Tracing TET1 expression in prostate cancer: discovery of malignant cells with a distinct oncogenic signature.

BACKGROUND: Ten-eleven translocation methylcytosine dioxygenase 1 (TET1) is involved in DNA demethylation and transcriptional regulation, plays a key role in the maintenance of stem cell pluripotency, and is dysregulated in malignant cells. The identification of cancer stem cells (CSCs) driving tumor growth and metastasis is the primary objective of biomarker discovery in aggressive prostate cancer (PCa). In this context, we analyzed TET1 expression in PCa. METHODS: A large-scale immunohistochemical analysis of TET1 was performed in normal prostate (NOR) and PCa using conventional slides (50 PCa specimens) and tissue microarrays (669 NOR and 1371 PCa tissue cores from 371 PCa specimens). Western blotting, RT-qPCR, and 450 K methylation array analyses were performed on PCa cell lines. Genome-wide correlation, gene regulatory network, and functional genomics studies were performed using publicly available data sources and bioinformatics tools. RESULTS: In NOR, TET1 was exclusively expressed in normal cytokeratin 903 (CK903)-positive basal cells. In PCa, TET1 was frequently detected in alpha-methylacyl-CoA racemase (AMACR)-positive tumor cell clusters and was detectable at all tumor stages and Gleason scores. Pearson's correlation analyses of PCa revealed 626 TET1-coactivated genes (r > 0.5) primarily encoding chromatin remodeling and mitotic factors. Moreover, signaling pathways regulating antiviral processes (62 zinc finger, ZNF, antiviral proteins) and the pluripotency of stem cells were activated. A significant proportion of detected genes exhibited TET1-correlated promoter hypomethylation. There were 161 genes encoding transcription factors (TFs), of which 133 were ZNF-TFs with promoter binding sites in TET1 and in the vast majority of TET1-coactivated genes. CONCLUSIONS: TET1-expressing cells are an integral part of PCa and may represent CSCs with oncogenic potential.

Effective plasmid DNA and small interfering RNA delivery to diseased human brain microvascular endothelial cells.

Expression of exogenous DNA or small interfering RNA (siRNA) in vitro is significantly affected by the particular delivery system utilized. In this study, we evaluated the transfection efficiency of plasmid DNA and siRNA into human brain microvascular endothelial cells (HBMEC) and meningioma cells, which constitute the blood-cerebrospinal fluid barrier, a target of meningitis-causing pathogens. Chemical transfection methods and various lipofection reagents including Lipofectamin™, FuGene™, or jetPRIME®, as well as physical transfection methods and electroporation techniques were applied. To monitor the transfection efficiencies, HBMEC and meningioma cells were transfected with the reporter plasmid pTagGFP2-actin vector, and efficiency of transfection was estimated by fluorescence microscopy and flow cytometry. We established protocols based on electroporation using Cell Line Nucleofector® Kit V with the Amaxa® Nucleofector® II system from Lonza and the Neon® Transfection system from Invitrogen resulting in up to 41 and 82% green fluorescent protein-positive HBMEC, respectively. Optimal transfection solutions, pulse programs and length were evaluated. We furthermore demonstrated that lipofection is an efficient method to transfect meningioma cells with a transfection efficiency of about 81%. Finally, we applied the successful electroporation protocols to deliver synthetic siRNA to HBMEC and analyzed the role of the actin-binding protein cortactin in Neisseria meningitidis pathogenesis.

Real-time impedance analysis of host cell response to meningococcal infection.

Measuring cell proliferation and cell death during bacterial infection involves performing end-point assays that represent the response at a single time point. A new technology from Roche Applied Science and ACEA Biosciences allows continuous monitoring of cells in real-time using specialized cell culture microplates containing micro-electrodes. The xCELLigence system enables continuous measurement and quantification of cell adhesion, proliferation, spreading, cell death and detachment, thus creating a picture of cell function during bacterial infection. Furthermore, lag and log phases can be determined to estimate optimal times to infect cells. In this study we used this system to provide valuable insights into cell function in response to several virulence factors of the meningitis causing pathogen Neisseria meningitidis, including the lipopolysaccharide (LPS), the polysaccharide capsule and the outer membrane protein Opc. We observed that prolonged time of infection with pathogenic Neisseria strains led to morphological changes including cell rounding and loss of cell-cell contact, thus resulting in changed electrical impedance as monitored in real-time. Furthermore, cell function in response to 14 strains of apathogenic Neisseria spp. (N. lactamica and N. mucosa) was analyzed. In contrast, infection with apathogenic N. lactamica isolates did not change electrical impedance monitored for 48 h. Together our data show that this system can be used as a rapid monitoring tool for cellular function in response to bacterial infection and combines high data acquisition rates with ease of handling.