Anti-MCAM monoclonal antibody, clone OJ79c [FITC]

Since effective therapies for melanoma with BRAFV600E mutation are being developed, interest has been shown in the development of therapies for melanoma without BRAFV600E mutation. Recently, interest has also been shown in medical application of non-nequilibrium atmospheric pressure plasmas (NEAPPs). We previously suggested that repeated NEAPP irradiation to spontaneously developed benign melanocytic tumors in RFP-RET-transgenic mice (RET-mice) not only suppresses tumor growth but also prevents malignant transformation. In this study, we first confirmed that transcript expression levels of tumor growth regulators (CyclinD1, D2, E1, E2, G2 and PCNA but not CyclinG1) and tumor invasion regulators [Matrix metalloproteinase (MMP)-2, -9 and -14 and melanoma cell adhesion molecule (MCAM)] in melanomas were significantly higher than those in benign melanocytic tumors in RET-mice. We then showed that transcript expression levels of CyclinE1, G1 and G2 and MMP-2 and -9 in melanomas from RET-mice were significantly decreased by single NEAPP irradiation, whereas transcript expression levels of CyclinD1, D2, E2, PCNA, MCAM and MMP-14 were comparable in untreated and NEAPP-treated melanomas. Since no BrafV600E mutation melanomas have been found in RET-mice, our results suggest that single NEAPP irradiation is a potential therapeutic tool for melanoma without BRAFV600E mutation through modulation of the expression levels of tumor growth and invasion regulators.

Mesh router (MR) placement is one of the fundamental issues that can greatly affect the performance of a wireless mesh network (WMN). A MR placement strategy aims at systematically determining the optimal positions and number of MRs and the optimal number of radio interfaces each MR needs, while taking into account various constraints such as network coverage, connectivity, and traffic demand. In this paper, we study the problem in three network models respectively: (I) Homogeneous network: MRs could be placed anywhere in a network area and traffic demand is uniformly distributed; (2) Heterogeneous network: MRs could be placed anywhere but traffic is non-uniformly distributed; and (3) Constraint network: MRs could be placed only in those pre-decided locations and need to support different traffic demands. We first analyze the problem in homogeneous network to get the theoretical lower bound results. Then we extend our work into heterogeneous network and propose a heuristic algorithm called RTSB (Relaying Traffic Set Based) to obtain the heterogeneous interface configuration. Furthermore, we investigate the problem in constraint network and introduce an algorithm called MCAM (Minimal Coverage plus Add-and-Merge) to achieve MR placement. Our simulation shows that the proposed algorithms can effectively generate the MR placement that meets all the constraints in various network settings.