:We compared genetic profiles of planktonic stage to biofilm stage of deep sea bacterium Pseudoalteromonas sp. SM9913 and revealed genetic features during switch from planktonic to pellicle stage in Pseudoalteromonas sp. SM9913.
Project description:One of the most distinct features of Pseudoalteromonas sp. SCSIO 11900 is its ability to form a very robust pellicle than most Pseudoalteromonas strains. Thus we want to identify the genes essential for the pellicle formation of SCSIO 11900. We compared transcriptom profiles of planktonic cells, initial pellicle and mature pellicle of coral Pseudoalteromonas sp. SCSIO 11900 and revealed that some unique genes from horizontal gene transfer is involved in the pellicle formation of SCSIO 11900.
Project description:We compared genetic profiles of planktonic stage to biofilm stage of deep sea bacterium Pseudoalteromonas sp. SM9913 and revealed genetic features during switch from planktonic to pellicle stage in Pseudoalteromonas sp. SM9913. mRNA profiles of Pseudoalteromonas sp. SM9913 planktonic cells, initial pellicle cells and mature pellicle cells were generated by Illumina Hiseq2000.
Project description:We previously showed that recombinant human chorionic gonadotropin (r-hCG) induces mammary gland differentiation and inhibits mammary tumorigenesis in rats. The present study investigates the impact of r-hCG on the stemness of mammary epithelial cells by using a rat model. We performed microarray analysis of RNA isolated from mammospheres formed by normal mammary epithelial cells extracted from rats treated for 21 days either with r-hCG or vehicle (control).
Project description:To further development of the effects of β-HCG in ovarian cancer SKOV3 cells,we have employed lncRNA and mRNA microarray as a discovery platform to identify lncRNA and mRNA expression in β-HCG overexpressing ovarian cancer cells. SKOV3 cells were transfected with lentiviral vector with eGFP, encoding β-HCG and negative control vector (LV- β-HCG and LV-CON,) by using polybrene. The dysregulation of β-HCG was confirmed by using RT-PCR. RNA was extracted and detected by a lncRNA and mRNA microarray in LV-β-HCG and LV-CON SKOV3 cells. The different expression of lncRNA and mRNA in LV-β-HCG and LV-CON SKOV3 cells was analyzed to explore the mechanism that β-HCG affect ovarain cancer cells.