Effect of Optical Filtering on 20-Gbit/s RZ-DQPSK Transmission over 2000 km in a 64-Channel DWDM System

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Identification of the regulatory proteins in human pancreatic cancers treated with Trichostatin A by 2D-PAGE maps and multivariate statistical analysis.

In this paper, principal component analysis (PCA) is applied to a spot quantity dataset comprising 435 spots detected in 18 samples belonging to two different cell lines (Paca44 and T3M4) of control (untreated) and drug-treated pancreatic ductal carcinoma cells. The aim of the study was the identification of the differences occurring between the proteomic patterns of the two investigated cell lines and the evaluation of the effect of the drug Trichostatin A on the protein content of the cells. PCA turned out to be a successful tool for the identification of the classes of samples present in the dataset. Moreover, the loadings analysis allowed the identification of the differentially expressed spots, which characterise each group of samples. The treatment of both the cell lines with Trichostatin A therefore showed an appreciable effect on the proteomic pattern of the treated samples. Identification of some of the most relevant spots was also performed by mass spectrometry

Optical Transmission System with optical Chromatic Dispersion Compensator

Sistema di trasmissione ottica operante in presenza di un compensatore ottico della dispersione cromatic

“Proteomic profiling of pancreatic ductal carcinoma cell lines treated with trichostatin-A”

A pancreatic adenocarcinoma cell line (Paca44) was treated with trichostatin-A (TSA), a potent inhibitor of histone deacetylases, in order to evaluate the effect of this drug on protein expression. Master maps of control and treated Paca44 cells were generated by analysis with the PDQuest software. The comparison between such maps showed up- and downregulation of 51 polypeptide chains, out of a total of 700 spots detected by a medium-sensitivity stain, micellar Coomassie Brilliant Blue. Fingerprinting by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF)-mass spectrometry analysis enabled the identification of 22 of these spots. Among these proteins, of particular interest are the two downregulated proteins nucleophosmin and translationally controlled tumor protein, as well as the upregulated proteins programmed cell death protein 5 (also designated as TFAR19) and stathmin (oncoprotein 18). The modulation of these four proteins is consistent with our observation that TSA is able to inhibit cell growth of Paca44 by causing cell cycle arrest at the G2 phase and apoptotic cell death

Combined Amplitude-Phase Shift code tolerance to phase modulation profile

The influence of phase modulation characteristics on Combined Amplitude-Phase Shift code performance is investigated both experimentally and by simulation. The interferometric push–pull Mach–Zehnder modulator and the linear Phase Modulator are evaluated when the optimal optical Gaussian filter is exploited. Non-optimal optical filter shape and bandwidth are considered as well. The figure of merit is the maximum distance bridged without optical dispersion compensation on a Standard Single Mode Fiber (SSMF) link. The steepness of phase transitions is critical in determining the performance of the generated CAPS